{"type":"session","version":3,"id":"dbdf66a0-5003-4a0f-906b-dcd444c9c416","timestamp":"2026-05-03T20:55:57.452Z","cwd":"/home/rurouni"}
{"type":"model_change","id":"6cae8c91","parentId":null,"timestamp":"2026-05-03T20:55:57.486Z","provider":"openai-codex","modelId":"gpt-5.5"}
{"type":"thinking_level_change","id":"39e57664","parentId":"6cae8c91","timestamp":"2026-05-03T20:55:57.486Z","thinkingLevel":"off"}
{"type":"custom","customType":"model-snapshot","data":{"timestamp":1777841757493,"provider":"openai-codex","modelApi":"openai-codex-responses","modelId":"gpt-5.5"},"id":"b0f19211","parentId":"39e57664","timestamp":"2026-05-03T20:55:57.493Z"}
{"type":"message","id":"3bb8868e","parentId":"b0f19211","timestamp":"2026-05-03T20:55:57.500Z","message":{"role":"user","content":[{"type":"text","text":"can you tell me my current models my system specs my setup make it compact and to the point"}],"timestamp":1777841757498}}
{"type":"custom_message","customType":"openclaw.runtime-context","content":"Conversation info (untrusted metadata):\n```json\n{\n  \"chat_id\": \"telegram:7229867039\",\n  \"message_id\": \"1357\",\n  \"sender_id\": \"7229867039\",\n  \"sender\": \"Raymond\",\n  \"timestamp\": \"Sun 2026-05-03 13:55 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":"959dfc8a","parentId":"3bb8868e","timestamp":"2026-05-03T20:55:57.501Z"}
{"type":"message","id":"86c78534","parentId":"959dfc8a","timestamp":"2026-05-03T20:56:05.133Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_0af86d10e08ee6d00169f7b6606fa48190991210be83dd06c8\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp97ZkeYB9zhhu71XTM51RW7-7eGm_hV6XOgjcVPKHiaasljrdXYddbe6alSyUD9pBiPuTz5z1WU5TOw4T_v3lgHjkdB52IgE5VmqC96d4aSDg87aH4tv1vKL97ehQ7_IyJJEKaOmYwimACQVN0nDWwHLE_lFb_AuTq031v1S4Oqw_By7QiISxQHbXjGTykIakn1HoL3ySoUGav5lVNM0BtwlLhU4ZlypMYJx0fZzXyvGOY407Jhk2OVS2O5TKznfXI4ZzpSbi3uJbtm2hbd5Isckf_eIiR6u98aCVW7eZiBNJ451qyOaRngSJiA1JVybb_hmlFG4x5hPg6MeE2OEbsiS9LxfB7uOOMnBXAJikppbeYHAJf1ozF74F-Mby58XNOquR1ERamUlC5cT5y18ZIHy5w9T5f2gLSiAIViNrZtg5nWzGjh1ZFgOCckz068i27JK7l7lnE9V81ZlRRVsaTERHDeaMLcjH-RvlQPJX1VGCAJKyLuY5alHvN6F1R0pun53zKs1d3vox0Rk8078BhDRMEF56gkisG0DPWeHn6nQ648RcT9h6lWXfJcA5Pchau8-0UV7jVbTXIwgOnOHyBfi7ytaF226swE0tjjgLnStUOUJUwslkAXv9kLJHLgo4C_lwh1tS28XMjc3mYhxL4-GMX-96VRQwBPY9Isylbj0hmxnLm5wIcPEVf8UKAPyZL8qhkgPCwze1TlnycN9diK2768RePs3wfSU5tje5cfatAQ3RNYW8JL36d5CevwNkM_V0NqU1bW1prCY_X88-UC2bNyuWC58gdLcjJp0jG1POwxfbPrCGOqMjUsz5AT_Ttjvhbo5JCW23rHJKwZObt6w3CG5NeDKIdyD6VBAOv9-fMqhSSPrOq43PDqiSg3weIL7j2xOVefFBiGD38xn7X1mI4Nq63JNm9N5jQS9JPFXY61cIofJjF9S2sNPpg9KpZXIJEzY7-gLKi7yLC9Q4S4AmPDDtooGWfPhKXi2JXTLeG3r74Es2KDTcme9uYlOcvbPcQ2pU2TJu7Xa_MsHbvTAFkh8k8m9YCZSwQJBZ3YbmJaQXznYW0kphey3bMIC3BKV1bdBeIolpb1mjQuNLNOtofseqQ5QKmx9xadFSuurjuZcmDsb2Wp2B-y6kWScVj10Imqni1Sw9WM92Y39svRDxAImEXn197_3x3XSp4UaJUDKUjKfDfJSKR5z5xvUkzp--6RO-yu7lZy7HkiPNZnwXWMnzIpx6E2cyWnKW6wu5Avw=\",\"summary\":[]}"},{"type":"toolCall","id":"call_Hdd2K4AcvttGrPrLLH9OrmUX|fc_0af86d10e08ee6d00169f7b664db048190b09f1725b7a199fc","name":"session_status","arguments":{"sessionKey":"current"}},{"type":"toolCall","id":"call_zoL2lB6kgTtzNDyOLIQED0p9|fc_0af86d10e08ee6d00169f7b664db2881908fc620e28a58d5b3","name":"memory_search","arguments":{"query":"current models system specs storage layout OpenClaw setup local model MiniMax default model","maxResults":5,"corpus":"memory"}},{"type":"toolCall","id":"call_gadNa58sqLbxyTkSIUqQFO5Q|fc_0af86d10e08ee6d00169f7b664db348190b0f189a03710d1ba","name":"exec","arguments":{"command":"printf 'HOST\\n'; hostnamectl 2>/dev/null | sed -n '1,12p'; printf '\\nCPU\\n'; lscpu | sed -n 's/^Model name:[[:space:]]*/Model: /p;s/^CPU(s):[[:space:]]*/CPUs: /p;s/^Thread(s) per core:[[:space:]]*/Threads per core: /p;s/^Core(s) per socket:[[:space:]]*/Cores per socket: /p;s/^Socket(s):[[:space:]]*/Sockets: /p'; printf '\\nRAM\\n'; free -h; printf '\\nGPU\\n'; (command -v nvidia-smi >/dev/null && nvidia-smi --query-gpu=name,memory.total,driver_version --format=csv,noheader) || lspci | grep -Ei 'vga|3d|display' || true; printf '\\nDISKS\\n'; lsblk -o NAME,SIZE,FSTYPE,MOUNTPOINTS,MODEL | sed -n '1,20p'; printf '\\nOPENCLAW\\n'; openclaw --version 2>/dev/null || true; printf '\\nLLAMA\\n'; ps -eo pid,args | grep '[l]lama-server' || true","workdir":"/home/rurouni","yieldMs":10000,"timeout":20}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":590,"output":433,"cacheRead":12800,"cacheWrite":0,"totalTokens":13823,"cost":{"input":0.0029500000000000004,"output":0.01299,"cacheRead":0.0063999999999999994,"cacheWrite":0,"total":0.02234}},"stopReason":"toolUse","timestamp":1777841757501,"responseId":"resp_0af86d10e08ee6d00169f7b65eb1208190a2cfc0f9b817fad6"}}
{"type":"message","id":"3dc4aefb","parentId":"86c78534","timestamp":"2026-05-03T20:56:06.472Z","message":{"role":"toolResult","toolCallId":"call_Hdd2K4AcvttGrPrLLH9OrmUX|fc_0af86d10e08ee6d00169f7b664db048190b09f1725b7a199fc","toolName":"session_status","content":[{"type":"text","text":"🦞 OpenClaw 2026.5.2 (8b2a6e5)\n🧠 Model: openai-codex/gpt-5.5 · 🔑 oauth (openai-codex:tw24fr@gmail.com (tw24fr@gmail.com))\n🔄 Fallbacks: openrouter/minimax/minimax-m2.7\n🧮 Tokens: 590 in / 433 out\n🗄️ Cache: 98% hit · 37k cached, 0 new\n📚 Context: 13k/128k (10%) · 🧹 Compactions: 0\n📊 Usage: 5h 79% left ⏱3h 41m · Week 85% left ⏱6d 8h\n🧵 Session: agent:main:telegram:direct:7229867039 • updated just now\n⚙️ Execution: direct · Runtime: OpenClaw Pi Default · Think: off · Text: low · elevated:full\n🪢 Queue: steer (depth 0)"}],"details":{"ok":true,"sessionKey":"agent:main:telegram:direct:7229867039","changedModel":false,"statusText":"🦞 OpenClaw 2026.5.2 (8b2a6e5)\n🧠 Model: openai-codex/gpt-5.5 · 🔑 oauth (openai-codex:tw24fr@gmail.com (tw24fr@gmail.com))\n🔄 Fallbacks: openrouter/minimax/minimax-m2.7\n🧮 Tokens: 590 in / 433 out\n🗄️ Cache: 98% hit · 37k cached, 0 new\n📚 Context: 13k/128k (10%) · 🧹 Compactions: 0\n📊 Usage: 5h 79% left ⏱3h 41m · Week 85% left ⏱6d 8h\n🧵 Session: agent:main:telegram:direct:7229867039 • updated just now\n⚙️ Execution: direct · Runtime: OpenClaw Pi Default · Think: off · Text: low · elevated:full\n🪢 Queue: steer (depth 0)"},"isError":false,"timestamp":1777841766472}}
{"type":"message","id":"00f4b029","parentId":"3dc4aefb","timestamp":"2026-05-03T20:56:06.473Z","message":{"role":"toolResult","toolCallId":"call_zoL2lB6kgTtzNDyOLIQED0p9|fc_0af86d10e08ee6d00169f7b664db2881908fc620e28a58d5b3","toolName":"memory_search","content":[{"type":"text","text":"{\n  \"results\": [\n    {\n      \"id\": \"643c6087b2c78d68808b62f97a15b7f04dc1d36dd072e183c8c1887c5fd5515c\",\n      \"path\": \"MEMORY.md\",\n      \"startLine\": 22,\n      \"endLine\": 34,\n      \"score\": 1,\n      \"textScore\": 0.5879052580252458,\n      \"snippet\": \"- 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 / System Context\\n\\n- OpenClaw default model: `openai-codex/gpt-5.5`; default context config currently `agents.defaults.contextTokens: 128000` with compaction `reserveTokensFloor: 24000`, `maxActiveTranscriptBytes: 1000000`, `memoryFlush.softThresholdTokens: 60000`.\\n- Config backup for GPT-5.5 context tuning: `/home/rurouni/backups/context-memory-20260503-012153`.\\n-\\n\\nSource: MEMORY.md#L22-L34\",\n      \"source\": \"memory\",\n      \"citation\": \"MEMORY.md#L22-L34\",\n      \"corpus\": \"memory\"\n    },\n    {\n      \"id\": \"844c3627e037ec03d2d30d2d77d67d9d7b84bc3de59e60af0bc05afded31849d\",\n      \"path\": \"MEMORY.md\",\n      \"startLine\": 33,\n      \"endLine\": 39,\n      \"score\": 1,\n      \"textScore\": 0.5403231010809806,\n      \"snippet\": \"- Local model current target: llama.cpp `--parallel 1 --ctx-size 65536`; OpenClaw config synced to local model `contextWindow: 65536`, `maxTokens: 8192`. Verify after resets with `ps -eo pid,user,args | grep '[l]lama-server'` and llama logs showing `n_ctx = 65536`.\\n- MiniMax alias: `MiniMax -> openrouter/minimax/minimax-m2.7`. Current blocker: OpenRouter auth key returns HTTP 401 `User not found`; model ID itself exists on OpenRouter with 196608 context. Raymond planned to fix OpenRouter/API account/key.\\n- Memory search is functional via builtin text backend but embeddings are unavailable/provider unset; Raymond said to leave memory search as-is for now.\\n- Raymond intentionally allows LAN-bo\\n\\nSource: MEMORY.md#L33-L39\",\n      \"source\": \"memory\",\n      \"citation\": \"MEMORY.md#L33-L39\",\n      \"corpus\": \"memory\"\n    },\n    {\n      \"id\": \"588250f2be74ea08ecd2435134096ce62a3d51ed8c44eb17230ca5c1b1e1aa31\",\n      \"path\": \"memory/2026-05-03.md\",\n      \"startLine\": 1,\n      \"endLine\": 26,\n      \"score\": 1,\n      \"textScore\": 0.7505450315743436,\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-L26\",\n      \"source\": \"memory\",\n      \"citation\": \"memory/2026-05-03.md#L1-L26\",\n      \"corpus\": \"memory\"\n    },\n    {\n      \"id\": \"0a3109c82983fead796834863ed33c65a7ee0cd8b157dd52491ba4e41b8e2815\",\n      \"path\": \"memory/2026-05-03.md\",\n      \"startLine\": 50,\n      \"endLine\": 58,\n      \"score\": 1,\n      \"textScore\": 0.3805353266313346,\n      \"snippet\": \"- Current llama-server command: `/usr/local/bin/llama-server --model /models/gguf/Qwen3.5-4B-Q8_0.gguf --port 8081 --host 0.0.0.0 --ctx-size 65536 --n-gpu-layers 99 --batch-size 512 --ubatch-size 512 --threads 16 --parallel 1 --cont-batching --cache-type-k q8_0 --cache-type-v q8_0 --log-file /data/logs/llama/server.log`.\\n- Verified after change: llama log shows `n_ctx = 65536`, `new slot, n_ctx = 65536`, API responds on `127.0.0.1:8081`, GPU uses ~6GB/11GB VRAM, and OpenClaw status shows Gateway running.\\n\\n## Sudo/elevation notes\\n\\n- Raymond prefers not to store/share sudo password. Safer approach used: sudoers allowlist for specific service/admin commands.\\n- `sudo -n true` may still fail beca\\n\\nSource: memory/2026-05-03.md#L50-L58\",\n      \"source\": \"memory\",\n      \"citation\": \"memory/2026-05-03.md#L50-L58\",\n      \"corpus\": \"memory\"\n    },\n    {\n      \"id\": \"4619b9cf7600131d56f31966e4a37c667dcfef3c8e2f91795c6f00677ca640af\",\n      \"path\": \"memory/2026-05-03.md\",\n      \"startLine\": 22,\n      \"endLine\": 36,\n      \"score\": 1,\n      \"textScore\": 0.6196186612968058,\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\\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 was clean after adding compact 2026-05-02\\n\\nSource: memory/2026-05-03.md#L22-L36\",\n      \"source\": \"memory\",\n      \"citation\": \"memory/2026-05-03.md#L22-L36\",\n      \"corpus\": \"memory\"\n    }\n  ],\n  \"provider\": \"none\",\n  \"citations\": \"auto\",\n  \"debug\": {\n    \"backend\": \"builtin\",\n    \"effectiveMode\": \"n/a\",\n    \"searchMs\": 417,\n    \"hits\": 5\n  }\n}"}],"details":{"results":[{"id":"643c6087b2c78d68808b62f97a15b7f04dc1d36dd072e183c8c1887c5fd5515c","path":"MEMORY.md","startLine":22,"endLine":34,"score":1,"textScore":0.5879052580252458,"snippet":"- 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 / System Context\n\n- OpenClaw default model: `openai-codex/gpt-5.5`; default context config currently `agents.defaults.contextTokens: 128000` with compaction `reserveTokensFloor: 24000`, `maxActiveTranscriptBytes: 1000000`, `memoryFlush.softThresholdTokens: 60000`.\n- Config backup for GPT-5.5 context tuning: `/home/rurouni/backups/context-memory-20260503-012153`.\n-\n\nSource: MEMORY.md#L22-L34","source":"memory","citation":"MEMORY.md#L22-L34","corpus":"memory"},{"id":"844c3627e037ec03d2d30d2d77d67d9d7b84bc3de59e60af0bc05afded31849d","path":"MEMORY.md","startLine":33,"endLine":39,"score":1,"textScore":0.5403231010809806,"snippet":"- Local model current target: llama.cpp `--parallel 1 --ctx-size 65536`; OpenClaw config synced to local model `contextWindow: 65536`, `maxTokens: 8192`. Verify after resets with `ps -eo pid,user,args | grep '[l]lama-server'` and llama logs showing `n_ctx = 65536`.\n- MiniMax alias: `MiniMax -> openrouter/minimax/minimax-m2.7`. Current blocker: OpenRouter auth key returns HTTP 401 `User not found`; model ID itself exists on OpenRouter with 196608 context. Raymond planned to fix OpenRouter/API account/key.\n- Memory search is functional via builtin text backend but embeddings are unavailable/provider unset; Raymond said to leave memory search as-is for now.\n- Raymond intentionally allows LAN-bo\n\nSource: MEMORY.md#L33-L39","source":"memory","citation":"MEMORY.md#L33-L39","corpus":"memory"},{"id":"588250f2be74ea08ecd2435134096ce62a3d51ed8c44eb17230ca5c1b1e1aa31","path":"memory/2026-05-03.md","startLine":1,"endLine":26,"score":1,"textScore":0.7505450315743436,"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-L26","source":"memory","citation":"memory/2026-05-03.md#L1-L26","corpus":"memory"},{"id":"0a3109c82983fead796834863ed33c65a7ee0cd8b157dd52491ba4e41b8e2815","path":"memory/2026-05-03.md","startLine":50,"endLine":58,"score":1,"textScore":0.3805353266313346,"snippet":"- Current llama-server command: `/usr/local/bin/llama-server --model /models/gguf/Qwen3.5-4B-Q8_0.gguf --port 8081 --host 0.0.0.0 --ctx-size 65536 --n-gpu-layers 99 --batch-size 512 --ubatch-size 512 --threads 16 --parallel 1 --cont-batching --cache-type-k q8_0 --cache-type-v q8_0 --log-file /data/logs/llama/server.log`.\n- Verified after change: llama log shows `n_ctx = 65536`, `new slot, n_ctx = 65536`, API responds on `127.0.0.1:8081`, GPU uses ~6GB/11GB VRAM, and OpenClaw status shows Gateway running.\n\n## Sudo/elevation notes\n\n- Raymond prefers not to store/share sudo password. Safer approach used: sudoers allowlist for specific service/admin commands.\n- `sudo -n true` may still fail beca\n\nSource: memory/2026-05-03.md#L50-L58","source":"memory","citation":"memory/2026-05-03.md#L50-L58","corpus":"memory"},{"id":"4619b9cf7600131d56f31966e4a37c667dcfef3c8e2f91795c6f00677ca640af","path":"memory/2026-05-03.md","startLine":22,"endLine":36,"score":1,"textScore":0.6196186612968058,"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\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 was clean after adding compact 2026-05-02\n\nSource: memory/2026-05-03.md#L22-L36","source":"memory","citation":"memory/2026-05-03.md#L22-L36","corpus":"memory"}],"provider":"none","citations":"auto","debug":{"backend":"builtin","effectiveMode":"n/a","searchMs":417,"hits":5}},"isError":false,"timestamp":1777841766472}}
{"type":"message","id":"4afbc5df","parentId":"00f4b029","timestamp":"2026-05-03T20:56:06.473Z","message":{"role":"toolResult","toolCallId":"call_gadNa58sqLbxyTkSIUqQFO5Q|fc_0af86d10e08ee6d00169f7b664db348190b0f189a03710d1ba","toolName":"exec","content":[{"type":"text","text":"HOST\n Static hostname: debian-ai\n       Icon name: computer-desktop\n         Chassis: desktop 🖥️\n      Machine ID: f128e4cc8a424f58880542ef8e7e663a\n         Boot ID: f5b742ed95e94780a1d8802729de5dec\nOperating System: Debian GNU/Linux 13 (trixie)\n          Kernel: Linux 6.12.85+deb13-amd64\n    Architecture: x86-64\n Hardware Vendor: Dell Inc.\n  Hardware Model: Precision Tower 5810\nFirmware Version: A34\n   Firmware Date: Mon 2020-10-19\n\nCPU\nCPUs: 32\nModel: Intel(R) Xeon(R) CPU E5-2697A v4 @ 2.60GHz\nThreads per core: 2\nCores per socket: 16\nSockets: 1\n\nRAM\n               total        used        free      shared  buff/cache   available\nMem:            62Gi       2.6Gi        37Gi       204Mi        24Gi        60Gi\nSwap:           12Gi       256Ki        12Gi\n\nGPU\nNVIDIA GeForce GTX 1080 Ti, 11264 MiB, 550.163.01\n\nDISKS\nNAME          SIZE FSTYPE            MOUNTPOINTS MODEL\nsda         745.2G linux_raid_member             INTEL SSDSC2BX800G4\n└─md0         1.5T ext4              /data       \nsdb           1.8T                               Hitachi HUA723020ALA641\n└─sdb1        1.8T ext4              /backup     \nsdc         745.2G linux_raid_member             INTEL SSDSC2BX800G4\n└─md0         1.5T ext4              /data       \nsdd         465.8G                               Samsung SSD 840 EVO 500GB\n└─sdd1      465.8G ext4              /models     \nsde           1.8T                               Hitachi HUA723020ALA641\n└─sde1        1.8T ext4              /archive    \nnvme0n1     238.5G                               TEAM TM8FP6256G\n├─nvme0n1p1   976M vfat              /boot/efi   \n├─nvme0n1p2 225.2G ext4              /           \n└─nvme0n1p3  12.3G swap              [SWAP]      \n\nOPENCLAW\nOpenClaw 2026.5.2 (8b2a6e5)\n\nLLAMA\n  46623 /usr/local/bin/llama-server --model /models/gguf/Qwen3.5-4B-Q8_0.gguf --port 8081 --host 0.0.0.0 --ctx-size 65536 --n-gpu-layers 99 --batch-size 512 --ubatch-size 512 --threads 16 --parallel 1 --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":398,"aggregated":"HOST\n Static hostname: debian-ai\n       Icon name: computer-desktop\n         Chassis: desktop 🖥️\n      Machine ID: f128e4cc8a424f58880542ef8e7e663a\n         Boot ID: f5b742ed95e94780a1d8802729de5dec\nOperating System: Debian GNU/Linux 13 (trixie)\n          Kernel: Linux 6.12.85+deb13-amd64\n    Architecture: x86-64\n Hardware Vendor: Dell Inc.\n  Hardware Model: Precision Tower 5810\nFirmware Version: A34\n   Firmware Date: Mon 2020-10-19\n\nCPU\nCPUs: 32\nModel: Intel(R) Xeon(R) CPU E5-2697A v4 @ 2.60GHz\nThreads per core: 2\nCores per socket: 16\nSockets: 1\n\nRAM\n               total        used        free      shared  buff/cache   available\nMem:            62Gi       2.6Gi        37Gi       204Mi        24Gi        60Gi\nSwap:           12Gi       256Ki        12Gi\n\nGPU\nNVIDIA GeForce GTX 1080 Ti, 11264 MiB, 550.163.01\n\nDISKS\nNAME          SIZE FSTYPE            MOUNTPOINTS MODEL\nsda         745.2G linux_raid_member             INTEL SSDSC2BX800G4\n└─md0         1.5T ext4              /data       \nsdb           1.8T                               Hitachi HUA723020ALA641\n└─sdb1        1.8T ext4              /backup     \nsdc         745.2G linux_raid_member             INTEL SSDSC2BX800G4\n└─md0         1.5T ext4              /data       \nsdd         465.8G                               Samsung SSD 840 EVO 500GB\n└─sdd1      465.8G ext4              /models     \nsde           1.8T                               Hitachi HUA723020ALA641\n└─sde1        1.8T ext4              /archive    \nnvme0n1     238.5G                               TEAM TM8FP6256G\n├─nvme0n1p1   976M vfat              /boot/efi   \n├─nvme0n1p2 225.2G ext4              /           \n└─nvme0n1p3  12.3G swap              [SWAP]      \n\nOPENCLAW\nOpenClaw 2026.5.2 (8b2a6e5)\n\nLLAMA\n  46623 /usr/local/bin/llama-server --model /models/gguf/Qwen3.5-4B-Q8_0.gguf --port 8081 --host 0.0.0.0 --ctx-size 65536 --n-gpu-layers 99 --batch-size 512 --ubatch-size 512 --threads 16 --parallel 1 --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":1777841766472}}
{"type":"message","id":"79895df5","parentId":"4afbc5df","timestamp":"2026-05-03T20:56:13.181Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_0af86d10e08ee6d00169f7b6678d7081908a60749cc02afb3c\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp97ZorBd9f9mSg-TUMejzknfMnv5bxiiEUGeZa7hqVq6q44mQe1edQXN5Z0UDvw1sD6BqG-LjQ5ihKU6Wy-xfK9hfB-Ng__DClKQL4pz704EBPVpw5wD8QtDFTv_zdm14lyN-4hnqIOJNTdjxZ66j7E49Y5Y4GuL2-ThUhsZZe7k_dpXIwjYQt_KF7hm2TapjyRsIn_FsjymCBPU_M_4_qWJozPIELAfYfrRfp-8QYVPLa5lTmRhmwhqx12iJaVlGWWTVKP5pM3_kBBZEHLbdmAqnxykbhHH0IplC53Yt_nnsy4Wm9Ey2fLuyiwc1OYhNTAFcQMinGKnDxI7AgT1DrYVGLKja5bBw3oSYs7BNMnktPvE-obAXmLvXdYEaI5ouiY6WnQvL_uKwEhYn7pU-hSJnLBlA6wnutA_ClQf-57yCpr-1mM_QMBKzfVFsrISKECu_36E2AkilwwP1z-MbCO-oqzHMEbCIhG6lAntuWsE8YMmgl9t7m9TJmlb711LT_47_juY0cXxQ8xCjCDJaIQAIUGZ1-0KHeR-g59gNucc-4MQ0MTCHv8ar2NFZXhjlewL2A08hX1ovAm0lbGPIao3R_MF-T_gBOhk_A6bnbmXamXxZ2swa5N88p5zdtxXs4yKRSv5u7xpDUp87KOzO2UUh_pE1eiGzRLdAV-M0OvP_r94Qat2aR5yrZAxaUSBeNx7G07nJHWcc3eHcvsUWYzHZkolqaPPaX-ZLVPnSu2vr17WznYoPxjgIwq1rmp21zjq5cn-05NOrU5vqd2kw5uCZLUOSQByWjGjJ9m1TdNOAIqgijkDGER1-zK_N7wGslJiT7ujrkBqeuhN14geRXFk6N5xDIuhQBr-zSOJgsYqpa10Q9eutSfYKd-wVDhN_Mv3hTHc-6wZ-rkjbAmVZS6u3HVxxG2AZseyxKD3faDBImNRIQ6skHdw4FjMdfvLfDsvx3MO-1jNX-i1TjLqMG5Z9ZQJd_6WudQlccZoSN8z7M2QhIDrmN2NClesgBkiFVpmslxF5OC9x1n5MLKp0p7gj9AOG28yifld848ozY_UnnUmA1ZgfUeDUc1QB5WNhuGB5ap9fMqVHBwcJs0O4R8qbyw-ZfRph0uTJ8PHNcPmojUMuR9ks17e8WPEjq2hUuGQ5j_cWw-3NaXrCD4ZhtsOcjmhZJwsSzy50hw6vnLx98D81u5dG9cI5lYR8oqoNAz24\",\"summary\":[]}"},{"type":"text","text":"Bet — compact snapshot:\n\n**Models**\n- Main: `openai-codex/gpt-5.5`\n- Fallback: `openrouter/minimax/minimax-m2.7` / alias `MiniMax`\n- Local: `llamacpp/Qwen3.5-4B-Q8_0.gguf`\n  - Running via `llama-server`\n  - Port `8081`\n  - Context `65,536`\n  - Max tokens config `8,192`\n\n**OpenClaw**\n- Version: `2026.5.2`\n- Context: `128k`\n- Current session: Telegram direct\n- Reasoning: off\n- Elevated exec: full\n\n**System**\n- Host: `debian-ai`\n- OS: Debian 13 Trixie\n- Kernel: `6.12.85+deb13-amd64`\n- Machine: Dell Precision Tower 5810\n\n**CPU/RAM/GPU**\n- CPU: Intel Xeon E5-2697A v4\n- 16 cores / 32 threads\n- RAM: `62 GiB`\n- Swap: `12 GiB`\n- GPU: NVIDIA GTX 1080 Ti, `11GB VRAM`\n- Driver: `550.163.01`\n\n**Storage**\n- `/` NVMe: `238GB`\n- `/models`: Samsung SSD `466GB`\n- `/data`: RAID0 Intel SSDs `1.5TB`\n- `/backup`: HDD `1.8TB`\n- `/archive`: HDD `1.8TB`\n\n**Notable setup**\n- Backup symlink: `/home/rurouni/backups → /backup/rurouni/openclaw-backups`\n- Local model uses `/models/gguf/Qwen3.5-4B-Q8_0.gguf`\n- Llama logs at `/data/logs/llama/server.log`\n- Memory search works with builtin text backend; embeddings currently not configured.","textSignature":"{\"v\":1,\"id\":\"msg_0af86d10e08ee6d00169f7b6686ebc81909bc277ced0e78964\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":3221,"output":467,"cacheRead":13312,"cacheWrite":0,"totalTokens":17000,"cost":{"input":0.016105,"output":0.01401,"cacheRead":0.006656,"cacheWrite":0,"total":0.036771000000000005}},"stopReason":"stop","timestamp":1777841766475,"responseId":"resp_0af86d10e08ee6d00169f7b666b1088190bfe1ff345b860f83"}}