{"type":"session","version":3,"id":"4c84527a-68b9-4d4a-9860-efa5267ac080","timestamp":"2026-05-03T17:01:27.770Z","cwd":"/home/rurouni","parentSession":"/home/rurouni/.openclaw/agents/main/sessions/2026-05-03T17-01-21-206Z_449d0a7d-b200-4883-820b-0fee2a6f1227.jsonl"} {"type":"model_change","id":"9330653c","parentId":null,"timestamp":"2026-05-03T17:00:50.448Z","provider":"llamacpp","modelId":"Qwen3.5-4B-Q8_0.gguf"} {"type":"thinking_level_change","id":"114f501e","parentId":"9330653c","timestamp":"2026-05-03T17:00:50.448Z","thinkingLevel":"off"} {"type":"custom","customType":"model-snapshot","data":{"timestamp":1777827650454,"provider":"llamacpp","modelApi":"openai-completions","modelId":"Qwen3.5-4B-Q8_0.gguf"},"id":"e406b2be","parentId":"114f501e","timestamp":"2026-05-03T17:00:50.454Z"} {"type":"message","id":"b0c77d37","parentId":"e406b2be","timestamp":"2026-05-03T17:00:50.459Z","message":{"role":"user","content":[{"type":"text","text":"Yes I want you to run a full system audit. From our memory integrity if there’s any redundancy also tell me how our memory works what can be improved check why other people are doing better check GitHub. Also look into our file system our hard drives set up how it’s utilized. Check out actual Debian set up."}],"timestamp":1777827650458}} {"type":"custom_message","customType":"openclaw.runtime-context","content":"Conversation info (untrusted metadata):\n```json\n{\n \"chat_id\": \"telegram:7229867039\",\n \"message_id\": \"1289\",\n \"sender_id\": \"7229867039\",\n \"sender\": \"Raymond\",\n \"timestamp\": \"Sun 2026-05-03 10:00 PDT\"\n}\n```\n\nSender (untrusted metadata):\n```json\n{\n \"label\": \"Raymond (7229867039)\",\n \"id\": \"7229867039\",\n \"name\": \"Raymond\"\n}\n```","display":false,"details":{"source":"openclaw-runtime-context"},"id":"004ecf4f","parentId":"b0c77d37","timestamp":"2026-05-03T17:00:50.459Z"} {"type":"message","id":"499808e0","parentId":"004ecf4f","timestamp":"2026-05-03T17:01:01.030Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"The user wants a comprehensive system audit covering multiple areas: memory integrity, redundancy analysis, memory system optimization, GitHub research on how others do it, file system/hard drive setup utilization, and Debian configuration. This is a complex multi-step task that would benefit from breaking it down and potentially using sub-agents for parallel work.\n\nLet me start by:\n1. Reading MEMORY.md to assess current memory state\n2. Checking file system utilization\n3. Looking at Debian setup\n4. Then potentially searching GitHub for best practices\n\nI'll start with the file-based analysis first, then do web searches for best practices.","thinkingSignature":"reasoning_content"},{"type":"text","text":"I'll run a comprehensive system audit. Let me break this down into parallel tracks - memory analysis, filesystem/hard drive setup, and Debian configuration.\n\n"},{"type":"toolCall","id":"0mMLB4leC2EdsNkZQIZYKqpuXwAnmumD","name":"read","arguments":{"path":"/home/rurouni/MEMORY.md"}},{"type":"toolCall","id":"yY8KcAp8toTAsqyqONQSx2Oj190FWTi1","name":"exec","arguments":{"command":"df -h && echo \"---\" && ls -la / && echo \"---\" && ls -la /home/rurouni && echo \"---\" && ls -la /backup 2>/dev/null || echo \"No /backup dir\" && echo \"---\" && ls -la /archive 2>/dev/null || echo \"No /archive dir\" && echo \"---\" && ls -la /models 2>/dev/null || echo \"No /models dir\" && echo \"---\" && ls -la /data 2>/dev/null || echo \"No /data dir\""}},{"type":"toolCall","id":"LicvnREkyFjA9Pfb8IDwVhk6eZo7ogNa","name":"exec","arguments":{"command":"cat /etc/os-release && echo \"---\" && cat /etc/issue && echo \"---\" && lscpu | head -20"}},{"type":"toolCall","id":"k8tMRP1Ht9OdoJmPNB2P6mIPdvvoyrFQ","name":"web_search","arguments":{"query":"OpenClaw memory system architecture best practices GitHub"}},{"type":"toolCall","id":"iekgk0o7xsEwaa8VCP8uZ7q2Py0y2nDm","name":"web_search","arguments":{"query":"AI agent memory management redundancy optimization GitHub"}}],"api":"openai-completions","provider":"llamacpp","model":"Qwen3.5-4B-Q8_0.gguf","usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":0,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1777827650459,"responseId":"chatcmpl-eIPhD6nFLWXlTInFZCS2Znm1GFQ3SboL"}} {"type":"message","id":"e34dd465","parentId":"499808e0","timestamp":"2026-05-03T17:01:03.473Z","message":{"role":"toolResult","toolCallId":"0mMLB4leC2EdsNkZQIZYKqpuXwAnmumD","toolName":"read","content":[{"type":"text","text":"# MEMORY.md — Ruruni Long-Term Memory\n\nCurated, compact memory for Raymond’s main direct session. Store durable facts, preferences, decisions, and active projects only. Do not store secrets. Raw/dated details belong in `memory/YYYY-MM-DD.md`.\n\n## Identity\n\n- Assistant name: **Ruruni** 🗡️.\n- Role: Raymond’s personal AI companion — calm digital ronin, terminal homie, technical familiar, loyal second brain.\n- Default principle: **Simple. Clean. Safe. Then powerful.**\n\n## Raymond\n\n- Name: **Raymond**; timezone: America/Los_Angeles / Pacific Time.\n- Wants replies casual, direct, warm, witty, technically sharp, privacy-protective, and not yappy.\n- Likes clean copy/paste terminal commands, simple explanation first, deeper detail only when useful.\n- Mild profanity/light slang are okay when natural; do not force memes, overdo slang, or insult Raymond.\n\n## Work Preferences\n\n- Be resourceful before asking: inspect files/state/docs first when safe.\n- Prefer safe, reversible actions; back up before config/memory changes.\n- Warn clearly before destructive, external, privacy-sensitive, or hard-to-reverse actions.\n- Preserve Raymond’s natural voice when rewriting messages.\n- SQL: keep DB2 / IBM i compatibility in mind.\n- Warehouse work: support coaching, productivity, safety, process improvement, accountability, and communication.\n\n## Active OpenClaw Context Work\n\n- 2026-05-03: Raymond noticed GPT-5/OpenClaw compacting too often and asked for a deep dive.\n- Config changed: `/home/rurouni/.openclaw/openclaw.json` `agents.defaults.contextTokens` from `28000` to `128000`.\n- Config changed: `compaction.reserveTokensFloor: 24000`, `compaction.maxActiveTranscriptBytes: 1000000`, `compaction.memoryFlush.softThresholdTokens: 60000`.\n- Backup for config change: `/home/rurouni/backups/context-memory-20260503-012153`.\n- Gateway restart after that change completed successfully.\n- Raymond later saw a context-limit reset warning recommending `reserveTokensFloor >= 20000`; current floor already exceeds that.\n- Raymond said to leave memory search as-is for now after diagnosis showed embeddings unavailable/provider unset behavior.\n- Consolidated duplicate legacy workspace memory/persona set from `.openclaw/workspace` into `/home/rurouni`; legacy copy moved to `/home/rurouni/backups/removed-legacy-openclaw-workspace-20260503-014443`.\n- Backup path change: `/home/rurouni/backups` is now a compatibility symlink to `/backup/rurouni/openclaw-backups` on the dedicated `/backup` drive.\n- Storage layout: `/` + `/home/rurouni` on NVMe root; `/backup` dedicated HDD; `/archive` dedicated HDD; `/models` Samsung SSD; `/data` RAID0 over two Intel SSDs; `/dev/shm/ai-hot` 16G tmpfs.\n- Raymond intentionally allows LAN-bound OpenClaw behind a tight OPNsense firewall; do not “fix” LAN bind/security warnings without asking.\n- Pending: finish research on safe/max OpenClaw context settings for `openai-codex/gpt-5.5` via ChatGPT Plus/auth route before more config changes.\n\n## Memory Hygiene Rules\n\n- Keep `MEMORY.md` short and high-signal; avoid duplicate identity/personality text already in `SOUL.md`, `USER.md`, and `IDENTITY.md`.\n- Use `memory/YYYY-MM-DD.md` for concise daily logs and decisions.\n- Move raw fragments/transcripts to non-indexed archive files after distilling them.\n- Do not load or quote private memory in group chats.\n"}],"isError":false,"timestamp":1777827663473}} {"type":"message","id":"a2f3a1fa","parentId":"e34dd465","timestamp":"2026-05-03T17:01:03.474Z","message":{"role":"toolResult","toolCallId":"yY8KcAp8toTAsqyqONQSx2Oj190FWTi1","toolName":"exec","content":[{"type":"text","text":"Filesystem Size Used Avail Use% Mounted on\nudev 32G 0 32G 0% /dev\ntmpfs 6.3G 1.9M 6.3G 1% /run\nefivarfs 256K 137K 115K 55% /sys/firmware/efi/efivars\n/dev/nvme0n1p2 221G 21G 189G 10% /\ntmpfs 32G 0 32G 0% /dev/shm\ntmpfs 16G 0 16G 0% /dev/shm/ai-hot\ntmpfs 5.0M 0 5.0M 0% /run/lock\ntmpfs 1.0M 0 1.0M 0% /run/credentials/systemd-journald.service\ntmpfs 32G 53M 32G 1% /tmp\n/dev/sdd1 458G 4.2G 430G 1% /models\n/dev/md0 1.5T 2.4M 1.4T 1% /data\n/dev/nvme0n1p1 975M 8.8M 966M 1% /boot/efi\n/dev/sde1 1.8T 2.1M 1.7T 1% /archive\n/dev/sdb1 1.8T 2.9M 1.7T 1% /backup\ntmpfs 1.0M 0 1.0M 0% /run/credentials/getty@tty1.service\ntmpfs 6.3G 12K 6.3G 1% /run/user/1000\n---\ntotal 84\ndrwxr-xr-x 23 root root 4096 May 2 15:28 .\ndrwxr-xr-x 23 root root 4096 May 2 15:28 ..\ndrwxr-xr-x 5 root root 4096 May 2 15:08 archive\ndrwxr-xr-x 7 root root 4096 May 3 01:56 backup\nlrwxrwxrwx 1 root root 7 May 2 12:25 bin -> usr/bin\ndrwxr-xr-x 4 root root 4096 May 2 15:38 boot\ndrwxr-xr-x 6 root root 4096 May 2 19:28 data\ndrwxr-xr-x 20 root root 3620 May 2 17:20 dev\ndrwxr-xr-x 86 root root 4096 May 2 22:35 etc\ndrwxr-xr-x 3 root root 4096 May 2 12:31 home\nlrwxrwxrwx 1 root root 35 May 2 12:27 initrd.img -> boot/initrd.img-6.12.85+deb13-amd64\nlrwxrwxrwx 1 root root 35 May 2 12:26 initrd.img.old -> boot/initrd.img-6.12.73+deb13-amd64\nlrwxrwxrwx 1 root root 7 May 2 12:25 lib -> usr/lib\nlrwxrwxrwx 1 root root 9 May 2 12:25 lib64 -> usr/lib64\ndrwx------ 2 root root 16384 May 2 12:25 lost+found\ndrwxr-xr-x 3 root root 4096 May 2 12:26 media\ndrwxr-xr-x 2 root root 4096 May 2 12:25 mnt\ndrwxr-xr-x 6 root root 4096 May 2 17:46 models\ndrwxrwxrwx 7 root root 4096 May 2 17:44 nvme-cache\ndrwxr-xr-x 5 root root 4096 May 2 18:07 opt\ndr-xr-xr-x 463 root root 0 May 2 17:20 proc\ndrwx------ 9 root root 4096 May 2 22:16 root\ndrwxr-xr-x 27 root root 740 May 3 01:54 run\nlrwxrwxrwx 1 root root 8 May 2 12:25 sbin -> usr/sbin\ndrwxr-xr-x 2 root root 4096 May 2 12:25 srv\ndr-xr-xr-x 13 root root 0 May 2 17:46 sys\ndrwxrwxrwt 11 root root 220 May 3 09:57 tmp\ndrwxr-xr-x 12 root root 4096 May 2 12:25 usr\ndrwxr-xr-x 12 root root 4096 May 2 22:35 var\nlrwxrwxrwx 1 root root 32 May 2 12:27 vmlinuz -> boot/vmlinuz-6.12.85+deb13-amd64\nlrwxrwxrwx 1 root root 32 May 2 12:26 vmlinuz.old -> boot/vmlinuz-6.12.73+deb13-amd64\n---\ntotal 120\ndrwx------ 9 rurouni rurouni 4096 May 3 02:21 .\ndrwxr-xr-x 3 root root 4096 May 2 12:31 ..\n-rw-rw-r-- 1 rurouni rurouni 7835 May 3 00:42 AGENTS.md\nlrwxrwxrwx 1 root root 32 May 3 01:56 backups -> /backup/rurouni/openclaw-backups\n-rw------- 1 rurouni rurouni 26507 May 3 06:02 .bash_history\n-rw-r--r-- 1 rurouni rurouni 220 May 2 12:31 .bash_logout\n-rw-r--r-- 1 rurouni rurouni 3608 May 2 21:39 .bashrc\ndrwx------ 5 rurouni rurouni 4096 May 2 19:41 .config\ndrwxrwxr-x 8 rurouni rurouni 4096 May 3 02:02 .git\n-rw-rw-r-- 1 rurouni rurouni 226 May 3 00:42 HEARTBEAT.md\n-rw-rw-r-- 1 rurouni rurouni 637 May 3 00:45 IDENTITY.md\n-rw------- 1 rurouni rurouni 20 May 2 21:37 .lesshst\ndrwxrwxr-x 3 rurouni rurouni 4096 May 2 14:25 .local\ndrwxrwxr-x 4 rurouni rurouni 4096 May 3 09:57 memory\n-rw-rw-r-- 1 rurouni rurouni 3358 May 3 02:15 MEMORY.md\ndrwxrwxr-x 3 rurouni rurouni 4096 May 2 22:22 .npm\ndrwx------ 18 rurouni rurouni 4096 May 3 10:01 .openclaw\n-rw-r--r-- 1 rurouni rurouni 807 May 2 12:31 .profile\n-rw-rw-r-- 1 rurouni rurouni 3733 May 3 00:46 SOUL.md\ndrwx------ 2 rurouni rurouni 4096 May 2 22:13 .ssh\n-rw-r--r-- 1 rurouni rurouni 0 May 2 14:33 .sudo_as_admin_successful\n-rw-rw-r-- 1 rurouni rurouni 920 May 3 00:42 TOOLS.md\n-rw-rw-r-- 1 rurouni rurouni 1750 May 3 00:45 USER.md\n-rw-rw-r-- 1 rurouni rurouni 80 May 3 02:21 .zshrc\n---\ntotal 40\ndrwxr-xr-x 7 root root 4096 May 3 01:56 .\ndrwxr-xr-x 23 root root 4096 May 2 15:28 ..\ndrwxr-xr-x 3 root root 4096 May 2 19:28 configs\ndrwxr-xr-x 2 root root 4096 May 2 15:08 data\ndrwx------ 2 root root 16384 May 2 15:03 lost+found\ndrwxr-xr-x 3 rurouni rurouni 4096 May 3 01:56 rurouni\ndrwxr-xr-x 2 root root 4096 May 2 15:08 snapshots\n-rw-r--r-- 1 root root 0 May 2 15:08 test\n---\ntotal 32\ndrwxr-xr-x 5 root root 4096 May 2 15:08 .\ndrwxr-xr-x 23 root root 4096 May 2 15:28 ..\ndrwxr-xr-x 2 root root 4096 May 2 15:08 datasets\ndrwx------ 2 root root 16384 May 2 15:03 lost+found\ndrwxr-xr-x 2 root root 4096 May 2 15:08 old\n-rw-r--r-- 1 root root 0 May 2 15:08 test\n---\ntotal 36\ndrwxr-xr-x 6 root root 4096 May 2 17:46 .\ndrwxr-xr-x 23 root root 4096 May 2 15:28 ..\ndrwxr-xr-x 2 root root 4096 May 2 18:03 downloads\ndrwxr-xr-x 2 root root 4096 May 2 18:03 gguf\ndrwxr-xr-x 2 root root 4096 May 2 15:57 llm\ndrwxr-xr-x 2 root root 16384 May 2 14:52 lost+found\n---\ntotal 36\ndrwxr-xr-x 6 root root 4096 May 2 19:28 .\ndrwxr-xr-x 23 root root 4096 May 2 15:28 ..\ndrwxr-xr-x 4 root root 4096 May 2 19:28 cache\ndrwxr-xr-x 4 root root 4096 May 2 17:53 logs\ndrwx------ 2 root root 16384 May 2 14:47 lost+found\ndrwxr-xr-x 5 root root 4096 May 2 19:28 openclaw"}],"details":{"status":"completed","exitCode":0,"durationMs":31,"aggregated":"Filesystem Size Used Avail Use% Mounted on\nudev 32G 0 32G 0% /dev\ntmpfs 6.3G 1.9M 6.3G 1% /run\nefivarfs 256K 137K 115K 55% /sys/firmware/efi/efivars\n/dev/nvme0n1p2 221G 21G 189G 10% /\ntmpfs 32G 0 32G 0% /dev/shm\ntmpfs 16G 0 16G 0% /dev/shm/ai-hot\ntmpfs 5.0M 0 5.0M 0% /run/lock\ntmpfs 1.0M 0 1.0M 0% /run/credentials/systemd-journald.service\ntmpfs 32G 53M 32G 1% /tmp\n/dev/sdd1 458G 4.2G 430G 1% /models\n/dev/md0 1.5T 2.4M 1.4T 1% /data\n/dev/nvme0n1p1 975M 8.8M 966M 1% /boot/efi\n/dev/sde1 1.8T 2.1M 1.7T 1% /archive\n/dev/sdb1 1.8T 2.9M 1.7T 1% /backup\ntmpfs 1.0M 0 1.0M 0% /run/credentials/getty@tty1.service\ntmpfs 6.3G 12K 6.3G 1% /run/user/1000\n---\ntotal 84\ndrwxr-xr-x 23 root root 4096 May 2 15:28 .\ndrwxr-xr-x 23 root root 4096 May 2 15:28 ..\ndrwxr-xr-x 5 root root 4096 May 2 15:08 archive\ndrwxr-xr-x 7 root root 4096 May 3 01:56 backup\nlrwxrwxrwx 1 root root 7 May 2 12:25 bin -> usr/bin\ndrwxr-xr-x 4 root root 4096 May 2 15:38 boot\ndrwxr-xr-x 6 root root 4096 May 2 19:28 data\ndrwxr-xr-x 20 root root 3620 May 2 17:20 dev\ndrwxr-xr-x 86 root root 4096 May 2 22:35 etc\ndrwxr-xr-x 3 root root 4096 May 2 12:31 home\nlrwxrwxrwx 1 root root 35 May 2 12:27 initrd.img -> boot/initrd.img-6.12.85+deb13-amd64\nlrwxrwxrwx 1 root root 35 May 2 12:26 initrd.img.old -> boot/initrd.img-6.12.73+deb13-amd64\nlrwxrwxrwx 1 root root 7 May 2 12:25 lib -> usr/lib\nlrwxrwxrwx 1 root root 9 May 2 12:25 lib64 -> usr/lib64\ndrwx------ 2 root root 16384 May 2 12:25 lost+found\ndrwxr-xr-x 3 root root 4096 May 2 12:26 media\ndrwxr-xr-x 2 root root 4096 May 2 12:25 mnt\ndrwxr-xr-x 6 root root 4096 May 2 17:46 models\ndrwxrwxrwx 7 root root 4096 May 2 17:44 nvme-cache\ndrwxr-xr-x 5 root root 4096 May 2 18:07 opt\ndr-xr-xr-x 463 root root 0 May 2 17:20 proc\ndrwx------ 9 root root 4096 May 2 22:16 root\ndrwxr-xr-x 27 root root 740 May 3 01:54 run\nlrwxrwxrwx 1 root root 8 May 2 12:25 sbin -> usr/sbin\ndrwxr-xr-x 2 root root 4096 May 2 12:25 srv\ndr-xr-xr-x 13 root root 0 May 2 17:46 sys\ndrwxrwxrwt 11 root root 220 May 3 09:57 tmp\ndrwxr-xr-x 12 root root 4096 May 2 12:25 usr\ndrwxr-xr-x 12 root root 4096 May 2 22:35 var\nlrwxrwxrwx 1 root root 32 May 2 12:27 vmlinuz -> boot/vmlinuz-6.12.85+deb13-amd64\nlrwxrwxrwx 1 root root 32 May 2 12:26 vmlinuz.old -> boot/vmlinuz-6.12.73+deb13-amd64\n---\ntotal 120\ndrwx------ 9 rurouni rurouni 4096 May 3 02:21 .\ndrwxr-xr-x 3 root root 4096 May 2 12:31 ..\n-rw-rw-r-- 1 rurouni rurouni 7835 May 3 00:42 AGENTS.md\nlrwxrwxrwx 1 root root 32 May 3 01:56 backups -> /backup/rurouni/openclaw-backups\n-rw------- 1 rurouni rurouni 26507 May 3 06:02 .bash_history\n-rw-r--r-- 1 rurouni rurouni 220 May 2 12:31 .bash_logout\n-rw-r--r-- 1 rurouni rurouni 3608 May 2 21:39 .bashrc\ndrwx------ 5 rurouni rurouni 4096 May 2 19:41 .config\ndrwxrwxr-x 8 rurouni rurouni 4096 May 3 02:02 .git\n-rw-rw-r-- 1 rurouni rurouni 226 May 3 00:42 HEARTBEAT.md\n-rw-rw-r-- 1 rurouni rurouni 637 May 3 00:45 IDENTITY.md\n-rw------- 1 rurouni rurouni 20 May 2 21:37 .lesshst\ndrwxrwxr-x 3 rurouni rurouni 4096 May 2 14:25 .local\ndrwxrwxr-x 4 rurouni rurouni 4096 May 3 09:57 memory\n-rw-rw-r-- 1 rurouni rurouni 3358 May 3 02:15 MEMORY.md\ndrwxrwxr-x 3 rurouni rurouni 4096 May 2 22:22 .npm\ndrwx------ 18 rurouni rurouni 4096 May 3 10:01 .openclaw\n-rw-r--r-- 1 rurouni rurouni 807 May 2 12:31 .profile\n-rw-rw-r-- 1 rurouni rurouni 3733 May 3 00:46 SOUL.md\ndrwx------ 2 rurouni rurouni 4096 May 2 22:13 .ssh\n-rw-r--r-- 1 rurouni rurouni 0 May 2 14:33 .sudo_as_admin_successful\n-rw-rw-r-- 1 rurouni rurouni 920 May 3 00:42 TOOLS.md\n-rw-rw-r-- 1 rurouni rurouni 1750 May 3 00:45 USER.md\n-rw-rw-r-- 1 rurouni rurouni 80 May 3 02:21 .zshrc\n---\ntotal 40\ndrwxr-xr-x 7 root root 4096 May 3 01:56 .\ndrwxr-xr-x 23 root root 4096 May 2 15:28 ..\ndrwxr-xr-x 3 root root 4096 May 2 19:28 configs\ndrwxr-xr-x 2 root root 4096 May 2 15:08 data\ndrwx------ 2 root root 16384 May 2 15:03 lost+found\ndrwxr-xr-x 3 rurouni rurouni 4096 May 3 01:56 rurouni\ndrwxr-xr-x 2 root root 4096 May 2 15:08 snapshots\n-rw-r--r-- 1 root root 0 May 2 15:08 test\n---\ntotal 32\ndrwxr-xr-x 5 root root 4096 May 2 15:08 .\ndrwxr-xr-x 23 root root 4096 May 2 15:28 ..\ndrwxr-xr-x 2 root root 4096 May 2 15:08 datasets\ndrwx------ 2 root root 16384 May 2 15:03 lost+found\ndrwxr-xr-x 2 root root 4096 May 2 15:08 old\n-rw-r--r-- 1 root root 0 May 2 15:08 test\n---\ntotal 36\ndrwxr-xr-x 6 root root 4096 May 2 17:46 .\ndrwxr-xr-x 23 root root 4096 May 2 15:28 ..\ndrwxr-xr-x 2 root root 4096 May 2 18:03 downloads\ndrwxr-xr-x 2 root root 4096 May 2 18:03 gguf\ndrwxr-xr-x 2 root root 4096 May 2 15:57 llm\ndrwxr-xr-x 2 root root 16384 May 2 14:52 lost+found\n---\ntotal 36\ndrwxr-xr-x 6 root root 4096 May 2 19:28 .\ndrwxr-xr-x 23 root root 4096 May 2 15:28 ..\ndrwxr-xr-x 4 root root 4096 May 2 19:28 cache\ndrwxr-xr-x 4 root root 4096 May 2 17:53 logs\ndrwx------ 2 root root 16384 May 2 14:47 lost+found\ndrwxr-xr-x 5 root root 4096 May 2 19:28 openclaw","cwd":"/home/rurouni"},"isError":false,"timestamp":1777827663473}} {"type":"message","id":"823a8487","parentId":"a2f3a1fa","timestamp":"2026-05-03T17:01:03.474Z","message":{"role":"toolResult","toolCallId":"LicvnREkyFjA9Pfb8IDwVhk6eZo7ogNa","toolName":"exec","content":[{"type":"text","text":"PRETTY_NAME=\"Debian GNU/Linux 13 (trixie)\"\nNAME=\"Debian GNU/Linux\"\nVERSION_ID=\"13\"\nVERSION=\"13 (trixie)\"\nVERSION_CODENAME=trixie\nDEBIAN_VERSION_FULL=13.4\nID=debian\nHOME_URL=\"https://www.debian.org/\"\nSUPPORT_URL=\"https://www.debian.org/support\"\nBUG_REPORT_URL=\"https://bugs.debian.org/\"\n---\nDebian GNU/Linux 13 \\n \\l\n\n---\nArchitecture: x86_64\nCPU op-mode(s): 32-bit, 64-bit\nAddress sizes: 46 bits physical, 48 bits virtual\nByte Order: Little Endian\nCPU(s): 32\nOn-line CPU(s) list: 0-31\nVendor ID: GenuineIntel\nModel name: Intel(R) Xeon(R) CPU E5-2697A v4 @ 2.60GHz\nCPU family: 6\nModel: 79\nThread(s) per core: 2\nCore(s) per socket: 16\nSocket(s): 1\nStepping: 1\nCPU(s) scaling MHz: 46%\nCPU max MHz: 3600.0000\nCPU min MHz: 1200.0000\nBogoMIPS: 5187.49\nFlags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l3 cdp_l3 pti intel_ppin ssbd ibrs ibpb stibp tpr_shadow flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm cqm rdt_a rdseed adx smap intel_pt xsaveopt cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts vnmi md_clear flush_l1d\nVirtualization: VT-x"}],"details":{"status":"completed","exitCode":0,"durationMs":77,"aggregated":"PRETTY_NAME=\"Debian GNU/Linux 13 (trixie)\"\nNAME=\"Debian GNU/Linux\"\nVERSION_ID=\"13\"\nVERSION=\"13 (trixie)\"\nVERSION_CODENAME=trixie\nDEBIAN_VERSION_FULL=13.4\nID=debian\nHOME_URL=\"https://www.debian.org/\"\nSUPPORT_URL=\"https://www.debian.org/support\"\nBUG_REPORT_URL=\"https://bugs.debian.org/\"\n---\nDebian GNU/Linux 13 \\n \\l\n\n---\nArchitecture: x86_64\nCPU op-mode(s): 32-bit, 64-bit\nAddress sizes: 46 bits physical, 48 bits virtual\nByte Order: Little Endian\nCPU(s): 32\nOn-line CPU(s) list: 0-31\nVendor ID: GenuineIntel\nModel name: Intel(R) Xeon(R) CPU E5-2697A v4 @ 2.60GHz\nCPU family: 6\nModel: 79\nThread(s) per core: 2\nCore(s) per socket: 16\nSocket(s): 1\nStepping: 1\nCPU(s) scaling MHz: 46%\nCPU max MHz: 3600.0000\nCPU min MHz: 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Whether building a simple agent or a complex multi-agent system , these patterns provide a solid foundation.\n<<>>","siteName":"dev.to"},{"title":"\n<<>>\nSource: Web Search\n---\nYour OpenClaw Forgets Everything? Fix That in 10 Minutes.\n<<>>","url":"http://openclawpulse.com/openclaw-memory-system-guide/","snippet":"\n<<>>\nSource: Web Search\n---\nIt just needs a memory system . Whether you're running ClawdBot, MoltBot, or a custom OpenClaw agent, the fix is the same. This guide walks you through the complete OpenClaw memory architecture — what each file does, how to set it up, and the advanced tricks that make your bot feel like it actually knows you. Why OpenClaw Forgets Everything\n<<>>","siteName":"openclawpulse.com"}]},"isError":false,"timestamp":1777827663474}} {"type":"message","id":"1bf26a6e","parentId":"79be60a0","timestamp":"2026-05-03T17:01:03.477Z","message":{"role":"toolResult","toolCallId":"iekgk0o7xsEwaa8VCP8uZ7q2Py0y2nDm","toolName":"web_search","content":[{"type":"text","text":"{\n \"query\": \"AI agent memory management redundancy optimization GitHub\",\n \"provider\": \"duckduckgo\",\n \"count\": 5,\n \"tookMs\": 1921,\n \"externalContent\": {\n \"untrusted\": true,\n \"source\": \"web_search\",\n \"provider\": \"duckduckgo\",\n \"wrapped\": true\n },\n \"results\": [\n {\n \"title\": \"\\n<<>>\\nSource: Web Search\\n---\\nFareedKhan-dev/optimize-ai-agent-memory - GitHub\\n<<>>\",\n \"url\": \"https://github.com/FareedKhan-dev/optimize-ai-agent-memory\",\n \"snippet\": \"\\n<<>>\\nSource: Web Search\\n---\\nIn this blog, we will code and evaluate 9 beginner-to-advanced memory optimization techniques for AI agents . You will learn how to apply each technique, along with their advantages and drawbacks—from simple sequential approaches to advanced, OS-like memory management implementations.\\n<<>>\",\n \"siteName\": \"github.com\"\n },\n {\n \"title\": \"\\n<<>>\\nSource: Web Search\\n---\\nMnemosyne: Semantic Memory & Multi-Agent Orchestration\\n<<>>\",\n \"url\": \"https://rand.github.io/mnemosyne/\",\n \"snippet\": \"\\n<<>>\\nSource: Web Search\\n---\\nMnemosyne treats memory and agents as unified concerns. 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With only 152 training QA pairs, Memory -R1 outperforms strong baselines and generalizes across diverse question types, three benchmarks (LoCoMo, MSC, LongMemEval), and multiple model scales (3B-14B).\\n<<>>\",\n \"siteName\": \"arxiv.org\"\n },\n {\n \"title\": \"\\n<<>>\\nSource: Web Search\\n---\\nBeads: A Git-Friendly Issue Tracker for AI Coding Agents\\n<<>>\",\n \"url\": \"https://betterstack.com/community/guides/ai/beads-issue-tracker-ai-agents/\",\n \"snippet\": \"\\n<<>>\\nSource: Web Search\\n---\\nLearn how Beads solves the context window problem for AI coding agents through a Git-native issue tracker with SQLite storage, JSON-L synchronization, and explicit dependency management for persistent project memory across development sessions.\\n<<>>\",\n \"siteName\": \"betterstack.com\"\n },\n {\n \"title\": \"\\n<<>>\\nSource: Web Search\\n---\\nContext Engineering - Short-Term Memory Management with Sessions from ...\\n<<>>\",\n \"url\": \"https://developers.openai.com/cookbook/examples/agents_sdk/session_memory\",\n \"snippet\": \"\\n<<>>\\nSource: Web Search\\n---\\nThis makes context management not just an optimization , but a necessity. In this cookbook, we'll explore how to manage context effectively using the Session object from the OpenAI Agents SDK, focusing on two proven context management techniques— trimming and compression —to keep agents fast, reliable, and cost-efficient.\\n<<>>\",\n \"siteName\": \"developers.openai.com\"\n }\n ]\n}"}],"details":{"query":"AI agent memory management redundancy optimization GitHub","provider":"duckduckgo","count":5,"tookMs":1921,"externalContent":{"untrusted":true,"source":"web_search","provider":"duckduckgo","wrapped":true},"results":[{"title":"\n<<>>\nSource: Web Search\n---\nFareedKhan-dev/optimize-ai-agent-memory - GitHub\n<<>>","url":"https://github.com/FareedKhan-dev/optimize-ai-agent-memory","snippet":"\n<<>>\nSource: Web Search\n---\nIn this blog, we will code and evaluate 9 beginner-to-advanced memory optimization techniques for AI agents . 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Provide the actual conversation content for summarization\n2. Review the conversation history before generating summary\n\n## Critical Context\n- (none) - No data, examples, or references to preserve","firstKeptEntryId":"9330653c","tokensBefore":4878,"details":{"readFiles":[],"modifiedFiles":[]},"fromHook":false} {"type":"custom_message","customType":"openclaw.runtime-context","content":"Conversation info (untrusted metadata):\n```json\n{\n \"chat_id\": \"telegram:7229867039\",\n \"message_id\": \"1289\",\n \"sender_id\": \"7229867039\",\n \"sender\": \"Raymond\",\n \"timestamp\": \"Sun 2026-05-03 10:00 PDT\"\n}\n```\n\nSender (untrusted metadata):\n```json\n{\n \"label\": \"Raymond (7229867039)\",\n \"id\": \"7229867039\",\n \"name\": \"Raymond\"\n}\n```","display":false,"details":{"source":"openclaw-runtime-context"},"id":"c03d2e83","parentId":"cde0707d","timestamp":"2026-05-03T17:01:09.072Z"} {"type":"message","id":"c227b9c0","parentId":"c03d2e83","timestamp":"2026-05-03T17:01:09.245Z","message":{"role":"assistant","content":[{"type":"text","text":"[assistant turn failed before producing content]"}],"api":"openai-completions","provider":"llamacpp","model":"Qwen3.5-4B-Q8_0.gguf","usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":0,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"error","timestamp":1777827669072,"errorMessage":"400 request (22348 tokens) exceeds the available context size (16384 tokens), try increasing it"}} {"type":"compaction","id":"f871fa39","parentId":"c227b9c0","timestamp":"2026-05-03T17:01:14.725Z","summary":"## Goal\n- [none] - No conversation content provided to analyze\n\n## Constraints & Preferences\n- (none)\n\n## Progress\n### Done\n- [ ] No tasks completed - conversation content is empty\n\n### In Progress\n- [ ] No work in progress\n\n### Blocked\n- [ ] Cannot proceed - conversation input is missing\n\n## Key Decisions\n- No decisions made - no conversation context available\n\n## Next Steps\n1. Provide the actual conversation content for summarization\n2. Review the conversation history before generating summary\n\n## Critical Context\n- (none) - No data, examples, or references to preserve","firstKeptEntryId":"9330653c","tokensBefore":5050,"details":{"readFiles":[],"modifiedFiles":[]},"fromHook":false} {"type":"custom_message","customType":"openclaw.runtime-context","content":"Conversation info (untrusted metadata):\n```json\n{\n \"chat_id\": \"telegram:7229867039\",\n \"message_id\": \"1289\",\n \"sender_id\": \"7229867039\",\n \"sender\": \"Raymond\",\n \"timestamp\": \"Sun 2026-05-03 10:00 PDT\"\n}\n```\n\nSender (untrusted metadata):\n```json\n{\n \"label\": \"Raymond (7229867039)\",\n \"id\": \"7229867039\",\n \"name\": \"Raymond\"\n}\n```","display":false,"details":{"source":"openclaw-runtime-context"},"id":"19e5ef72","parentId":"f871fa39","timestamp":"2026-05-03T17:01:15.583Z"} {"type":"message","id":"822ab83a","parentId":"19e5ef72","timestamp":"2026-05-03T17:01:15.756Z","message":{"role":"assistant","content":[{"type":"text","text":"[assistant turn failed before producing content]"}],"api":"openai-completions","provider":"llamacpp","model":"Qwen3.5-4B-Q8_0.gguf","usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":0,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"error","timestamp":1777827675584,"errorMessage":"400 request (22348 tokens) exceeds the available context size (16384 tokens), try increasing it"}} {"type":"compaction","id":"a59e456a","parentId":"822ab83a","timestamp":"2026-05-03T17:01:20.888Z","summary":"## Goal\n- [none] - No conversation content provided to analyze\n\n## Constraints & Preferences\n- (none)\n\n## Progress\n### Done\n- [ ] No tasks completed - conversation content is empty\n\n### In Progress\n- [ ] No work in progress\n\n### Blocked\n- [ ] Cannot proceed - conversation input is missing\n\n## Key Decisions\n- No decisions made - no conversation context available\n\n## Next Steps\n1. Provide the actual conversation content for summarization\n2. Review the conversation history before generating summary\n\n## Critical Context\n- (none) - No data, examples, or references to preserve","firstKeptEntryId":"9330653c","tokensBefore":5145,"details":{"readFiles":[],"modifiedFiles":[]},"fromHook":false} {"type":"custom_message","customType":"openclaw.runtime-context","content":"Conversation info (untrusted metadata):\n```json\n{\n \"chat_id\": \"telegram:7229867039\",\n \"message_id\": \"1289\",\n \"sender_id\": \"7229867039\",\n \"sender\": \"Raymond\",\n \"timestamp\": \"Sun 2026-05-03 10:00 PDT\"\n}\n```\n\nSender (untrusted metadata):\n```json\n{\n \"label\": \"Raymond (7229867039)\",\n \"id\": \"7229867039\",\n \"name\": \"Raymond\"\n}\n```","display":false,"details":{"source":"openclaw-runtime-context"},"id":"0b21bdad","parentId":"a59e456a","timestamp":"2026-05-03T17:01:21.759Z"} {"type":"message","id":"03052f7f","parentId":"0b21bdad","timestamp":"2026-05-03T17:01:21.935Z","message":{"role":"assistant","content":[{"type":"text","text":"[assistant turn failed before producing content]"}],"api":"openai-completions","provider":"llamacpp","model":"Qwen3.5-4B-Q8_0.gguf","usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":0,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"error","timestamp":1777827681760,"errorMessage":"400 request (22348 tokens) exceeds the available context size (16384 tokens), try increasing it"}} {"type":"compaction","id":"d36d3037","parentId":"03052f7f","timestamp":"2026-05-03T17:01:27.455Z","summary":"## Goal\n- [none] - No conversation content provided to analyze\n\n## Constraints & Preferences\n- (none)\n\n## Progress\n### Done\n- [ ] No tasks completed - conversation content is empty\n\n### In Progress\n- [ ] No work in progress\n\n### Blocked\n- [ ] Cannot proceed - conversation input is missing\n\n## Key Decisions\n- No decisions made - no conversation context available\n\n## Next Steps\n1. Provide the actual conversation content for summarization\n2. Review the conversation history before generating summary\n\n## Critical Context\n- (none) - No data, examples, or references to preserve","firstKeptEntryId":"9330653c","tokensBefore":5240,"details":{"readFiles":[],"modifiedFiles":[]},"fromHook":false} {"type":"message","id":"11f1b132","parentId":"d36d3037","timestamp":"2026-05-03T17:01:27.763Z","message":{"role":"assistant","content":[{"type":"text","text":"[assistant turn failed before producing content]"}],"api":"openai-completions","provider":"llamacpp","model":"Qwen3.5-4B-Q8_0.gguf","usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":0,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"error","timestamp":1777827687563,"errorMessage":"400 request (22155 tokens) exceeds the available context size (16384 tokens), try increasing it"}} {"type":"message","id":"04c27ca9","parentId":"79be60a0","timestamp":"2026-05-03T17:01:27.804Z","message":{"role":"toolResult","toolCallId":"iekgk0o7xsEwaa8VCP8uZ7q2Py0y2nDm","toolName":"web_search","content":[{"type":"text","text":"{\n \"query\": \"AI agent memory management redundancy optimization GitHub\",\n \"provider\": \"duckduckgo\",\n \"count\": 5,\n \"tookMs\": 1921,\n \"externalContent\": {\n \"untrusted\": true,\n \"source\": \"web_search\",\n \"provider\": \"duckduckgo\",\n \"wrapped\": true\n },\n \"results\": [\n {\n \"title\": \"\\n<<>>\\nSource: Web Search\\n---\\nFareedKhan-dev/optimize-ai-agent-memory - GitHub\\n<<>>\",\n \"siteName\": \"developers.openai.com\"\n }\n ]\n}[... 3546 more characters truncated]"}],"details":{"query":"AI agent memory management redundancy optimization GitHub","provider":"duckduckgo","count":5,"tookMs":1921,"externalContent":{"untrusted":true,"source":"web_search","provider":"duckduckgo","wrapped":true},"results":[{"title":"\n<<>>\nSource: Web Search\n---\nFareedKhan-dev/optimize-ai-agent-memory - GitHub\n<<>>","url":"https://github.com/FareedKhan-dev/optimize-ai-agent-memory","snippet":"\n<<>>\nSource: Web Search\n---\nIn this blog, we will code and evaluate 9 beginner-to-advanced memory optimization techniques for AI agents . You will learn how to apply each technique, along with their advantages and drawbacks—from simple sequential approaches to advanced, OS-like memory management implementations.\n<<>>","siteName":"github.com"},{"title":"\n<<>>\nSource: Web Search\n---\nMnemosyne: Semantic Memory & Multi-Agent Orchestration\n<<>>","url":"https://rand.github.io/mnemosyne/","snippet":"\n<<>>\nSource: Web Search\n---\nMnemosyne treats memory and agents as unified concerns. Where MemGPT provides sophisticated single- agent memory management and Mem0 offers production-grade graph storage, Mnemosyne integrates persistent memory with multi- agent orchestration and autonomous evolution.\n<<>>","siteName":"rand.github.io"},{"title":"\n<<>>\nSource: Web Search\n---\nMemory-R1: Enhancing Large Language Model Agents to Manage and Utilize ...\n<<>>","url":"https://arxiv.org/abs/2508.19828","snippet":"\n<<>>\nSource: Web Search\n---\nBoth agents are fine-tuned with outcome-driven RL (PPO and GRPO), enabling adaptive memory management with minimal supervision. With only 152 training QA pairs, Memory -R1 outperforms strong baselines and generalizes across diverse question types, three benchmarks (LoCoMo, MSC, LongMemEval), and multiple model scales (3B-14B).\n<<>>","siteName":"arxiv.org"},{"title":"\n<<>>\nSource: Web Search\n---\nBeads: A Git-Friendly Issue Tracker for AI Coding Agents\n<<>>","url":"https://betterstack.com/community/guides/ai/beads-issue-tracker-ai-agents/","snippet":"\n<<>>\nSource: Web Search\n---\nLearn how Beads solves the context window problem for AI coding agents through a Git-native issue tracker with SQLite storage, JSON-L synchronization, and explicit dependency management for persistent project memory across development sessions.\n<<>>","siteName":"betterstack.com"},{"title":"\n<<>>\nSource: Web Search\n---\nContext Engineering - Short-Term Memory Management with Sessions from ...\n<<>>","url":"https://developers.openai.com/cookbook/examples/agents_sdk/session_memory","snippet":"\n<<>>\nSource: Web Search\n---\nThis makes context management not just an optimization , but a necessity. In this cookbook, we'll explore how to manage context effectively using the Session object from the OpenAI Agents SDK, focusing on two proven context management techniques— trimming and compression —to keep agents fast, reliable, and cost-efficient.\n<<>>","siteName":"developers.openai.com"}]},"isError":false,"timestamp":1777827663474}} {"type":"message","id":"5c48d2d6","parentId":"04c27ca9","timestamp":"2026-05-03T17:01:27.804Z","message":{"role":"assistant","content":[{"type":"text","text":"[assistant turn failed before producing content]"}],"api":"openai-completions","provider":"llamacpp","model":"Qwen3.5-4B-Q8_0.gguf","usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":0,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"error","timestamp":1777827663480,"errorMessage":"400 request (22254 tokens) exceeds the available context size (16384 tokens), try increasing it"}} {"type":"compaction","id":"9450f4c4","parentId":"5c48d2d6","timestamp":"2026-05-03T17:01:27.804Z","summary":"## Goal\n- [none] - No conversation content provided to analyze\n\n## Constraints & Preferences\n- (none)\n\n## Progress\n### Done\n- [ ] No tasks completed - conversation content is empty\n\n### In Progress\n- [ ] No work in progress\n\n### Blocked\n- [ ] Cannot proceed - conversation input is missing\n\n## Key Decisions\n- No decisions made - no conversation context available\n\n## Next Steps\n1. Provide the actual conversation content for summarization\n2. Review the conversation history before generating summary\n\n## Critical Context\n- (none) - No data, examples, or references to preserve","firstKeptEntryId":"9330653c","tokensBefore":4878,"details":{"readFiles":[],"modifiedFiles":[]},"fromHook":false} {"type":"custom_message","customType":"openclaw.runtime-context","content":"Conversation info (untrusted metadata):\n```json\n{\n \"chat_id\": \"telegram:7229867039\",\n \"message_id\": \"1289\",\n \"sender_id\": \"7229867039\",\n \"sender\": \"Raymond\",\n \"timestamp\": \"Sun 2026-05-03 10:00 PDT\"\n}\n```\n\nSender (untrusted metadata):\n```json\n{\n \"label\": \"Raymond (7229867039)\",\n \"id\": \"7229867039\",\n \"name\": \"Raymond\"\n}\n```","display":false,"details":{"source":"openclaw-runtime-context"},"id":"e6686871","parentId":"9450f4c4","timestamp":"2026-05-03T17:01:27.804Z"} {"type":"message","id":"b87292c1","parentId":"e6686871","timestamp":"2026-05-03T17:01:27.804Z","message":{"role":"assistant","content":[{"type":"text","text":"[assistant turn failed before producing content]"}],"api":"openai-completions","provider":"llamacpp","model":"Qwen3.5-4B-Q8_0.gguf","usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":0,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"error","timestamp":1777827669072,"errorMessage":"400 request (22348 tokens) exceeds the available context size (16384 tokens), try increasing it"}} {"type":"compaction","id":"f766f5f2","parentId":"b87292c1","timestamp":"2026-05-03T17:01:27.804Z","summary":"## Goal\n- [none] - No conversation content provided to analyze\n\n## Constraints & Preferences\n- (none)\n\n## Progress\n### Done\n- [ ] No tasks completed - conversation content is empty\n\n### In Progress\n- [ ] No work in progress\n\n### Blocked\n- [ ] Cannot proceed - conversation input is missing\n\n## Key Decisions\n- No decisions made - no conversation context available\n\n## Next Steps\n1. Provide the actual conversation content for summarization\n2. Review the conversation history before generating summary\n\n## Critical Context\n- (none) - No data, examples, or references to preserve","firstKeptEntryId":"9330653c","tokensBefore":5050,"details":{"readFiles":[],"modifiedFiles":[]},"fromHook":false} {"type":"custom_message","customType":"openclaw.runtime-context","content":"Conversation info (untrusted metadata):\n```json\n{\n \"chat_id\": \"telegram:7229867039\",\n \"message_id\": \"1289\",\n \"sender_id\": \"7229867039\",\n \"sender\": \"Raymond\",\n \"timestamp\": \"Sun 2026-05-03 10:00 PDT\"\n}\n```\n\nSender (untrusted metadata):\n```json\n{\n \"label\": \"Raymond (7229867039)\",\n \"id\": \"7229867039\",\n \"name\": \"Raymond\"\n}\n```","display":false,"details":{"source":"openclaw-runtime-context"},"id":"1997fb07","parentId":"f766f5f2","timestamp":"2026-05-03T17:01:27.804Z"} {"type":"message","id":"3cc58545","parentId":"1997fb07","timestamp":"2026-05-03T17:01:27.804Z","message":{"role":"assistant","content":[{"type":"text","text":"[assistant turn failed before producing content]"}],"api":"openai-completions","provider":"llamacpp","model":"Qwen3.5-4B-Q8_0.gguf","usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":0,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"error","timestamp":1777827675584,"errorMessage":"400 request (22348 tokens) exceeds the available context size (16384 tokens), try increasing it"}} {"type":"compaction","id":"0a3b05fc","parentId":"3cc58545","timestamp":"2026-05-03T17:01:27.804Z","summary":"## Goal\n- [none] - No conversation content provided to analyze\n\n## Constraints & Preferences\n- (none)\n\n## Progress\n### Done\n- [ ] No tasks completed - conversation content is empty\n\n### In Progress\n- [ ] No work in progress\n\n### Blocked\n- [ ] Cannot proceed - conversation input is missing\n\n## Key Decisions\n- No decisions made - no conversation context available\n\n## Next Steps\n1. Provide the actual conversation content for summarization\n2. Review the conversation history before generating summary\n\n## Critical Context\n- (none) - No data, examples, or references to preserve","firstKeptEntryId":"9330653c","tokensBefore":5145,"details":{"readFiles":[],"modifiedFiles":[]},"fromHook":false} {"type":"custom_message","customType":"openclaw.runtime-context","content":"Conversation info (untrusted metadata):\n```json\n{\n \"chat_id\": \"telegram:7229867039\",\n \"message_id\": \"1289\",\n \"sender_id\": \"7229867039\",\n \"sender\": \"Raymond\",\n \"timestamp\": \"Sun 2026-05-03 10:00 PDT\"\n}\n```\n\nSender (untrusted metadata):\n```json\n{\n \"label\": \"Raymond (7229867039)\",\n \"id\": \"7229867039\",\n \"name\": \"Raymond\"\n}\n```","display":false,"details":{"source":"openclaw-runtime-context"},"id":"637c7a4e","parentId":"0a3b05fc","timestamp":"2026-05-03T17:01:27.804Z"} {"type":"message","id":"7c5b6193","parentId":"637c7a4e","timestamp":"2026-05-03T17:01:27.804Z","message":{"role":"assistant","content":[{"type":"text","text":"[assistant turn failed before producing content]"}],"api":"openai-completions","provider":"llamacpp","model":"Qwen3.5-4B-Q8_0.gguf","usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":0,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"error","timestamp":1777827681760,"errorMessage":"400 request (22348 tokens) exceeds the available context size (16384 tokens), try increasing it"}} {"type":"compaction","id":"7930a622","parentId":"7c5b6193","timestamp":"2026-05-03T17:01:27.804Z","summary":"## Goal\n- [none] - No conversation content provided to analyze\n\n## Constraints & Preferences\n- (none)\n\n## Progress\n### Done\n- [ ] No tasks completed - conversation content is empty\n\n### In Progress\n- [ ] No work in progress\n\n### Blocked\n- [ ] Cannot proceed - conversation input is missing\n\n## Key Decisions\n- No decisions made - no conversation context available\n\n## Next Steps\n1. Provide the actual conversation content for summarization\n2. Review the conversation history before generating summary\n\n## Critical Context\n- (none) - No data, examples, or references to preserve","firstKeptEntryId":"9330653c","tokensBefore":5240,"details":{"readFiles":[],"modifiedFiles":[]},"fromHook":false} {"type":"message","id":"5224de51","parentId":"7930a622","timestamp":"2026-05-03T17:01:28.328Z","message":{"role":"user","content":[{"type":"text","text":"Yes I want you to run a full system audit. From our memory integrity if there’s any redundancy also tell me how our memory works what can be improved check why other people are doing better check GitHub. Also look into our file system our hard drives set up how it’s utilized. Check out actual Debian set up."}],"timestamp":1777827688326}} {"type":"custom_message","customType":"openclaw.runtime-context","content":"Conversation info (untrusted metadata):\n```json\n{\n \"chat_id\": \"telegram:7229867039\",\n \"message_id\": \"1289\",\n \"sender_id\": \"7229867039\",\n \"sender\": \"Raymond\",\n \"timestamp\": \"Sun 2026-05-03 10:00 PDT\"\n}\n```\n\nSender (untrusted metadata):\n```json\n{\n \"label\": \"Raymond (7229867039)\",\n \"id\": \"7229867039\",\n \"name\": \"Raymond\"\n}\n```","display":false,"details":{"source":"openclaw-runtime-context"},"id":"9f3acea2","parentId":"5224de51","timestamp":"2026-05-03T17:01:28.328Z"} {"type":"custom","customType":"model-snapshot","data":{"timestamp":1777827770187,"provider":"openai-codex","modelApi":"openai-codex-responses","modelId":"gpt-5.5"},"id":"bdd432f9","parentId":"9f3acea2","timestamp":"2026-05-03T17:02:50.187Z"} {"type":"message","id":"f18e068b","parentId":"bdd432f9","timestamp":"2026-05-03T17:02:50.194Z","message":{"role":"user","content":[{"type":"text","text":"Can you check why when I used my local ai it started doing a compaction loop, also why my mini max 2.6 is not working I got this when I tried to use it ⚠️ Something went wrong while processing your request. Please try again, or use /new to start a fresh session."}],"timestamp":1777827770193}} {"type":"custom_message","customType":"openclaw.runtime-context","content":"System: [2026-05-03 10:01:32 PDT] [Post-compaction context refresh]\nSystem: \nSystem: Session was just compacted. The conversation summary above is a hint, NOT a substitute for your startup sequence. Run your Session Startup sequence - read the required files before responding to the user.\nSystem: \nSystem: Critical rules from AGENTS.md:\nSystem: \nSystem: ## Session Startup\nSystem: \nSystem: Use runtime-provided startup context first.\nSystem: \nSystem: That context may already include:\nSystem: \nSystem: - `AGENTS.md`, `SOUL.md`, and `USER.md`\nSystem: - recent daily memory such as `memory/2026-05-03.md`\nSystem: - `MEMORY.md` when this is the main session\nSystem: \nSystem: Do not manually reread startup files unless:\nSystem: \nSystem: 1. The user explicitly asks\nSystem: 2. The provided context is missing something you need\nSystem: 3. You need a deeper follow-up read beyond the provided startup context\nSystem: \nSystem: ## Red Lines\nSystem: \nSystem: - Don't exfiltrate private data. Ever.\nSystem: - Don't run destructive commands without asking.\nSystem: - `trash` > `rm` (recoverable beats gone forever)\nSystem: - When in doubt, ask.\nSystem: \nSystem: Current time: Sunday, May 3rd, 2026 - 10:01 AM (America/Los_Angeles) / 2026-05-03 17:01 UTC\n\nNote: The previous agent run was aborted by the user. Resume carefully or ask for clarification.\n\nConversation info (untrusted metadata):\n```json\n{\n \"chat_id\": \"telegram:7229867039\",\n \"message_id\": \"1308\",\n \"sender_id\": \"7229867039\",\n \"sender\": \"Raymond\",\n \"timestamp\": \"Sun 2026-05-03 10:02 PDT\"\n}\n```\n\nSender (untrusted metadata):\n```json\n{\n \"label\": \"Raymond (7229867039)\",\n \"id\": \"7229867039\",\n \"name\": \"Raymond\"\n}\n```","display":false,"details":{"source":"openclaw-runtime-context"},"id":"9065c19d","parentId":"f18e068b","timestamp":"2026-05-03T17:02:50.196Z"} {"type":"message","id":"b80b95a0","parentId":"9065c19d","timestamp":"2026-05-03T17:02:54.450Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_04a3faafc36e14ce0169f77fbc1f308190be6116b156f875ff\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp93-9BUqPNRaFDsXNZb_uCUehbo6LT5VfTq90FAAJ0BVgxx9vSZkBr5PlwBvA1oQwhf-AxmWUg3WIN7hCmnnhZ2ZJQmT46vc7JPqZLMtrjW88qR4olJCxWqczStDj6rtlP0KW7WcgQaqgjoZGWEif-4p2myzYLxF8l5g5SucscbIF8zENeJOOYwXjzHgLvO8zMIVqQb2AV86pTw2wt7Zb0i8xENOfU5gcMUj7RLjqA9tj5RcKWoc2V7pKPX7ncfK5qr3ILmn4nfJtr5TNpADK0cAbWZPoGo8TgfI_jW-RmYi9swd1enGM5or661Jr2CUEHH0CPpepc2ZoXisNWSWwONugcfFN6SH8b2Q39p12Rj70a7BDLlpj44b2-pUQdwfYM3E_17XCR1qQv-9-SWt0wsjyWB9Tayp3JmuPGYVhW3-tpSKz3PNWLkaOx_r0L-b8wMhgwS_bs67Rmfyzn5zsH2hq43ygPA9mEWmxzVh30V-02zQFSJKCDuPYNIfLAGbwzwPu78teVaSRTD2hCs1XF7FoX3uVZXfWd8050uNxC2CNg8WkYT0oN9-Te7O1VFmkbGX4qFipqbDYdp8hivSosWWffXFeydnVN-6jh9hD-91p1scyAbn7RrH_VZxkrcyfDB90f3qeGoTE5EompO1BWP-PqQjIn-aDoo8ifj6b__-A6Pliq8rRsB-ItML2xZ26UJkNkXNQAveEyHBZs5T6y9S-xZizKqjGuweX8FLbSCW0Arh0TqUeOwbKu5o6CCdxKXxiKuXPQ5ZpeWs_v97wKcY0sNYWQj1CT2XK8HrP2OxWLC7vv-hKmrKOsiNdwk9Xsy8Z3t6LucgmDQW0SIizAktKry3juClCPqo1rWHkix1ssENKMVt5xo8UirIRJqgXlKtUjL4SkxNpSSyTvZqblD40WDqJggKaG7_a-bC0v8mUdCAnra3LOqqczfxtmW2q1X7TJUJ1Nd6k17e5utlgUCNVp2nergSNnmuK1XETQtSpSgJWFfDG8fK_o2ZZ_We_R1Ey5EATbskCuLy07MjTnRfh0NT8haCXaDxK2_qeLWitCZ1J4VPXHZiFwGl7SocDz4sgvQQ-n4aOI7aZgVVheWUYkEpCNX1uKvkuqF-k-ioBS-EuR4181pnov_O1Ps8tk_7VBQ10VOtNTDuzCt9nJDyaDhylZAFK8fwGw2UL_9N3zNmf7qSL752d4mGFCPhOpQ2ed37w3t9Q5vbbQxODpCR1FQJVm97_JY0w-qYbPF0HnHKRfy18muDC5POE0SmF8hdB9gG4nbVpqqd_n9EDrUUAd7L2X0TcscqFXfaHe-_7BqG2BeuSQ7t1yCBhfrc5_yykWZJgxeBSDbT7_a472n34-7oirfyyVsx5BptENMy2ypk=\",\"summary\":[]}"},{"type":"toolCall","id":"call_uE1j0lTZOiaXg15QBkBira46|fc_04a3faafc36e14ce0169f77fbdae98819084ff45df2316807a","name":"memory_search","arguments":{"query":"local AI compaction loop MiniMax 2.6 OpenClaw config context compaction embeddings provider","maxResults":5,"corpus":"all"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":16256,"output":128,"cacheRead":3584,"cacheWrite":0,"totalTokens":19968,"cost":{"input":0.08128,"output":0.00384,"cacheRead":0.001792,"cacheWrite":0,"total":0.086912}},"stopReason":"toolUse","timestamp":1777827770196,"responseId":"resp_04a3faafc36e14ce0169f77fba88f08190a6e6519f8f805df1"}} {"type":"message","id":"f3e9d8f2","parentId":"b80b95a0","timestamp":"2026-05-03T17:02:54.806Z","message":{"role":"toolResult","toolCallId":"call_uE1j0lTZOiaXg15QBkBira46|fc_04a3faafc36e14ce0169f77fbdae98819084ff45df2316807a","toolName":"memory_search","content":[{"type":"text","text":"{\n \"results\": [\n {\n \"id\": \"26ded3b800ea9fd9985ba95364a15d5ce9d70174c7680f70c4bd5cd8cef68427\",\n \"path\": \"MEMORY.md\",\n \"startLine\": 25,\n \"endLine\": 39,\n \"score\": 1,\n \"textScore\": 0.5932862616613328,\n \"snippet\": \"- Warehouse work: support coaching, productivity, safety, process improvement, accountability, and communication.\\n\\n## Active OpenClaw Context Work\\n\\n- 2026-05-03: Raymond noticed GPT-5/OpenClaw compacting too often and asked for a deep dive.\\n- Config changed: `/home/rurouni/.openclaw/openclaw.json` `agents.defaults.contextTokens` from `28000` to `128000`.\\n- Config changed: `compaction.reserveTokensFloor: 24000`, `compaction.maxActiveTranscriptBytes: 1000000`, `compaction.memoryFlush.softThresholdTokens: 60000`.\\n- Backup for config change: `/home/rurouni/backups/context-memory-20260503-012153`.\\n- Gateway restart after that change completed successfully.\\n- Raymond later saw a context-limit rese\\n\\nSource: MEMORY.md#L25-L39\",\n \"source\": \"memory\",\n \"citation\": \"MEMORY.md#L25-L39\",\n \"corpus\": \"memory\"\n },\n {\n \"id\": \"c6a4fda1f99431f04a8011c837333fa08a2b69bdd90edfe865c18b741abfb7b0\",\n \"path\": \"memory/2026-05-03.md\",\n \"startLine\": 21,\n \"endLine\": 33,\n \"score\": 1,\n \"textScore\": 0.6269541432868807,\n \"snippet\": \"- Deep memory status showed memory files indexed but embeddings unavailable; provider auto-selection found no usable embedding auth/key. Raymond said to leave memory search as-is for now.\\n- Raymond later received a context-limit reset warning recommending `agents.defaults.compaction.reserveTokensFloor >= 20000`; current config already uses `24000`.\\n- Pending: finish online/local-doc research on safe/max OpenClaw context settings for `openai-codex/gpt-5.5` through ChatGPT Plus/auth route before changing context config again.\\n\\n## Memory cleanup\\n\\n- Cleaned duplicate daily-note content and compacted long-term memory.\\n- Added unindexed `memory/README.txt` describing memory layout and hygiene rule\\n\\nSource: memory/2026-05-03.md#L21-L33\",\n \"source\": \"memory\",\n \"citation\": \"memory/2026-05-03.md#L21-L33\",\n \"corpus\": \"memory\"\n },\n {\n \"id\": \"eb15f75dbea57ea18af6268ca2da7e26f71525118f282cab638f28ad5d61c375\",\n \"path\": \"memory/2026-05-03.md\",\n \"startLine\": 1,\n \"endLine\": 22,\n \"score\": 1,\n \"textScore\": 0.5990529615298931,\n \"snippet\": \"# 2026-05-03 Daily Notes\\n\\n## Identity/session setup\\n\\n- Raymond asked “who are you?” during early Telegram setup.\\n- Assistant identity settled as **Ruruni**: calm digital ronin / terminal homie / technical familiar / loyal second brain.\\n- Durable identity and preferences are curated in `/home/rurouni/MEMORY.md`, `/home/rurouni/SOUL.md`, `/home/rurouni/IDENTITY.md`, and `/home/rurouni/USER.md`.\\n\\n## Context/compaction tuning\\n\\n- Raymond reported GPT-5/OpenClaw compacting too often.\\n- Before tuning, the main session showed `contextTokens` at `28000`.\\n- Updated `/home/rurouni/.openclaw/openclaw.json` agent defaults to `contextTokens: 128000`.\\n- Updated compaction settings: `reserveTokensFloor: 240\\n\\nSource: memory/2026-05-03.md#L1-L22\",\n \"source\": \"memory\",\n \"citation\": \"memory/2026-05-03.md#L1-L22\",\n \"corpus\": \"memory\"\n },\n {\n \"id\": \"3b2236f590a349f00fccbca748b3d7b660c340ff356cd20914720bdcb5f81161\",\n \"path\": \"MEMORY.md\",\n \"startLine\": 1,\n \"endLine\": 30,\n \"score\": 0.9070400609869973,\n \"textScore\": 0.27581306712196657,\n \"snippet\": \"# MEMORY.md — Ruruni Long-Term Memory\\n\\nCurated, compact memory for Raymond’s main direct session. Store durable facts, preferences, decisions, and active projects only. Do not store secrets. Raw/dated details belong in `memory/YYYY-MM-DD.md`.\\n\\n## Identity\\n\\n- Assistant name: **Ruruni** 🗡️.\\n- Role: Raymond’s personal AI companion — calm digital ronin, terminal homie, technical familiar, loyal second brain.\\n- Default principle: **Simple. Clean. Safe. Then powerful.**\\n\\n## Raymond\\n\\n- Name: **Raymond**; timezone: America/Los_Angeles / Pacific Time.\\n- Wants replies casual, direct, warm, witty, technically sharp, privacy-protective, and not yappy.\\n- Likes clean copy/paste terminal commands, simple\\n\\nSource: MEMORY.md#L1-L30\",\n \"source\": \"memory\",\n \"citation\": \"MEMORY.md#L1-L30\",\n \"corpus\": \"memory\"\n },\n {\n \"id\": \"53dfcb4ef4ebeea515ccc6a9fdc46f8e60c8545ac983a3ce4d04074d6ac15f90\",\n \"path\": \"MEMORY.md\",\n \"startLine\": 38,\n \"endLine\": 48,\n \"score\": 0.8795428294904022,\n \"textScore\": 0.24770796710508108,\n \"snippet\": \"- Storage layout: `/` + `/home/rurouni` on NVMe root; `/backup` dedicated HDD; `/archive` dedicated HDD; `/models` Samsung SSD; `/data` RAID0 over two Intel SSDs; `/dev/shm/ai-hot` 16G tmpfs.\\n- Raymond intentionally allows LAN-bound OpenClaw behind a tight OPNsense firewall; do not “fix” LAN bind/security warnings without asking.\\n- Pending: finish research on safe/max OpenClaw context settings for `openai-codex/gpt-5.5` via ChatGPT Plus/auth route before more config changes.\\n\\n## Memory Hygiene Rules\\n\\n- Keep `MEMORY.md` short and high-signal; avoid duplicate identity/personality text already in `SOUL.md`, `USER.md`, and `IDENTITY.md`.\\n- Use `memory/YYYY-MM-DD.md` for concise daily logs and de\\n\\nSource: MEMORY.md#L38-L48\",\n \"source\": \"memory\",\n \"citation\": \"MEMORY.md#L38-L48\",\n \"corpus\": \"memory\"\n }\n ],\n \"provider\": \"none\",\n \"citations\": \"auto\",\n \"debug\": {\n \"backend\": \"builtin\",\n \"effectiveMode\": \"n/a\",\n \"searchMs\": 301,\n \"hits\": 5\n }\n}"}],"details":{"results":[{"id":"26ded3b800ea9fd9985ba95364a15d5ce9d70174c7680f70c4bd5cd8cef68427","path":"MEMORY.md","startLine":25,"endLine":39,"score":1,"textScore":0.5932862616613328,"snippet":"- Warehouse work: support coaching, productivity, safety, process improvement, accountability, and communication.\n\n## Active OpenClaw Context Work\n\n- 2026-05-03: Raymond noticed GPT-5/OpenClaw compacting too often and asked for a deep dive.\n- Config changed: `/home/rurouni/.openclaw/openclaw.json` `agents.defaults.contextTokens` from `28000` to `128000`.\n- Config changed: `compaction.reserveTokensFloor: 24000`, `compaction.maxActiveTranscriptBytes: 1000000`, `compaction.memoryFlush.softThresholdTokens: 60000`.\n- Backup for config change: `/home/rurouni/backups/context-memory-20260503-012153`.\n- Gateway restart after that change completed successfully.\n- Raymond later saw a context-limit rese\n\nSource: MEMORY.md#L25-L39","source":"memory","citation":"MEMORY.md#L25-L39","corpus":"memory"},{"id":"c6a4fda1f99431f04a8011c837333fa08a2b69bdd90edfe865c18b741abfb7b0","path":"memory/2026-05-03.md","startLine":21,"endLine":33,"score":1,"textScore":0.6269541432868807,"snippet":"- Deep memory status showed memory files indexed but embeddings unavailable; provider auto-selection found no usable embedding auth/key. Raymond said to leave memory search as-is for now.\n- Raymond later received a context-limit reset warning recommending `agents.defaults.compaction.reserveTokensFloor >= 20000`; current config already uses `24000`.\n- Pending: finish online/local-doc research on safe/max OpenClaw context settings for `openai-codex/gpt-5.5` through ChatGPT Plus/auth route before changing context config again.\n\n## Memory cleanup\n\n- Cleaned duplicate daily-note content and compacted long-term memory.\n- Added unindexed `memory/README.txt` describing memory layout and hygiene rule\n\nSource: memory/2026-05-03.md#L21-L33","source":"memory","citation":"memory/2026-05-03.md#L21-L33","corpus":"memory"},{"id":"eb15f75dbea57ea18af6268ca2da7e26f71525118f282cab638f28ad5d61c375","path":"memory/2026-05-03.md","startLine":1,"endLine":22,"score":1,"textScore":0.5990529615298931,"snippet":"# 2026-05-03 Daily Notes\n\n## Identity/session setup\n\n- Raymond asked “who are you?” during early Telegram setup.\n- Assistant identity settled as **Ruruni**: calm digital ronin / terminal homie / technical familiar / loyal second brain.\n- Durable identity and preferences are curated in `/home/rurouni/MEMORY.md`, `/home/rurouni/SOUL.md`, `/home/rurouni/IDENTITY.md`, and `/home/rurouni/USER.md`.\n\n## Context/compaction tuning\n\n- Raymond reported GPT-5/OpenClaw compacting too often.\n- Before tuning, the main session showed `contextTokens` at `28000`.\n- Updated `/home/rurouni/.openclaw/openclaw.json` agent defaults to `contextTokens: 128000`.\n- Updated compaction settings: `reserveTokensFloor: 240\n\nSource: memory/2026-05-03.md#L1-L22","source":"memory","citation":"memory/2026-05-03.md#L1-L22","corpus":"memory"},{"id":"3b2236f590a349f00fccbca748b3d7b660c340ff356cd20914720bdcb5f81161","path":"MEMORY.md","startLine":1,"endLine":30,"score":0.9070400609869973,"textScore":0.27581306712196657,"snippet":"# MEMORY.md — Ruruni Long-Term Memory\n\nCurated, compact memory for Raymond’s main direct session. Store durable facts, preferences, decisions, and active projects only. Do not store secrets. Raw/dated details belong in `memory/YYYY-MM-DD.md`.\n\n## Identity\n\n- Assistant name: **Ruruni** 🗡️.\n- Role: Raymond’s personal AI companion — calm digital ronin, terminal homie, technical familiar, loyal second brain.\n- Default principle: **Simple. Clean. Safe. Then powerful.**\n\n## Raymond\n\n- Name: **Raymond**; timezone: America/Los_Angeles / Pacific Time.\n- Wants replies casual, direct, warm, witty, technically sharp, privacy-protective, and not yappy.\n- Likes clean copy/paste terminal commands, simple\n\nSource: MEMORY.md#L1-L30","source":"memory","citation":"MEMORY.md#L1-L30","corpus":"memory"},{"id":"53dfcb4ef4ebeea515ccc6a9fdc46f8e60c8545ac983a3ce4d04074d6ac15f90","path":"MEMORY.md","startLine":38,"endLine":48,"score":0.8795428294904022,"textScore":0.24770796710508108,"snippet":"- Storage layout: `/` + `/home/rurouni` on NVMe root; `/backup` dedicated HDD; `/archive` dedicated HDD; `/models` Samsung SSD; `/data` RAID0 over two Intel SSDs; `/dev/shm/ai-hot` 16G tmpfs.\n- Raymond intentionally allows LAN-bound OpenClaw behind a tight OPNsense firewall; do not “fix” LAN bind/security warnings without asking.\n- Pending: finish research on safe/max OpenClaw context settings for `openai-codex/gpt-5.5` via ChatGPT Plus/auth route before more config changes.\n\n## Memory Hygiene Rules\n\n- Keep `MEMORY.md` short and high-signal; avoid duplicate identity/personality text already in `SOUL.md`, `USER.md`, and `IDENTITY.md`.\n- Use `memory/YYYY-MM-DD.md` for concise daily logs and de\n\nSource: MEMORY.md#L38-L48","source":"memory","citation":"MEMORY.md#L38-L48","corpus":"memory"}],"provider":"none","citations":"auto","debug":{"backend":"builtin","effectiveMode":"n/a","searchMs":301,"hits":5}},"isError":false,"timestamp":1777827774806}} {"type":"message","id":"ed9b18a6","parentId":"f3e9d8f2","timestamp":"2026-05-03T17:02:58.251Z","message":{"role":"assistant","content":[{"type":"text","text":"Bet — I’ll check the actual failure path instead of guessing. The compaction loop + MiniMax failure are probably connected to model context/config/provider routing, but logs will tell us.","textSignature":"{\"v\":1,\"id\":\"msg_04a3faafc36e14ce0169f77fc01bf48190af1ccd02dcbe27c3\",\"phase\":\"commentary\"}"},{"type":"toolCall","id":"call_4SbC5CULb43lQt7wGtBzX4aN|fc_04a3faafc36e14ce0169f77fc1301c81908349a8e2a478afa4","name":"update_plan","arguments":{"plan":[{"step":"Inspect OpenClaw config/models","status":"in_progress"},{"step":"Check recent gateway/session logs","status":"pending"},{"step":"Verify local model context settings","status":"pending"},{"step":"Verify MiniMax route/auth/model alias","status":"pending"},{"step":"Report root cause and 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{"type":"message","id":"e75c29e9","parentId":"2e8e89c0","timestamp":"2026-05-03T17:03:06.296Z","message":{"role":"toolResult","toolCallId":"call_UJgWMnvnqUnaQC11aRnFFVe6|fc_04a3faafc36e14ce0169f77fc64b748190a5ebf39e9a5c0638","toolName":"exec","content":[{"type":"text","text":"/home/rurouni/.openclaw/credentials/https-pairing.json\n/home/rurouni/.openclaw/credentials/telegram-default-allowFrom.json\n/home/rurouni/.openclaw/credentials/telegram-pairing.json\n/home/rurouni/.openclaw/credentials/web-pairing.json\n/home/rurouni/.openclaw/devices/paired.json\n/home/rurouni/.openclaw/devices/pending.json\n/home/rurouni/.openclaw/exec-approvals.json\n/home/rurouni/.openclaw/identity/device-auth.json\n/home/rurouni/.openclaw/identity/device.json\n/home/rurouni/.openclaw/logs/commands.log\n/home/rurouni/.openclaw/logs/config-health.json\n/home/rurouni/.openclaw/openclaw.json\n/home/rurouni/.openclaw/plugins/installs.json\n/home/rurouni/.openclaw/telegram/update-offset-default.json\n/home/rurouni/.openclaw/tui/last-session.json\n/home/rurouni/.openclaw/update-check.json\n/home/rurouni/.openclaw/workspace-state.json"}],"details":{"status":"completed","exitCode":0,"durationMs":32,"aggregated":"/home/rurouni/.openclaw/credentials/https-pairing.json\n/home/rurouni/.openclaw/credentials/telegram-default-allowFrom.json\n/home/rurouni/.openclaw/credentials/telegram-pairing.json\n/home/rurouni/.openclaw/credentials/web-pairing.json\n/home/rurouni/.openclaw/devices/paired.json\n/home/rurouni/.openclaw/devices/pending.json\n/home/rurouni/.openclaw/exec-approvals.json\n/home/rurouni/.openclaw/identity/device-auth.json\n/home/rurouni/.openclaw/identity/device.json\n/home/rurouni/.openclaw/logs/commands.log\n/home/rurouni/.openclaw/logs/config-health.json\n/home/rurouni/.openclaw/openclaw.json\n/home/rurouni/.openclaw/plugins/installs.json\n/home/rurouni/.openclaw/telegram/update-offset-default.json\n/home/rurouni/.openclaw/tui/last-session.json\n/home/rurouni/.openclaw/update-check.json\n/home/rurouni/.openclaw/workspace-state.json","cwd":"/home/rurouni"},"isError":false,"timestamp":1777827786296}} {"type":"message","id":"38fc04a1","parentId":"e75c29e9","timestamp":"2026-05-03T17:03:06.297Z","message":{"role":"toolResult","toolCallId":"call_Fn86kfbrYhVdQ8dassYv1Jrf|fc_04a3faafc36e14ce0169f77fc64b8481909b82cc9aadcfe910","toolName":"exec","content":[{"type":"text","text":"OpenClaw status\n\nOverview\n┌──────────────────────┬───────────────────────────────────────────────────────────────────────────────────────────────┐\n│ Item │ Value │\n├──────────────────────┼───────────────────────────────────────────────────────────────────────────────────────────────┤\n│ OS │ linux 6.12.85+deb13-amd64 (x64) · node 24.15.0 │\n│ Dashboard │ http://192.168.1.50:18789/ │\n│ Tailscale exposure │ off │\n│ Channel │ stable (default) │\n│ Update │ pnpm · up to date · npm latest 2026.5.2 │\n│ Gateway │ local · ws://127.0.0.1:18789 (local loopback) · reachable 65ms · auth token · debian-ai (192. │\n│ │ 168.1.50) app 2026.5.2 linux 6.12.85+deb13-amd64 │\n│ Gateway self │ debian-ai (192.168.1.50) app 2026.5.2 linux 6.12.85+deb13-amd64 │\n│ Gateway service │ systemd installed · enabled · running (pid 45266, state active) │\n│ Node service │ systemd not installed │\n│ Agents │ 1 · no bootstrap files · sessions 3 · default main active just now │\n│ Memory │ enabled (plugin memory-core) · not checked │\n│ Plugin compatibility │ none │\n│ Probes │ skipped (use --deep) │\n│ Events │ none │\n│ Tasks │ none │\n│ Heartbeat │ 30m (main) │\n│ Sessions │ 3 active · default gpt-5.5 (128k ctx) · ~/.openclaw/agents/main/sessions/sessions.json │\n└──────────────────────┴───────────────────────────────────────────────────────────────────────────────────────────────┘\n\nSecurity audit\nSkipped in fast status. Full report: openclaw security audit\nDeep probe: openclaw status --deep\n\nChannels\n┌──────────┬─────────┬────────┬────────────────────────────────────────────────────────────────────────────────────────┐\n│ Channel │ Enabled │ State │ Detail │\n├──────────┼─────────┼────────┼────────────────────────────────────────────────────────────────────────────────────────┤\n│ Telegram │ ON │ OK │ token config (8796…S0Zs · len 46) · accounts 1/1 │\n└──────────┴─────────┴────────┴────────────────────────────────────────────────────────────────────────────────────────┘\n\nSessions\n┌──────────────────────────────────────────────────┬────────┬──────────┬──────────────┬────────────────────────────────┐\n│ Key │ Kind │ Age │ Model │ Tokens │\n├──────────────────────────────────────────────────┼────────┼──────────┼──────────────┼────────────────────────────────┤\n│ agent:main:telegram:direct:7229… │ direct │ just now │ gpt-5.5 │ unknown/128k (?%) │\n│ agent:main:main:heartbeat │ direct │ 26m ago │ gpt-5.5 │ 8.9k/128k (7%) · 🗄️ 40% cached │\n│ agent:main:main │ direct │ 9h ago │ gpt-5.5 │ 22k/28k (78%) · 🗄️ 64% cached │\n└──────────────────────────────────────────────────┴────────┴──────────┴──────────────┴────────────────────────────────┘\n\nFAQ: https://docs.openclaw.ai/faq\nTroubleshooting: https://docs.openclaw.ai/troubleshooting\nNext steps:\n Need to share? openclaw status --all\n Need to debug live? openclaw logs --follow\n Need to test channels? openclaw status --deep"}],"details":{"status":"completed","exitCode":0,"durationMs":3836,"aggregated":"OpenClaw status\n\nOverview\n┌──────────────────────┬───────────────────────────────────────────────────────────────────────────────────────────────┐\n│ Item │ Value │\n├──────────────────────┼───────────────────────────────────────────────────────────────────────────────────────────────┤\n│ OS │ linux 6.12.85+deb13-amd64 (x64) · node 24.15.0 │\n│ Dashboard │ http://192.168.1.50:18789/ │\n│ Tailscale exposure │ off │\n│ Channel │ stable (default) │\n│ Update │ pnpm · up to date · npm latest 2026.5.2 │\n│ Gateway │ local · ws://127.0.0.1:18789 (local loopback) · reachable 65ms · auth token · debian-ai (192. │\n│ │ 168.1.50) app 2026.5.2 linux 6.12.85+deb13-amd64 │\n│ Gateway self │ debian-ai (192.168.1.50) app 2026.5.2 linux 6.12.85+deb13-amd64 │\n│ Gateway service │ systemd installed · enabled · running (pid 45266, state active) │\n│ Node service │ systemd not installed │\n│ Agents │ 1 · no bootstrap files · sessions 3 · default main active just now │\n│ Memory │ enabled (plugin memory-core) · not checked │\n│ Plugin compatibility │ none │\n│ Probes │ skipped (use --deep) │\n│ Events │ none │\n│ Tasks │ none │\n│ Heartbeat │ 30m (main) │\n│ Sessions │ 3 active · default gpt-5.5 (128k ctx) · ~/.openclaw/agents/main/sessions/sessions.json │\n└──────────────────────┴───────────────────────────────────────────────────────────────────────────────────────────────┘\n\nSecurity audit\nSkipped in fast status. Full report: openclaw security audit\nDeep probe: openclaw status --deep\n\nChannels\n┌──────────┬─────────┬────────┬────────────────────────────────────────────────────────────────────────────────────────┐\n│ Channel │ Enabled │ State │ Detail │\n├──────────┼─────────┼────────┼────────────────────────────────────────────────────────────────────────────────────────┤\n│ Telegram │ ON │ OK │ token config (8796…S0Zs · len 46) · accounts 1/1 │\n└──────────┴─────────┴────────┴────────────────────────────────────────────────────────────────────────────────────────┘\n\nSessions\n┌──────────────────────────────────────────────────┬────────┬──────────┬──────────────┬────────────────────────────────┐\n│ Key │ Kind │ Age │ Model │ Tokens │\n├──────────────────────────────────────────────────┼────────┼──────────┼──────────────┼────────────────────────────────┤\n│ agent:main:telegram:direct:7229… │ direct │ just now │ gpt-5.5 │ unknown/128k (?%) │\n│ agent:main:main:heartbeat │ direct │ 26m ago │ gpt-5.5 │ 8.9k/128k (7%) · 🗄️ 40% cached │\n│ agent:main:main │ direct │ 9h ago │ gpt-5.5 │ 22k/28k (78%) · 🗄️ 64% cached │\n└──────────────────────────────────────────────────┴────────┴──────────┴──────────────┴────────────────────────────────┘\n\nFAQ: https://docs.openclaw.ai/faq\nTroubleshooting: https://docs.openclaw.ai/troubleshooting\nNext steps:\n Need to share? openclaw status --all\n Need to debug live? openclaw logs --follow\n Need to test channels? openclaw status --deep","cwd":"/home/rurouni"},"isError":false,"timestamp":1777827786296}} {"type":"message","id":"8fd3f97b","parentId":"38fc04a1","timestamp":"2026-05-03T17:03:06.298Z","message":{"role":"toolResult","toolCallId":"call_Yu5ZQD4xALRulLQWVu01MiJ2|fc_04a3faafc36e14ce0169f77fc64b888190977a5c3eebf50c54","toolName":"exec","content":[{"type":"text","text":"● openclaw-gateway.service - OpenClaw Gateway (v2026.5.2)\n Loaded: loaded (/home/rurouni/.config/systemd/user/openclaw-gateway.service; enabled; preset: enabled)\n Active: active (running) since Sun 2026-05-03 02:10:05 PDT; 7h ago\n Invocation: 2dbb54e1612c4f90b69915335a0cd922\n Main PID: 45266 (MainThread)\n Tasks: 19 (limit: 76718)\n Memory: 552.5M (peak: 2.1G)\n CPU: 9min 16.578s\n CGroup: /user.slice/user-1000.slice/user@1000.service/app.slice/openclaw-gateway.service\n ├─45266 /usr/bin/node /usr/lib/node_modules/openclaw/dist/index.js gateway --port 18789\n ├─45965 node /usr/bin/openclaw status\n ├─45966 /bin/bash --noprofile --norc -c \"systemctl --user status openclaw-gateway --no-pager 2>&1 || systemctl status openclaw-gateway --no-pager 2>&1 || true\"\n └─45967 systemctl --user status openclaw-gateway --no-pager\n\nMay 03 10:01:28 debian-ai node[45266]: 2026-05-03T10:01:28.800-07:00 [telegram] sendMessage ok chat=7229867039 message=1302\nMay 03 10:01:29 debian-ai node[45266]: 2026-05-03T10:01:29.914-07:00 [telegram] sendMessage ok chat=7229867039 message=1303\nMay 03 10:01:31 debian-ai node[45266]: 2026-05-03T10:01:31.889-07:00 [agent/embedded] embedded run failover decision: runId=808085c5-42b4-4313-ad9c-186ee0e814e8 stage=assistant decision=surface_error reason=none from=llamacpp/Qwen3.5-4B-Q8_0.gguf profile=- rawError=400 request (22348 tokens) exceeds the available context size (16384 tokens), try increasing it\nMay 03 10:01:33 debian-ai node[45266]: 2026-05-03T10:01:33.879-07:00 [telegram] sendMessage ok chat=7229867039 message=1305\nMay 03 10:01:40 debian-ai node[45266]: 2026-05-03T10:01:40.958-07:00 [telegram] sendMessage ok chat=7229867039 message=1307\nMay 03 10:02:54 debian-ai node[45266]: 2026-05-03T10:02:54.760-07:00 [ws] ⇄ res ✓ sessions.list 70ms conn=08f84a1c…66a1 id=fb60843d…7a25\nMay 03 10:02:58 debian-ai node[45266]: 2026-05-03T10:02:58.617-07:00 [telegram] sendMessage ok chat=7229867039 message=1309\nMay 03 10:03:02 debian-ai node[45266]: 2026-05-03T10:03:02.444-07:00 [exec] elevated command find /home/rurouni/.openclaw -maxdepth 3 -type f \\( -name ...o -name '*.yml' \\) -printf '%p\\n' | sort | sed -n '1,200p'\nMay 03 10:03:02 debian-ai node[45266]: 2026-05-03T10:03:02.450-07:00 [exec] elevated command openclaw status\nMay 03 10:03:02 debian-ai node[45266]: 2026-05-03T10:03:02.456-07:00 [exec] elevated command systemctl --user status openclaw-gateway --no-pager 2>&1 || systemctl status openclaw-gateway --no-pager 2>&1 || true"}],"details":{"status":"completed","exitCode":0,"durationMs":44,"aggregated":"● openclaw-gateway.service - OpenClaw Gateway (v2026.5.2)\n Loaded: loaded (/home/rurouni/.config/systemd/user/openclaw-gateway.service; enabled; preset: enabled)\n Active: active (running) since Sun 2026-05-03 02:10:05 PDT; 7h ago\n Invocation: 2dbb54e1612c4f90b69915335a0cd922\n Main PID: 45266 (MainThread)\n Tasks: 19 (limit: 76718)\n Memory: 552.5M (peak: 2.1G)\n CPU: 9min 16.578s\n CGroup: /user.slice/user-1000.slice/user@1000.service/app.slice/openclaw-gateway.service\n ├─45266 /usr/bin/node /usr/lib/node_modules/openclaw/dist/index.js gateway --port 18789\n ├─45965 node /usr/bin/openclaw status\n ├─45966 /bin/bash --noprofile --norc -c \"systemctl --user status openclaw-gateway --no-pager 2>&1 || systemctl status openclaw-gateway --no-pager 2>&1 || true\"\n └─45967 systemctl --user status openclaw-gateway --no-pager\n\nMay 03 10:01:28 debian-ai node[45266]: 2026-05-03T10:01:28.800-07:00 [telegram] sendMessage ok chat=7229867039 message=1302\nMay 03 10:01:29 debian-ai node[45266]: 2026-05-03T10:01:29.914-07:00 [telegram] sendMessage ok chat=7229867039 message=1303\nMay 03 10:01:31 debian-ai node[45266]: 2026-05-03T10:01:31.889-07:00 [agent/embedded] embedded run failover decision: runId=808085c5-42b4-4313-ad9c-186ee0e814e8 stage=assistant decision=surface_error reason=none from=llamacpp/Qwen3.5-4B-Q8_0.gguf profile=- rawError=400 request (22348 tokens) exceeds the available context size (16384 tokens), try increasing it\nMay 03 10:01:33 debian-ai node[45266]: 2026-05-03T10:01:33.879-07:00 [telegram] sendMessage ok chat=7229867039 message=1305\nMay 03 10:01:40 debian-ai node[45266]: 2026-05-03T10:01:40.958-07:00 [telegram] sendMessage ok chat=7229867039 message=1307\nMay 03 10:02:54 debian-ai node[45266]: 2026-05-03T10:02:54.760-07:00 [ws] ⇄ res ✓ sessions.list 70ms conn=08f84a1c…66a1 id=fb60843d…7a25\nMay 03 10:02:58 debian-ai node[45266]: 2026-05-03T10:02:58.617-07:00 [telegram] sendMessage ok chat=7229867039 message=1309\nMay 03 10:03:02 debian-ai node[45266]: 2026-05-03T10:03:02.444-07:00 [exec] elevated command find /home/rurouni/.openclaw -maxdepth 3 -type f \\( -name ...o -name '*.yml' \\) -printf '%p\\n' | sort | sed -n '1,200p'\nMay 03 10:03:02 debian-ai node[45266]: 2026-05-03T10:03:02.450-07:00 [exec] elevated command openclaw status\nMay 03 10:03:02 debian-ai node[45266]: 2026-05-03T10:03:02.456-07:00 [exec] elevated command systemctl --user status openclaw-gateway --no-pager 2>&1 || systemctl status openclaw-gateway --no-pager 2>&1 || true","cwd":"/home/rurouni"},"isError":false,"timestamp":1777827786297}} {"type":"message","id":"0cf36b21","parentId":"8fd3f97b","timestamp":"2026-05-03T17:03:06.300Z","message":{"role":"toolResult","toolCallId":"call_79o4g6ApvZobVuAkb7NRxlWu|fc_04a3faafc36e14ce0169f77fc64b90819085fb473ea3939d5f","toolName":"read","content":[{"type":"text","text":"{\n \"env\": {\n \"OPENROUTER_API_KEY\": \"sk-or-…2479\"\n },\n \"agents\": {\n \"defaults\": {\n \"workspace\": \"/home/rurouni\",\n \"model\": {\n \"primary\": \"openai-codex/gpt-5.5\",\n \"fallbacks\": [\n \"openrouter/minimax/minimax-m2.7\"\n ]\n },\n \"models\": {\n \"llamacpp/Qwen3.5-4B-Q8_0.gguf\": {\n \"alias\": \"local\",\n \"params\": {\n \"temperature\": 0.6,\n \"top_p\": 0.95,\n \"top_k\": 20\n }\n },\n \"openrouter/minimax/minimax-m2.7\": {\n \"alias\": \"MiniMax\"\n },\n \"openai-codex/gpt-5.5\": {}\n },\n \"contextTokens\": 128000,\n \"compaction\": {\n \"reserveTokensFloor\": 24000,\n \"truncateAfterCompaction\": true,\n \"maxActiveTranscriptBytes\": 1000000,\n \"notifyUser\": true,\n \"memoryFlush\": {\n \"enabled\": true,\n \"softThresholdTokens\": 60000\n }\n },\n \"contextInjection\": \"continuation-skip\",\n \"experimental\": {\n \"localModelLean\": true\n },\n \"thinkingDefault\": \"off\",\n \"verboseDefault\": \"off\",\n \"blockStreamingDefault\": \"on\",\n \"heartbeat\": {\n \"every\": \"30m\",\n \"isolatedSession\": true,\n \"lightContext\": true,\n \"activeHours\": {\n \"start\": \"07:00\",\n \"end\": \"23:00\"\n }\n }\n }\n },\n \"gateway\": {\n \"mode\": \"local\",\n \"auth\": {\n \"mode\": \"token\",\n \"token\": \"yS_kWJ…BsqA\"\n },\n \"port\": 18789,\n \"bind\": \"lan\",\n \"tailscale\": {\n \"mode\": \"off\",\n \"resetOnExit\": false\n },\n \"controlUi\": {\n \"allowInsecureAuth\": false,\n \"allowedOrigins\": [\n \"http://localhost:18789\",\n \"http://127.0.0.1:18789\",\n \"https://192.168.1.50:18788\"\n ]\n },\n \"nodes\": {\n \"denyCommands\": [\n \"camera.snap\",\n \"camera.clip\",\n \"screen.record\",\n \"contacts.add\",\n \"calendar.add\",\n \"reminders.add\",\n \"sms.send\",\n \"sms.search\"\n ]\n },\n \"remote\": {\n \"token\": \"yS_kWJ…BsqA\"\n }\n },\n \"session\": {\n \"dmScope\": \"per-channel-peer\",\n \"maintenance\": {\n \"mode\": \"enforce\",\n \"pruneAfter\": \"30d\",\n \"maxEntries\": 500,\n \"maxDiskBytes\": 50000000,\n \"highWaterBytes\": 40000000\n }\n },\n \"tools\": {\n \"profile\": \"coding\",\n \"web\": {\n \"search\": {\n \"provider\": \"duckduckgo\",\n \"enabled\": true,\n \"timeoutSeconds\": 8,\n \"cacheTtlMinutes\": 30,\n \"maxResults\": 5\n }\n },\n \"loopDetection\": {\n \"enabled\": true,\n \"historySize\": 20,\n \"warningThreshold\": 5\n },\n \"elevated\": {\n \"enabled\": true,\n \"allowFrom\": {\n \"telegram\": [\n \"7229867039\"\n ]\n }\n }\n },\n \"models\": {\n \"mode\": \"merge\",\n \"providers\": {\n \"llamacpp\": {\n \"baseUrl\": \"http://127.0.0.1:8081/v1\",\n \"api\": \"openai-completions\",\n \"apiKey\": \"***\",\n \"models\": [\n {\n \"id\": \"Qwen3.5-4B-Q8_0.gguf\",\n \"name\": \"Qwen3.5 4B Q8 (llama.cpp)\",\n \"reasoning\": false,\n \"input\": [\n \"text\"\n ],\n \"cost\": {\n \"input\": 0,\n \"output\": 0,\n \"cacheRead\": 0,\n \"cacheWrite\": 0\n },\n \"contextWindow\": 32768,\n \"maxTokens\": 8192\n }\n ]\n }\n }\n },\n \"plugins\": {\n \"entries\": {\n \"telegram\": {\n \"enabled\": true\n },\n \"openrouter\": {\n \"enabled\": true\n },\n \"duckduckgo\": {\n \"enabled\": true\n },\n \"bonjour\": {\n \"enabled\": false\n },\n \"browser\": {\n \"enabled\": true\n },\n \"device-pair\": {\n \"enabled\": false\n },\n \"phone-control\": {\n \"enabled\": false\n },\n \"talk-voice\": {\n \"enabled\": false\n },\n \"file-transfer\": {\n \"enabled\": false\n },\n \"openai\": {\n \"enabled\": true\n }\n }\n },\n \"channels\": {\n \"telegram\": {\n \"enabled\": true,\n \"botToken\": \"879634…S0Zs\",\n \"dmPolicy\": \"allowlist\",\n \"allowFrom\": [\n \"7229867039\"\n ],\n \"groups\": {\n \"*\": {\n \"requireMention\": true\n }\n }\n }\n },\n \"skills\": {\n \"install\": {\n \"nodeManager\": \"npm\"\n },\n \"entries\": {\n \"agentmail\": {\n \"enabled\": true,\n \"env\": {\n \"AGENTMAIL_API_KEY\": \"am_us_93866e14e6cf5ba1a8b57673790b0e3e938f50743149ec17a6d7235237fb3014\"\n }\n },\n \"1password\": {\n \"enabled\": false\n },\n \"apple-notes\": {\n \"enabled\": false\n },\n \"apple-reminders\": {\n \"enabled\": false\n },\n \"bear-notes\": {\n \"enabled\": false\n },\n \"blogwatcher\": {\n \"enabled\": false\n },\n \"blucli\": {\n \"enabled\": false\n },\n \"bluebubbles\": {\n \"enabled\": false\n },\n \"camsnap\": {\n \"enabled\": false\n },\n \"clawhub\": {\n \"enabled\": false\n },\n \"coding-agent\": {\n \"enabled\": false\n },\n \"discord\": {\n \"enabled\": false\n },\n \"eightctl\": {\n \"enabled\": false\n },\n \"gemini\": {\n \"enabled\": false\n },\n \"gh-issues\": {\n \"enabled\": true\n },\n \"gifgrep\": {\n \"enabled\": false\n },\n \"github\": {\n \"enabled\": true\n },\n \"gog\": {\n \"enabled\": false\n },\n \"goplaces\": {\n \"enabled\": false\n },\n \"himalaya\": {\n \"enabled\": false\n },\n \"imsg\": {\n \"enabled\": false\n },\n \"mcporter\": {\n \"enabled\": false\n },\n \"model-usage\": {\n \"enabled\": false\n },\n \"nano-pdf\": {\n \"enabled\": false\n },\n \"notion\": {\n \"enabled\": false\n },\n \"obsidian\": {\n \"enabled\": false\n },\n \"openai-whisper\": {\n \"enabled\": false\n },\n \"openai-whisper-api\": {\n \"enabled\": false\n },\n \"openhue\": {\n \"enabled\": false\n },\n \"oracle\": {\n \"enabled\": false\n },\n \"ordercli\": {\n \"enabled\": false\n },\n \"peekaboo\": {\n \"enabled\": false\n },\n \"sag\": {\n \"enabled\": false\n },\n \"session-logs\": {\n \"enabled\": true\n },\n \"sherpa-onnx-tts\": {\n \"enabled\": false\n },\n \"slack\": {\n \"enabled\": false\n },\n \"songsee\": {\n \"enabled\": false\n },\n \"sonoscli\": {\n \"enabled\": false\n },\n \"spotify-player\": {\n \"enabled\": false\n },\n \"summarize\": {\n \"enabled\": false\n },\n \"things-mac\": {\n \"enabled\": false\n },\n \"tmux\": {\n \"enabled\": true\n },\n \"trello\": {\n \"enabled\": false\n },\n \"video-frames\": {\n \"enabled\": false\n },\n \"voice-call\": {\n \"enabled\": false\n },\n \"wacli\": {\n \"enabled\": false\n },\n \"xurl\": {\n \"enabled\": false\n }\n }\n },\n \"hooks\": {\n \"internal\": {\n \"enabled\": true,\n \"entries\": {\n \"session-memory\": {\n \"enabled\": true\n },\n \"command-logger\": {\n \"enabled\": true\n }\n }\n }\n },\n \"commands\": {\n \"ownerAllowFrom\": [\n \"telegram:7229867039\"\n ]\n },\n \"messages\": {\n \"groupChat\": {\n \"visibleReplies\": \"automatic\"\n }\n },\n \"auth\": {\n \"profiles\": {\n \"openrouter:default\": {\n \"provider\": \"openrouter\",\n \"mode\": \"api_key\"\n },\n \"llamacpp:default\": {\n \"provider\": \"llamacpp\",\n \"mode\": \"api_key\"\n },\n \"openai-codex:tw24fr@gmail.com\": {\n \"provider\": \"openai-codex\",\n \"mode\": \"oauth\",\n \"email\": \"tw24fr@gmail.com\"\n }\n }\n },\n \"wizard\": {\n \"lastRunAt\": \"2026-05-03T05:11:39.132Z\",\n \"lastRunVersion\": \"2026.5.2\",\n \"lastRunCommand\": \"onboard\",\n \"lastRunMode\": \"local\"\n },\n \"meta\": {\n \"lastTouchedVersion\": \"2026.5.2\",\n \"lastTouchedAt\": \"2026-05-03T07:35:53.276Z\"\n },\n \"diagnostics\": {}\n}"}],"isError":false,"timestamp":1777827786297}} {"type":"message","id":"04f6f5ab","parentId":"0cf36b21","timestamp":"2026-05-03T17:03:16.131Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_04a3faafc36e14ce0169f77fcce3e48190ac8cb94942be0f4a\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp93_TKU2Gb3DaEjSakplXyclsZ4SC18Oepfuz-A0rw8fvC8eVmEl87KJfoJmRYLoBq0q2pBX1dME_tdj4pUeVsk9NUH6je68Nua5afMqGRr-xswVLQwMMGeH1BW8UvHDibcU-6ZvXyqJzZ-Ay27BhORkBrSCMQrIJxXLY9j6chpA9ByDU-1_nAa7APXrvWvNwBwox8eSVylzqDPjCMd094kgh-aHIQnhRUErZBPb7llN3a_rrNhcRKIk83r1eadwr6aNUkGGd7DfMe3TI3qoTI9RYZskmSizkvddKZx7WFqm3rNRga43_4ogxyb4sCXxyYNLbg2BigTV9A21pgShSgtx_tA4g4UB8sVyYUewo_WIW4KK3J4bueQ_7Ree3eVWYNG8BmZxcV__AwudbxqXnZk7uO6YHDOl-iTT11emuz7NZAyekaLe1pc3K8Rq7lUB-91oaxDf5CjGMyoMoSpZSd1FlnA71wgtKI1jQUV7dn3D4bVFuZTG8jDxcT0MVd2F5b7xaJGYGW4_6EeTV-5qsG15pJpBGQHqW6sGVucd_TaNCQuUN1sF2gF2xjFMfwN9ZlPI-LruBoWAys1ShbMIpgzYJ58Zka8JeCckHY4PHimnmka38UWy0kNUt7GTAzrBDdJkSWtV-IxBJwpz6NuZ-aycltQa-OfYVCKm8ATbjzMviWWlFwGo8IdmgV5U8WIozlikHuJJZzWaHd7qzBjN8GtWKeedsRoo3FUcXhXU-3FoDuAWaC7UqRp6OZyY3sK2M2s78MRztR8pKnPLI6Yj6Ht2BK624mtYMgXLW7e5_Lo-uVWAmLxpRFLposE6qkTGt18yOoEv4ioFvz8CSydR5Let3VZYiIvv6b9D_lpZG2Qc3QkSUFAKK_oQjo5Q-mRujIbNaok8_D0Wbx7zTOKJ68MVoJSI9mhQXBADb1B7ZvMP_Hi7m5j_ZOY2iO11ofr8InbofXZxhpdw-Pz3_Jd4xjqfxqUdFaDOTcKMsk3kokfWQN_47lDCyObv5jAgB7ZTCakx5tCAVYFSPwJQMLKmSYrhULJWUczP39lBYyhgrCu8zsPQIq5JNypXqwAGQqGgyV8CCLmV2axfZ2cXfutubgfNRcKgkP10Si-NqGuQt0_UlMV31i-uHWMFx6rv1npM84_TvuaBeJEfy4nrJznyNpmuLB4uYt2Kqkn36OMXpoPiP28SJ3Pr-fdLyCuTnGomEHgPQodbcJkWLSN4eOyotkMs77AIL1ugX3T9K5fjjr1ciSKllJN_YNvsCEu3T6ARj7qmfw6HQ2CFp_PbsLwzo_9nie1xOZZmWwuTcTCobAK_ThTG4uN4IpdwdJ9pktxu_HC1KL6OaiOgHr-ZQ9z4dtR_qjSrBqDeK3J-kwgdAqDAoCw33rSMP_0x8r9GmsEAaQX8TvVTMO1sQHF5xe_oNltDkzAmnIpwHq80yxAzk-d4Krs993SjgtgwneTNoH0mi5S1vwciVGjng8NR5lidGVtNv9riC7IEgTgJn9dgT6VeiCjy0bmqCOsbImi3Anc8BAZFBN6HOoHQbKNNnJ8NtMCT0XEt6NJy3IddwQnuPRTQpLTG8XNvzAmmfLa7IZmEbOJ7A\",\"summary\":[]}"},{"type":"toolCall","id":"call_Qt2SNkQw2VDweAS3j4Aa71Ek|fc_04a3faafc36e14ce0169f77fd3fc508190aa8362b3946b79ac","name":"exec","arguments":{"command":"journalctl --user -u openclaw-gateway --since '2 hours ago' --no-pager | grep -Ei 'minimax|openrouter|llamacpp|Qwen|context|compact|compaction|fail|error|400|429|401|403|404|500|502|503' | tail -200","workdir":"/home/rurouni","yieldMs":10000,"timeout":30}},{"type":"toolCall","id":"call_htyuCxzv2LcwqNCzfDhWTKZF|fc_04a3faafc36e14ce0169f77fd3fc608190be7da3ec5c69bb95","name":"exec","arguments":{"command":"ss -ltnp | grep -E ':8081|:18789' || true\nprintf '\\n--- llama health/model ---\\n'\ncurl -sS --max-time 5 http://127.0.0.1:8081/v1/models 2>&1 | head -c 2000 || true","workdir":"/home/rurouni","yieldMs":10000,"timeout":20}},{"type":"toolCall","id":"call_BcbLnroQHGTxhZb92qFjOe8s|fc_04a3faafc36e14ce0169f77fd3fc688190aec91f42b1dbf9b7","name":"exec","arguments":{"command":"find /home/rurouni/.openclaw/agents -maxdepth 5 -type f -printf '%TY-%Tm-%Td %TH:%TM %p\\n' 2>/dev/null | sort | tail -80","workdir":"/home/rurouni","yieldMs":10000,"timeout":30}},{"type":"toolCall","id":"call_nMoyTbqgszGFRFZ4fDZKXdh7|fc_04a3faafc36e14ce0169f77fd3fc7081908fd3336386a3cba9","name":"exec","arguments":{"command":"openclaw status --deep","workdir":"/home/rurouni","yieldMs":10000,"timeout":60}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":5188,"output":456,"cacheRead":21504,"cacheWrite":0,"totalTokens":27148,"cost":{"input":0.02594,"output":0.013680000000000001,"cacheRead":0.010752,"cacheWrite":0,"total":0.050372}},"stopReason":"toolUse","timestamp":1777827786302,"responseId":"resp_04a3faafc36e14ce0169f77fca9a6c81908858229488a295f3"}} {"type":"message","id":"b067c1f5","parentId":"04f6f5ab","timestamp":"2026-05-03T17:03:22.654Z","message":{"role":"toolResult","toolCallId":"call_Qt2SNkQw2VDweAS3j4Aa71Ek|fc_04a3faafc36e14ce0169f77fd3fc508190aa8362b3946b79ac","toolName":"exec","content":[{"type":"text","text":"May 03 09:56:13 debian-ai node[45266]: 2026-05-03T09:56:13.651-07:00 [agent/embedded] embedded run agent end: runId=31aaedc5-603b-44ee-8aeb-4902f2f42d51 isError=true model=minimax/minimax-m2.7 provider=openrouter error=HTTP 401: User not found. rawError=401 User not found.\nMay 03 09:56:13 debian-ai node[45266]: 2026-05-03T09:56:13.675-07:00 [agent/embedded] embedded run failover decision: runId=31aaedc5-603b-44ee-8aeb-4902f2f42d51 stage=assistant decision=fallback_model reason=auth from=openrouter/minimax/minimax-m2.7 profile=- rawError=401 User not found.\nMay 03 09:56:13 debian-ai node[45266]: 2026-05-03T09:56:13.678-07:00 [diagnostic] lane task error: lane=main durationMs=1363 error=\"FailoverError: HTTP 401: User not found.\"\nMay 03 09:56:13 debian-ai node[45266]: 2026-05-03T09:56:13.681-07:00 [diagnostic] lane task error: lane=session:agent:main:telegram:direct:7229867039 durationMs=1366 error=\"FailoverError: HTTP 401: User not found.\"\nMay 03 09:56:13 debian-ai node[45266]: 2026-05-03T09:56:13.692-07:00 [model-fallback/decision] model fallback decision: decision=candidate_failed requested=openrouter/minimax/minimax-m2.7 candidate=openrouter/minimax/minimax-m2.7 reason=auth next=none detail=401 User not found.\nMay 03 09:56:13 debian-ai node[45266]: Embedded agent failed before reply: HTTP 401: User not found.\nMay 03 09:56:30 debian-ai node[45266]: 2026-05-03T09:56:30.713-07:00 [hooks/session-memory] Session context saved to ~/memory/2026-05-03-general-help.md\nMay 03 09:56:43 debian-ai node[45266]: 2026-05-03T09:56:43.065-07:00 [agent/embedded] embedded run agent end: runId=667a4259-afc1-496b-b138-a81fc69e45f3 isError=true model=minimax/minimax-m2.7 provider=openrouter error=HTTP 401: User not found. rawError=401 User not found.\nMay 03 09:56:43 debian-ai node[45266]: 2026-05-03T09:56:43.078-07:00 [agent/embedded] embedded run failover decision: runId=667a4259-afc1-496b-b138-a81fc69e45f3 stage=assistant decision=fallback_model reason=auth from=openrouter/minimax/minimax-m2.7 profile=- rawError=401 User not found.\nMay 03 09:56:43 debian-ai node[45266]: 2026-05-03T09:56:43.080-07:00 [diagnostic] lane task error: lane=main durationMs=692 error=\"FailoverError: HTTP 401: User not found.\"\nMay 03 09:56:43 debian-ai node[45266]: 2026-05-03T09:56:43.082-07:00 [diagnostic] lane task error: lane=session:agent:main:telegram:direct:7229867039 durationMs=695 error=\"FailoverError: HTTP 401: User not found.\"\nMay 03 09:56:43 debian-ai node[45266]: 2026-05-03T09:56:43.088-07:00 [model-fallback/decision] model fallback decision: decision=candidate_failed requested=openrouter/minimax/minimax-m2.7 candidate=openrouter/minimax/minimax-m2.7 reason=auth next=none detail=401 User not found.\nMay 03 09:56:43 debian-ai node[45266]: Embedded agent failed before reply: HTTP 401: User not found.\nMay 03 09:57:06 debian-ai node[45266]: 2026-05-03T09:57:06.572-07:00 [hooks/session-memory] Session context saved to ~/memory/2026-05-03-task-request.md\nMay 03 10:01:03 debian-ai node[45266]: 2026-05-03T10:01:03.694-07:00 [agent/embedded] embedded run agent end: runId=808085c5-42b4-4313-ad9c-186ee0e814e8 isError=true model=Qwen3.5-4B-Q8_0.gguf provider=llamacpp error=Context overflow: prompt too large for the model. Try /reset (or /new) to start a fresh session, or use a larger-context model. rawError=400 request (22254 tokens) exceeds the available context size (16384 tokens), try increasing it\nMay 03 10:01:08 debian-ai node[45266]: 2026-05-03T10:01:08.525-07:00 [agent/embedded] embedded run agent end: runId=808085c5-42b4-4313-ad9c-186ee0e814e8 isError=true model=Qwen3.5-4B-Q8_0.gguf provider=llamacpp error=Context overflow: prompt too large for the model. Try /reset (or /new) to start a fresh session, or use a larger-context model. rawError=400 request (22216 tokens) exceeds the available context size (16384 tokens), try increasing it\nMay 03 10:01:08 debian-ai node[45266]: 2026-05-03T10:01:08.533-07:00 [agent/embedded] [compaction] rotated active transcript after automatic compaction (sessionKey=agent:main:telegram:direct:7229867039)\nMay 03 10:01:08 debian-ai node[45266]: 2026-05-03T10:01:08.549-07:00 [agent/embedded] [context-overflow-diag] sessionKey=agent:main:telegram:direct:7229867039 provider=llamacpp/Qwen3.5-4B-Q8_0.gguf source=assistantError messages=10 sessionFile=/home/rurouni/.openclaw/agents/main/sessions/2026-05-03T17-01-08-527Z_e5b7ccc6-45fc-4f01-b2ae-5b1d4dada37b.jsonl diagId=ovf-moq0owg2-9QgJFQ compactionAttempts=0 observedTokens=unknown error=400 request (22216 tokens) exceeds the available context size (16384 tokens), try increasing it\nMay 03 10:01:08 debian-ai node[45266]: 2026-05-03T10:01:08.552-07:00 [agent/embedded] context overflow persisted after in-attempt compaction (attempt 1/3); retrying prompt without additional compaction for llamacpp/Qwen3.5-4B-Q8_0.gguf\nMay 03 10:01:09 debian-ai node[45266]: 2026-05-03T10:01:09.251-07:00 [agent/embedded] embedded run agent end: runId=808085c5-42b4-4313-ad9c-186ee0e814e8 isError=true model=Qwen3.5-4B-Q8_0.gguf provider=llamacpp error=Context overflow: prompt too large for the model. Try /reset (or /new) to start a fresh session, or use a larger-context model. rawError=400 request (22348 tokens) exceeds the available context size (16384 tokens), try increasing it\nMay 03 10:01:15 debian-ai node[45266]: 2026-05-03T10:01:15.041-07:00 [agent/embedded] embedded run agent end: runId=808085c5-42b4-4313-ad9c-186ee0e814e8 isError=true model=Qwen3.5-4B-Q8_0.gguf provider=llamacpp error=Context overflow: prompt too large for the model. Try /reset (or /new) to start a fresh session, or use a larger-context model. rawError=400 request (22155 tokens) exceeds the available context size (16384 tokens), try increasing it\nMay 03 10:01:15 debian-ai node[45266]: 2026-05-03T10:01:15.048-07:00 [agent/embedded] [compaction] rotated active transcript after automatic compaction (sessionKey=agent:main:telegram:direct:7229867039)\nMay 03 10:01:15 debian-ai node[45266]: 2026-05-03T10:01:15.064-07:00 [agent/embedded] [context-overflow-diag] sessionKey=agent:main:telegram:direct:7229867039 provider=llamacpp/Qwen3.5-4B-Q8_0.gguf source=assistantError messages=13 sessionFile=/home/rurouni/.openclaw/agents/main/sessions/2026-05-03T17-01-15-042Z_039861e3-4794-49da-99d2-f489614d6a70.jsonl diagId=ovf-moq0p1h1---pO2w compactionAttempts=1 observedTokens=unknown error=400 request (22155 tokens) exceeds the available context size (16384 tokens), try increasing it\nMay 03 10:01:15 debian-ai node[45266]: 2026-05-03T10:01:15.067-07:00 [agent/embedded] context overflow persisted after in-attempt compaction (attempt 2/3); retrying prompt without additional compaction for llamacpp/Qwen3.5-4B-Q8_0.gguf\nMay 03 10:01:15 debian-ai node[45266]: 2026-05-03T10:01:15.762-07:00 [agent/embedded] embedded run agent end: runId=808085c5-42b4-4313-ad9c-186ee0e814e8 isError=true model=Qwen3.5-4B-Q8_0.gguf provider=llamacpp error=Context overflow: prompt too large for the model. Try /reset (or /new) to start a fresh session, or use a larger-context model. rawError=400 request (22348 tokens) exceeds the available context size (16384 tokens), try increasing it\nMay 03 10:01:21 debian-ai node[45266]: 2026-05-03T10:01:21.204-07:00 [agent/embedded] embedded run agent end: runId=808085c5-42b4-4313-ad9c-186ee0e814e8 isError=true model=Qwen3.5-4B-Q8_0.gguf provider=llamacpp error=Context overflow: prompt too large for the model. Try /reset (or /new) to start a fresh session, or use a larger-context model. rawError=400 request (22155 tokens) exceeds the available context size (16384 tokens), try increasing it\nMay 03 10:01:21 debian-ai node[45266]: 2026-05-03T10:01:21.211-07:00 [agent/embedded] [compaction] rotated active transcript after automatic compaction (sessionKey=agent:main:telegram:direct:7229867039)\nMay 03 10:01:21 debian-ai node[45266]: 2026-05-03T10:01:21.225-07:00 [agent/embedded] [context-overflow-diag] sessionKey=agent:main:telegram:direct:7229867039 provider=llamacpp/Qwen3.5-4B-Q8_0.gguf source=assistantError messages=15 sessionFile=/home/rurouni/.openclaw/agents/main/sessions/2026-05-03T17-01-21-206Z_449d0a7d-b200-4883-820b-0fee2a6f1227.jsonl diagId=ovf-moq0p687-NFuZhg compactionAttempts=2 observedTokens=unknown error=400 request (22155 tokens) exceeds the available context size (16384 tokens), try increasing it\nMay 03 10:01:21 debian-ai node[45266]: 2026-05-03T10:01:21.228-07:00 [agent/embedded] context overflow persisted after in-attempt compaction (attempt 3/3); retrying prompt without additional compaction for llamacpp/Qwen3.5-4B-Q8_0.gguf\nMay 03 10:01:21 debian-ai node[45266]: 2026-05-03T10:01:21.941-07:00 [agent/embedded] embedded run agent end: runId=808085c5-42b4-4313-ad9c-186ee0e814e8 isError=true model=Qwen3.5-4B-Q8_0.gguf provider=llamacpp error=Context overflow: prompt too large for the model. Try /reset (or /new) to start a fresh session, or use a larger-context model. rawError=400 request (22348 tokens) exceeds the available context size (16384 tokens), try increasing it\nMay 03 10:01:27 debian-ai node[45266]: 2026-05-03T10:01:27.768-07:00 [agent/embedded] embedded run agent end: runId=808085c5-42b4-4313-ad9c-186ee0e814e8 isError=true model=Qwen3.5-4B-Q8_0.gguf provider=llamacpp error=Context overflow: prompt too large for the model. Try /reset (or /new) to start a fresh session, or use a larger-context model. rawError=400 request (22155 tokens) exceeds the available context size (16384 tokens), try increasing it\nMay 03 10:01:27 debian-ai node[45266]: 2026-05-03T10:01:27.775-07:00 [agent/embedded] [compaction] rotated active transcript after automatic compaction (sessionKey=agent:main:telegram:direct:7229867039)\nMay 03 10:01:27 debian-ai node[45266]: 2026-05-03T10:01:27.789-07:00 [agent/embedded] [context-overflow-diag] sessionKey=agent:main:telegram:direct:7229867039 provider=llamacpp/Qwen3.5-4B-Q8_0.gguf source=assistantError messages=17 sessionFile=/home/rurouni/.openclaw/agents/main/sessions/2026-05-03T17-01-27-770Z_4c84527a-68b9-4d4a-9860-efa5267ac080.jsonl diagId=ovf-moq0pbaj-0DKWSg compactionAttempts=3 observedTokens=unknown error=400 request (22155 tokens) exceeds the available context size (16384 tokens), try increasing it\nMay 03 10:01:27 debian-ai node[45266]: 2026-05-03T10:01:27.793-07:00 [agent/embedded] [context-overflow-recovery] Attempting tool result truncation for llamacpp/Qwen3.5-4B-Q8_0.gguf (contextWindow=32768 tokens)\nMay 03 10:01:27 debian-ai node[45266]: 2026-05-03T10:01:27.808-07:00 [agent/embedded] [tool-result-truncation] Truncated 1 tool result(s) in session (contextWindow=32768 maxChars=16000 aggregateBudgetChars=16000 oversized=0 aggregate=1) sessionKey=agent:main:telegram:direct:7229867039\nMay 03 10:01:27 debian-ai node[45266]: 2026-05-03T10:01:27.815-07:00 [agent/embedded] [context-overflow-recovery] Truncated 1 tool result(s); retrying prompt\nMay 03 10:01:28 debian-ai node[45266]: 2026-05-03T10:01:28.469-07:00 [agent/embedded] embedded run agent end: runId=808085c5-42b4-4313-ad9c-186ee0e814e8 isError=true model=Qwen3.5-4B-Q8_0.gguf provider=llamacpp error=Context overflow: prompt too large for the model. Try /reset (or /new) to start a fresh session, or use a larger-context model. rawError=400 request (21244 tokens) exceeds the available context size (16384 tokens), try increasing it\nMay 03 10:01:31 debian-ai node[45266]: 2026-05-03T10:01:31.889-07:00 [agent/embedded] embedded run failover decision: runId=808085c5-42b4-4313-ad9c-186ee0e814e8 stage=assistant decision=surface_error reason=none from=llamacpp/Qwen3.5-4B-Q8_0.gguf profile=- rawError=400 request (22348 tokens) exceeds the available context size (16384 tokens), try increasing it\nMay 03 10:03:16 debian-ai node[45266]: 2026-05-03T10:03:16.139-07:00 [exec] elevated command journalctl --user -u openclaw-gateway --since '2 hours ago...on|fail|error|400|429|401|403|404|500|502|503' | tail -200"}],"details":{"persistedDetailsTruncated":true,"originalDetailsBytesAtLeast":8193,"originalDetailKeys":["status","exitCode","durationMs","aggregated","cwd"],"status":"completed","cwd":"/home/rurouni","exitCode":0},"isError":false,"timestamp":1777827802652}} {"type":"message","id":"14df775c","parentId":"b067c1f5","timestamp":"2026-05-03T17:03:22.654Z","message":{"role":"toolResult","toolCallId":"call_htyuCxzv2LcwqNCzfDhWTKZF|fc_04a3faafc36e14ce0169f77fd3fc608190be7da3ec5c69bb95","toolName":"exec","content":[{"type":"text","text":"LISTEN 0 511 0.0.0.0:18789 0.0.0.0:* users:((\"MainThread\",pid=45266,fd=25))\nLISTEN 0 512 0.0.0.0:8081 0.0.0.0:* \n\n--- llama health/model ---\n{\"models\":[{\"name\":\"Qwen3.5-4B-Q8_0.gguf\",\"model\":\"Qwen3.5-4B-Q8_0.gguf\",\"modified_at\":\"\",\"size\":\"\",\"digest\":\"\",\"type\":\"model\",\"description\":\"\",\"tags\":[\"\"],\"capabilities\":[\"completion\"],\"parameters\":\"\",\"details\":{\"parent_model\":\"\",\"format\":\"gguf\",\"family\":\"\",\"families\":[\"\"],\"parameter_size\":\"\",\"quantization_level\":\"\"}}],\"object\":\"list\",\"data\":[{\"id\":\"Qwen3.5-4B-Q8_0.gguf\",\"aliases\":[],\"tags\":[],\"object\":\"model\",\"created\":1777827796,\"owned_by\":\"llamacpp\",\"meta\":{\"vocab_type\":2,\"n_vocab\":248320,\"n_ctx_train\":262144,\"n_embd\":2560,\"n_params\":4205751296,\"size\":4471435264}}]}"}],"details":{"status":"completed","exitCode":0,"durationMs":63,"aggregated":"LISTEN 0 511 0.0.0.0:18789 0.0.0.0:* users:((\"MainThread\",pid=45266,fd=25))\nLISTEN 0 512 0.0.0.0:8081 0.0.0.0:* \n\n--- llama health/model ---\n{\"models\":[{\"name\":\"Qwen3.5-4B-Q8_0.gguf\",\"model\":\"Qwen3.5-4B-Q8_0.gguf\",\"modified_at\":\"\",\"size\":\"\",\"digest\":\"\",\"type\":\"model\",\"description\":\"\",\"tags\":[\"\"],\"capabilities\":[\"completion\"],\"parameters\":\"\",\"details\":{\"parent_model\":\"\",\"format\":\"gguf\",\"family\":\"\",\"families\":[\"\"],\"parameter_size\":\"\",\"quantization_level\":\"\"}}],\"object\":\"list\",\"data\":[{\"id\":\"Qwen3.5-4B-Q8_0.gguf\",\"aliases\":[],\"tags\":[],\"object\":\"model\",\"created\":1777827796,\"owned_by\":\"llamacpp\",\"meta\":{\"vocab_type\":2,\"n_vocab\":248320,\"n_ctx_train\":262144,\"n_embd\":2560,\"n_params\":4205751296,\"size\":4471435264}}]}","cwd":"/home/rurouni"},"isError":false,"timestamp":1777827802652}} 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status\n\nOverview\n┌──────────────────────┬───────────────────────────────────────────────────────────────────────────────────────────────┐\n│ Item │ Value │\n├──────────────────────┼───────────────────────────────────────────────────────────────────────────────────────────────┤\n│ OS │ linux 6.12.85+deb13-amd64 (x64) · node 24.15.0 │\n│ Dashboard │ http://192.168.1.50:18789/ │\n│ Tailscale exposure │ off │\n│ Channel │ stable (default) │\n│ Update │ pnpm · up to date · npm latest 2026.5.2 │\n│ Gateway │ local · ws://127.0.0.1:18789 (local loopback) · reachable 62ms · auth token · debian-ai (192. │\n│ │ 168.1.50) app 2026.5.2 linux 6.12.85+deb13-amd64 │\n│ Gateway self │ debian-ai (192.168.1.50) app 2026.5.2 linux 6.12.85+deb13-amd64 │\n│ Gateway service │ systemd installed · enabled · running (pid 45266, state active) │\n│ Node service │ systemd not installed │\n│ Agents │ 1 · no bootstrap files · sessions 3 · default main active just now │\n│ Memory │ enabled (plugin memory-core) · not checked │\n│ Plugin compatibility │ none │\n│ Probes │ enabled │\n│ Events │ none │\n│ Tasks │ none │\n│ Heartbeat │ 30m (main) │\n│ Last heartbeat │ ok-token · 26m ago ago · unknown │\n│ Sessions │ 3 active · default gpt-5.5 (128k ctx) · ~/.openclaw/agents/main/sessions/sessions.json │\n└──────────────────────┴───────────────────────────────────────────────────────────────────────────────────────────────┘\n\nSecurity audit\nSummary: 0 critical · 1 warn · 1 info\n WARN No auth rate limiting configured\n gateway.bind is not loopback but no gateway.auth.rateLimit is configured. Without rate limiting, brute-force auth attacks are not mitigated.\n Fix: Set gateway.auth.rateLimit (e.g. { maxAttempts: 10, windowMs: 60000, lockoutMs: 300000 }).\nFull report: openclaw security audit\nDeep probe: openclaw security audit --deep\n\nChannels\n┌──────────┬─────────┬────────┬────────────────────────────────────────────────────────────────────────────────────────┐\n│ Channel │ Enabled │ State │ Detail │\n├──────────┼─────────┼────────┼────────────────────────────────────────────────────────────────────────────────────────┤\n│ Telegram │ ON │ OK │ token config (8796…S0Zs · len 46) · accounts 1/1 │\n└──────────┴─────────┴────────┴────────────────────────────────────────────────────────────────────────────────────────┘\n\nSessions\n┌───────────────────────────────────────────────────┬────────┬─────────┬──────────────┬────────────────────────────────┐\n│ Key │ Kind │ Age │ Model │ Tokens │\n├───────────────────────────────────────────────────┼────────┼─────────┼──────────────┼────────────────────────────────┤\n│ agent:main:telegram:direct:7229… │ direct │ 1m ago │ gpt-5.5 │ unknown/128k (?%) │\n│ agent:main:main:heartbeat │ direct │ 26m ago │ gpt-5.5 │ 8.9k/128k (7%) · 🗄️ 40% cached │\n│ agent:main:main │ direct │ 9h ago │ gpt-5.5 │ 22k/28k (78%) · 🗄️ 64% cached │\n└───────────────────────────────────────────────────┴────────┴─────────┴──────────────┴────────────────────────────────┘\n\nHealth\n┌──────────┬───────────┬───────────────────────────────────────────────────────────────────────────────────────────────┐\n│ Item │ Status │ Detail │\n├──────────┼───────────┼───────────────────────────────────────────────────────────────────────────────────────────────┤\n│ Gateway │ reachable │ 264ms │\n│ Telegram │ OK │ configured │\n└──────────┴───────────┴───────────────────────────────────────────────────────────────────────────────────────────────┘\n\nFAQ: https://docs.openclaw.ai/faq\nTroubleshooting: https://docs.openclaw.ai/troubleshooting\nNext steps:\n Need to share? openclaw status --all\n Need to debug live? openclaw logs --follow\n Need to test channels? openclaw status --deep"}],"details":{"persistedDetailsTruncated":true,"originalDetailsBytesAtLeast":8936,"originalDetailKeys":["status","exitCode","durationMs","aggregated","cwd"],"status":"completed","cwd":"/home/rurouni","exitCode":0},"isError":false,"timestamp":1777827802654}} 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22348\nsrv send_error: task id = 28892, error: request (22348 tokens) exceeds the available context size (16384 tokens), try increasing it\nslot release: id 1 | task 28892 | stop processing: n_tokens = 14912, truncated = 0\nsrv update_slots: no tokens to decode\nsrv update_slots: all slots are idle\nsrv log_server_r: done request: POST /v1/chat/completions 127.0.0.1 400\nslot get_availabl: id 0 | task -1 | selected slot by LCP similarity, sim_best = 0.147 (> 0.100 thold), f_keep = 0.147\nslot launch_slot_: id 0 | task -1 | sampler chain: logits -> ?penalties -> ?dry -> ?top-n-sigma -> top-k -> ?typical -> top-p -> min-p -> ?xtc -> temp-ext -> dist \nslot launch_slot_: id 0 | task 28895 | processing task, is_child = 0\nslot update_slots: id 0 | task 28895 | new prompt, n_ctx_slot = 16384, n_keep = 0, task.n_tokens = 502\nslot update_slots: id 0 | task 28895 | n_past = 74, slot.prompt.tokens.size() = 503, seq_id = 0, pos_min = 502, n_swa = 0\nslot update_slots: id 0 | task 28895 | Checking checkpoint with [284, 284] against 74...\nslot update_slots: id 0 | task 28895 | forcing full prompt re-processing due to lack of cache data (likely due to SWA or hybrid/recurrent memory, see https://github.com/ggml-org/llama.cpp/pull/13194#issuecomment-2868343055)\nslot update_slots: id 0 | task 28895 | erased invalidated context checkpoint (pos_min = 284, pos_max = 284, n_tokens = 285, n_swa = 0, pos_next = 0, size = 50.251 MiB)\nslot update_slots: id 0 | task 28895 | n_tokens = 0, memory_seq_rm [0, end)\nslot update_slots: id 0 | task 28895 | prompt processing progress, n_tokens = 498, batch.n_tokens = 498, progress = 0.992032\nslot update_slots: id 0 | task 28895 | n_tokens = 498, memory_seq_rm [498, end)\nslot init_sampler: id 0 | task 28895 | init sampler, took 0.07 ms, tokens: text = 502, total = 502\nslot update_slots: id 0 | task 28895 | prompt processing done, n_tokens = 502, batch.n_tokens = 4\nslot create_check: id 0 | task 28895 | created context checkpoint 1 of 32 (pos_min = 497, pos_max = 497, n_tokens = 498, size = 50.251 MiB)\nsrv log_server_r: done request: POST /v1/chat/completions 127.0.0.1 200\nslot print_timing: id 0 | task 28895 | \nslot release: id 0 | task 28895 | stop processing: n_tokens = 761, truncated = 0\nsrv update_slots: all slots are idle\nslot get_availabl: id 1 | task -1 | selected slot by LCP similarity, sim_best = 0.641 (> 0.100 thold), f_keep = 0.952\nslot launch_slot_: id 1 | task -1 | sampler chain: logits -> ?penalties -> ?dry -> ?top-n-sigma -> top-k -> ?typical -> top-p -> min-p -> ?xtc -> temp-ext -> dist \nslot launch_slot_: id 1 | task 29157 | processing task, is_child = 0\nslot update_slots: id 1 | task 29157 | new prompt, n_ctx_slot = 16384, n_keep = 0, task.n_tokens = 22155\nsrv send_error: task id = 29157, error: request (22155 tokens) exceeds the available context size (16384 tokens), try increasing it\nslot release: id 1 | task 29157 | stop processing: n_tokens = 14912, truncated = 0\nsrv update_slots: no tokens to decode\nsrv update_slots: all slots are idle\nsrv log_server_r: done request: POST /v1/chat/completions 127.0.0.1 400\nslot get_availabl: id 1 | task -1 | selected slot by LCP similarity, sim_best = 0.644 (> 0.100 thold), f_keep = 0.965\nslot launch_slot_: id 1 | task -1 | sampler chain: logits -> ?penalties -> ?dry -> ?top-n-sigma -> top-k -> ?typical -> top-p -> min-p -> ?xtc -> temp-ext -> dist \nslot launch_slot_: id 1 | task 29160 | processing task, is_child = 0\nslot update_slots: id 1 | task 29160 | new prompt, n_ctx_slot = 16384, n_keep = 0, task.n_tokens = 22348\nsrv send_error: task id = 29160, error: request (22348 tokens) exceeds the available context size (16384 tokens), try increasing it\nslot release: id 1 | task 29160 | stop processing: n_tokens = 14912, truncated = 0\nsrv update_slots: no tokens to decode\nsrv update_slots: all slots are idle\nsrv log_server_r: done request: POST /v1/chat/completions 127.0.0.1 400\nslot get_availabl: id 0 | task -1 | selected slot by LCP similarity, sim_best = 1.000 (> 0.100 thold), f_keep = 0.660\nslot launch_slot_: id 0 | task -1 | sampler chain: logits -> ?penalties -> ?dry -> ?top-n-sigma -> top-k -> ?typical -> top-p -> min-p -> ?xtc -> temp-ext -> dist \nslot launch_slot_: id 0 | task 29163 | processing task, is_child = 0\nslot update_slots: id 0 | task 29163 | new prompt, n_ctx_slot = 16384, n_keep = 0, task.n_tokens = 502\nslot update_slots: id 0 | task 29163 | n_past = 502, slot.prompt.tokens.size() = 761, seq_id = 0, pos_min = 760, n_swa = 0\nslot update_slots: id 0 | task 29163 | Checking checkpoint with [497, 497] against 502...\nslot update_slots: id 0 | task 29163 | restored context checkpoint (pos_min = 497, pos_max = 497, n_tokens = 498, n_past = 498, size = 50.251 MiB)\nslot update_slots: id 0 | task 29163 | n_tokens = 498, memory_seq_rm [498, end)\nslot init_sampler: id 0 | task 29163 | init sampler, took 0.07 ms, tokens: text = 502, total = 502\nslot update_slots: id 0 | task 29163 | prompt processing done, n_tokens = 502, batch.n_tokens = 4\nsrv log_server_r: done request: POST /v1/chat/completions 127.0.0.1 200\nslot print_timing: id 0 | task 29163 | \nslot release: id 0 | task 29163 | stop processing: n_tokens = 761, truncated = 0\nsrv update_slots: all slots are idle\nslot get_availabl: id 1 | task -1 | selected slot by LCP similarity, sim_best = 0.641 (> 0.100 thold), f_keep = 0.952\nslot launch_slot_: id 1 | task -1 | sampler chain: logits -> ?penalties -> ?dry -> ?top-n-sigma -> top-k -> ?typical -> top-p -> min-p -> ?xtc -> temp-ext -> dist \nslot launch_slot_: id 1 | task 29424 | processing task, is_child = 0\nslot update_slots: id 1 | task 29424 | new prompt, n_ctx_slot = 16384, n_keep = 0, task.n_tokens = 22155\nsrv send_error: task id = 29424, error: request (22155 tokens) exceeds the available context size (16384 tokens), try increasing it\nslot release: id 1 | task 29424 | stop processing: n_tokens = 14912, truncated = 0\nsrv update_slots: no tokens to decode\nsrv update_slots: all slots are idle\nsrv log_server_r: done request: POST /v1/chat/completions 127.0.0.1 400\nslot get_availabl: id 1 | task -1 | selected slot by LCP similarity, sim_best = 0.644 (> 0.100 thold), f_keep = 0.965\nslot launch_slot_: id 1 | task -1 | sampler chain: logits -> ?penalties -> ?dry -> ?top-n-sigma -> top-k -> ?typical -> top-p -> min-p -> ?xtc -> temp-ext -> dist \nslot launch_slot_: id 1 | task 29427 | processing task, is_child = 0\nslot update_slots: id 1 | task 29427 | new prompt, n_ctx_slot = 16384, n_keep = 0, task.n_tokens = 22348\nsrv send_error: task id = 29427, error: request (22348 tokens) exceeds the available context size (16384 tokens), try increasing it\nslot release: id 1 | task 29427 | stop processing: n_tokens = 14912, truncated = 0\nsrv update_slots: no tokens to decode\nsrv update_slots: all slots are idle\nsrv log_server_r: done request: POST /v1/chat/completions 127.0.0.1 400\nslot get_availabl: id 0 | task -1 | selected slot by LCP similarity, sim_best = 1.000 (> 0.100 thold), f_keep = 0.660\nslot launch_slot_: id 0 | task -1 | sampler chain: logits -> ?penalties -> ?dry -> ?top-n-sigma -> top-k -> ?typical -> top-p -> min-p -> ?xtc -> temp-ext -> dist \nslot launch_slot_: id 0 | task 29430 | processing task, is_child = 0\nslot update_slots: id 0 | task 29430 | new prompt, n_ctx_slot = 16384, n_keep = 0, task.n_tokens = 502\nslot update_slots: id 0 | task 29430 | n_past = 502, slot.prompt.tokens.size() = 761, seq_id = 0, pos_min = 760, n_swa = 0\nslot update_slots: id 0 | task 29430 | Checking checkpoint with [497, 497] against 502...\nslot update_slots: id 0 | task 29430 | restored context checkpoint (pos_min = 497, pos_max = 497, n_tokens = 498, n_past = 498, size = 50.251 MiB)\nslot update_slots: id 0 | task 29430 | n_tokens = 498, memory_seq_rm [498, end)\nslot init_sampler: id 0 | task 29430 | init sampler, took 0.07 ms, tokens: text = 502, total = 502\nslot update_slots: id 0 | task 29430 | prompt processing done, n_tokens = 502, batch.n_tokens = 4\nsrv log_server_r: done request: POST /v1/chat/completions 127.0.0.1 200\nslot print_timing: id 0 | task 29430 | \nslot release: id 0 | task 29430 | stop processing: n_tokens = 781, truncated = 0\nsrv update_slots: all slots are idle\nslot get_availabl: id 1 | task -1 | selected slot by LCP similarity, sim_best = 0.641 (> 0.100 thold), f_keep = 0.952\nslot launch_slot_: id 1 | task -1 | sampler chain: logits -> ?penalties -> ?dry -> ?top-n-sigma -> top-k -> ?typical -> top-p -> min-p -> ?xtc -> temp-ext -> dist \nslot launch_slot_: id 1 | task 29711 | processing task, is_child = 0\nslot update_slots: id 1 | task 29711 | new prompt, n_ctx_slot = 16384, n_keep = 0, task.n_tokens = 22155\nsrv send_error: task id = 29711, error: request (22155 tokens) exceeds the available context size (16384 tokens), try increasing it\nslot release: id 1 | task 29711 | stop processing: n_tokens = 14912, truncated = 0\nsrv update_slots: no tokens to decode\nsrv update_slots: all slots are idle\nsrv log_server_r: done request: POST /v1/chat/completions 127.0.0.1 400\nslot get_availabl: id 1 | task -1 | selected slot by LCP similarity, sim_best = 0.677 (> 0.100 thold), f_keep = 0.965\nslot launch_slot_: id 1 | task -1 | sampler chain: logits -> ?penalties -> ?dry -> ?top-n-sigma -> top-k -> ?typical -> top-p -> min-p -> ?xtc -> temp-ext -> dist \nslot launch_slot_: id 1 | task 29714 | processing task, is_child = 0\nslot update_slots: id 1 | task 29714 | new prompt, n_ctx_slot = 16384, n_keep = 0, task.n_tokens = 21244\nsrv send_error: task id = 29714, error: request (21244 tokens) exceeds the available context size (16384 tokens), try increasing it\nslot release: id 1 | task 29714 | stop processing: n_tokens = 14912, truncated = 0\nsrv update_slots: no tokens to decode\nsrv update_slots: all slots are idle\nsrv log_server_r: done request: POST /v1/chat/completions 127.0.0.1 400\nslot get_availabl: id 0 | task -1 | selected slot by LCP similarity, sim_best = 1.000 (> 0.100 thold), f_keep = 0.643\nslot launch_slot_: id 0 | task -1 | sampler chain: logits -> ?penalties -> ?dry -> ?top-n-sigma -> top-k -> ?typical -> top-p -> min-p -> ?xtc -> temp-ext -> dist \nslot launch_slot_: id 0 | task 29717 | processing task, is_child = 0\nslot update_slots: id 0 | task 29717 | new prompt, n_ctx_slot = 16384, n_keep = 0, task.n_tokens = 502\nslot update_slots: id 0 | task 29717 | n_past = 502, slot.prompt.tokens.size() = 781, seq_id = 0, pos_min = 780, n_swa = 0\nslot update_slots: id 0 | task 29717 | Checking checkpoint with [497, 497] against 502...\nslot update_slots: id 0 | task 29717 | restored context checkpoint (pos_min = 497, pos_max = 497, n_tokens = 498, n_past = 498, size = 50.251 MiB)\nslot update_slots: id 0 | task 29717 | n_tokens = 498, memory_seq_rm [498, end)\nslot init_sampler: id 0 | task 29717 | init sampler, took 0.08 ms, tokens: text = 502, total = 502\nslot update_slots: id 0 | task 29717 | prompt processing done, n_tokens = 502, batch.n_tokens = 4\nsrv log_server_r: done request: POST /v1/chat/completions 127.0.0.1 200\nslot release: id 0 | task 29717 | stop processing: n_tokens = 672, truncated = 0\nsrv update_slots: all slots are idle"}],"details":{"persistedDetailsTruncated":true,"originalDetailsBytesAtLeast":8193,"originalDetailKeys":["status","exitCode","durationMs","aggregated","cwd"],"status":"completed","cwd":"/home/rurouni","exitCode":0},"isError":false,"timestamp":1777827819966}} 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OpenClaw config/models","status":"completed"},{"step":"Check recent gateway/session logs","status":"completed"},{"step":"Verify local model context settings","status":"completed"},{"step":"Verify MiniMax route/auth/model alias","status":"completed"},{"step":"Report root cause and fixes","status":"in_progress"}]}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":618,"output":182,"cacheRead":43520,"cacheWrite":0,"totalTokens":44320,"cost":{"input":0.0030900000000000003,"output":0.0054600000000000004,"cacheRead":0.021759999999999998,"cacheWrite":0,"total":0.030309999999999997}},"stopReason":"toolUse","timestamp":1777827829800,"responseId":"resp_04a3faafc36e14ce0169f77ff624f081908389b06988767449"}} {"type":"message","id":"6be6a6c4","parentId":"8359f38c","timestamp":"2026-05-03T17:03:55.018Z","message":{"role":"toolResult","toolCallId":"call_DDfJlaD2BhHJUYXxnpbd8tHX|fc_04a3faafc36e14ce0169f77ff9e734819081b0870a3aa4fd36","toolName":"update_plan","content":[],"details":{"status":"updated","plan":[{"step":"Inspect OpenClaw config/models","status":"completed"},{"step":"Check recent gateway/session logs","status":"completed"},{"step":"Verify local model context settings","status":"completed"},{"step":"Verify MiniMax route/auth/model alias","status":"completed"},{"step":"Report root cause and fixes","status":"in_progress"}]},"isError":false,"timestamp":1777827835018}} {"type":"message","id":"8bc0caa3","parentId":"6be6a6c4","timestamp":"2026-05-03T17:08:04.558Z","message":{"role":"user","content":[{"type":"text","text":"Continue the OpenClaw runtime event."}],"timestamp":1777828084557}} {"type":"message","id":"d3bc5377","parentId":"8bc0caa3","timestamp":"2026-05-03T17:08:09.322Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_04a3faafc36e14ce0169f780f5e0fc8190b00179100af6d211\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp94D4DStnngMpkt5Kjdz_gr7V92rHZPw3qvI7ctFRKxxuA3kN1bEcxfLJKm7f1zAfaUocMmvHOQBoUq5-v2MFh6B1t_VQlRlRRbhw-3at7RTrVNSSeCf9IMjHkYw17cMuSqmIO5EMs_jRn3YCGhtjP7qceBhRXz_4AJV58fCHkBmELHV1S6TUJ4UwHzmzStTBvgsrFdbxFkca7hH0P3H9UgmxjU8GJTJ4hYrDnKf0_4MJhEjuXAnhmuuehPLuIgzpGNwH9rjwhLxGczIbAM73oAd_F5-FGIEmJ1p-Z3QccoVEfE8TO0e9TGMs7Qsy3rjdS6oA8EwIPYy-elCdI0KXa8WUAIr-aac1pdK6QeQ4BrqFqwrtKokEYRLzwyc0WGhmOB9m8woxZNi80Jt8UiLiHv2nbnjt2O_fZ6HqvYz1rSSpAS_9Wf15itCzwxpLst52nQGQBQIqCW423-oY2-S9s3-G6RksANM1okpWZQ1-926HefvfzGuytDn2QJxxtncgN2PxE_erApv-sAYDTZ2nVR9wOKqkNQnab-cSxISnbXty2_snADzNnkb02yMMK6w27jJokK5f1dJKCurMATNB4yG7FenCp1SrjOpYX2sVm0KvW-8wzR-DORHt4Juf6xlMblyz6KHZi08Az-g01pnuLmTfbcNW52FitV_I_38eblUhK0J_UWym_tbfGugm33PVxWOOovyIbQvkqKnCBqDfmdv-hKpQvZ86bwXRTF035Op-fWzkroFiCKcKNBHiP8seu1SgB5XqO5KxiVe8JKU7E7KeDso8Z3BV7mayOpNkeNd706xIxLGQRBrW4-xyV5sbICJFde7Uk4U2ur2j68CK9eEhhQDCI5DZzoWSwa17xTEDRIR4-MsI9rUYt1t0XONKmb37d9o7iWYNWaf7xDE9Snyl6ESSznSHRFWH-csOB7QrxAzqKsOGGJq1w9gH69lhnOhC6p7r_fmVixr_x5P-Gz8IzVolBI0_yjA5rveLCL-fsLtGNa7nqTrV4D-02vSVJkvVoaPhGtrugJbsFGy86Yes4elrV0noCqvavh16xRbvFFWYKJAvKt94lW50jl380cotMD2FVAgNCeQkI-XYP2tozMBZ6J8qgO6N_RtFbEDYvCDWSbqdFIZoBIIsYIU3oODjg4qd3fble33k6BS-PqfB3u7056R8QC0O8uLLqLlAdA3hx07ao0OY6Mpngu3OcvAArS2oo2hUpfrqTLVG4Dhjj1gCIrF5z-CygnFh2KRI3KJSy5g8M4N7OZcxjybO7dPtdZZhyjYnTzZMD_zW8ciRGAgxH9CfBev9KELFvvasxWr5uWAUEzV5bkbzuF8RFK2ZEneGt6OZLSc_SJsskVyIZfvnJBz7lYYv57NpPz7VuqM037U5kVirp7vTsga7zg9rlkUQCJW4WHqVq46tn6DUYf2n90uX2pJL6T5_H26SitQ_5gQ7Es3ud9NcTHjK2pymrQLHnn_azdz4LFee4xfT3LpYVtUaHA3REA_2hacJdywHTcRihjusTJ5Xzvj1gqAB3b63GACDmqGEq8c8rcANYl7Jy2wFRXC14O5xfla4YeR7JVkJGXi5mM5PgbMxvP1w2k02oakuu2LAlUXL7TsRD6JYco5qZdxHEonMaauWeCy4zwDRm3EwPK4qD1hGxJAXcRnDV7kzGVv6kK_RDdcvvhR8FV1TZjECfopJjUmsBUcKjsTqgTpNzQQYMG3WSNlwTjE3BbP0PEq3GqcQ8oFpPoijvFOHFRKm1VznK0RMYTaDdsLuUSHz4bfP771bopa9b-tLpKUSkeNWF6GgUQ5sPRqqvwN09stOR8SRYLtAP5gDmB_TA0UPC66wJRUw3vs9lY9VHLBAGf8exiv689xtIfqn-u9nKw5pW_DmLZd-JftyvF2O1qRreSeZ3mZg3ixP3XuNYDSRu4ag-EBQETIHCg==\",\"summary\":[]}"},{"type":"toolCall","id":"call_qiPEvP4HgUTXwHsxCpwslyO7|fc_04a3faafc36e14ce0169f780f8e4a08190b97f2d15fd03602c","name":"read","arguments":{"path":"/home/rurouni/memory/2026-05-03.md"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":12890,"output":196,"cacheRead":0,"cacheWrite":0,"totalTokens":13086,"cost":{"input":0.06445000000000001,"output":0.00588,"cacheRead":0,"cacheWrite":0,"total":0.07033}},"stopReason":"toolUse","timestamp":1777828084559,"responseId":"resp_04a3faafc36e14ce0169f780f4c7348190892eb40771fa168e"}} {"type":"message","id":"9553bad8","parentId":"d3bc5377","timestamp":"2026-05-03T17:08:09.397Z","message":{"role":"toolResult","toolCallId":"call_qiPEvP4HgUTXwHsxCpwslyO7|fc_04a3faafc36e14ce0169f780f8e4a08190b97f2d15fd03602c","toolName":"read","content":[{"type":"text","text":"# 2026-05-03 Daily Notes\n\n## Identity/session setup\n\n- Raymond asked “who are you?” during early Telegram setup.\n- Assistant identity settled as **Ruruni**: calm digital ronin / terminal homie / technical familiar / loyal second brain.\n- Durable identity and preferences are curated in `/home/rurouni/MEMORY.md`, `/home/rurouni/SOUL.md`, `/home/rurouni/IDENTITY.md`, and `/home/rurouni/USER.md`.\n\n## Context/compaction tuning\n\n- Raymond reported GPT-5/OpenClaw compacting too often.\n- Before tuning, the main session showed `contextTokens` at `28000`.\n- Updated `/home/rurouni/.openclaw/openclaw.json` agent defaults to `contextTokens: 128000`.\n- Updated compaction settings: `reserveTokensFloor: 24000`, `maxActiveTranscriptBytes: 1000000`, and `memoryFlush.softThresholdTokens: 60000`.\n- Backup: `/home/rurouni/backups/context-memory-20260503-012153`.\n- Gateway restart completed successfully after these changes.\n\n## Memory search / runtime notes\n\n- `openclaw doctor` reported “No active memory plugin is registered for the current config,” while `openclaw status` reported memory enabled with `memory-core`.\n- Deep memory status showed memory files indexed but embeddings unavailable; provider auto-selection found no usable embedding auth/key. Raymond said to leave memory search as-is for now.\n- Raymond later received a context-limit reset warning recommending `agents.defaults.compaction.reserveTokensFloor >= 20000`; current config already uses `24000`.\n- Pending: finish online/local-doc research on safe/max OpenClaw context settings for `openai-codex/gpt-5.5` through ChatGPT Plus/auth route before changing context config again.\n\n## Memory cleanup\n\n- Cleaned duplicate daily-note content and compacted long-term memory.\n- Added unindexed `memory/README.txt` describing memory layout and hygiene rules.\n- Moved archive docs/raw fragments to `.txt` so markdown memory search stays focused on real memories.\n- Verified active memory index is clean; after adding the compact 2026-05-02 note it shows 3/3 files, 7 chunks, dirty: no (`MEMORY.md`, `memory/2026-05-02.md`, and `memory/2026-05-03.md`).\n- Compacted stale `.openclaw/workspace/memory/2026-05-02-*` bootstrap/session dumps into one concise daily note and moved raw copies to `.txt` archive after backing up `/home/rurouni/.openclaw/workspace/memory`.\n- Synced stale `.openclaw/workspace` identity/persona files from root copies so fallback workspace context does not regress to generic/bootstrap persona.\n- Pruned stale duplicate short-term recall entry for the old `memory/2026-05-03.md:21:30` line range after the daily note grew to line 34.\n- Remaining non-memory issue: `openclaw doctor` reports orphan transcript files under `~/.openclaw/agents/main/sessions`; do not run broad `doctor --fix` without Raymond approving.\n- Consolidated the older duplicate OpenClaw workspace memory/persona set from `.openclaw/workspace` into active `/home/rurouni`: copied the compact `2026-05-02.md` note and raw preserved fragments, then moved the legacy workspace to `/home/rurouni/backups/removed-legacy-openclaw-workspace-20260503-014443` instead of deleting it.\n\n## System / storage audit\n\n- Raymond moved backup storage from root disk to the actual backup drive: `/home/rurouni/backups` is now a compatibility symlink to `/backup/rurouni/openclaw-backups` on `/dev/sdb1` ext4; backup contents verified there.\n- Drive layout verified: `/` and `/home/rurouni` on NVMe ext4; `/backup` and `/archive` each on separate Hitachi HDD ext4 mounts; `/models` on Samsung SSD ext4; `/data` on RAID0 ext4 from two Intel SSDs; `/dev/shm/ai-hot` tmpfs 16G.\n- Read-only audit found disks spacious, no inode pressure, no failed systemd units, no kernel warning/errors in journal, and OpenClaw update status up to date (`2026.5.2`).\n- Noted risk/context items without changing them: no host firewall package/rules detected, SSH/nginx/OpenClaw/llama services listen on LAN, Gateway LAN bind is intentional behind OPNsense, OpenClaw auth rate limiting remains unset by user choice for now, `tools.elevated` enabled for Raymond’s Telegram ID, Docker group grants root-equivalent host capability to the `rurouni` user.\n- Memory layout remains compact: active markdown memories are only `MEMORY.md`, `memory/2026-05-02.md`, and `memory/2026-05-03.md`; raw fragments remain `.txt` under `memory/archive/raw`; `.dreams` recall artifacts are present but small.\n- Remaining cleanup candidates: 19 orphan transcript `.jsonl` files reported by `openclaw doctor`, optional OpenClaw auth rate limiting, optional host firewall/OPNsense-aligned rules, optional unattended security updates, optional backup snapshot strategy, and optional `smartmontools`/disk health checks.\n- Raymond approved running `openclaw doctor --fix`; ran both `openclaw doctor --fix` and `openclaw doctor --fix --yes`. Doctor refreshed the plugin registry and installed shell completion, but still reported 20 orphan transcript files afterward; no `.jsonl.deleted.*` archive files were created. Manual archiving should be treated as a separate cleanup decision.\n"}],"isError":false,"timestamp":1777828089397}} {"type":"message","id":"37dc8d3c","parentId":"9553bad8","timestamp":"2026-05-03T17:08:42.384Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_s5PqyGFFCI1O5REttEgMHtml|fc_04a3faafc36e14ce0169f780fbe208819090f5ad48e01512b0","name":"write","arguments":{"path":"/home/rurouni/memory/2026-05-03.md","content":"# 2026-05-03 Daily Notes\n\n## Identity/session setup\n\n- Raymond asked “who are you?” during early Telegram setup.\n- Assistant identity settled as **Ruruni**: calm digital ronin / terminal homie / technical familiar / loyal second brain.\n- Durable identity and preferences are curated in `/home/rurouni/MEMORY.md`, `/home/rurouni/SOUL.md`, `/home/rurouni/IDENTITY.md`, and `/home/rurouni/USER.md`.\n\n## Context/compaction tuning\n\n- Raymond reported GPT-5/OpenClaw compacting too often.\n- Before tuning, the main session showed `contextTokens` at `28000`.\n- Updated `/home/rurouni/.openclaw/openclaw.json` agent defaults to `contextTokens: 128000`.\n- Updated compaction settings: `reserveTokensFloor: 24000`, `maxActiveTranscriptBytes: 1000000`, and `memoryFlush.softThresholdTokens: 60000`.\n- Backup: `/home/rurouni/backups/context-memory-20260503-012153`.\n- Gateway restart completed successfully after these changes.\n\n## Memory search / runtime notes\n\n- `openclaw doctor` reported “No active memory plugin is registered for the current config,” while `openclaw status` reported memory enabled with `memory-core`.\n- Deep memory status showed memory files indexed but embeddings unavailable; provider auto-selection found no usable embedding auth/key. Raymond said to leave memory search as-is for now.\n- Raymond later received a context-limit reset warning recommending `agents.defaults.compaction.reserveTokensFloor >= 20000`; current config already uses `24000`.\n- Pending: finish online/local-doc research on safe/max OpenClaw context settings for `openai-codex/gpt-5.5` through ChatGPT Plus/auth route before changing context config again.\n\n## Memory cleanup\n\n- Cleaned duplicate daily-note content and compacted long-term memory.\n- Added unindexed `memory/README.txt` describing memory layout and hygiene rules.\n- Moved archive docs/raw fragments to `.txt` so markdown memory search stays focused on real memories.\n- Verified active memory index is clean; after adding the compact 2026-05-02 note it shows 3/3 files, 7 chunks, dirty: no (`MEMORY.md`, `memory/2026-05-02.md`, and `memory/2026-05-03.md`).\n- Compacted stale `.openclaw/workspace/memory/2026-05-02-*` bootstrap/session dumps into one concise daily note and moved raw copies to `.txt` archive after backing up `/home/rurouni/.openclaw/workspace/memory`.\n- Synced stale `.openclaw/workspace` identity/persona files from root copies so fallback workspace context does not regress to generic/bootstrap persona.\n- Pruned stale duplicate short-term recall entry for the old `memory/2026-05-03.md:21:30` line range after the daily note grew to line 34.\n- Remaining non-memory issue: `openclaw doctor` reports orphan transcript files under `~/.openclaw/agents/main/sessions`; do not run broad `doctor --fix` without Raymond approving.\n- Consolidated the older duplicate OpenClaw workspace memory/persona set from `.openclaw/workspace` into active `/home/rurouni`: copied the compact `2026-05-02.md` note and raw preserved fragments, then moved the legacy workspace to `/home/rurouni/backups/removed-legacy-openclaw-workspace-20260503-014443` instead of deleting it.\n\n## System / storage audit\n\n- Raymond moved backup storage from root disk to the actual backup drive: `/home/rurouni/backups` is now a compatibility symlink to `/backup/rurouni/openclaw-backups` on `/dev/sdb1` ext4; backup contents verified there.\n- Drive layout verified: `/` and `/home/rurouni` on NVMe ext4; `/backup` and `/archive` each on separate Hitachi HDD ext4 mounts; `/models` on Samsung SSD ext4; `/data` on RAID0 ext4 from two Intel SSDs; `/dev/shm/ai-hot` tmpfs 16G.\n- Read-only audit found disks spacious, no inode pressure, no failed systemd units, no kernel warning/errors in journal, and OpenClaw update status up to date (`2026.5.2`).\n- Noted risk/context items without changing them: no host firewall package/rules detected, SSH/nginx/OpenClaw/llama services listen on LAN, Gateway LAN bind is intentional behind OPNsense, OpenClaw auth rate limiting remains unset by user choice for now, `tools.elevated` enabled for Raymond’s Telegram ID, Docker group grants root-equivalent host capability to the `rurouni` user.\n- Memory layout remains compact: active markdown memories are only `MEMORY.md`, `memory/2026-05-02.md`, and `memory/2026-05-03.md`; raw fragments remain `.txt` under `memory/archive/raw`; `.dreams` recall artifacts are present but small.\n- Remaining cleanup candidates: 19 orphan transcript `.jsonl` files reported by `openclaw doctor`, optional OpenClaw auth rate limiting, optional host firewall/OPNsense-aligned rules, optional unattended security updates, optional backup snapshot strategy, and optional `smartmontools`/disk health checks.\n- Raymond approved running `openclaw doctor --fix`; ran both `openclaw doctor --fix` and `openclaw doctor --fix --yes`. Doctor refreshed the plugin registry and installed shell completion, but still reported 20 orphan transcript files afterward; no `.jsonl.deleted.*` archive files were created. Manual archiving should be treated as a separate cleanup decision.\n\n## OpenClaw model failure investigation\n\n- Raymond asked to continue full audit and specifically diagnose why the `local` AI caused a compaction loop and why MiniMax failed with “Something went wrong while processing your request.”\n- Current config snapshot before deeper diagnosis: default primary model `openai-codex/gpt-5.5`; fallback `openrouter/minimax/minimax-m2.7`; aliases include `local -> llamacpp/Qwen3.5-4B-Q8_0.gguf` and `MiniMax -> openrouter/minimax/minimax-m2.7`.\n- Local llama.cpp provider is configured at `http://127.0.0.1:8081/v1` with model contextWindow `32768`, maxTokens `8192`, while global `agents.defaults.contextTokens` remains `128000` and compaction reserve floor `24000`.\n- Likely local compaction-loop hypothesis to verify after compaction: global context budget/reserve is oversized for local model’s 32k window, leaving very little or impossible usable context after injected workspace/system context; `localModelLean: true` may help but may not fully override global compaction math.\n- MiniMax issue to verify after compaction: config uses `openrouter/minimax/minimax-m2.7` (alias MiniMax), while Raymond mentioned “mini max 2.6”; possible model-id mismatch, OpenRouter auth/routing failure, or unavailable model. Need inspect OpenClaw logs/provider errors rather than guess.\n"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":1528,"output":1634,"cacheRead":12800,"cacheWrite":0,"totalTokens":15962,"cost":{"input":0.007640000000000001,"output":0.04902,"cacheRead":0.0063999999999999994,"cacheWrite":0,"total":0.06306}},"stopReason":"toolUse","timestamp":1777828089399,"responseId":"resp_04a3faafc36e14ce0169f780f9c7a481908a57138ebdcc9996"}} {"type":"message","id":"222d0410","parentId":"37dc8d3c","timestamp":"2026-05-03T17:08:42.399Z","message":{"role":"toolResult","toolCallId":"call_s5PqyGFFCI1O5REttEgMHtml|fc_04a3faafc36e14ce0169f780fbe208819090f5ad48e01512b0","toolName":"write","content":[{"type":"text","text":"Appended content to memory/2026-05-03.md."}],"details":{"path":"memory/2026-05-03.md","appendOnly":true},"isError":false,"timestamp":1777828122399}} {"type":"message","id":"630ace1c","parentId":"222d0410","timestamp":"2026-05-03T17:08:44.482Z","message":{"role":"user","content":[{"type":"text","text":"What’s better parallel 1 or 2?"}],"timestamp":1777828124481}} {"type":"custom_message","customType":"openclaw.runtime-context","content":"Conversation info (untrusted metadata):\n```json\n{\n \"chat_id\": \"telegram:7229867039\",\n \"message_id\": \"1313\",\n \"sender_id\": \"7229867039\",\n \"sender\": \"Raymond\",\n \"timestamp\": \"Sun 2026-05-03 10:08 PDT\"\n}\n```\n\nSender (untrusted metadata):\n```json\n{\n \"label\": \"Raymond (7229867039)\",\n \"id\": \"7229867039\",\n \"name\": \"Raymond\"\n}\n```","display":false,"details":{"source":"openclaw-runtime-context"},"id":"c483850d","parentId":"630ace1c","timestamp":"2026-05-03T17:08:44.484Z"} {"type":"message","id":"84e3d4e1","parentId":"c483850d","timestamp":"2026-05-03T17:08:47.953Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_04a3faafc36e14ce0169f7811e9d708190823ce94a097315d7\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp94EfrxkYSogm0lK5Go4H7ldKtIwe-nijUIMd2JP02rDKSzBMN_goofi3ZLaMupk1bFdWXLZ43w3GcXRgNi4Gsk1C262PPiFZRaRcxoXkd3p7A28lYt9LasL87k7tlM7FwnafVzvQ1eKhJVOO7bFeYiuf6oYppw_NhZTsgVyuMHZX9pWfW7SedSM-nJauwP2clRdKYk6ceaaBMfw_676zvbDyI4wrnRfP4DA8xhc4k6yu6NFu5YjZs74GS6REZ8aFLGPT72WWRfysr_Pucc53sa0nyrfYyQ-hoevBjUAyqCgnQHsJj5HVsL-6vu6NERV-egi3VJUY97Pqeu0FkCztKtOlMsmUPZuwgpNh3nbUft_0gJRcwaRQf3dDbEvLXWb9IIdwDjEtnBecOoqzl9KAu5nS8U5vweySrhA3nATSiGHkDke4kwX6LvUYE0DiMqa8_bDhdPp_lVMWjSbTXMip9v2KaL32jHxMn4HDDEbT1gd0PzRNxkZ3pJCzJFnfwKoNIoPkHz_kwFsJVJIW-dONvo_hiMK-iEDfxHcpUkFe_V5Eqg6a6eL--WqUhfzf4XVrWIA1dO6EbhiKA6rh5vLBYgVlB_PoUZewqS-FjOnV7SGU4KOSN0ABOd3Do2OeRWU6rcAzfWcc7F7YjaXRMKWisxS2FZAZ_WhrIFV8y6raiq1JpBXR6AgWcWAq1ColbmYngY7uUJRzBN7MdNvYlCXnBu_IvNjFXWPc72T6p_7tYv3ds5LYpBXAEmYP06jsesyBQhYo4JBGk-kg8K8iDETFOXJSvq39VjLQ-GApr7LdVoPr1a-XtQ9E-84ldcsIRf0ar0BdTRoUGAQ_xzD_Uqyz0e0xXRRV0Ztu4cKjrHcOxOyDJUPWUcE337m2V0ovc9CsneEWUS49AoI3kS5kiwFkcVV_UXulCMl0TGdBc-SMPZsgGVW8AXS4HZIkEHaiyIAFWfdQv0pGz7qCSnsVjmROZVO1tM_i9-FZm-6998VIzpmvaG7oTRm3EIFSr3a-EG5Q009GzuzE3tq3nQraaNU5oKr3K5LE9GiZ8x_rOCab4IJDk5A6cII1dYl03PiIk4U9K2Tx\",\"summary\":[]}"},{"type":"toolCall","id":"call_fiZRmu6YZcagvcZQ7yCODBLW|fc_04a3faafc36e14ce0169f7811f1a5c8190aba441b024f6f2d7","name":"memory_search","arguments":{"query":"llama.cpp parallel 2 local compaction loop Qwen context slot n_ctx_slot 16384","maxResults":3,"corpus":"all"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":34384,"output":76,"cacheRead":11776,"cacheWrite":0,"totalTokens":46236,"cost":{"input":0.17192000000000002,"output":0.00228,"cacheRead":0.005888,"cacheWrite":0,"total":0.18008800000000003}},"stopReason":"toolUse","timestamp":1777828124484,"responseId":"resp_04a3faafc36e14ce0169f7811cc73c8190be2588c88765916c"}} {"type":"message","id":"60c79735","parentId":"84e3d4e1","timestamp":"2026-05-03T17:08:48.287Z","message":{"role":"toolResult","toolCallId":"call_fiZRmu6YZcagvcZQ7yCODBLW|fc_04a3faafc36e14ce0169f7811f1a5c8190aba441b024f6f2d7","toolName":"memory_search","content":[{"type":"text","text":"{\n \"results\": [\n {\n \"id\": \"e1980b33b8943bd26aeda0f13944bc0457c55063cc08dbc09773aa44e7f71824\",\n \"path\": \"memory/2026-05-03.md\",\n \"startLine\": 94,\n \"endLine\": 99,\n \"score\": 1,\n \"textScore\": 0.5907419590071968,\n \"snippet\": \"- Raymond asked to continue full audit and specifically diagnose why the `local` AI caused a compaction loop and why MiniMax failed with “Something went wrong while processing your request.”\\n- Current config snapshot before deeper diagnosis: default primary model `openai-codex/gpt-5.5`; fallback `openrouter/minimax/minimax-m2.7`; aliases include `local -> llamacpp/Qwen3.5-4B-Q8_0.gguf` and `MiniMax -> openrouter/minimax/minimax-m2.7`.\\n- Local llama.cpp provider is configured at `http://127.0.0.1:8081/v1` with model contextWindow `32768`, maxTokens `8192`, while global `agents.defaults.contextTokens` remains `128000` and compaction reserve floor `24000`.\\n- Likely local compaction-loop hypothe\\n\\nSource: memory/2026-05-03.md#L94-L99\",\n \"source\": \"memory\",\n \"citation\": \"memory/2026-05-03.md#L94-L99\",\n \"corpus\": \"memory\"\n },\n {\n \"id\": \"0a4ab6d0a3236e2a94e5102bc7752a480080180a54e2ac2ffd863c41a785ed0b\",\n \"path\": \"memory/2026-05-03.md\",\n \"startLine\": 85,\n \"endLine\": 89,\n \"score\": 1,\n \"textScore\": 0.5830349405661778,\n \"snippet\": \"- Drive layout verified: `/` and `/home/rurouni` on NVMe ext4; `/backup` and `/archive` each on separate Hitachi HDD ext4 mounts; `/models` on Samsung SSD ext4; `/data` on RAID0 ext4 from two Intel SSDs; `/dev/shm/ai-hot` tmpfs 16G.\\n- Read-only audit found disks spacious, no inode pressure, no failed systemd units, no kernel warning/errors in journal, and OpenClaw update status up to date (`2026.5.2`).\\n- Noted risk/context items without changing them: no host firewall package/rules detected, SSH/nginx/OpenClaw/llama services listen on LAN, Gateway LAN bind is intentional behind OPNsense, OpenClaw auth rate limiting remains unset by user choice for now, `tools.elevated` enabled for Raymond’s\\n\\nSource: memory/2026-05-03.md#L85-L89\",\n \"source\": \"memory\",\n \"citation\": \"memory/2026-05-03.md#L85-L89\",\n \"corpus\": \"memory\"\n },\n {\n \"id\": \"b3f13588512d905a49ad50fbc2080b690028ecd4a1701e828d8d90dadcb1dde1\",\n \"path\": \"memory/2026-05-03.md\",\n \"startLine\": 39,\n \"endLine\": 44,\n \"score\": 1,\n \"textScore\": 0.5656403245472376,\n \"snippet\": \"- Raymond moved backup storage from root disk to the actual backup drive: `/home/rurouni/backups` is now a compatibility symlink to `/backup/rurouni/openclaw-backups` on `/dev/sdb1` ext4; backup contents verified there.\\n- Drive layout verified: `/` and `/home/rurouni` on NVMe ext4; `/backup` and `/archive` each on separate Hitachi HDD ext4 mounts; `/models` on Samsung SSD ext4; `/data` on RAID0 ext4 from two Intel SSDs; `/dev/shm/ai-hot` tmpfs 16G.\\n- Read-only audit found disks spacious, no inode pressure, no failed systemd units, no kernel warning/errors in journal, and OpenClaw update status up to date (`2026.5.2`).\\n- Noted risk/context items without changing them: no host firewall package\\n\\nSource: memory/2026-05-03.md#L39-L44\",\n \"source\": \"memory\",\n \"citation\": \"memory/2026-05-03.md#L39-L44\",\n \"corpus\": \"memory\"\n }\n ],\n \"provider\": \"none\",\n \"citations\": \"auto\",\n \"debug\": {\n \"backend\": \"builtin\",\n \"effectiveMode\": \"n/a\",\n \"searchMs\": 284,\n \"hits\": 3\n }\n}"}],"details":{"results":[{"id":"e1980b33b8943bd26aeda0f13944bc0457c55063cc08dbc09773aa44e7f71824","path":"memory/2026-05-03.md","startLine":94,"endLine":99,"score":1,"textScore":0.5907419590071968,"snippet":"- Raymond asked to continue full audit and specifically diagnose why the `local` AI caused a compaction loop and why MiniMax failed with “Something went wrong while processing your request.”\n- Current config snapshot before deeper diagnosis: default primary model `openai-codex/gpt-5.5`; fallback `openrouter/minimax/minimax-m2.7`; aliases include `local -> llamacpp/Qwen3.5-4B-Q8_0.gguf` and `MiniMax -> openrouter/minimax/minimax-m2.7`.\n- Local llama.cpp provider is configured at `http://127.0.0.1:8081/v1` with model contextWindow `32768`, maxTokens `8192`, while global `agents.defaults.contextTokens` remains `128000` and compaction reserve floor `24000`.\n- Likely local compaction-loop hypothe\n\nSource: memory/2026-05-03.md#L94-L99","source":"memory","citation":"memory/2026-05-03.md#L94-L99","corpus":"memory"},{"id":"0a4ab6d0a3236e2a94e5102bc7752a480080180a54e2ac2ffd863c41a785ed0b","path":"memory/2026-05-03.md","startLine":85,"endLine":89,"score":1,"textScore":0.5830349405661778,"snippet":"- Drive layout verified: `/` and `/home/rurouni` on NVMe ext4; `/backup` and `/archive` each on separate Hitachi HDD ext4 mounts; `/models` on Samsung SSD ext4; `/data` on RAID0 ext4 from two Intel SSDs; `/dev/shm/ai-hot` tmpfs 16G.\n- Read-only audit found disks spacious, no inode pressure, no failed systemd units, no kernel warning/errors in journal, and OpenClaw update status up to date (`2026.5.2`).\n- Noted risk/context items without changing them: no host firewall package/rules detected, SSH/nginx/OpenClaw/llama services listen on LAN, Gateway LAN bind is intentional behind OPNsense, OpenClaw auth rate limiting remains unset by user choice for now, `tools.elevated` enabled for Raymond’s\n\nSource: memory/2026-05-03.md#L85-L89","source":"memory","citation":"memory/2026-05-03.md#L85-L89","corpus":"memory"},{"id":"b3f13588512d905a49ad50fbc2080b690028ecd4a1701e828d8d90dadcb1dde1","path":"memory/2026-05-03.md","startLine":39,"endLine":44,"score":1,"textScore":0.5656403245472376,"snippet":"- Raymond moved backup storage from root disk to the actual backup drive: `/home/rurouni/backups` is now a compatibility symlink to `/backup/rurouni/openclaw-backups` on `/dev/sdb1` ext4; backup contents verified there.\n- Drive layout verified: `/` and `/home/rurouni` on NVMe ext4; `/backup` and `/archive` each on separate Hitachi HDD ext4 mounts; `/models` on Samsung SSD ext4; `/data` on RAID0 ext4 from two Intel SSDs; `/dev/shm/ai-hot` tmpfs 16G.\n- Read-only audit found disks spacious, no inode pressure, no failed systemd units, no kernel warning/errors in journal, and OpenClaw update status up to date (`2026.5.2`).\n- Noted risk/context items without changing them: no host firewall package\n\nSource: memory/2026-05-03.md#L39-L44","source":"memory","citation":"memory/2026-05-03.md#L39-L44","corpus":"memory"}],"provider":"none","citations":"auto","debug":{"backend":"builtin","effectiveMode":"n/a","searchMs":284,"hits":3}},"isError":false,"timestamp":1777828128286}} {"type":"message","id":"3c60f8e1","parentId":"60c79735","timestamp":"2026-05-03T17:10:07.228Z","message":{"role":"user","content":[{"type":"text","text":"Let’s use parallel 1 and also let’s increase the context i believe we have enough headroom look it up"}],"timestamp":1777828207227}} {"type":"custom_message","customType":"openclaw.runtime-context","content":"Conversation info (untrusted metadata):\n```json\n{\n \"chat_id\": \"telegram:7229867039\",\n \"message_id\": \"1315\",\n \"sender_id\": \"7229867039\",\n \"sender\": \"Raymond\",\n \"timestamp\": \"Sun 2026-05-03 10:10 PDT\"\n}\n```\n\nSender (untrusted metadata):\n```json\n{\n \"label\": \"Raymond (7229867039)\",\n \"id\": \"7229867039\",\n \"name\": \"Raymond\"\n}\n```","display":false,"details":{"source":"openclaw-runtime-context"},"id":"45ddab95","parentId":"3c60f8e1","timestamp":"2026-05-03T17:10:07.230Z"} {"type":"message","id":"34baa6a8","parentId":"45ddab95","timestamp":"2026-05-03T17:10:14.943Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_04a3faafc36e14ce0169f78171d02c81908584bcad8507f076\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp94F04Xa5OhUUOY9zutt3Y9KaPhOo_b4LZeUUhjrNBGdswyCfzrhr9sPw2MCvVxEYYG5CEKCa-H_G13G1CGVv8NSZ3oqieknjgMEu7wli7OEzyAyFJtHhynzcGcZ8tpEDRSPw8RkgzokuAd60Tc17DrgnFvuT5g0G7cOp5dxOGR96gMQlKH99jMxHCxthTagwpXe36KwDEUw9Tnu5MtxdF4gKNT00Tj7VCaC2Qa8uxnBjYqU-vduOCjSEWhVUM9wwOy2texR7k7tMtdH2yrB-ppwd7ANCc5HMuFwOo3gOdoe4Z5sQgjnpXzCfU1Ot4al5U-TZj0_2lufHz-5p4R6p999LxC-rwuFRHU5y9JwUZtzDRa4IJz4p5e7NMKuLc_UeUZowSG_FfY9w_3_iZXd4VjdnEQbxvqVyeCtpEi2ZjE9wPkrjdJlvC8jgOZIManNs8Xe0wzT2ghdTezhYdSHAvFGwuvCLI8Ge5LfAVSe-J9_kbgceX4RxTJMGF0mHhFe7feM9-Po_mlqOPwSdgNL_ZjpnioOWvSOEVlPilLhI06mXZQQeFDERSJSlJU3sS-IHLbcJf2Xi2bX1iQ6aSL5DHXpjYWacr7gSXdsX6FirDw_8nbiz91VshjMajnDvLsg7a-3lqEauXojTsYYr2diEXMzQQYigjabNR98wywSqcV9r6_5l7JEgwTozi5KQnLVFwR8mYyyXpfp4wP6HGvt3SdQBI7fiXTC5mcY51hZNilGOtZ10xYtup1naEGp64Pev2Fj7KxCHKfhAXMt3KHCZW_MBsaaxjritG-FyPqyNMy4GwguEaA1KYjPMP4eKXdDg3F4x969IbA6vt7VWLEzJtSSUvrDat9S0C1Do2VzuRHSRD1UWSBY5gIbI_JirO1Kzm_BFUp9eFqPqqEb1EJSnQ9MP-3MwcQ_elCpK0qWo8xLRUlFczBLAO9pDl12zBLsW2Uwll7s3nuiap8DcRheBjzD7g89KLY1jBW2atbZfBfSRFYJpc6XZf29eFEOylo5CRibu4EHfAMB-OW6gP_vl6E7cyZME3XD1D0LXHEF_9BhS-gnCYrJdde5Wrmvf0RKS-FWUQbs3hYaVH7Kb_zN3P74_ZQLpc1iQJyCaOZrUMrGq9UQgUGQoZhhjHoAuhLufNdYmlAL2ZcK_qDbo7DPEildylhdZNzblA7ssatP43JzzUpcVuDJYm2hdoo39tMrKAYoRgRQrKIm6U8DB6sXGFwSVnKO-hBxT7qqIQ361_aX21OixM1Zqms3ymEbgZJRyMGUfrSgkOFj75bt-KMRKQud526aLQAkNDtvv3qnsePplP8fVp79oEz2OJV7xY4T8hX6PUsnqDz37xY6GZkKqfff_LQ==\",\"summary\":[]}"},{"type":"text","text":"Bet. Parallel 1 is the cleaner choice here: with `--parallel 2`, llama.cpp split your `--ctx-size 32768` into **16,384 tokens per slot**, which is exactly why local got cooked. I’ll verify safe headroom, then tune it.","textSignature":"{\"v\":1,\"id\":\"msg_04a3faafc36e14ce0169f781743c5c8190b69553f5110c00f4\",\"phase\":\"commentary\"}"},{"type":"toolCall","id":"call_1bzGbhOsfoqWKyzKED6w9YmQ|fc_04a3faafc36e14ce0169f78175ac688190a8e074f174f81243","name":"update_plan","arguments":{"plan":[{"step":"Check llama service and hardware headroom","status":"in_progress"},{"step":"Look up ctx/parallel behavior","status":"pending"},{"step":"Adjust llama parallel/context safely","status":"pending"},{"step":"Restart and verify effective slot context","status":"pending"}]}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":35567,"output":214,"cacheRead":11776,"cacheWrite":0,"totalTokens":47557,"cost":{"input":0.17783500000000002,"output":0.00642,"cacheRead":0.005888,"cacheWrite":0,"total":0.19014300000000003}},"stopReason":"toolUse","timestamp":1777828207230,"responseId":"resp_04a3faafc36e14ce0169f7816f8c348190a43a2760d4237d21"}} {"type":"message","id":"2dadb512","parentId":"34baa6a8","timestamp":"2026-05-03T17:10:15.024Z","message":{"role":"toolResult","toolCallId":"call_1bzGbhOsfoqWKyzKED6w9YmQ|fc_04a3faafc36e14ce0169f78175ac688190a8e074f174f81243","toolName":"update_plan","content":[],"details":{"status":"updated","plan":[{"step":"Check llama service and hardware headroom","status":"in_progress"},{"step":"Look up ctx/parallel behavior","status":"pending"},{"step":"Adjust llama parallel/context safely","status":"pending"},{"step":"Restart and verify effective slot context","status":"pending"}]},"isError":false,"timestamp":1777828215023}} {"type":"message","id":"cdbeec9c","parentId":"2dadb512","timestamp":"2026-05-03T17:10:21.621Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_o7ZO5eGJCM7kED89clJF1V68|fc_04a3faafc36e14ce0169f7817d7a788190b6273d71982919ee","name":"exec","arguments":{"command":"free -h && echo '--- GPU ---' && (nvidia-smi 2>/dev/null || rocm-smi 2>/dev/null || lspci | grep -Ei 'vga|3d|display') && echo '--- llama proc ---' && ps -eo pid,user,comm,args | grep -Ei 'llama-server|llamacpp' | grep -v grep","workdir":"/home/rurouni","yieldMs":10000,"timeout":30}},{"type":"toolCall","id":"call_gndjVyrX1i8nLA4FJAJci5YR|fc_04a3faafc36e14ce0169f7817d7a88819080a0b322c62dea4e","name":"exec","arguments":{"command":"systemctl list-units --all --type=service --no-pager | grep -Ei 'llama|openclaw|ai|model' || true\nprintf '\\n--- user units ---\\n'\nsystemctl --user list-units --all --type=service --no-pager | grep -Ei 'llama|openclaw|ai|model' || true\nprintf '\\n--- unit files ---\\n'\nsystemctl list-unit-files --no-pager | grep -Ei 'llama|openclaw|ai|model' || true\nsystemctl --user list-unit-files --no-pager | grep -Ei 'llama|openclaw|ai|model' || true","workdir":"/home/rurouni","yieldMs":10000,"timeout":30}},{"type":"toolCall","id":"call_WpgzwjgGo5IFuMOv54fUNHyZ|fc_04a3faafc36e14ce0169f7817d7a908190afe4c9e696f86059","name":"web_search","arguments":{"query":"llama.cpp server --parallel ctx-size divided per slot n_ctx_slot"}},{"type":"toolCall","id":"call_F0rF9monVTGHVJFGI19hPfgB|fc_04a3faafc36e14ce0169f7817d7a9881909b30f99c564719df","name":"web_search","arguments":{"query":"llama.cpp server increase context size kv cache memory q8_0 cache-type-k cache-type-v"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":469,"output":376,"cacheRead":47104,"cacheWrite":0,"totalTokens":47949,"cost":{"input":0.0023450000000000003,"output":0.01128,"cacheRead":0.023552,"cacheWrite":0,"total":0.037177}},"stopReason":"toolUse","timestamp":1777828215027,"responseId":"resp_04a3faafc36e14ce0169f7817759a4819081a7c64c3e10e589"}} {"type":"message","id":"1a3576e7","parentId":"cdbeec9c","timestamp":"2026-05-03T17:10:23.526Z","message":{"role":"toolResult","toolCallId":"call_o7ZO5eGJCM7kED89clJF1V68|fc_04a3faafc36e14ce0169f7817d7a788190b6273d71982919ee","toolName":"exec","content":[{"type":"text","text":"total used free shared buff/cache available\nMem: 62Gi 7.1Gi 32Gi 108Mi 23Gi 55Gi\nSwap: 12Gi 256Ki 12Gi\n--- GPU ---\nSun May 3 10:10:22 2026 \n+-----------------------------------------------------------------------------------------+\n| NVIDIA-SMI 550.163.01 Driver Version: 550.163.01 CUDA Version: 12.4 |\n|-----------------------------------------+------------------------+----------------------+\n| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |\n| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |\n| | | MIG M. |\n|=========================================+========================+======================|\n| 0 NVIDIA GeForce GTX 1080 Ti Off | 00000000:03:00.0 Off | N/A |\n| 18% 33C P8 17W / 280W | 5655MiB / 11264MiB | 0% Default |\n| | | N/A |\n+-----------------------------------------+------------------------+----------------------+\n \n+-----------------------------------------------------------------------------------------+\n| Processes: |\n| GPU GI CI PID Type Process name GPU Memory |\n| ID ID Usage |\n|=========================================================================================|\n| 0 N/A N/A 37857 C /usr/local/bin/llama-server 5650MiB |\n+-----------------------------------------------------------------------------------------+\n--- llama proc ---\n 37857 root llama-server /usr/local/bin/llama-server --model /models/gguf/Qwen3.5-4B-Q8_0.gguf --port 8081 --host 0.0.0.0 --ctx-size 32768 --n-gpu-layers 99 --batch-size 512 --ubatch-size 512 --threads 16 --parallel 2 --cont-batching --cache-type-k q8_0 --cache-type-v q8_0 --log-file /data/logs/llama/server.log"}],"details":{"status":"completed","exitCode":0,"durationMs":53,"aggregated":"total used free shared buff/cache available\nMem: 62Gi 7.1Gi 32Gi 108Mi 23Gi 55Gi\nSwap: 12Gi 256Ki 12Gi\n--- GPU ---\nSun May 3 10:10:22 2026 \n+-----------------------------------------------------------------------------------------+\n| NVIDIA-SMI 550.163.01 Driver Version: 550.163.01 CUDA Version: 12.4 |\n|-----------------------------------------+------------------------+----------------------+\n| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |\n| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |\n| | | MIG M. |\n|=========================================+========================+======================|\n| 0 NVIDIA GeForce GTX 1080 Ti Off | 00000000:03:00.0 Off | N/A |\n| 18% 33C P8 17W / 280W | 5655MiB / 11264MiB | 0% Default |\n| | | N/A |\n+-----------------------------------------+------------------------+----------------------+\n \n+-----------------------------------------------------------------------------------------+\n| Processes: |\n| GPU GI CI PID Type Process name GPU Memory |\n| ID ID Usage |\n|=========================================================================================|\n| 0 N/A N/A 37857 C /usr/local/bin/llama-server 5650MiB |\n+-----------------------------------------------------------------------------------------+\n--- llama proc ---\n 37857 root llama-server /usr/local/bin/llama-server --model /models/gguf/Qwen3.5-4B-Q8_0.gguf --port 8081 --host 0.0.0.0 --ctx-size 32768 --n-gpu-layers 99 --batch-size 512 --ubatch-size 512 --threads 16 --parallel 2 --cont-batching --cache-type-k q8_0 --cache-type-v q8_0 --log-file /data/logs/llama/server.log","cwd":"/home/rurouni"},"isError":false,"timestamp":1777828223526}} {"type":"message","id":"59c65a28","parentId":"1a3576e7","timestamp":"2026-05-03T17:10:23.527Z","message":{"role":"toolResult","toolCallId":"call_gndjVyrX1i8nLA4FJAJci5YR|fc_04a3faafc36e14ce0169f7817d7a88819080a0b322c62dea4e","toolName":"exec","content":[{"type":"text","text":"apt-daily-upgrade.service loaded inactive dead Daily apt upgrade and clean activities\n apt-daily.service loaded inactive dead Daily apt download activities\n containerd.service loaded active running containerd container runtime\n docker.service loaded active running Docker Application Container Engine\n dpkg-db-backup.service loaded inactive dead Daily dpkg database backup service\n getty-static.service loaded inactive dead getty on tty2-tty6 if dbus and logind are not available\n llama-server.service loaded active running llama.cpp server (GTX 1080 Ti / sm61)\n man-db.service loaded inactive dead Daily man-db regeneration\n networking.service loaded active exited Raise network interfaces\n● plymouth-quit-wait.service not-found inactive dead plymouth-quit-wait.service\n systemd-udev-settle.service loaded inactive dead Wait for udev To Complete Device Initialization\n\n--- user units ---\n openclaw-gateway.service loaded active running OpenClaw Gateway (v2026.5.2)\n\n--- unit files ---\ndev-shm-ai\\x2dhot.mount generated -\nmodels.mount generated -\napt-daily-upgrade.service static -\napt-daily.service static -\ncontainer-getty@.service static -\ncontainerd.service enabled enabled\ne2scrub_fail@.service static -\nifupdown-wait-online.service disabled enabled\nllama-server.service enabled enabled\nsystemd-boot-check-no-failures.service disabled disabled\nsystemd-networkd-wait-online.service disabled enabled\nsystemd-networkd-wait-online@.service disabled enabled\nsystemd-time-wait-sync.service disabled disabled\napt-daily-upgrade.timer enabled enabled\napt-daily.timer enabled enabled\nopenclaw-gateway.service enabled enabled"}],"details":{"status":"completed","exitCode":0,"durationMs":496,"aggregated":"apt-daily-upgrade.service loaded inactive dead Daily apt upgrade and clean activities\n apt-daily.service loaded inactive dead Daily apt download activities\n containerd.service loaded active running containerd container runtime\n docker.service loaded active running Docker Application Container Engine\n dpkg-db-backup.service loaded inactive dead Daily dpkg database backup service\n getty-static.service loaded inactive dead getty on tty2-tty6 if dbus and logind are not available\n llama-server.service loaded active running llama.cpp server (GTX 1080 Ti / sm61)\n man-db.service loaded inactive dead Daily man-db regeneration\n networking.service loaded active exited Raise network interfaces\n● plymouth-quit-wait.service not-found inactive dead plymouth-quit-wait.service\n systemd-udev-settle.service loaded inactive dead Wait for udev To Complete Device Initialization\n\n--- user units ---\n openclaw-gateway.service loaded active running OpenClaw Gateway (v2026.5.2)\n\n--- unit files ---\ndev-shm-ai\\x2dhot.mount generated -\nmodels.mount generated -\napt-daily-upgrade.service static -\napt-daily.service static -\ncontainer-getty@.service static -\ncontainerd.service enabled enabled\ne2scrub_fail@.service static -\nifupdown-wait-online.service disabled enabled\nllama-server.service enabled enabled\nsystemd-boot-check-no-failures.service disabled disabled\nsystemd-networkd-wait-online.service disabled enabled\nsystemd-networkd-wait-online@.service disabled enabled\nsystemd-time-wait-sync.service disabled disabled\napt-daily-upgrade.timer enabled enabled\napt-daily.timer enabled enabled\nopenclaw-gateway.service enabled enabled","cwd":"/home/rurouni"},"isError":false,"timestamp":1777828223526}} {"type":"message","id":"6c35d9b7","parentId":"59c65a28","timestamp":"2026-05-03T17:10:23.528Z","message":{"role":"toolResult","toolCallId":"call_WpgzwjgGo5IFuMOv54fUNHyZ|fc_04a3faafc36e14ce0169f7817d7a908190afe4c9e696f86059","toolName":"web_search","content":[{"type":"text","text":"{\n \"query\": \"llama.cpp server --parallel ctx-size divided per slot n_ctx_slot\",\n \"provider\": \"duckduckgo\",\n \"count\": 5,\n \"tookMs\": 1013,\n \"externalContent\": {\n \"untrusted\": true,\n \"source\": \"web_search\",\n \"provider\": \"duckduckgo\",\n \"wrapped\": true\n },\n \"results\": [\n {\n \"title\": \"\\n<<>>\\nSource: Web Search\\n---\\nParallelization / Batching Explanation · ggml-org llama.cpp ...\\n<<>>\",\n \"url\": \"https://github.com/ggml-org/llama.cpp/discussions/4130\",\n \"snippet\": \"\\n<<>>\\nSource: Web Search\\n---\\nHi All, I'm seeking clarity on the functionality of the -- parallel option in /app/ server , especially how it interacts with the --cont-batching parameter. My specific observation involves setting -- ctx-size to 8192 and -- parallel to 32. From the logs, it appears there are 32 slots , each handling a context segment of 256. My question is: Does this configuration imply that each slot processes a ...\\n<<>>\",\n \"siteName\": \"github.com\"\n },\n {\n \"title\": \"\\n<<>>\\nSource: Web Search\\n---\\nConfiguration and Parameters | ggml-org/llama.cpp | DeepWiki\\n<<>>\",\n \"url\": \"https://deepwiki.com/ggml-org/llama.cpp/2.3-configuration-and-parameters\",\n \"snippet\": \"\\n<<>>\\nSource: Web Search\\n---\\nConfiguration and Parameters Relevant source files This page documents llama.cpp's configuration system, including the common_params structure, context parameters (n_ctx, n_batch, n_threads), sampling parameters (temperature, top_k, top_p), and how parameters flow from command-line arguments through the system to control inference behavior. Parameter Sources llama.cpp supports multiple sources ...\\n<<>>\",\n \"siteName\": \"deepwiki.com\"\n },\n {\n \"title\": \"\\n<<>>\\nSource: Web Search\\n---\\nexamples/server/README.md · hranharry/llama.cpp - Gitee.com\\n<<>>\",\n \"url\": \"https://gitee.com/OnePixel/llama.cpp/blob/master/examples/server/README.md\",\n \"snippet\": \"\\n<<>>\\nSource: Web Search\\n---\\nLLaMA.cpp HTTP Server Fast, lightweight, pure C/C++ HTTP server based on httplib, nlohmann::json and llama.cpp . Set of LLM REST APIs and a simple web front end to interact with llama.cpp . Features: LLM inference of F16 and quantum models on GPU and CPU OpenAI API compatible chat completions and embeddings routes Parallel decoding with multi-user support Continuous batching Multimodal (wip ...\\n<<>>\",\n \"siteName\": \"gitee.com\"\n },\n {\n \"title\": \"\\n<<>>\\nSource: Web Search\\n---\\nWhat is the significance of n_ctx ? : r/LocalLLaMA - Reddit\\n<<>>\",\n \"url\": \"https://www.reddit.com/r/LocalLLaMA/comments/14eznwk/what_is_the_significance_of_n_ctx/\",\n \"snippet\": \"\\n<<>>\\nSource: Web Search\\n---\\nI would like to know what is the significance of `n_ctx`. I know that i represents the maximum number of tokens that the input sequence can be. But it is given as a parameter which can be set while initializing the model, so that makes me think, if I need to process a longer prompt I will just change it. Having said that, I still have following queries - - Are LLM's developed with an optimal ...\\n<<>>\",\n \"siteName\": \"www.reddit.com\"\n },\n {\n \"title\": \"\\n<<>>\\nSource: Web Search\\n---\\nUnderstanding internals of llama.cpp | siddharth's space\\n<<>>\",\n \"url\": \"https://sidshome.wordpress.com/2023/12/24/understanding-internals-of-llama-cpp/\",\n \"snippet\": \"\\n<<>>\\nSource: Web Search\\n---\\nSummary llama.cpp can only be used to do inference. It cannot be used to do training [1]. LLMs have this thing called maximum context size or window (measured in number of tokens). AFAIU, the entire conversation is cannot exceed this size . In case of llama.cpp you specify this size using the n_ctx parameter. However, note carefully that this is not something you can set to arbitrary value. You ...\\n<<>>\",\n \"siteName\": \"sidshome.wordpress.com\"\n }\n ]\n}"}],"details":{"query":"llama.cpp server --parallel ctx-size divided per slot n_ctx_slot","provider":"duckduckgo","count":5,"tookMs":1013,"externalContent":{"untrusted":true,"source":"web_search","provider":"duckduckgo","wrapped":true},"results":[{"title":"\n<<>>\nSource: Web Search\n---\nParallelization / Batching Explanation · ggml-org llama.cpp ...\n<<>>","url":"https://github.com/ggml-org/llama.cpp/discussions/4130","snippet":"\n<<>>\nSource: Web Search\n---\nHi All, I'm seeking clarity on the functionality of the -- parallel option in /app/ server , especially how it interacts with the --cont-batching parameter. My specific observation involves setting -- ctx-size to 8192 and -- parallel to 32. From the logs, it appears there are 32 slots , each handling a context segment of 256. My question is: Does this configuration imply that each slot processes a ...\n<<>>","siteName":"github.com"},{"title":"\n<<>>\nSource: Web Search\n---\nConfiguration and Parameters | ggml-org/llama.cpp | DeepWiki\n<<>>","url":"https://deepwiki.com/ggml-org/llama.cpp/2.3-configuration-and-parameters","snippet":"\n<<>>\nSource: Web Search\n---\nConfiguration and Parameters Relevant source files This page documents llama.cpp's configuration system, including the common_params structure, context parameters (n_ctx, n_batch, n_threads), sampling parameters (temperature, top_k, top_p), and how parameters flow from command-line arguments through the system to control inference behavior. Parameter Sources llama.cpp supports multiple sources ...\n<<>>","siteName":"deepwiki.com"},{"title":"\n<<>>\nSource: Web Search\n---\nexamples/server/README.md · hranharry/llama.cpp - Gitee.com\n<<>>","url":"https://gitee.com/OnePixel/llama.cpp/blob/master/examples/server/README.md","snippet":"\n<<>>\nSource: Web Search\n---\nLLaMA.cpp HTTP Server Fast, lightweight, pure C/C++ HTTP server based on httplib, nlohmann::json and llama.cpp . Set of LLM REST APIs and a simple web front end to interact with llama.cpp . Features: LLM inference of F16 and quantum models on GPU and CPU OpenAI API compatible chat completions and embeddings routes Parallel decoding with multi-user support Continuous batching Multimodal (wip ...\n<<>>","siteName":"gitee.com"},{"title":"\n<<>>\nSource: Web Search\n---\nWhat is the significance of n_ctx ? : r/LocalLLaMA - Reddit\n<<>>","url":"https://www.reddit.com/r/LocalLLaMA/comments/14eznwk/what_is_the_significance_of_n_ctx/","snippet":"\n<<>>\nSource: Web Search\n---\nI would like to know what is the significance of `n_ctx`. I know that i represents the maximum number of tokens that the input sequence can be. But it is given as a parameter which can be set while initializing the model, so that makes me think, if I need to process a longer prompt I will just change it. Having said that, I still have following queries - - Are LLM's developed with an optimal ...\n<<>>","siteName":"www.reddit.com"},{"title":"\n<<>>\nSource: Web Search\n---\nUnderstanding internals of llama.cpp | siddharth's space\n<<>>","url":"https://sidshome.wordpress.com/2023/12/24/understanding-internals-of-llama-cpp/","snippet":"\n<<>>\nSource: Web Search\n---\nSummary llama.cpp can only be used to do inference. It cannot be used to do training [1]. LLMs have this thing called maximum context size or window (measured in number of tokens). AFAIU, the entire conversation is cannot exceed this size . In case of llama.cpp you specify this size using the n_ctx parameter. However, note carefully that this is not something you can set to arbitrary value. You ...\n<<>>","siteName":"sidshome.wordpress.com"}]},"isError":false,"timestamp":1777828223526}} {"type":"message","id":"dd272186","parentId":"6c35d9b7","timestamp":"2026-05-03T17:10:23.531Z","message":{"role":"toolResult","toolCallId":"call_F0rF9monVTGHVJFGI19hPfgB|fc_04a3faafc36e14ce0169f7817d7a9881909b30f99c564719df","toolName":"web_search","content":[{"type":"text","text":"{\n \"query\": \"llama.cpp server increase context size kv cache memory q8_0 cache-type-k cache-type-v\",\n \"provider\": \"duckduckgo\",\n \"count\": 5,\n \"tookMs\": 1482,\n \"externalContent\": {\n \"untrusted\": true,\n \"source\": \"web_search\",\n \"provider\": \"duckduckgo\",\n \"wrapped\": true\n },\n \"results\": [\n {\n \"title\": \"\\n<<>>\\nSource: Web Search\\n---\\nMemory Management and KV Cache | ggml-org/llama.cpp | DeepWiki\\n<<>>\",\n \"url\": \"https://deepwiki.com/ggml-org/llama.cpp/3.6-memory-management-and-kv-cache\",\n \"snippet\": \"\\n<<>>\\nSource: Web Search\\n---\\nMemory Management and KV Cache Relevant source files Purpose and Scope This page explains the memory management system in llama.cpp , with a focus on the KV (Key-Value) cache architecture, recurrent memory , and hybrid memory systems. The memory subsystem is responsible for storing the state of the model across inference steps, including attention keys/values and recurrent states (e.g., for ...\\n<<>>\",\n \"siteName\": \"deepwiki.com\"\n },\n {\n \"title\": \"\\n<<>>\\nSource: Web Search\\n---\\nKV Cache: Why Context Length Eats Your VRAM (And How to Fix It)\\n<<>>\",\n \"url\": \"https://insiderllm.com/guides/kv-cache-optimization-guide/\",\n \"snippet\": \"\\n<<>>\\nSource: Web Search\\n---\\nThis is why your model loads fine but OOMs when you start a long conversation. The fastest fixes: reduce context length to what you actually need, enable Q8 KV cache quantization in llama.cpp (halves KV size with minimal quality loss), or use a model with Grouped Query Attention which already cuts KV cache 4-8x compared to older architectures.\\n<<>>\",\n \"siteName\": \"insiderllm.com\"\n },\n {\n \"title\": \"\\n<<>>\\nSource: Web Search\\n---\\nTurbo Quantization Explained: Extending Context Length with llama.cpp's ...\\n<<>>\",\n \"url\": \"https://dasroot.net/posts/2026/04/turbo-quantization-llama-cpp-turbo3-turbo4-context-length/\",\n \"snippet\": \"\\n<<>>\\nSource: Web Search\\n---\\nLearn how Turbo Quantization in llama.cpp's Turbo3 and Turbo4 extends context length on tight memory budgets like 64GB RAM, enabling efficient LLM inference with 4-6x KV cache memory reduction and minimal quality loss.\\n<<>>\",\n \"siteName\": \"dasroot.net\"\n },\n {\n \"title\": \"\\n<<>>\\nSource: Web Search\\n---\\nKV Cache Quantization Benchmarks on DGX Spark — q4_0 vs q8_0 vs f16 ...\\n<<>>\",\n \"url\": \"https://forums.developer.nvidia.com/t/kv-cache-quantization-benchmarks-on-dgx-spark-q4-0-vs-q8-0-vs-f16-llama-cpp-nemotron-30b-128k-context/365138\",\n \"snippet\": \"\\n<<>>\\nSource: Web Search\\n---\\nI spent a night benchmarking KV cache quantization on my DGX Spark running Nemotron-3-Nano-30B-A3B with 128K context via llama.cpp . The results surprised me - sharing them here so others don't have to repeat the experiment. Setup: - DGX Spark (GB10, compute 12.1, 128GB unified, CUDA 13.0, Driver 580.126.09) - llama.cpp build 8399 (aarch64 + CUDA), compiled from source - Nemotron-3-Nano-30B ...\\n<<>>\",\n \"siteName\": \"forums.developer.nvidia.com\"\n },\n {\n \"title\": \"\\n<<>>\\nSource: Web Search\\n---\\nPushing Context Limits with llama.cpp - LLM Garage\\n<<>>\",\n \"url\": \"https://llmgarage.ai/llamacpp-context-limits/\",\n \"snippet\": \"\\n<<>>\\nSource: Web Search\\n---\\nWhy This Matters KV Cache Size : At FP16, Qwen3-32B uses ~0.25MB per 1K tokens 45K Context : ~11GB just for KV cache Available VRAM: 48GB total - 23GB model = 25GB remaining The Bottleneck: FP16 KV cache consumes too much memory Understanding the Memory Math Qwen3-32B Memory Breakdown\\n<<>>\",\n \"siteName\": \"llmgarage.ai\"\n }\n ]\n}"}],"details":{"query":"llama.cpp server increase context size kv cache memory q8_0 cache-type-k cache-type-v","provider":"duckduckgo","count":5,"tookMs":1482,"externalContent":{"untrusted":true,"source":"web_search","provider":"duckduckgo","wrapped":true},"results":[{"title":"\n<<>>\nSource: Web Search\n---\nMemory Management and KV Cache | ggml-org/llama.cpp | DeepWiki\n<<>>","url":"https://deepwiki.com/ggml-org/llama.cpp/3.6-memory-management-and-kv-cache","snippet":"\n<<>>\nSource: Web Search\n---\nMemory Management and KV Cache Relevant source files Purpose and Scope This page explains the memory management system in llama.cpp , with a focus on the KV (Key-Value) cache architecture, recurrent memory , and hybrid memory systems. The memory subsystem is responsible for storing the state of the model across inference steps, including attention keys/values and recurrent states (e.g., for ...\n<<>>","siteName":"deepwiki.com"},{"title":"\n<<>>\nSource: Web Search\n---\nKV Cache: Why Context Length Eats Your VRAM (And How to Fix It)\n<<>>","url":"https://insiderllm.com/guides/kv-cache-optimization-guide/","snippet":"\n<<>>\nSource: Web Search\n---\nThis is why your model loads fine but OOMs when you start a long conversation. The fastest fixes: reduce context length to what you actually need, enable Q8 KV cache quantization in llama.cpp (halves KV size with minimal quality loss), or use a model with Grouped Query Attention which already cuts KV cache 4-8x compared to older architectures.\n<<>>","siteName":"insiderllm.com"},{"title":"\n<<>>\nSource: Web Search\n---\nTurbo Quantization Explained: Extending Context Length with llama.cpp's ...\n<<>>","url":"https://dasroot.net/posts/2026/04/turbo-quantization-llama-cpp-turbo3-turbo4-context-length/","snippet":"\n<<>>\nSource: Web Search\n---\nLearn how Turbo Quantization in llama.cpp's Turbo3 and Turbo4 extends context length on tight memory budgets like 64GB RAM, enabling efficient LLM inference with 4-6x KV cache memory reduction and minimal quality loss.\n<<>>","siteName":"dasroot.net"},{"title":"\n<<>>\nSource: Web Search\n---\nKV Cache Quantization Benchmarks on DGX Spark — q4_0 vs q8_0 vs f16 ...\n<<>>","url":"https://forums.developer.nvidia.com/t/kv-cache-quantization-benchmarks-on-dgx-spark-q4-0-vs-q8-0-vs-f16-llama-cpp-nemotron-30b-128k-context/365138","snippet":"\n<<>>\nSource: Web Search\n---\nI spent a night benchmarking KV cache quantization on my DGX Spark running Nemotron-3-Nano-30B-A3B with 128K context via llama.cpp . The results surprised me - sharing them here so others don't have to repeat the experiment. Setup: - DGX Spark (GB10, compute 12.1, 128GB unified, CUDA 13.0, Driver 580.126.09) - llama.cpp build 8399 (aarch64 + CUDA), compiled from source - Nemotron-3-Nano-30B ...\n<<>>","siteName":"forums.developer.nvidia.com"},{"title":"\n<<>>\nSource: Web Search\n---\nPushing Context Limits with llama.cpp - LLM Garage\n<<>>","url":"https://llmgarage.ai/llamacpp-context-limits/","snippet":"\n<<>>\nSource: Web Search\n---\nWhy This Matters KV Cache Size : At FP16, Qwen3-32B uses ~0.25MB per 1K tokens 45K Context : ~11GB just for KV cache Available VRAM: 48GB total - 23GB model = 25GB remaining The Bottleneck: FP16 KV cache consumes too much memory Understanding the Memory Math Qwen3-32B Memory Breakdown\n<<>>","siteName":"llmgarage.ai"}]},"isError":false,"timestamp":1777828223527}} {"type":"message","id":"ce3ce0f3","parentId":"dd272186","timestamp":"2026-05-03T17:10:33.385Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_04a3faafc36e14ce0169f78182cc5c81909b6efe66f2c69a73\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp94GIUBiOOzIyDuARYgenuBivVhmL7YG3qbpalFAEPX8vjkbW-KU1fX-0giWuF_DPghtRsb2k3_JLPd_4DAy1gv_phDv3nC1Lpf_XlHtoD98Lcne9wQBp7sPXT7Cbblcx7hvvm97C2Ago7Ap-SzVIR2fHEVTNcZs-HERkJrkiAbtcvxAUIvn9LfbDxEDKxk1m1F1JHTGLeEv_lVoyjWp78wvA7nq4pwyVxaD5uCFMsxHFivIdW1iv0ptfVqqExdLhvxkKdprFTG9XGCHWdcuoVjrVZJ11b4uFDnwovT_w1lqrynb5Ror3ZIC7hRz3c5Q6u4LGSoTPmreefGyCI3Qln6J5uLw0h_XVw6npcTIC20udG53fs1DJLHwl7s3BPm0i-ZxnuVcBKHYUzw-lQQcgfZEdJ6kKrRkU43bEueK6iofZ3J-ovi0HwHT__CELowPmawwAwIOx8_eVpoRG6lVwn3HLY9wk58QUfmOqKswK2c3fTyxDuBRtqXHdt0kRqH1-2KE84y85wR5iAlJNCXrM5lr4fpswZ65vX8dfm0qGvdBdgjyEkI2hGXw0RiID87PM5Np-Cpx1Y7_4r9xZEOFmOcgruXLxmvuM5zNm7HxLkUWcO5ktYi9PYkszdoNZbL64TZUwdK0LAGCOYdES_6LRLbXIC8HRg8lmy2sishpU-JkqwJLbpK4EfnGHJzx6GXO-uYmthWQjCtaYgAqCGNtZoTp9_JnKaXJDuDUM7nvL1t5pf2XSryoc0y7pDmTDN_KWYAVYhmd5MA3yZ0goo9yeG2EG7vyn_Q0YpPF0pCcVta4KuJ7fUPyLHAIhaq9taO-Da3i96bbhB3AeGmyWF9fY3mhyXwIIlkPUxfo3wb35ciFoBNIKs8-9Gjzb5tDK1dq1gYe-pLNvv34kkPktdH5pvHV2uFJL9WW94zigIg4bn0QVxPiWab5R8c5brPmFrq4ayHqo9q-MdNjSg-2AuqEhPPQrppGflpY4JYCVvOFVoQ7ZCtNJ9pjg7VtOWeQoC0wSE1Me4U6hD81IOXJPkGRZlhLk1o_CmQx3JQAy6eOSmU8fea5VqzzLVZFWku72kXSmhIcJRFB3XREKt5JcaJUl7ymfDvgl1CJ_GTFEUhCZ5WeowC5HHiTs2_Sc1bnEQNNJbuXovl0qTHK4b777f62iRgJxcFxDBEEolThMAqA3LLrKEG_zrrolbBpREnLHWdhLiRMAAnwCF86SW0v6ndhPIxdi_iotLBKwOVJNMMTXZCK1QoaXm_rst_eRLEMBY7EHmLaVVdGqY6coKS5djsPSLaxxhxmCZyKRh5nHSJ1C9qoYA9UCMz0kX_w27QV8a0lNfaiBJYHgLePmjRmm62FdXnYMZn_fbbAex0MqX86Kc9uXYmAdBUowjq6XQ9kX8uBZXf1yZSA6XaVWrOFYBQhvb5vKYpwoCIX7wcR1Cv4VJPgE6kozEWTYBpOOhMfHyZb5_uv3KUY2uszGJKT3pE-S4GnkqBGTWckk8ZolrXo5GB5OEog-tebzipbCm5i7ayQzVi3gstkJ1GgLGKz2haiBzJ-_huVtlH1x8BGQdx_x6skDRGpSJQfXdg1c0jNntusy7Jcp2bdT6Nu_OvvN4JoGTjpx2j1zTTCuvBP6qkvLcadWZAr64sixKp_oMipvxawKf4oUAn41ozy_tgCOh-ReuN3taJqpTb7BB5GRpRhK-NOf0AySGPjKONdltUagckYpGlfXlx3IvqQ5iQ90bjGV0qfVlUmkcM27UjnQHeJg852QJEUfX06SD9fIvBDEaK8awJCLtYYIPmPh2aUbgluxTRWzGdDjXyeCQgWPPpoBbIcELte-ItaFJzdRgWqHJxGSYFhBccH6O9drdcQGDNeN64XqMA2ummiaWsSAQOMohXOZqdFq2LMG5XWfPwviIcHNy4504AMwd-WX5m8qbavb0sOZkChPOhDJm1Ay7fQcBCIoknU=\",\"summary\":[]}"},{"type":"toolCall","id":"call_edoE6latL5w110lYIrLJKgjs|fc_04a3faafc36e14ce0169f78188c5b08190aa3880ce661e7ec6","name":"exec","arguments":{"command":"systemctl cat llama-server.service --no-pager","workdir":"/home/rurouni","yieldMs":10000,"timeout":20}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":38925,"output":293,"cacheRead":12800,"cacheWrite":0,"totalTokens":52018,"cost":{"input":0.19462500000000002,"output":0.008790000000000001,"cacheRead":0.0063999999999999994,"cacheWrite":0,"total":0.209815}},"stopReason":"toolUse","timestamp":1777828223534,"responseId":"resp_04a3faafc36e14ce0169f7817fe27081909660348ff9b6e725"}} {"type":"message","id":"198628fb","parentId":"ce3ce0f3","timestamp":"2026-05-03T17:10:33.417Z","message":{"role":"toolResult","toolCallId":"call_edoE6latL5w110lYIrLJKgjs|fc_04a3faafc36e14ce0169f78188c5b08190aa3880ce661e7ec6","toolName":"exec","content":[{"type":"text","text":"# /etc/systemd/system/llama-server.service\n[Unit]\nDescription=llama.cpp server (GTX 1080 Ti / sm61)\nAfter=network.target\n\n[Service]\nType=simple\nUser=root\nEnvironment=\"PATH=/usr/local/cuda-12.6/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin\"\nEnvironment=\"LD_LIBRARY_PATH=/usr/local/cuda-12.6/lib64\"\nExecStart=/usr/local/bin/llama-server \\\n --model /models/gguf/Qwen3.5-4B-Q8_0.gguf \\\n --port 8081 \\\n --host 0.0.0.0 \\\n --ctx-size 32768 \\\n --n-gpu-layers 99 \\\n --batch-size 512 \\\n --ubatch-size 512 \\\n --threads 16 \\\n --parallel 2 \\\n --cont-batching \\\n --cache-type-k q8_0 \\\n --cache-type-v q8_0 \\\n --log-file /data/logs/llama/server.log\nRestart=on-failure\nRestartSec=5\n\n[Install]\nWantedBy=multi-user.target"}],"details":{"status":"completed","exitCode":0,"durationMs":22,"aggregated":"# /etc/systemd/system/llama-server.service\n[Unit]\nDescription=llama.cpp server (GTX 1080 Ti / sm61)\nAfter=network.target\n\n[Service]\nType=simple\nUser=root\nEnvironment=\"PATH=/usr/local/cuda-12.6/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin\"\nEnvironment=\"LD_LIBRARY_PATH=/usr/local/cuda-12.6/lib64\"\nExecStart=/usr/local/bin/llama-server \\\n --model /models/gguf/Qwen3.5-4B-Q8_0.gguf \\\n --port 8081 \\\n --host 0.0.0.0 \\\n --ctx-size 32768 \\\n --n-gpu-layers 99 \\\n --batch-size 512 \\\n --ubatch-size 512 \\\n --threads 16 \\\n --parallel 2 \\\n --cont-batching \\\n --cache-type-k q8_0 \\\n --cache-type-v q8_0 \\\n --log-file /data/logs/llama/server.log\nRestart=on-failure\nRestartSec=5\n\n[Install]\nWantedBy=multi-user.target","cwd":"/home/rurouni"},"isError":false,"timestamp":1777828233417}} {"type":"message","id":"6326655c","parentId":"198628fb","timestamp":"2026-05-03T17:10:45.091Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_04a3faafc36e14ce0169f7818acf5081909a3b8f91e8390aa2\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp94GMJR_mLWHODxeeZHRgmN9rSqLX7awSnFeRvpHHpmwlgZr3K7f_c_fQSItmo2MH7mqmucJs75IZtYEU_zHtovYyGx4Anvz4Bo04vpNCcocXpW9BUpEWyge65p1EnLLdwJUzOoTIfzMbxDEvra4vmIMNUfcrZmFqfLxTGYBMw7RFzpYEZBL90HpLMu6R6oFzLgQ-TS3pUVt2DdpEtHzCpZP8S-7tqje3RGwjMgG0rHXpAuNHAtebBl9Jdb_LsFQogeNzYKJ3HmnaC4OcOi6EmdFQtar2m5F_Mfxdra0mYaTme-pcXDFkk3F1lOJKLNtxBDcKP40_x-UrMC_2doFS1FYeMvACsSrWc0ZdauOLSLOQwJZW4oQq5QXDtLK25tjZYRvSsZ4iOnluNlWK1wKuFfhqShwiICQ8Diral00Cc0h3Ifx6SM9Dfiaa_xAyLslNGH8HWtFqTwBtFbN9IbqiGqrkXmwWfbTAPq1pcHld7MmHycA034QHIeeMwVpmXDwixiFm3WpZGbOL72sbvxQEEO-11T3P2ECjlTabX3WrgCE-5ujy1yqs5DmDz2UL6kNRpxdiAxGFe5FtUEkDcUB2Z-RfCzpdwyeJ8JWMHW-BmBtYUr0FcFt7QS6ieRE68Rd5bJNLlCoCkV61p6NeBR0FQRHr9CiI9ftYT0CmxW0qYvLnwW7M19N9vS03VbFS3gN9Yklq9QYWBjN7zTVedEZUe1_-RkNXhtBtQNbfktyMdJRS56gjM-EcXSyrgoy-QPrLOq1TwzQ32AxXXoi-J-TuUNDcupkrLfIwhd8Sdubs7Lf_x0kS30v_ZopIOi746sJXQe--DuZLw6TB2zo3SHR6TLg2iWFz5m4ZE6nPfsmDTB-mwj-XFEW0aSTqLB9SJSCmk9lYC8bnuG52BKyJ_ANhJ7nr_tZgfBHvcvsukPReGRRNmczztLDwUgXuBu6v4Mv0aeGcTup7LEfm4P3gwXz39E5vEpgOlh8tLeTaA2LjZCmj0QHoe8wqR15-GIGPf0SCiknowBKzv2ITVyUsjDQvSp2YVNGjIHSHcDRz-qHKo9PTzYrpKwQx9ePtLDizd-kpQ4FRdZtzrxuithXZ8-ILpA5mnur0O-kOvBfR2QLbzmAG0jUnsdm6Xeursq_-xj5EPAw8XMpsfS9pGsIc57BOdgZEc6K79625WI-1w03y3GSrapU=\",\"summary\":[]}"},{"type":"text","text":"Confirmed. Current llama has `--ctx-size 32768 --parallel 2`, so each slot is only **16k**. Hardware has ~55GiB RAM free and ~5.6GiB VRAM free. Since the model’s trained context reports **262k**, a conservative safe bump is:\n\n- `--parallel 1`\n- `--ctx-size 65536`\n- OpenClaw model `contextWindow: 65536`\n\nI’m going 64k, not 128k yet. 64k should fit comfortably; 128k may fit but is more likely to push the 1080 Ti into VRAM/offload weirdness. Simple first, then sharpen it.","textSignature":"{\"v\":1,\"id\":\"msg_04a3faafc36e14ce0169f7818c823081908da6c28a1924772f\",\"phase\":\"commentary\"}"},{"type":"toolCall","id":"call_B24nBDR4s79XqYeqLrirw3CJ|fc_04a3faafc36e14ce0169f7818f7dac8190998ffe42f2c59b68","name":"exec","arguments":{"command":"set -euo pipefail\nstamp=$(date +%Y%m%d-%H%M%S)\nbackup_dir=/home/rurouni/backups/llama-context-$stamp\nmkdir -p \"$backup_dir\"\ncp -a /etc/systemd/system/llama-server.service \"$backup_dir/llama-server.service\"\ncp -a /home/rurouni/.openclaw/openclaw.json \"$backup_dir/openclaw.json\"\npython3 - <<'PY'\nfrom pathlib import Path\np=Path('/etc/systemd/system/llama-server.service')\ns=p.read_text()\ns=s.replace('--ctx-size 32768', '--ctx-size 65536')\ns=s.replace('--parallel 2', '--parallel 1')\np.write_text(s)\n\nimport json\np=Path('/home/rurouni/.openclaw/openclaw.json')\ncfg=json.loads(p.read_text())\nmodels=cfg['models']['providers']['llamacpp']['models']\nfor m in models:\n if m.get('id') == 'Qwen3.5-4B-Q8_0.gguf':\n m['contextWindow']=65536\n # Keep output modest; context is the issue, not generation length.\n m['maxTokens']=8192\np.write_text(json.dumps(cfg, indent=2)+\"\\n\")\nprint(backup_dir)\nPY\nsystemctl daemon-reload\nsystemctl restart llama-server.service\nsleep 3\nsystemctl is-active llama-server.service\nps -eo pid,user,args | grep -E '[l]lama-server'\ncurl -sS --max-time 5 http://127.0.0.1:8081/v1/models | head -c 1000\n","workdir":"/home/rurouni","yieldMs":10000,"timeout":60}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":1085,"output":617,"cacheRead":51200,"cacheWrite":0,"totalTokens":52902,"cost":{"input":0.005425,"output":0.018510000000000002,"cacheRead":0.025599999999999998,"cacheWrite":0,"total":0.049534999999999996}},"stopReason":"toolUse","timestamp":1777828233423,"responseId":"resp_04a3faafc36e14ce0169f78189b70481908e77c35949f672cd"}} {"type":"message","id":"3e14f980","parentId":"6326655c","timestamp":"2026-05-03T17:10:45.167Z","message":{"role":"toolResult","toolCallId":"call_B24nBDR4s79XqYeqLrirw3CJ|fc_04a3faafc36e14ce0169f7818f7dac8190998ffe42f2c59b68","toolName":"exec","content":[{"type":"text","text":"Traceback (most recent call last):\n File \"\", line 6, in \n File \"/usr/lib/python3.13/pathlib/_local.py\", line 557, in write_text\n return PathBase.write_text(self, data, encoding, errors, newline)\n ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/lib/python3.13/pathlib/_abc.py\", line 651, in write_text\n with self.open(mode='w', encoding=encoding, errors=errors, newline=newline) as f:\n ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/lib/python3.13/pathlib/_local.py\", line 539, in open\n return io.open(self, mode, buffering, encoding, errors, newline)\n ~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nPermissionError: [Errno 13] Permission denied: '/etc/systemd/system/llama-server.service'\n\n(Command exited with code 1)"}],"details":{"status":"completed","exitCode":1,"durationMs":67,"aggregated":"Traceback (most recent call last):\n File \"\", line 6, in \n File \"/usr/lib/python3.13/pathlib/_local.py\", line 557, in write_text\n return PathBase.write_text(self, data, encoding, errors, newline)\n ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/lib/python3.13/pathlib/_abc.py\", line 651, in write_text\n with self.open(mode='w', encoding=encoding, errors=errors, newline=newline) as f:\n ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/lib/python3.13/pathlib/_local.py\", line 539, in open\n return io.open(self, mode, buffering, encoding, errors, newline)\n ~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nPermissionError: [Errno 13] Permission denied: '/etc/systemd/system/llama-server.service'\n\n(Command exited with code 1)","cwd":"/home/rurouni"},"isError":false,"timestamp":1777828245167}} {"type":"message","id":"82afd88e","parentId":"3e14f980","timestamp":"2026-05-03T17:10:55.426Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_04a3faafc36e14ce0169f78198e1ac81908deddab02b51da02\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp94GZjqCs-kwYe7wQHe1JszHS89LOJAjJrEEYR4_fDCL9_9xukugrENWWcGCWit-c4hPa0V2BJlzQI2TVo8bpjml9nDU6JwKuK02hcMHK21Os7cxuklzob3Asf9Rt4xwHkBDxc5pjEvJfnXtDf-lsgvSzs2ACeZ7FcgxQsCrRtoPQL2n_GzCQG7NVzEdCFt2plH-50_9enScvy75LBNjYGwi2SE4jdM9Gc3FYsTQpkrjVuC2Tb_6Q-l4CVXXJ_Ja_Tu-RK7i05JMhdDT1ea9Z59UHow01hnipNALp2jCIq70BGSd2nrvd1NkvIr_Bv67bx_wCQZPW3hHN6_g6irRJOQQaa1o0hGZ17pUwEnj5BkwOwVylItthzoNTIMyCyikiiyEhtaC-Wl8UVmN6_AtCDqrPwm4CrFOsyMvot7EF1cTDPYKY_iO8Zhr8YhEf0tOTGyndi0ful_Sd1-mep8G4u2RWa7FXlySKXEzk0Z3-6d3qwU4CdmdKjs-cOjj0iU6BssA-rZANmPDwX55In2dffJ9z3Wgz0kxYtau7a9sgYzc54OhcXwutf9PTlYG05IxmCjW5D6wRjhW7X0H-lpT2JVb2znpl8BBqAN_swPtMdaTN8QmeDKCJi4ymShAvBn42-f0B1B2vh7FIojE_H_RW9jMB2qHbL1JbnJoToHFDGJiZb1zW58_8J6Sn1OOq9cs6Bcs8QazO2B0vjAVNKOET1BE-G9YMpwmRWoW3LR00ndDXoQiSskpF3qvOwiXuBhRALNmVsqv54PbDX8hkYXmkZ7Ju7Om6gY8CmV-v8gqg0DvcU1bkafo2tr9t9NBIscJkaQ3iC7TW-kZetIGj76oiLfWDCk5gZOsKXr6y7Sv8SMgb4FiKHx4AIQ90GXys7yuuGYhKfonKXucT06Rbxv3Znbe41oT9QuytHscw7qUx8p5YM3XtSY50IK44-g5oXapf3pOIiOWCZcJxiwuFFm_Uea4lXmS0c7HsZM9FdDaY2QlLR7Si9-ntPJKjfk4j5sV9NLMdvRH6gY1VuHL3ctLw-vBLU0qfbrvS7f-PPp3G5KhdOll78bzB44lBmujX_1gkamnz4YOdXmNMShyW7YYCuAgXqqGM0rOpoqPpUX2Mtg8EnnNALApJAAdSHS2TnhICEA9w\",\"summary\":[]}"},{"type":"text","text":"Hit a permissions wall on `/etc/systemd`; backup was started but unit edit needs elevated execution. Retrying with elevation.","textSignature":"{\"v\":1,\"id\":\"msg_04a3faafc36e14ce0169f78199dda081908fde050bb8b5cec0\",\"phase\":\"commentary\"}"},{"type":"toolCall","id":"call_32PpgqB7AAZQNRwa3PIkMluK|fc_04a3faafc36e14ce0169f7819aab248190a029cf4ec12550a2","name":"exec","arguments":{"command":"set -euo pipefail\nstamp=$(date +%Y%m%d-%H%M%S)\nbackup_dir=/home/rurouni/backups/llama-context-$stamp\nmkdir -p \"$backup_dir\"\ncp -a /etc/systemd/system/llama-server.service \"$backup_dir/llama-server.service\"\ncp -a /home/rurouni/.openclaw/openclaw.json \"$backup_dir/openclaw.json\"\npython3 - <<'PY'\nfrom pathlib import Path\np=Path('/etc/systemd/system/llama-server.service')\ns=p.read_text()\ns=s.replace('--ctx-size 32768', '--ctx-size 65536')\ns=s.replace('--parallel 2', '--parallel 1')\np.write_text(s)\n\nimport json\np=Path('/home/rurouni/.openclaw/openclaw.json')\ncfg=json.loads(p.read_text())\nmodels=cfg['models']['providers']['llamacpp']['models']\nfor m in models:\n if m.get('id') == 'Qwen3.5-4B-Q8_0.gguf':\n m['contextWindow']=65536\n m['maxTokens']=8192\np.write_text(json.dumps(cfg, indent=2)+\"\\n\")\nprint(backup_dir)\nPY\nsystemctl daemon-reload\nsystemctl restart llama-server.service\nsleep 4\nsystemctl is-active llama-server.service\nps -eo pid,user,args | grep -E '[l]lama-server'\ncurl -sS --max-time 5 http://127.0.0.1:8081/v1/models | head -c 1000\n","workdir":"/home/rurouni","yieldMs":10000,"timeout":60,"elevated":true}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":1411,"output":479,"cacheRead":51712,"cacheWrite":0,"totalTokens":53602,"cost":{"input":0.0070550000000000005,"output":0.01437,"cacheRead":0.025856,"cacheWrite":0,"total":0.047281000000000004}},"stopReason":"toolUse","timestamp":1777828245173,"responseId":"resp_04a3faafc36e14ce0169f7819578a48190838f7c0b8116f539"}} {"type":"message","id":"543ccc67","parentId":"82afd88e","timestamp":"2026-05-03T17:10:55.507Z","message":{"role":"toolResult","toolCallId":"call_32PpgqB7AAZQNRwa3PIkMluK|fc_04a3faafc36e14ce0169f7819aab248190a029cf4ec12550a2","toolName":"exec","content":[{"type":"text","text":"Traceback (most recent call last):\n File \"\", line 6, in \n File \"/usr/lib/python3.13/pathlib/_local.py\", line 557, in write_text\n return PathBase.write_text(self, data, encoding, errors, newline)\n ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/lib/python3.13/pathlib/_abc.py\", line 651, in write_text\n with self.open(mode='w', encoding=encoding, errors=errors, newline=newline) as f:\n ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/lib/python3.13/pathlib/_local.py\", line 539, in open\n return io.open(self, mode, buffering, encoding, errors, newline)\n ~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nPermissionError: [Errno 13] Permission denied: '/etc/systemd/system/llama-server.service'\n\n(Command exited with code 1)"}],"details":{"status":"completed","exitCode":1,"durationMs":73,"aggregated":"Traceback (most recent call last):\n File \"\", line 6, in \n File \"/usr/lib/python3.13/pathlib/_local.py\", line 557, in write_text\n return PathBase.write_text(self, data, encoding, errors, newline)\n ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/lib/python3.13/pathlib/_abc.py\", line 651, in write_text\n with self.open(mode='w', encoding=encoding, errors=errors, newline=newline) as f:\n ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/lib/python3.13/pathlib/_local.py\", line 539, in open\n return io.open(self, mode, buffering, encoding, errors, newline)\n ~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nPermissionError: [Errno 13] Permission denied: '/etc/systemd/system/llama-server.service'\n\n(Command exited with code 1)","cwd":"/home/rurouni"},"isError":false,"timestamp":1777828255507}} {"type":"message","id":"316fd3a7","parentId":"543ccc67","timestamp":"2026-05-03T17:10:59.875Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_04a3faafc36e14ce0169f781a259e88190a4fae35d9373dfef\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp94GjkqnaMGxLEpcq5iggFvqVcWQE6T15R3DkOLS350he9KnQbt8PdqVCIKV2EQnt88mLYzn8bFZNst5WSvwSiEWH1gSA7ZtuWA_CGJIu06Rhvln_xuEb4OgjWlgjQnNQYKGHM_k1XmMQ7aKPT5qU4vYUwGAWQljfTq3eNN9zX8wLx3x5ZfCu4KWujI92DRoe5lqHogH25S2Wr5QY1f7RKO8PSfEM-d4LqDVBaxBSI8oUiZGLtmogyP4jYcpce1WpgSOltrzVj_Owyw2dTDlSZOf3Lz3sANGdyH8nIeKCJBAagi2eGTACausvWuc2Sr5jJKslRkGFmtXEoU28lyXgyw9JzoKJypynG3i55EYoU1IxuH_uepBVh2Ama78CfoitcXx8ycQSSSI8PajnORem7WUePQ90-078_fuCWePe-Ylxi4jUKETWbD2ddC__Cz_ApY0FpO6TjK4uDEMXxgj8HMirx8pNfRCnqwT7y8OQvoNIsy_uaQBwdSgfzJIqCygasQgF0kik9wlTkI2EFqjzPxTzWzmbWJv-XsCsxrGcDVMP_zaB6ebYk8lhe-kMQ7abcV_VPhDd-QaR7XIz9cm12-DGjSEKsN8w3nAcYnOT1IVMVmIeijGIigab-fekRhQCTC83Q4axIbkku0TfkiHbOsroD3gUVTl40plBz-cKG5Qwu7DcthlYKWZQmONOtB9sfs46iapnR701TTZ7Z3i2rl_FgejK2gvNFXzY5d9tmtCMttVlAXxs9xeFgJ6so_9XC61wWI18TKb9mjQ8EbN9HENqY0TDovIs3jbk3f1HQqsvhPK-mC6jmZyLJ2fDf4dqXl1ADvlLFLs1qqcPTVXFSJLfBpGsAXGigTlKCvoLKU-wJXhGAQujqJKKAn3PcB2dSIa2EJLaLL69DK8FNiERKC-Vy8G6qeDtkCKvo891sZrhKw3twc9nisjlIYoGRONGqBAQG4Bgh5KedV7iBwIGh2EKOHS0yduTX7CS3RApXsJiVlc2Ov6YeokoqqNFIHjMnv3meXkKOPCIfehZTf8LxCHiuHwDSVWca7-rSDIh6wi0BDi_rTUBkr8o-9tI0YE5R5eJsAwncCXWfplpdUI_XXv-uRLi2pwGCsy9GJQJfgALjUo=\",\"summary\":[]}"},{"type":"toolCall","id":"call_GQzkluZWda3PMgnarcFWMX87|fc_04a3faafc36e14ce0169f781a32e348190b11b2c8adabc41bd","name":"exec","arguments":{"command":"whoami && id && sudo -n true && echo sudo-ok || echo sudo-no","workdir":"/home/rurouni","yieldMs":10000,"timeout":20,"elevated":true}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":1087,"output":95,"cacheRead":52736,"cacheWrite":0,"totalTokens":53918,"cost":{"input":0.005435000000000001,"output":0.00285,"cacheRead":0.026368,"cacheWrite":0,"total":0.034653}},"stopReason":"toolUse","timestamp":1777828255513,"responseId":"resp_04a3faafc36e14ce0169f7819fdeb08190a3a6950c2876352f"}} {"type":"message","id":"5652d32d","parentId":"316fd3a7","timestamp":"2026-05-03T17:10:59.915Z","message":{"role":"toolResult","toolCallId":"call_GQzkluZWda3PMgnarcFWMX87|fc_04a3faafc36e14ce0169f781a32e348190b11b2c8adabc41bd","toolName":"exec","content":[{"type":"text","text":"rurouni\nuid=1000(rurouni) gid=1000(rurouni) groups=1000(rurouni),24(cdrom),25(floppy),27(sudo),29(audio),30(dip),44(video),46(plugdev),100(users),101(netdev),989(docker)\nsudo: a password is required\nsudo-no"}],"details":{"status":"completed","exitCode":0,"durationMs":28,"aggregated":"rurouni\nuid=1000(rurouni) gid=1000(rurouni) groups=1000(rurouni),24(cdrom),25(floppy),27(sudo),29(audio),30(dip),44(video),46(plugdev),100(users),101(netdev),989(docker)\nsudo: a password is required\nsudo-no","cwd":"/home/rurouni"},"isError":false,"timestamp":1777828259915}} {"type":"message","id":"71168f47","parentId":"5652d32d","timestamp":"2026-05-03T17:11:10.120Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_04a3faafc36e14ce0169f781a6f3288190bddfa8543ff0ad4b\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp94Grb5O19cXdM4GSYz7o9Kp9WhL1EjUjwyZNosT-Kt037hNYyxKl1OuCgjs_x0YAwMnalLST9CqXP_2T0UsOLIHlqfduS89i31M-c0i2jyk_ySIH5twGs3noNLxjYF4zdxQG-OoomcG-JGA9_nhoqsgKGCKX1ygnzXSqYtSD0W2ofeTdnOcr9pJLvnOXSIvydXKNKKlxTRUR-tnhFhVV1VibHcScN_1oGhfZXI8cDXYAwvcJ7D3-7X9H-8bKtaHClGeZi2pqfS8e7zWoEbPPgkFqLXLVZLk31FAdZzy_p5iwLUWZOI2_WrNYFg4dbNFnQOK_zwOVSFZU4tKHBUub05nvw_GZKDQmQS_AOwTdB6BsdDRIvACvvHR-AhhgdTRCjau366OC-eDfjsy8IepQZaBtSJsM-8lEW87kpcWvRCDrHzHgsSoChFzhXwvz3y5GmU09iyb57q2cmAAiZD4inV6t0bf80xSVok0Zr5kmBr4u_oTnNzPxrNTWjZ-XrDfTYnI2qvid7x-vAjFlcJyT5m76ADS1_M_5UMjl-hEFFdArY-dIpJ3di5dJO2ywlJsQrUbABmFmQPs5nRNDqE8Y4mCMCX2x54gH9-PNPDS9JioHRRTtAY_XyG96MOgN4p1rQ67ZN0tSrKJEPCtFMn7HSD8bw3fdKA-oI8K3NhrZqifi7LaFfM2BhUulChqyZICZ2_RjrlL-_foVDLmgctcmK3wM0tmr2SpBJHDDNW4XEn49M6qD32OdpG0ZakqapoR76m0Xz1AkMIk9aJ7ZpiTeuDSeDgY-avPSLNSAdsKcJJAhMF_knrGsTQbKeJPXeFn3YvjdAeO6lQMEtTNxdcC-gj3Z1CghIEN1oMhs1kM2VUVceKjxIG8Keph_sOECcZVQIGXAsxOt6HXR1Vx7I5lCBxR35gIMvqTmVpJiFGxWo3CFsqhrhHBK6VR-Pjqji5AC0Z9VewcsQUuSPQ_gi8kQ1VfMpU6G15pyK4G1mR9ZAttevAOn3qko6h2ruQJNFaQ5VGnXifzYZFSCDDWecxIv5wFGssp3eCTxdYDT3MGXVzLeE5ma1Fsoh2IWb6Q16tMqGyGI5CsDdKWfeiV8LOMRt2cTk3XHyn_Nb5uI-4IILKYZ5AziiK_8IppAoYxSAnkD2rgZY_YmXOfm1k3BwhFAEE1KEMuhBEbEmvmcc86OMRFqDIlUZnd6B7CDQsmBbqqhdp_hmZ7I5tR29QJr1zhUVa3dFhKXi8lj8pwKzvODUaMZQjCq68TUjOPUWR-IDOZGZhlo-CTvHt1iePf74llDdhWD266MPqP6KWIQAirq9SncZp9UGaiRZ3D-qLtMTlC7L-SS-_tNSZ5Ej0W1xWg169JhiJQXomFK1q0vBmnY2xaMt45o0xByje-D7c8MyHzPES4Y3snr9w-nmfIiFChxzu5fr17ZqDmGew4js759KbZ7w6mRgsCvn1PGVPfWYoFVryr12qdxoT2jJXfEuepv4zF-koqdyxOdWdArIsDyvum9E45BjAlC3o-ysNaqSlc9qAZT-pW-cS6SwgVUjR4QN8yRyqYU97wxwswgio4GHH9C687l7rUeuydabo7eMVW4lDqf5X0v2rqty55bRLGM0p5VPzAxaDk9sIYxcoisNExIZkv1gBj2N5mtHbKZSY59im-ZxoMUEzvYx7nchiP6Xr9E8fn2_GryzSAFAD_v7qKlM8kNUbp5Mh2v4Ow_qUxdkowzVfAPncG4tdUugR0wvOjP-94WdBjQ0q4L088mSkK440y2NI3lCxEb1aRTT01l-KOJBiFrGMPWZQTLzV63Rmw7VWLuzMynfHX5ORDC4xRyKFZyRlnZ1m0vO4SpUWoZmcz0JcBt2KuMw0Ztv55HyZv-hz9NztB15aeFJPjlnZu-EMKiL_B2ZJZKCQL5DhvojJPxA4cCHfz208kw3rRES0xsv1q5pLXQoe6c56mznDK6Ix1-yu7ANuHaH8WSa4IDcUna\",\"summary\":[]}"},{"type":"toolCall","id":"call_XlEeUENr8ZLizZtjDU2U8wSZ|fc_04a3faafc36e14ce0169f781ab90f8819085dcff2d5f32eacd","name":"exec","arguments":{"command":"set -euo pipefail\nstamp=$(date +%Y%m%d-%H%M%S)\nbackup_dir=/home/rurouni/backups/openclaw-local-context-$stamp\nmkdir -p \"$backup_dir\"\ncp -a /home/rurouni/.openclaw/openclaw.json \"$backup_dir/openclaw.json\"\npython3 - <<'PY'\nimport json\nfrom pathlib import Path\np=Path('/home/rurouni/.openclaw/openclaw.json')\ncfg=json.loads(p.read_text())\nfor m in cfg['models']['providers']['llamacpp']['models']:\n if m.get('id') == 'Qwen3.5-4B-Q8_0.gguf':\n m['contextWindow']=65536\n m['maxTokens']=8192\np.write_text(json.dumps(cfg, indent=2)+\"\\n\")\nPY\necho \"$backup_dir\"","workdir":"/home/rurouni","yieldMs":10000,"timeout":20}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":759,"output":428,"cacheRead":53248,"cacheWrite":0,"totalTokens":54435,"cost":{"input":0.003795,"output":0.01284,"cacheRead":0.026624,"cacheWrite":0,"total":0.043259}},"stopReason":"toolUse","timestamp":1777828259921,"responseId":"resp_04a3faafc36e14ce0169f781a4676c81909c30169b5cb04e92"}} {"type":"message","id":"69d5cd12","parentId":"71168f47","timestamp":"2026-05-03T17:11:10.201Z","message":{"role":"toolResult","toolCallId":"call_XlEeUENr8ZLizZtjDU2U8wSZ|fc_04a3faafc36e14ce0169f781ab90f8819085dcff2d5f32eacd","toolName":"exec","content":[{"type":"text","text":"/home/rurouni/backups/openclaw-local-context-20260503-101110"}],"details":{"status":"completed","exitCode":0,"durationMs":71,"aggregated":"/home/rurouni/backups/openclaw-local-context-20260503-101110","cwd":"/home/rurouni"},"isError":false,"timestamp":1777828270201}} {"type":"message","id":"af8b642a","parentId":"69d5cd12","timestamp":"2026-05-03T17:11:15.434Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_04a3faafc36e14ce0169f781b16094819095855a5336d7dd55\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp94Gxx_CLZ2h43nxduR_6spzJUgmxFVWTYQexzcxmQ29TvoLodH4kjREcuXofiFEtKeLG1lhNPDs0KOG9WnDxk-99errF1ksfpaVdOY0QvRd8vRpOKlVgCY0Euq4gaAZtzZ2_HQpKvBZ4qxBWTF0qrDuXbCJegeTqGdeBXMW0IrUaqcU_X4Tvn50r-gZoNBuncweTnv29HPN8t7GFhrOQfwDeShF3-KjWzEEkJcvT0lSs6xcyr9LN0jzEpj5d5z_TE9r3UtkEY-1pq7Fnm3UUZVlIRth32McImaZjKiRvgP8-2S5wiCveNV_unL7wcWRYG2PXG63t5O28WwmrJUC5URnb--9WURz9he_qZLBFVq2J-1PBqPX9tijnBriUGd906YJ6GtXZqOyQr79CRwXKgXTiBXZ42gBkv98-trcqo_IVf7X1yYQeZUoTgmHJllhH4JCnjiW5xHUUNqyOoYwq07lmxDDrXTpGBM1uRaz1xw7zuHdsnPm6vFfmYV7--m9_wSUwjZ5TKR5pPA40sV96OK51vZidKofgEqovoby8FFK7fuY1YK-pu74EQyoOyRUfUi5VUqsbZF2V_114XpN8I1eO3hg0v0Xqtltbi7aTc6MQX5q9SM-4kJg1wLCt6aAKKSkTIsUhERF5fO9P98SeOBKwG8WgZ3pI6H5PpNqFi6VEF_KKFSi53gGL0YaHogaYcsKFlNvcUv6Ue7r1IHjlfT8mRPCRrRRtfSKw5dwGNwT9eY2z148mqAVm745y9LbXL3TqrnvLM633ddoZZXp6kiSHQrw9_4jjt6Z3xpLZp_HJEjdxOdVaIknrP7VuKlmeuAKB8LGLfy24Rbn5T7qpgsxuvEZOwHIRGjtB4hDOsg2FYr1ffqQjxYaDM4LkJifXOL-fYgiZzy6ihkictxYAC-9lS1sCSyZkdq_IlUIkhvaqPohX33qlbfkMBrSiYvP7PwfqSEzVHbo6HE04hyx9oEkOeZq7ml-NZ7zviWkgPKNla5bevMPwn7hTePQXOIgkpDwX4LO6qBlrd_OgZ77zHWvc9w==\",\"summary\":[]}"},{"type":"toolCall","id":"call_AzEnpiyeYTcTO4VT1zvxVJrW|fc_04a3faafc36e14ce0169f781b1fe60819083b7c40cf4f8e7de","name":"exec","arguments":{"command":"grep -A25 -B2 -n 'llamacpp' /home/rurouni/.openclaw/openclaw.json | sed -n '1,80p'\necho '--- current llama still ---'\nps -eo pid,user,args | grep -E '[l]lama-server'","workdir":"/home/rurouni","yieldMs":10000,"timeout":20}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":704,"output":123,"cacheRead":53760,"cacheWrite":0,"totalTokens":54587,"cost":{"input":0.00352,"output":0.00369,"cacheRead":0.026879999999999998,"cacheWrite":0,"total":0.034089999999999995}},"stopReason":"toolUse","timestamp":1777828270208,"responseId":"resp_04a3faafc36e14ce0169f781ae94cc8190ab087cac43184a3e"}} {"type":"message","id":"10e4308d","parentId":"af8b642a","timestamp":"2026-05-03T17:11:15.480Z","message":{"role":"toolResult","toolCallId":"call_AzEnpiyeYTcTO4VT1zvxVJrW|fc_04a3faafc36e14ce0169f781b1fe60819083b7c40cf4f8e7de","toolName":"exec","content":[{"type":"text","text":"13- },\n14- \"models\": {\n15: \"llamacpp/Qwen3.5-4B-Q8_0.gguf\": {\n16- \"alias\": \"local\",\n17- \"params\": {\n18- \"temperature\": 0.6,\n19- \"top_p\": 0.95,\n20- \"top_k\": 20\n21- }\n22- },\n23- \"openrouter/minimax/minimax-m2.7\": {\n24- \"alias\": \"MiniMax\"\n25- },\n26- \"openai-codex/gpt-5.5\": {}\n27- },\n28- \"contextTokens\": 128000,\n29- \"compaction\": {\n30- \"reserveTokensFloor\": 24000,\n31- \"truncateAfterCompaction\": true,\n32- \"maxActiveTranscriptBytes\": 1000000,\n33- \"notifyUser\": true,\n34- \"memoryFlush\": {\n35- \"enabled\": true,\n36- \"softThresholdTokens\": 60000\n37- }\n38- },\n39- \"contextInjection\": \"continuation-skip\",\n40- \"experimental\": {\n--\n129- \"mode\": \"merge\",\n130- \"providers\": {\n131: \"llamacpp\": {\n132- \"baseUrl\": \"http://127.0.0.1:8081/v1\",\n133- \"api\": \"openai-completions\",\n134: \"apiKey\": \"***\",\n135- \"models\": [\n136- {\n137- \"id\": \"Qwen3.5-4B-Q8_0.gguf\",\n138- \"name\": \"Qwen3.5 4B Q8 (llama.cpp)\",\n139- \"reasoning\": false,\n140- \"input\": [\n141- \"text\"\n142- ],\n143- \"cost\": {\n144- \"input\": 0,\n145- \"output\": 0,\n146- \"cacheRead\": 0,\n147- \"cacheWrite\": 0\n148- },\n149- \"contextWindow\": 65536,\n150- \"maxTokens\": 8192\n151- }\n152- ]\n153- }\n154- }\n155- },\n156- \"plugins\": {\n157- \"entries\": {\n158- \"telegram\": {\n159- \"enabled\": true\n--\n383- \"mode\": \"api_key\"\n384- },\n385: \"llamacpp:default\": {\n386: \"provider\": \"llamacpp\",\n387- \"mode\": \"api_key\"\n388- },\n389- \"openai-codex:tw24fr@gmail.com\": {\n390- \"provider\": \"openai-codex\",\n391- \"mode\": \"oauth\",\n392- \"email\": \"tw24fr@gmail.com\"\n393- }\n394- }\n395- },\n396- \"wizard\": {\n397- \"lastRunAt\": \"2026-05-03T05:11:39.132Z\",\n398- \"lastRunVersion\": \"2026.5.2\",\n399- \"lastRunCommand\": \"onboard\",\n400- \"lastRunMode\": \"local\"\n401- },\n--- current llama still ---\n 37857 root /usr/local/bin/llama-server --model /models/gguf/Qwen3.5-4B-Q8_0.gguf --port 8081 --host 0.0.0.0 --ctx-size 32768 --n-gpu-layers 99 --batch-size 512 --ubatch-size 512 --threads 16 --parallel 2 --cont-batching --cache-type-k q8_0 --cache-type-v q8_0 --log-file /data/logs/llama/server.log"}],"details":{"status":"completed","exitCode":0,"durationMs":36,"aggregated":"13- },\n14- \"models\": {\n15: \"llamacpp/Qwen3.5-4B-Q8_0.gguf\": {\n16- \"alias\": \"local\",\n17- \"params\": {\n18- \"temperature\": 0.6,\n19- \"top_p\": 0.95,\n20- \"top_k\": 20\n21- }\n22- },\n23- \"openrouter/minimax/minimax-m2.7\": {\n24- \"alias\": \"MiniMax\"\n25- },\n26- \"openai-codex/gpt-5.5\": {}\n27- },\n28- \"contextTokens\": 128000,\n29- \"compaction\": {\n30- \"reserveTokensFloor\": 24000,\n31- \"truncateAfterCompaction\": true,\n32- \"maxActiveTranscriptBytes\": 1000000,\n33- \"notifyUser\": true,\n34- \"memoryFlush\": {\n35- \"enabled\": true,\n36- \"softThresholdTokens\": 60000\n37- }\n38- },\n39- \"contextInjection\": \"continuation-skip\",\n40- \"experimental\": {\n--\n129- \"mode\": \"merge\",\n130- \"providers\": {\n131: \"llamacpp\": {\n132- \"baseUrl\": \"http://127.0.0.1:8081/v1\",\n133- \"api\": \"openai-completions\",\n134: \"apiKey\": \"llamacpp-local\",\n135- \"models\": [\n136- {\n137- \"id\": \"Qwen3.5-4B-Q8_0.gguf\",\n138- \"name\": \"Qwen3.5 4B Q8 (llama.cpp)\",\n139- \"reasoning\": false,\n140- \"input\": [\n141- \"text\"\n142- ],\n143- \"cost\": {\n144- \"input\": 0,\n145- \"output\": 0,\n146- \"cacheRead\": 0,\n147- \"cacheWrite\": 0\n148- },\n149- \"contextWindow\": 65536,\n150- \"maxTokens\": 8192\n151- }\n152- ]\n153- }\n154- }\n155- },\n156- \"plugins\": {\n157- \"entries\": {\n158- \"telegram\": {\n159- \"enabled\": true\n--\n383- \"mode\": \"api_key\"\n384- },\n385: \"llamacpp:default\": {\n386: \"provider\": \"llamacpp\",\n387- \"mode\": \"api_key\"\n388- },\n389- \"openai-codex:tw24fr@gmail.com\": {\n390- \"provider\": \"openai-codex\",\n391- \"mode\": \"oauth\",\n392- \"email\": \"tw24fr@gmail.com\"\n393- }\n394- }\n395- },\n396- \"wizard\": {\n397- \"lastRunAt\": \"2026-05-03T05:11:39.132Z\",\n398- \"lastRunVersion\": \"2026.5.2\",\n399- \"lastRunCommand\": \"onboard\",\n400- \"lastRunMode\": \"local\"\n401- },\n--- current llama still ---\n 37857 root /usr/local/bin/llama-server --model /models/gguf/Qwen3.5-4B-Q8_0.gguf --port 8081 --host 0.0.0.0 --ctx-size 32768 --n-gpu-layers 99 --batch-size 512 --ubatch-size 512 --threads 16 --parallel 2 --cont-batching --cache-type-k q8_0 --cache-type-v q8_0 --log-file /data/logs/llama/server.log","cwd":"/home/rurouni"},"isError":false,"timestamp":1777828275480}} {"type":"message","id":"9c4b3e14","parentId":"10e4308d","timestamp":"2026-05-03T17:11:27.962Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_04a3faafc36e14ce0169f781b7d1a88190a1f9bf68966111ca\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp94G6Qw0V5lcp83vttrHSkn-v1W8xW7pl_DoE-v9ALyi0bxyO4obwQW1MKkSPaIv5ZWydOAl-dY2YaAdFVB0Ju5YwCQyyIypEXGlkPoLElvbbDqU2Jn3qEXXxpZPFAvOytA0cDjvvNkEZraX4IsDLkL9oyEMCpkxMOpsW4oPA7eNo6axphcmNA7BzaVMYQvSx36FnpRWWDLpEikGWc5GUXeNh5QdZ9h2i3mLh-u9EJS2otKhOs9lI6Jx3vCmL3PI7AFktoOP2vgE7BFP6VBDmck3DIWR_nTyPMs837kYNHpJfisTBdPJoAB7b0dw6cKUXfzj4aY47MwJkm1FnBKMX_oRGpgcYZzVqqZt0lhyk4RQDGSxh8UwU-YtmqPnRj7gPOXleuKqRNN9gNBhvvrq18rNCJ1V9Q0g45zpfywabs54rAceT2wU4MUHSfge5B7fzNuQaWqR_mQkVuuCoF--3SEjEvv-DD0g7Ith1eA69NV4OA-H-RGssEDKQmfqun2zZhQIH9_KlXkq8ZXINZVfZw6Yt3crsVzsb47qaS248gRRZgHKfDlAaHH7Enw9vSLE7b64VkZPH99gGb1pGh2wDL0-cGiEJnzOzgkKaCJGy5P91TPz_FsbNVnPh3T9WmUwnFoqp6DUkoPi56T8yXnnysLLZXfdeBRyKUi0qF5n_l4gbaxP3DIxVuGsQPry5VV_maJfx2q2_bTowIII2QNLa23erDwvhUnM8MHGUYAeYbwglibYglPAxZORa_u7fYTprRfNPIVQM6dC6jTeGHRx-Dp_YmeHcEOc_JiiFrBLRAF80VCi0jE89I1Ep2GFgn7gnyiRAUHbazAAQISLp934jB8WI2B7gKjWTziIIQ1FaZNuBEQ6PsYvPBeDVrYs6CMPIC5RTs10GknE9OQlhOJMWlMO5b3CYACdAHUGl58glyhn0mVv_aCB0YQ6oFkz3U3ob5Z-GHpQNouIpAM8DB8mJojp7rtq96Nq0t493ASYSg3Gb9F8pHoQsfKBJoGXq4FzW349CjiPx6OYpSVAXeXq-fOHodnewqFwjqAhI7vxawTfcnbggXyNd8AmraB8nH9oSpT65OpLKnWlAEeEA0pTbq4G-CLHJDUpj1gOywpZHl0HNLsU54WukUhw3XdOn57mI9bJUVJ49wmCkECQYSdMtfjECNObLH6tF8r3a3QtViUiSDk9y3zO3vcC7DOa-1FEWH4Bth2wBELHvY1HHP-Di6IkBmEjig0ApdgXZbA4UuAXzJ6IJIDfDxPfbs9kcfrLP6FPE3BwzWw9DfZ2w2rWXlco1RQtDwJv1Jyf3yXBrVOQCSdGtO2ja13f6CiG241CyOoyQNqp-n64WujMODcmIQomLG_ime6-UYMVCYkJun_QSgNSOir2wIU31oD_AkckZEoSJ4im4C9d4fMKEIQFKl7sY4_Ly08TFnU6bronrJXxF90ZI6J1aB2kZko4cs7YJGFW5Vephbujv2IrGX7Zwh1CktoPWQzoUaM5JPKRAp7TFS4nrsZWnpb-cfj85iKj4K-PSEP6rG9DX1Kz1JQ_zGfeA3ypTggR_7qLf4_QSays-1Mv1XwhxgaJXD5-I-vhSkI2DdlBnMwttHog1zm9BnCp6exs6uIeT51lCPnZwcyK93Ne7-troVGQj-yRcpgXC-I9q1Bteoy61tXC-06X3PTmE3haOtqv4n8i-LsvAdM1gja5YsPJmy8f6N7PhkRezpp66pIksVF6O9e-v31EO6ybAgw==\",\"summary\":[]}"},{"type":"text","text":"Parallel **1** is better for your setup.\n\nWhy:\n- `--parallel 2` split your `--ctx-size 32768` into **16k per slot**.\n- Your prompt was ~22k tokens, so llama.cpp rejected it and OpenClaw kept trying compaction.\n- With `--parallel 1`, the full context goes to one request.\n\nI updated OpenClaw’s local model config to:\n\n```json\n\"contextWindow\": 65536\n```\n\nBackup made here:\n\n```bash\n/home/rurouni/backups/openclaw-local-context-20260503-101110\n```\n\nBut the actual llama server is still root-owned and running old settings:\n\n```bash\n--ctx-size 32768 --parallel 2\n```\n\nI can’t edit `/etc/systemd/system/llama-server.service` without sudo password/root. Run this on the box:\n\n```bash\nsudo sed -i \\\n -e 's/--ctx-size 32768/--ctx-size 65536/' \\\n -e 's/--parallel 2/--parallel 1/' \\\n /etc/systemd/system/llama-server.service\n\nsudo systemctl daemon-reload\nsudo systemctl restart llama-server.service\nsystemctl status llama-server.service --no-pager\n```\n\nAfter that, local should have **64k effective context** instead of 16k. We have enough headroom for 64k: ~55GiB RAM free and ~5.6GiB VRAM free. I would not jump to 128k yet on the 1080 Ti until we test 64k cleanly. 🗡️","textSignature":"{\"v\":1,\"id\":\"msg_04a3faafc36e14ce0169f781bab1f08190960eeb7a96ad9ca2\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":1174,"output":480,"cacheRead":54272,"cacheWrite":0,"totalTokens":55926,"cost":{"input":0.00587,"output":0.0144,"cacheRead":0.027136,"cacheWrite":0,"total":0.047406000000000004}},"stopReason":"stop","timestamp":1777828275486,"responseId":"resp_04a3faafc36e14ce0169f781b3c2948190add2ede0b96b4293"}}