{"type":"session","version":3,"id":"28b60577-c433-4c14-9b35-25733568288a","timestamp":"2026-05-03T23:41:13.530Z","cwd":"/home/rurouni"}
{"type":"model_change","id":"68b98baf","parentId":null,"timestamp":"2026-05-03T23:41:13.624Z","provider":"openai-codex","modelId":"gpt-5.5"}
{"type":"thinking_level_change","id":"7eed3966","parentId":"68b98baf","timestamp":"2026-05-03T23:41:13.624Z","thinkingLevel":"off"}
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{"type":"message","id":"0d32d3ed","parentId":"0f1d9cc2","timestamp":"2026-05-03T23:41:13.641Z","message":{"role":"user","content":[{"type":"text","text":"can you clean up our memoery compress it orginize it also can you check our local models config is it optmized it works right now just want to make sure we have the best model for our set up also i need to add an embedder soon not sure which yet but i need to make sure our gpu has enough room or should i have gone with a bit smaller local ai"}],"timestamp":1777851673639}}
{"type":"custom_message","customType":"openclaw.runtime-context","content":"Conversation info (untrusted metadata):\n```json\n{\n \"chat_id\": \"telegram:7229867039\",\n \"message_id\": \"1496\",\n \"sender_id\": \"7229867039\",\n \"sender\": \"Raymond\",\n \"timestamp\": \"Sun 2026-05-03 16:41 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":"c51e448d","parentId":"0d32d3ed","timestamp":"2026-05-03T23:41:13.642Z"}
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{"type":"message","id":"059d4f62","parentId":"533297b7","timestamp":"2026-05-03T23:41:18.914Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_bMJw7VN3B5W8pw5nIH3YYY01|fc_00a3ea27180420c50169f7dd1e5a088197a8cf3e538f122731","name":"memory_search","arguments":{"query":"local model config GPU VRAM Qwen embedder memory hygiene OpenClaw current setup","maxResults":8,"corpus":"all"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":6230,"output":44,"cacheRead":7680,"cacheWrite":0,"totalTokens":13954,"cost":{"input":0.031150000000000004,"output":0.00132,"cacheRead":0.0038399999999999997,"cacheWrite":0,"total":0.03631000000000001}},"stopReason":"toolUse","timestamp":1777851677195,"responseId":"resp_00a3ea27180420c50169f7dd1d6e5c8197a9d624cd0d431774"}}
{"type":"message","id":"cb191f4e","parentId":"059d4f62","timestamp":"2026-05-03T23:41:30.293Z","message":{"role":"toolResult","toolCallId":"call_bMJw7VN3B5W8pw5nIH3YYY01|fc_00a3ea27180420c50169f7dd1e5a088197a8cf3e538f122731","toolName":"memory_search","content":[{"type":"text","text":"{\n \"results\": [\n {\n \"id\": \"3eddda2eea8e65173aeef371e5c41446d545102e13162dee1d922978567f4f2b\",\n \"path\": \"MEMORY.md\",\n \"startLine\": 24,\n \"endLine\": 35,\n \"score\": 1,\n \"textScore\": 0.39703497868052856,\n \"snippet\": \"- 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 version: `2026.5.2`. Primary model: `openai-codex/gpt-5.5` via ChatGPT Plus OAuth; do **not** replace unless Raymond asks.\\n- Current model routing: primary `openai-codex/gpt-5.5`; fallback 1 `openrouter/minimax/minimax-m2.7`; fallback 2 `local-qwen/qwen3.5-9b`.\\n- Current local model: Qwen3.5-9B Q5_K_M GGUF at `/home/rurouni/models/qwen3.5-9b/Qwen3.5-9B-Q5_K_M.gguf`, served by systemd service `llama-local` on `http://127.0.0.1:8081/v1`.\\n- Local service target: `/usr/local/bin/llama-serv\\n\\nSource: MEMORY.md#L24-L35\",\n \"source\": \"memory\",\n \"citation\": \"MEMORY.md#L24-L35\",\n \"corpus\": \"memory\"\n },\n {\n \"id\": \"13519da9a1fa9f431d5f78c3538821abeac55bb592b9393a6623feb4d99e279e\",\n \"path\": \"MEMORY.md\",\n \"startLine\": 34,\n \"endLine\": 40,\n \"score\": 1,\n \"textScore\": 0.3728378693629649,\n \"snippet\": \"- OpenClaw config has custom provider `models.providers.local-qwen` pointing to `http://127.0.0.1:8081/v1`, model id `qwen3.5-9b`, `contextWindow: 65536`, `maxTokens: 8192`, zero cost.\\n- OpenRouter is a built-in provider; no custom OpenRouter provider is needed. `OPENROUTER_API_KEY` is configured in OpenClaw env/config; never print the full key. Connectivity verified with MiniMax M2.7 listed as `minimax/minimax-m2.7`.\\n- Heartbeat/sub-agent local model paths are schema-correct as `agents.defaults.heartbeat.model` and `agents.defaults.subagents.model`, both set to `local-qwen/qwen3.5-9b`.\\n- Old local Qwen3.5-4B was removed from OpenClaw config and moved to cold storage: `/archive/models/old-qw\\n\\nSource: MEMORY.md#L34-L40\",\n \"source\": \"memory\",\n \"citation\": \"MEMORY.md#L34-L40\",\n \"corpus\": \"memory\"\n },\n {\n \"id\": \"4c2da6b2467a9066b9c4d6d3cff4da985fcc6404688d67dee1cecae5472540c6\",\n \"path\": \"MEMORY.md\",\n \"startLine\": 39,\n \"endLine\": 51,\n \"score\": 1,\n \"textScore\": 0.6200017740016397,\n \"snippet\": \"- AI storage env: `HF_HOME=/data/cache/hf`, `HF_HUB_CACHE=/data/cache/hf/hub`, `TRANSFORMERS_CACHE=/data/cache/hf/transformers`, `HF_DATASETS_CACHE=/data/cache/hf/datasets`, `TMPDIR=/data/tmp`; persisted in `~/.config/environment.d/10-ai-storage.conf`, `~/.profile`, `~/.bashrc`, and relevant service env.\\n- Storage layout: `/` + `/home/rurouni` on NVMe root; `/backup` dedicated HDD; `/archive` dedicated HDD cold storage; `/models` Samsung SSD; `/data` RAID0 over two Intel SSDs; `/dev/shm/ai-hot` 16G tmpfs.\\n- Backup path: `/home/rurouni/backups` is a compatibility symlink to `/backup/rurouni/openclaw-backups`.\\n- Raymond intentionally allows LAN-bound OpenClaw behind a tight OPNsense firewall;\\n\\nSource: MEMORY.md#L39-L51\",\n \"source\": \"memory\",\n \"citation\": \"MEMORY.md#L39-L51\",\n \"corpus\": \"memory\"\n },\n {\n \"id\": \"668547a12f0894ef10db306921a9c679649d0129cf4faad61a312d58c980ba2c\",\n \"path\": \"MEMORY.md\",\n \"startLine\": 48,\n \"endLine\": 53,\n \"score\": 1,\n \"textScore\": 0.497345900293702,\n \"snippet\": \"- Keep `MEMORY.md` short and high-signal; avoid duplicating identity/personality already in `SOUL.md`, `USER.md`, and `IDENTITY.md`.\\n- Use `memory/YYYY-MM-DD.md` for concise daily logs and decisions.\\n- Active indexed markdown should stay small: intended active files are `MEMORY.md`, `memory/2026-05-02.md`, and current daily notes only.\\n- Move raw fragments/session summaries to non-indexed `.txt` archive files after distilling them.\\n- Do not load or quote private memory in group chats.\\n\\nSource: MEMORY.md#L48-L53\",\n \"source\": \"memory\",\n \"citation\": \"MEMORY.md#L48-L53\",\n \"corpus\": \"memory\"\n },\n {\n \"id\": \"292145c3c1bb969bd3d501e14be0a032391dd91253b0537b29ff1923ecd13a34\",\n \"path\": \"memory/2026-05-03.md\",\n \"startLine\": 28,\n \"endLine\": 38,\n \"score\": 1,\n \"textScore\": 0.40522031736692327,\n \"snippet\": \"- OpenClaw config now has custom provider `local-qwen/qwen3.5-9b`; fallback chain is `openrouter/minimax/minimax-m2.7` then `local-qwen/qwen3.5-9b`.\\n- OpenRouter is used as built-in provider only; no custom OpenRouter provider entry needed. MiniMax M2.7 connectivity verified through OpenRouter model list.\\n- Schema-correct local settings: `agents.defaults.heartbeat.model = local-qwen/qwen3.5-9b` and `agents.defaults.subagents.model = local-qwen/qwen3.5-9b`.\\n- Removed stale 4B config refs (`llamacpp`, `custom-127-0-0-1-8081`, old aliases) and moved old 4B GGUF to cold storage: `/archive/models/old-qwen/Qwen3.5-4B-Q8_0.gguf`.\\n- Gateway verified running after cleanup; `openclaw models status` sh\\n\\nSource: memory/2026-05-03.md#L28-L38\",\n \"source\": \"memory\",\n \"citation\": \"memory/2026-05-03.md#L28-L38\",\n \"corpus\": \"memory\"\n },\n {\n \"id\": \"da896d85a91ca58ce9a1fa9040981d714800f91a3256fa8480e57f215db6aafd\",\n \"path\": \"memory/2026-05-03.md\",\n \"startLine\": 18,\n \"endLine\": 30,\n \"score\": 1,\n \"textScore\": 0.4000145016927642,\n \"snippet\": \"- Drive layout verified: root/home on NVMe; `/backup` HDD; `/archive` HDD cold storage; `/models` Samsung SSD; `/data` RAID0 Intel SSDs; `/dev/shm/ai-hot` 16G tmpfs.\\n- AI storage env persisted: HF cache under `/data/cache/hf`, temp under `/data/tmp`; model downloads/final models separated under `/models`.\\n- Raymond intentionally keeps OpenClaw LAN-bound behind OPNsense; do not change LAN bind/firewall posture without asking.\\n\\n## OpenClaw / model stack\\n\\n- Primary model kept unchanged: `openai-codex/gpt-5.5` via ChatGPT Plus OAuth.\\n- Replaced local Qwen3.5-4B with Qwen3.5-9B Q5_K_M GGUF from `unsloth/Qwen3.5-9B-GGUF` at `/home/rurouni/models/qwen3.5-9b/Qwen3.5-9B-Q5_K_M.gguf`.\\n- `llama-local`\\n\\nSource: memory/2026-05-03.md#L18-L30\",\n \"source\": \"memory\",\n \"citation\": \"memory/2026-05-03.md#L18-L30\",\n \"corpus\": \"memory\"\n },\n {\n \"id\": \"cecae29acf26e12019c0765ed2a5c9fc7bfac699156d05b6ebcd7855537a45f1\",\n \"path\": \"memory/2026-05-02.md\",\n \"startLine\": 1,\n \"endLine\": 18,\n \"score\": 0.8117560284146885,\n \"textScore\": 0.000001642449776230671,\n \"snippet\": \"# 2026-05-02 Daily Notes\\n\\n## Bootstrap / identity\\n\\n- Workspace bootstrap began and Raymond named the assistant **Ruruni** with emoji π‘οΈ.\\n- Raymond defined Ruruni as his personal AI companion: calm digital ronin, terminal homie, technical familiar, and loyal second brain.\\n- Durable persona/preferences were moved into top-level identity files: `IDENTITY.md`, `SOUL.md`, `USER.md`, and later `/home/rurouni/MEMORY.md`.\\n\\n## Stable preferences learned\\n\\n- Raymond wants casual, direct, warm, witty replies with light modern slang only when natural.\\n- Technical help should start with the answer/next action, use copy/paste commands, prefer safe reversible steps, and warn before risky commands.\\n- Suppor\\n\\nSource: memory/2026-05-02.md#L1-L18\",\n \"source\": \"memory\",\n \"citation\": \"memory/2026-05-02.md#L1-L18\",\n \"corpus\": \"memory\"\n },\n {\n \"id\": \"3434498b0065f4f2b3b0b1a761b0f8a8deb0b1c8aca34fd6909bd2448e5f5542\",\n \"path\": \"memory/2026-05-03.md\",\n \"startLine\": 1,\n \"endLine\": 23,\n \"score\": 0.8113811020054229,\n \"textScore\": 0.0000017916605954811334,\n \"snippet\": \"# 2026-05-03 Daily Notes\\n\\n## Identity / preferences\\n\\n- Raymond confirmed assistant identity as **Ruruni** π‘οΈ: calm digital ronin, terminal homie, technical familiar, loyal second brain.\\n- Durable identity and preferences live in `/home/rurouni/MEMORY.md`, `/home/rurouni/SOUL.md`, `/home/rurouni/IDENTITY.md`, and `/home/rurouni/USER.md`.\\n\\n## Context / memory cleanup\\n\\n- Raymond reported OpenClaw/GPT-5 compacting too often. Updated config to `agents.defaults.contextTokens: 128000`; compaction `reserveTokensFloor: 24000`; `maxActiveTranscriptBytes: 1000000`; `memoryFlush.softThresholdTokens: 60000`.\\n- Context tuning backup: `/home/rurouni/backups/context-memory-20260503-012153`.\\n- Memory search\\n\\nSource: memory/2026-05-03.md#L1-L23\",\n \"source\": \"memory\",\n \"citation\": \"memory/2026-05-03.md#L1-L23\",\n \"corpus\": \"memory\"\n }\n ],\n \"provider\": \"none\",\n \"citations\": \"auto\",\n \"debug\": {\n \"backend\": \"builtin\",\n \"effectiveMode\": \"n/a\",\n \"searchMs\": 11281,\n \"hits\": 8\n }\n}"}],"details":{"results":[{"id":"3eddda2eea8e65173aeef371e5c41446d545102e13162dee1d922978567f4f2b","path":"MEMORY.md","startLine":24,"endLine":35,"score":1,"textScore":0.39703497868052856,"snippet":"- 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 version: `2026.5.2`. Primary model: `openai-codex/gpt-5.5` via ChatGPT Plus OAuth; do **not** replace unless Raymond asks.\n- Current model routing: primary `openai-codex/gpt-5.5`; fallback 1 `openrouter/minimax/minimax-m2.7`; fallback 2 `local-qwen/qwen3.5-9b`.\n- Current local model: Qwen3.5-9B Q5_K_M GGUF at `/home/rurouni/models/qwen3.5-9b/Qwen3.5-9B-Q5_K_M.gguf`, served by systemd service `llama-local` on `http://127.0.0.1:8081/v1`.\n- Local service target: `/usr/local/bin/llama-serv\n\nSource: MEMORY.md#L24-L35","source":"memory","citation":"MEMORY.md#L24-L35","corpus":"memory"},{"id":"13519da9a1fa9f431d5f78c3538821abeac55bb592b9393a6623feb4d99e279e","path":"MEMORY.md","startLine":34,"endLine":40,"score":1,"textScore":0.3728378693629649,"snippet":"- OpenClaw config has custom provider `models.providers.local-qwen` pointing to `http://127.0.0.1:8081/v1`, model id `qwen3.5-9b`, `contextWindow: 65536`, `maxTokens: 8192`, zero cost.\n- OpenRouter is a built-in provider; no custom OpenRouter provider is needed. `OPENROUTER_API_KEY` is configured in OpenClaw env/config; never print the full key. Connectivity verified with MiniMax M2.7 listed as `minimax/minimax-m2.7`.\n- Heartbeat/sub-agent local model paths are schema-correct as `agents.defaults.heartbeat.model` and `agents.defaults.subagents.model`, both set to `local-qwen/qwen3.5-9b`.\n- Old local Qwen3.5-4B was removed from OpenClaw config and moved to cold storage: `/archive/models/old-qw\n\nSource: MEMORY.md#L34-L40","source":"memory","citation":"MEMORY.md#L34-L40","corpus":"memory"},{"id":"4c2da6b2467a9066b9c4d6d3cff4da985fcc6404688d67dee1cecae5472540c6","path":"MEMORY.md","startLine":39,"endLine":51,"score":1,"textScore":0.6200017740016397,"snippet":"- AI storage env: `HF_HOME=/data/cache/hf`, `HF_HUB_CACHE=/data/cache/hf/hub`, `TRANSFORMERS_CACHE=/data/cache/hf/transformers`, `HF_DATASETS_CACHE=/data/cache/hf/datasets`, `TMPDIR=/data/tmp`; persisted in `~/.config/environment.d/10-ai-storage.conf`, `~/.profile`, `~/.bashrc`, and relevant service env.\n- Storage layout: `/` + `/home/rurouni` on NVMe root; `/backup` dedicated HDD; `/archive` dedicated HDD cold storage; `/models` Samsung SSD; `/data` RAID0 over two Intel SSDs; `/dev/shm/ai-hot` 16G tmpfs.\n- Backup path: `/home/rurouni/backups` is a compatibility symlink to `/backup/rurouni/openclaw-backups`.\n- Raymond intentionally allows LAN-bound OpenClaw behind a tight OPNsense firewall;\n\nSource: MEMORY.md#L39-L51","source":"memory","citation":"MEMORY.md#L39-L51","corpus":"memory"},{"id":"668547a12f0894ef10db306921a9c679649d0129cf4faad61a312d58c980ba2c","path":"MEMORY.md","startLine":48,"endLine":53,"score":1,"textScore":0.497345900293702,"snippet":"- Keep `MEMORY.md` short and high-signal; avoid duplicating identity/personality already in `SOUL.md`, `USER.md`, and `IDENTITY.md`.\n- Use `memory/YYYY-MM-DD.md` for concise daily logs and decisions.\n- Active indexed markdown should stay small: intended active files are `MEMORY.md`, `memory/2026-05-02.md`, and current daily notes only.\n- Move raw fragments/session summaries to non-indexed `.txt` archive files after distilling them.\n- Do not load or quote private memory in group chats.\n\nSource: MEMORY.md#L48-L53","source":"memory","citation":"MEMORY.md#L48-L53","corpus":"memory"},{"id":"292145c3c1bb969bd3d501e14be0a032391dd91253b0537b29ff1923ecd13a34","path":"memory/2026-05-03.md","startLine":28,"endLine":38,"score":1,"textScore":0.40522031736692327,"snippet":"- OpenClaw config now has custom provider `local-qwen/qwen3.5-9b`; fallback chain is `openrouter/minimax/minimax-m2.7` then `local-qwen/qwen3.5-9b`.\n- OpenRouter is used as built-in provider only; no custom OpenRouter provider entry needed. MiniMax M2.7 connectivity verified through OpenRouter model list.\n- Schema-correct local settings: `agents.defaults.heartbeat.model = local-qwen/qwen3.5-9b` and `agents.defaults.subagents.model = local-qwen/qwen3.5-9b`.\n- Removed stale 4B config refs (`llamacpp`, `custom-127-0-0-1-8081`, old aliases) and moved old 4B GGUF to cold storage: `/archive/models/old-qwen/Qwen3.5-4B-Q8_0.gguf`.\n- Gateway verified running after cleanup; `openclaw models status` sh\n\nSource: memory/2026-05-03.md#L28-L38","source":"memory","citation":"memory/2026-05-03.md#L28-L38","corpus":"memory"},{"id":"da896d85a91ca58ce9a1fa9040981d714800f91a3256fa8480e57f215db6aafd","path":"memory/2026-05-03.md","startLine":18,"endLine":30,"score":1,"textScore":0.4000145016927642,"snippet":"- Drive layout verified: root/home on NVMe; `/backup` HDD; `/archive` HDD cold storage; `/models` Samsung SSD; `/data` RAID0 Intel SSDs; `/dev/shm/ai-hot` 16G tmpfs.\n- AI storage env persisted: HF cache under `/data/cache/hf`, temp under `/data/tmp`; model downloads/final models separated under `/models`.\n- Raymond intentionally keeps OpenClaw LAN-bound behind OPNsense; do not change LAN bind/firewall posture without asking.\n\n## OpenClaw / model stack\n\n- Primary model kept unchanged: `openai-codex/gpt-5.5` via ChatGPT Plus OAuth.\n- Replaced local Qwen3.5-4B with Qwen3.5-9B Q5_K_M GGUF from `unsloth/Qwen3.5-9B-GGUF` at `/home/rurouni/models/qwen3.5-9b/Qwen3.5-9B-Q5_K_M.gguf`.\n- `llama-local`\n\nSource: memory/2026-05-03.md#L18-L30","source":"memory","citation":"memory/2026-05-03.md#L18-L30","corpus":"memory"},{"id":"cecae29acf26e12019c0765ed2a5c9fc7bfac699156d05b6ebcd7855537a45f1","path":"memory/2026-05-02.md","startLine":1,"endLine":18,"score":0.8117560284146885,"textScore":0.000001642449776230671,"snippet":"# 2026-05-02 Daily Notes\n\n## Bootstrap / identity\n\n- Workspace bootstrap began and Raymond named the assistant **Ruruni** with emoji π‘οΈ.\n- Raymond defined Ruruni as his personal AI companion: calm digital ronin, terminal homie, technical familiar, and loyal second brain.\n- Durable persona/preferences were moved into top-level identity files: `IDENTITY.md`, `SOUL.md`, `USER.md`, and later `/home/rurouni/MEMORY.md`.\n\n## Stable preferences learned\n\n- Raymond wants casual, direct, warm, witty replies with light modern slang only when natural.\n- Technical help should start with the answer/next action, use copy/paste commands, prefer safe reversible steps, and warn before risky commands.\n- Suppor\n\nSource: memory/2026-05-02.md#L1-L18","source":"memory","citation":"memory/2026-05-02.md#L1-L18","corpus":"memory"},{"id":"3434498b0065f4f2b3b0b1a761b0f8a8deb0b1c8aca34fd6909bd2448e5f5542","path":"memory/2026-05-03.md","startLine":1,"endLine":23,"score":0.8113811020054229,"textScore":0.0000017916605954811334,"snippet":"# 2026-05-03 Daily Notes\n\n## Identity / preferences\n\n- Raymond confirmed assistant identity as **Ruruni** π‘οΈ: calm digital ronin, terminal homie, technical familiar, loyal second brain.\n- Durable identity and preferences live in `/home/rurouni/MEMORY.md`, `/home/rurouni/SOUL.md`, `/home/rurouni/IDENTITY.md`, and `/home/rurouni/USER.md`.\n\n## Context / memory cleanup\n\n- Raymond reported OpenClaw/GPT-5 compacting too often. Updated config to `agents.defaults.contextTokens: 128000`; compaction `reserveTokensFloor: 24000`; `maxActiveTranscriptBytes: 1000000`; `memoryFlush.softThresholdTokens: 60000`.\n- Context tuning backup: `/home/rurouni/backups/context-memory-20260503-012153`.\n- Memory search\n\nSource: memory/2026-05-03.md#L1-L23","source":"memory","citation":"memory/2026-05-03.md#L1-L23","corpus":"memory"}],"provider":"none","citations":"auto","debug":{"backend":"builtin","effectiveMode":"n/a","searchMs":11281,"hits":8}},"isError":false,"timestamp":1777851690292}}
{"type":"message","id":"dd48f49d","parentId":"cb191f4e","timestamp":"2026-05-03T23:41:35.587Z","message":{"role":"assistant","content":[{"type":"text","text":"Bet β Iβll clean the memory safely first, then verify the local model config against actual GPU/service state. Iβll avoid touching anything destructive.","textSignature":"{\"v\":1,\"id\":\"msg_00a3ea27180420c50169f7dd2bb81c8197906bd876ca7801d6\",\"phase\":\"commentary\"}"},{"type":"toolCall","id":"call_CzJCh3hYImKoo5hbt4tSeTPw|fc_00a3ea27180420c50169f7dd2f6ce88197bcce6f9c9875877e","name":"exec","arguments":{"command":"find /home/rurouni -maxdepth 3 \\( -name 'MEMORY.md' -o -path '/home/rurouni/memory/*' \\) -type f -printf '%p\\t%s bytes\\n' | sort","workdir":"/home/rurouni","yieldMs":10000,"timeout":30}},{"type":"toolCall","id":"call_hTi2HZOAN549MjDRu7Ni5tzn|fc_00a3ea27180420c50169f7dd2f6cf88197b83577c0e62f9a0f","name":"exec","arguments":{"command":"set -o pipefail\nprintf '=== openclaw status ===\\n'; openclaw status 2>/dev/null || true\nprintf '\\n=== models status ===\\n'; openclaw models status 2>/dev/null || true\nprintf '\\n=== llama service ===\\n'; systemctl --user status llama-local --no-pager 2>/dev/null || systemctl status llama-local --no-pager 2>/dev/null || true\nprintf '\\n=== nvidia ===\\n'; nvidia-smi --query-gpu=name,memory.total,memory.used,memory.free,utilization.gpu --format=csv,noheader,nounits 2>/dev/null || true\nprintf '\\n=== llama endpoint ===\\n'; curl -s http://127.0.0.1:8081/v1/models | head -c 1000 || true","workdir":"/home/rurouni","yieldMs":10000,"timeout":60}},{"type":"toolCall","id":"call_sBHF4XJDqr8AfbLC8ty2v4Yd|fc_00a3ea27180420c50169f7dd2f6d008197be2a0a713ec029a3","name":"exec","arguments":{"command":"find /home/rurouni/.config -maxdepth 4 -type f \\( -iname '*openclaw*' -o -iname '*config*' \\) -printf '%p\\n' 2>/dev/null | sort | head -100","workdir":"/home/rurouni","yieldMs":10000,"timeout":30}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":2996,"output":443,"cacheRead":13824,"cacheWrite":0,"totalTokens":17263,"cost":{"input":0.014980000000000002,"output":0.01329,"cacheRead":0.006912,"cacheWrite":0,"total":0.035182000000000005}},"stopReason":"toolUse","timestamp":1777851690294,"responseId":"resp_00a3ea27180420c50169f7dd2a9d7481979ae7e7aa444fb8de"}}
{"type":"message","id":"6457b71b","parentId":"dd48f49d","timestamp":"2026-05-03T23:41:45.675Z","message":{"role":"toolResult","toolCallId":"call_CzJCh3hYImKoo5hbt4tSeTPw|fc_00a3ea27180420c50169f7dd2f6ce88197bcce6f9c9875877e","toolName":"exec","content":[{"type":"text","text":"/home/rurouni/memory/2026-05-02.md\t1009 bytes\n/home/rurouni/memory/2026-05-03-1613.md\t171 bytes\n/home/rurouni/memory/2026-05-03-1635.md\t171 bytes\n/home/rurouni/memory/2026-05-03.md\t3137 bytes\n/home/rurouni/memory/2026-05-03-model-check.md\t369 bytes\n/home/rurouni/memory/archive/README.txt\t294 bytes\n/home/rurouni/memory/.dreams/events.jsonl\t9729 bytes\n/home/rurouni/memory/.dreams/short-term-recall.json\t33720 bytes\n/home/rurouni/MEMORY.md\t4883 bytes\n/home/rurouni/memory/README.txt\t994 bytes"}],"details":{"status":"completed","exitCode":0,"durationMs":46,"aggregated":"/home/rurouni/memory/2026-05-02.md\t1009 bytes\n/home/rurouni/memory/2026-05-03-1613.md\t171 bytes\n/home/rurouni/memory/2026-05-03-1635.md\t171 bytes\n/home/rurouni/memory/2026-05-03.md\t3137 bytes\n/home/rurouni/memory/2026-05-03-model-check.md\t369 bytes\n/home/rurouni/memory/archive/README.txt\t294 bytes\n/home/rurouni/memory/.dreams/events.jsonl\t9729 bytes\n/home/rurouni/memory/.dreams/short-term-recall.json\t33720 bytes\n/home/rurouni/MEMORY.md\t4883 bytes\n/home/rurouni/memory/README.txt\t994 bytes","cwd":"/home/rurouni"},"isError":false,"timestamp":1777851705675}}
{"type":"message","id":"3973d16a","parentId":"6457b71b","timestamp":"2026-05-03T23:41:45.676Z","message":{"role":"toolResult","toolCallId":"call_hTi2HZOAN549MjDRu7Ni5tzn|fc_00a3ea27180420c50169f7dd2f6cf88197b83577c0e62f9a0f","toolName":"exec","content":[{"type":"text","text":"Command still running (session lucky-nexus, pid 57515). Use process (list/poll/log/write/kill/clear/remove) for follow-up."}],"details":{"status":"running","sessionId":"lucky-nexus","pid":57515,"startedAt":1777851695640,"cwd":"/home/rurouni","tail":"ββββββββββββββββββββββββββ\n\nSecurity audit\nSkipped in fast status. Full report: openclaw security audit\nDeep probe: openclaw status --deep\n\nChannels\nββββββββββββ¬ββββββββββ¬βββββββββ¬βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ\nβ Channel β Enabled β State β Detail β\nββββββββββββΌββββββββββΌβββββββββΌβββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ€\nβ Telegram β ON β OK β token config (8796β¦S0Zs Β· len 46) Β· accounts 1/1 β\nββββββββββββ΄ββββββββββ΄βββββββββ΄βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ\n\nSessions\nββββββββββββββββββββββββββββββββββββββββββββββββ¬βββββββββ¬βββββββββββ¬βββββββββββββββ¬βββββββββββββββββββββββββββββββββββββ\nβ Key β Kind β Age β Model β Tokens β\nββββββββββββββββββββββββββββββββββββββββββββββββΌβββββββββΌβββββββββββΌβββββββββββββββΌβββββββββββββββββββββββββββββββββββββ€\nβ agent:main:telegram:direct:7229β¦ β direct β just now β gpt-5.5 β unknown/128k (?%) Β· ποΈ 100% cached β\nβ agent:main:main:heartbeat β direct β 4m ago β qwen3.5-9b β unknown/66k (?%) β\nβ agent:main:telegram:direct:7229β¦ β direct β 3h ago β gpt-5.5 β 8.9k/128k (7%) Β· ποΈ 75% cached β\nβ agent:main:main β direct β 16h ago β gpt-5.5 β 22k/28k (78%) Β· ποΈ 64% cached β\nββββββββββββββββββββββββββββββββββββββββββββββββ΄βββββββββ΄βββββββββββ΄βββββββββββββββ΄βββββββββββββββββββββββββββββββββββββ\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\n\n=== models status ===\n"},"isError":false,"timestamp":1777851705675}}
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{"type":"message","id":"1be5f466","parentId":"11ba6448","timestamp":"2026-05-03T23:41:47.188Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_sqXFKwl0iUewjcQMq7FUhrfh|fc_00a3ea27180420c50169f7dd3ad368819788223bbb9ade795c","name":"process","arguments":{"action":"poll","sessionId":"lucky-nexus","timeout":30000,"limit":6000}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":1139,"output":35,"cacheRead":16384,"cacheWrite":0,"totalTokens":17558,"cost":{"input":0.005695,"output":0.00105,"cacheRead":0.008192,"cacheWrite":0,"total":0.014936999999999999}},"stopReason":"toolUse","timestamp":1777851705680,"responseId":"resp_00a3ea27180420c50169f7dd3a07a48197a35b48dc89a7eab8"}}
{"type":"message","id":"7d26cffa","parentId":"1be5f466","timestamp":"2026-05-03T23:41:48.206Z","message":{"role":"toolResult","toolCallId":"call_sqXFKwl0iUewjcQMq7FUhrfh|fc_00a3ea27180420c50169f7dd3ad368819788223bbb9ade795c","toolName":"process","content":[{"type":"text","text":"=== openclaw status ===\nOpenClaw status\n\nOverview\nββββββββββββββββββββββββ¬ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ\nβ Item β Value β\nββββββββββββββββββββββββΌββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ€\nβ OS β linux 6.12.85+deb13-amd64 (x64) Β· node 24.15.0 β\nβ Dashboard β http://192.168.1.50:18789/ β\nβ Tailscale exposure β off β\nβ Channel β stable (default) β\nβ Update β pnpm Β· up to date Β· npm latest 2026.5.2 β\nβ Gateway β local Β· ws://127.0.0.1:18789 (local loopback) Β· reachable 72ms Β· auth token Β· debian-ai (192. β\nβ β 168.1.50) app 2026.5.2 linux 6.12.85+deb13-amd64 β\nβ Gateway self β debian-ai (192.168.1.50) app 2026.5.2 linux 6.12.85+deb13-amd64 β\nβ Gateway service β systemd installed Β· enabled Β· running (pid 57453, state active) β\nβ Node service β systemd not installed β\nβ Agents β 1 Β· no bootstrap files Β· sessions 4 Β· default main active just now β\nβ Memory β enabled (plugin memory-core) Β· not checked β\nβ Plugin compatibility β none β\nβ Probes β skipped (use --deep) β\nβ Events β none β\nβ Tasks β none β\nβ Heartbeat β 30m (main) β\nβ Sessions β 4 active Β· default gpt-5.5 (128k ctx) Β· ~/.openclaw/agents/main/sessions/sessions.json β\nββββββββββββββββββββββββ΄ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ\n\nSecurity audit\nSkipped in fast status. Full report: openclaw security audit\nDeep probe: openclaw status --deep\n\nChannels\nββββββββββββ¬ββββββββββ¬βββββββββ¬βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ\nβ Channel β Enabled β State β Detail β\nββββββββββββΌββββββββββΌβββββββββΌβββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ€\nβ Telegram β ON β OK β token config (8796β¦S0Zs Β· len 46) Β· accounts 1/1 β\nββββββββββββ΄ββββββββββ΄βββββββββ΄βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ\n\nSessions\nββββββββββββββββββββββββββββββββββββββββββββββββ¬βββββββββ¬βββββββββββ¬βββββββββββββββ¬βββββββββββββββββββββββββββββββββββββ\nβ Key β Kind β Age β Model β Tokens β\nββββββββββββββββββββββββββββββββββββββββββββββββΌβββββββββΌβββββββββββΌβββββββββββββββΌβββββββββββββββββββββββββββββββββββββ€\nβ agent:main:telegram:direct:7229β¦ β direct β just now β gpt-5.5 β unknown/128k (?%) Β· ποΈ 100% cached β\nβ agent:main:main:heartbeat β direct β 4m ago β qwen3.5-9b β unknown/66k (?%) β\nβ agent:main:telegram:direct:7229β¦ β direct β 3h ago β gpt-5.5 β 8.9k/128k (7%) Β· ποΈ 75% cached β\nβ agent:main:main β direct β 16h ago β gpt-5.5 β 22k/28k (78%) Β· ποΈ 64% cached β\nββββββββββββββββββββββββββββββββββββββββββββββββ΄βββββββββ΄βββββββββββ΄βββββββββββββββ΄βββββββββββββββββββββββββββββββββββββ\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\n\n=== models status ===\nConfig : ~/.openclaw/openclaw.json\nAgent dir : ~/.openclaw/agents/main/agent\nDefault : openai-codex/gpt-5.5\nFallbacks (3) : deepseek/deepseek-v4-pro, openrouter/minimax/minimax-m2.7, local-qwen/qwen3.5-9b\nImage model : -\nImage fallbacks (0): -\nAliases (2) : MiniMax -> openrouter/minimax/minimax-m2.7, local -> local-qwen/qwen3.5-9b\nConfigured models (4): openrouter/minimax/minimax-m2.7, openai-codex/gpt-5.5, local-qwen/qwen3.5-9b, deepseek/deepseek-v4-pro\n\nAuth overview\nAuth store : ~/.openclaw/agents/main/agent/auth-profiles.json\nShell env : off\nProviders w/ OAuth/tokens (1): openai-codex (1)\n- deepseek effective=profiles:~/.openclaw/agents/main/agent/auth-profiles.json | profiles=1 (oauth=0, token=*** api_key=*** | deepseek:default=sk-8d036...23974ee0\n- local-qwen effective=models.json:l...l | models.json=l...l | source=models.json: ~/.openclaw/agents/main/agent/models.json\n- openai-codex effective=profiles:~/.openclaw/agents/main/agent/auth-profiles.json | profiles=1 (oauth=1, token=*** api_key=*** | openai-codex:tw24fr@gmail.com=OAuth (tw24fr@gmail.com)\n- openrouter effective=env:sk-or-v1...376a2479 | env=sk-or-v1...376a2479 | source=env: OPENROUTER_API_KEY\n- perplexity effective=env:sk-or-v1...376a2479 | env=sk-or-v1...376a2479 | source=env: OPENROUTER_API_KEY\n\nOAuth/token status\n- openai-codex usage: 5h 40% left β±55m Β· Week 79% left β±6d 5h\n - openai-codex:tw24fr@gmail.com (tw24fr@gmail.com) ok expires in 9d\n\n=== llama service ===\nβ llama-local.service - Qwen3.5-9B Local LLM for OpenClaw\n Loaded: loaded (/etc/systemd/system/llama-local.service; enabled; preset: enabled)\n Active: active (running) since Sun 2026-05-03 15:54:59 PDT; 46min ago\n Invocation: b33e0680c24646dda74766493fde40fe\n Main PID: 56402 (llama-server)\n Tasks: 37 (limit: 76718)\n Memory: 1.2G (peak: 2.1G)\n CPU: 3min 15.353s\n CGroup: /system.slice/llama-local.service\n ββ56402 /usr/local/bin/llama-server -m /home/rurouni/models/qwen3.5-9b/Qwen3.5-9B-Q5_K_M.gguf -c 65536 -ngl 99 -fa on -t 28 -b 2048 -ub 2048 -ctk q8_0 -ctv q8_0 --host 127.0.0.1 --port 8081 --parallel 1 --cont-batching --cache-reuse 256\n\nMay 03 16:37:35 debian-ai llama-server[56402]: slot update_slots: id 0 | task 3062 | prompt processing done, n_tokens = 9861, batch.n_tokens = 4\nMay 03 16:37:37 debian-ai llama-server[56402]: slot create_check: id 0 | task 3062 | created context checkpoint 2 of 32 (pos_min = 9856, pos_max = 9856, n_tokens = 9857, size = 50.251 MiB)\nMay 03 16:37:37 debian-ai llama-server[56402]: srv log_server_r: done request: POST /v1/chat/completions 127.0.0.1 200\nMay 03 16:37:38 debian-ai llama-server[56402]: reasoning-budget: deactivated (natural end)\nMay 03 16:37:38 debian-ai llama-server[56402]: slot print_timing: id 0 | task 3062 |\nMay 03 16:37:38 debian-ai llama-server[56402]: prompt eval time = 11955.74 ms / 9861 tokens ( 1.21 ms per token, 824.79 tokens per second)\nMay 03 16:37:38 debian-ai llama-server[56402]: eval time = 949.82 ms / 35 tokens ( 27.14 ms per token, 36.85 tokens per second)\nMay 03 16:37:38 debian-ai llama-server[56402]: total time = 12905.56 ms / 9896 tokens\nMay 03 16:37:38 debian-ai llama-server[56402]: slot release: id 0 | task 3062 | stop processing: n_tokens = 9895, truncated = 0\nMay 03 16:37:38 debian-ai llama-server[56402]: srv update_slots: all slots are idle\n\n=== nvidia ===\nNVIDIA GeForce GTX 1080 Ti, 11264, 9021, 2144, 0\n\n=== llama endpoint ===\n{\"models\":[{\"name\":\"Qwen3.5-9B-Q5_K_M.gguf\",\"model\":\"Qwen3.5-9B-Q5_K_M.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\":\"Qwen3.5-9B-Q5_K_M.gguf\",\"aliases\":[],\"tags\":[],\"object\":\"model\",\"created\":1777851708,\"owned_by\":\"llamacpp\",\"meta\":{\"vocab_type\":2,\"n_vocab\":248320,\"n_ctx_train\":262144,\"n_embd\":4096,\"n_params\":8953803264,\"size\":6566873088}}]}\n\nProcess exited with code 0."}],"details":{"persistedDetailsTruncated":true,"originalDetailsBytesAtLeast":8193,"originalDetailKeys":["status","sessionId","exitCode","aggregated","name"],"status":"completed","sessionId":"lucky-nexus","name":"set pipefail","exitCode":0},"isError":false,"timestamp":1777851708205}}
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{"type":"message","id":"6b9fbfcf","parentId":"6138739f","timestamp":"2026-05-03T23:41:51.337Z","message":{"role":"toolResult","toolCallId":"call_K9OCXGzdDYZlNjyWWP9u8XgK|fc_00a3ea27180420c50169f7dd3f22388197a12412636a9a071f","toolName":"read","content":[{"type":"text","text":"# MEMORY.md β Ruruni Long-Term Memory\n\nCurated compact memory for Raymondβs 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** π‘οΈ.\n- Role: Raymondβs personal AI companion β 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 Raymondβs 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 version: `2026.5.2`. Primary model: `openai-codex/gpt-5.5` via ChatGPT Plus OAuth; do **not** replace unless Raymond asks.\n- Current model routing: primary `openai-codex/gpt-5.5`; fallback 1 `openrouter/minimax/minimax-m2.7`; fallback 2 `local-qwen/qwen3.5-9b`.\n- Current local model: Qwen3.5-9B Q5_K_M GGUF at `/home/rurouni/models/qwen3.5-9b/Qwen3.5-9B-Q5_K_M.gguf`, served by systemd service `llama-local` on `http://127.0.0.1:8081/v1`.\n- Local service target: `/usr/local/bin/llama-server -m /home/rurouni/models/qwen3.5-9b/Qwen3.5-9B-Q5_K_M.gguf -c 65536 -ngl 99 -fa on -t 28 -b 2048 -ub 2048 -ctk q8_0 -ctv q8_0 --host 127.0.0.1 --port 8081 --parallel 1 --cont-batching --cache-reuse 256`.\n- Local model verification: llama logs showed `n_slots = 1` and `new slot, n_ctx = 65536`; VRAM around `8.9GB / 11GB`; `/v1/models` returns `Qwen3.5-9B-Q5_K_M.gguf`.\n- OpenClaw config has custom provider `models.providers.local-qwen` pointing to `http://127.0.0.1:8081/v1`, model id `qwen3.5-9b`, `contextWindow: 65536`, `maxTokens: 8192`, zero cost.\n- OpenRouter is a built-in provider; no custom OpenRouter provider is needed. `OPENROUTER_API_KEY` is configured in OpenClaw env/config; never print the full key. Connectivity verified with MiniMax M2.7 listed as `minimax/minimax-m2.7`.\n- Heartbeat/sub-agent local model paths are schema-correct as `agents.defaults.heartbeat.model` and `agents.defaults.subagents.model`, both set to `local-qwen/qwen3.5-9b`.\n- Old local Qwen3.5-4B was removed from OpenClaw config and moved to cold storage: `/archive/models/old-qwen/Qwen3.5-4B-Q8_0.gguf`. Do not re-add old `llamacpp/Qwen3.5-4B-Q8_0.gguf` unless Raymond asks.\n- OpenClaw context tuning: `agents.defaults.contextTokens: 128000`; compaction reserve `reserveTokensFloor: 24000`; `maxActiveTranscriptBytes: 1000000`; `memoryFlush.softThresholdTokens: 60000`.\n- AI storage env: `HF_HOME=/data/cache/hf`, `HF_HUB_CACHE=/data/cache/hf/hub`, `TRANSFORMERS_CACHE=/data/cache/hf/transformers`, `HF_DATASETS_CACHE=/data/cache/hf/datasets`, `TMPDIR=/data/tmp`; persisted in `~/.config/environment.d/10-ai-storage.conf`, `~/.profile`, `~/.bashrc`, and relevant service env.\n- Storage layout: `/` + `/home/rurouni` on NVMe root; `/backup` dedicated HDD; `/archive` dedicated HDD cold storage; `/models` Samsung SSD; `/data` RAID0 over two Intel SSDs; `/dev/shm/ai-hot` 16G tmpfs.\n- Backup path: `/home/rurouni/backups` is a compatibility symlink to `/backup/rurouni/openclaw-backups`.\n- Raymond intentionally allows LAN-bound OpenClaw behind a tight OPNsense firewall; do not βfixβ LAN bind/security warnings without asking.\n- Sudo/password preference: do not store Raymondβs sudo password. Use narrow sudoers allowlists for specific commands when needed. `sudo -n true` may fail even if specific commands are allowlisted.\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\n## Memory Hygiene Rules\n\n- Keep `MEMORY.md` short and high-signal; avoid duplicating identity/personality already in `SOUL.md`, `USER.md`, and `IDENTITY.md`.\n- Use `memory/YYYY-MM-DD.md` for concise daily logs and decisions.\n- Active indexed markdown should stay small: intended active files are `MEMORY.md`, `memory/2026-05-02.md`, and current daily notes only.\n- Move raw fragments/session summaries to non-indexed `.txt` archive files after distilling them.\n- Do not load or quote private memory in group chats.\n"}],"isError":false,"timestamp":1777851711336}}
{"type":"message","id":"eabdab62","parentId":"6b9fbfcf","timestamp":"2026-05-03T23:41:51.337Z","message":{"role":"toolResult","toolCallId":"call_xZpNfK3Ds4KNqCg1HbNENWpD|fc_00a3ea27180420c50169f7dd3f2248819794bd43f6cc4de5e0","toolName":"read","content":[{"type":"text","text":"# 2026-05-03 Daily Notes\n\n## Identity / preferences\n\n- Raymond confirmed assistant identity as **Ruruni** π‘οΈ: calm digital ronin, terminal homie, technical familiar, loyal second brain.\n- Durable identity and preferences live in `/home/rurouni/MEMORY.md`, `/home/rurouni/SOUL.md`, `/home/rurouni/IDENTITY.md`, and `/home/rurouni/USER.md`.\n\n## Context / memory cleanup\n\n- Raymond reported OpenClaw/GPT-5 compacting too often. Updated config to `agents.defaults.contextTokens: 128000`; compaction `reserveTokensFloor: 24000`; `maxActiveTranscriptBytes: 1000000`; `memoryFlush.softThresholdTokens: 60000`.\n- Context tuning backup: `/home/rurouni/backups/context-memory-20260503-012153`.\n- Memory search works via builtin text backend; embeddings/provider unavailable. Raymond said to leave memory search as-is.\n- Cleaned memory bloat: consolidated identity into top-level files, moved low-value raw/session summaries to `.txt`, and kept active indexed markdown small.\n\n## Storage / system layout\n\n- Backup storage moved off root: `/home/rurouni/backups` symlinked to `/backup/rurouni/openclaw-backups` on dedicated HDD.\n- Drive layout verified: root/home on NVMe; `/backup` HDD; `/archive` HDD cold storage; `/models` Samsung SSD; `/data` RAID0 Intel SSDs; `/dev/shm/ai-hot` 16G tmpfs.\n- AI storage env persisted: HF cache under `/data/cache/hf`, temp under `/data/tmp`; model downloads/final models separated under `/models`.\n- Raymond intentionally keeps OpenClaw LAN-bound behind OPNsense; do not change LAN bind/firewall posture without asking.\n\n## OpenClaw / model stack\n\n- Primary model kept unchanged: `openai-codex/gpt-5.5` via ChatGPT Plus OAuth.\n- Replaced local Qwen3.5-4B with Qwen3.5-9B Q5_K_M GGUF from `unsloth/Qwen3.5-9B-GGUF` at `/home/rurouni/models/qwen3.5-9b/Qwen3.5-9B-Q5_K_M.gguf`.\n- `llama-local` systemd service now serves Qwen3.5-9B at `127.0.0.1:8081` with `--parallel 1` and `-c 65536`; logs showed one slot with `n_ctx = 65536`; VRAM about 8.9GB/11GB.\n- Initial `--parallel 2` split context into 32768-token slots; Raymond requested `--parallel 1` for full context per request.\n- OpenClaw config now has custom provider `local-qwen/qwen3.5-9b`; fallback chain is `openrouter/minimax/minimax-m2.7` then `local-qwen/qwen3.5-9b`.\n- OpenRouter is used as built-in provider only; no custom OpenRouter provider entry needed. MiniMax M2.7 connectivity verified through OpenRouter model list.\n- Schema-correct local settings: `agents.defaults.heartbeat.model = local-qwen/qwen3.5-9b` and `agents.defaults.subagents.model = local-qwen/qwen3.5-9b`.\n- Removed stale 4B config refs (`llamacpp`, `custom-127-0-0-1-8081`, old aliases) and moved old 4B GGUF to cold storage: `/archive/models/old-qwen/Qwen3.5-4B-Q8_0.gguf`.\n- Gateway verified running after cleanup; `openclaw models status` showed configured models: `openrouter/minimax/minimax-m2.7`, `openai-codex/gpt-5.5`, `local-qwen/qwen3.5-9b`.\n\n## Sudo / admin notes\n\n- Raymond does not want sudo password stored. Use narrow sudoers allowlists or ask Raymond to run sudo commands when needed.\n- `sudo -n true` may fail even when specific allowlisted commands work.\n"}],"isError":false,"timestamp":1777851711336}}
{"type":"message","id":"10582a68","parentId":"eabdab62","timestamp":"2026-05-03T23:41:51.337Z","message":{"role":"toolResult","toolCallId":"call_GWq8tyCb8D2b8zReEbTqGmhV|fc_00a3ea27180420c50169f7dd3f2250819797481319a0064a0d","toolName":"read","content":[{"type":"text","text":"# 2026-05-02 Daily Notes\n\n## Bootstrap / identity\n\n- Workspace bootstrap began and Raymond named the assistant **Ruruni** with emoji π‘οΈ.\n- Raymond defined Ruruni as his personal AI companion: calm digital ronin, terminal homie, technical familiar, and loyal second brain.\n- Durable persona/preferences were moved into top-level identity files: `IDENTITY.md`, `SOUL.md`, `USER.md`, and later `/home/rurouni/MEMORY.md`.\n\n## Stable preferences learned\n\n- Raymond wants casual, direct, warm, witty replies with light modern slang only when natural.\n- Technical help should start with the answer/next action, use copy/paste commands, prefer safe reversible steps, and warn before risky commands.\n- Support domains include Linux/Debian/CachyOS, servers, AI infrastructure/OpenClaw, SQL/DB2/IBM i, warehouse operations, writing, troubleshooting, and game development.\n\n## Cleanup\n\n- Raw bootstrap/session dumps were moved to `memory/archive/raw/*.txt` so future markdown memory search is compact and low-noise.\n"}],"isError":false,"timestamp":1777851711337}}
{"type":"message","id":"bd3a368f","parentId":"10582a68","timestamp":"2026-05-03T23:41:51.338Z","message":{"role":"toolResult","toolCallId":"call_cPMkXIlNflvA2OAuLU7565QT|fc_00a3ea27180420c50169f7dd3f2254819796c0d64f6d6a012e","toolName":"read","content":[{"type":"text","text":"# Session: 2026-05-03 16:39:00 PDT\n\n- **Session Key**: agent:main:telegram:direct:7229867039\n- **Session ID**: 30d1bcc8-61a8-4d5c-99ca-711978739f05\n- **Source**: telegram\n\n## Conversation Summary\n\nuser: what model are you on\nuser: no relax\nassistant: Currently on `deepseek/deepseek-v4-pro` β not the usual `openai-codex/gpt-5.5` primary. You want me to switch back?\n"}],"isError":false,"timestamp":1777851711337}}
{"type":"message","id":"68510035","parentId":"bd3a368f","timestamp":"2026-05-03T23:41:51.338Z","message":{"role":"toolResult","toolCallId":"call_Qk7T857zGUhHmIEcyJZy6Tg5|fc_00a3ea27180420c50169f7dd3f225c8197aeb5b78a51458f6f","toolName":"read","content":[{"type":"text","text":"# Session: 2026-05-03 16:13:44 PDT\n\n- **Session Key**: agent:main:telegram:direct:7229867039\n- **Session ID**: 0b37c329-aa4c-4e19-932f-e9caebca4450\n- **Source**: telegram\n"}],"isError":false,"timestamp":1777851711337}}
{"type":"message","id":"f726bd6a","parentId":"68510035","timestamp":"2026-05-03T23:41:51.338Z","message":{"role":"toolResult","toolCallId":"call_ifiWy2ndsNmD22eLiM2A6q3D|fc_00a3ea27180420c50169f7dd3f226081978f3f9675d570ef46","toolName":"read","content":[{"type":"text","text":"# Session: 2026-05-03 16:35:58 PDT\n\n- **Session Key**: agent:main:telegram:direct:7229867039\n- **Session ID**: 25b1bcba-bd34-43d6-afdc-bb663e44c799\n- **Source**: telegram\n"}],"isError":false,"timestamp":1777851711338}}
{"type":"message","id":"e53dd972","parentId":"f726bd6a","timestamp":"2026-05-03T23:41:51.342Z","message":{"role":"toolResult","toolCallId":"call_SLwIIbM5rVdqdbmA3Ib6I48d|fc_00a3ea27180420c50169f7dd3f22648197a548fa8d3401ba96","toolName":"read","content":[{"type":"text","text":"{\n \"providers\": {\n \"openrouter\": {\n \"baseUrl\": \"https://openrouter.ai/api/v1\",\n \"api\": \"openai-completions\",\n \"models\": [\n {\n \"id\": \"auto\",\n \"name\": \"OpenRouter Auto\",\n \"reasoning\": false,\n \"input\": [\n \"text\",\n \"image\"\n ],\n \"cost\": {\n \"input\": 0,\n \"output\": 0,\n \"cacheRead\": 0,\n \"cacheWrite\": 0\n },\n \"contextWindow\": 200000,\n \"maxTokens\": 8192\n },\n {\n \"id\": \"moonshotai/kimi-k2.6\",\n \"name\": \"MoonshotAI: Kimi K2.6\",\n \"reasoning\": true,\n \"input\": [\n \"text\",\n \"image\"\n ],\n \"cost\": {\n \"input\": 0.8,\n \"output\": 3.5,\n \"cacheRead\": 0.2,\n \"cacheWrite\": 0\n },\n \"contextWindow\": 262144,\n \"maxTokens\": 262144\n }\n ],\n \"apiKey\": \"OPENROβ¦_KEY\"\n },\n \"local-qwen\": {\n \"baseUrl\": \"http://127.0.0.1:8081/v1\",\n \"apiKey\": \"***\",\n \"api\": \"openai-completions\",\n \"models\": [\n {\n \"id\": \"qwen3.5-9b\",\n \"name\": \"Qwen3.5-9B Local\",\n \"contextWindow\": 65536,\n \"maxTokens\": 8192,\n \"reasoning\": false,\n \"input\": [\n \"text\"\n ],\n \"cost\": {\n \"input\": 0,\n \"output\": 0,\n \"cacheRead\": 0,\n \"cacheWrite\": 0\n }\n }\n ]\n },\n \"deepseek\": {\n \"baseUrl\": \"https://api.deepseek.com\",\n \"api\": \"openai-completions\",\n \"models\": [\n {\n \"id\": \"deepseek-v4-flash\",\n \"name\": \"DeepSeek V4 Flash\",\n \"reasoning\": true,\n \"input\": [\n \"text\"\n ],\n \"cost\": {\n \"input\": 0.14,\n \"output\": 0.28,\n \"cacheRead\": 0.028,\n \"cacheWrite\": 0\n },\n \"contextWindow\": 1000000,\n \"maxTokens\": 384000,\n \"compat\": {\n \"supportsReasoningEffort\": true,\n \"supportsUsageInStreaming\": true,\n \"maxTokensField\": \"max_tokens\"\n },\n \"api\": \"openai-completions\"\n },\n {\n \"id\": \"deepseek-v4-pro\",\n \"name\": \"DeepSeek V4 Pro\",\n \"reasoning\": true,\n \"input\": [\n \"text\"\n ],\n \"cost\": {\n \"input\": 1.74,\n \"output\": 3.48,\n \"cacheRead\": 0.145,\n \"cacheWrite\": 0\n },\n \"contextWindow\": 1000000,\n \"maxTokens\": 384000,\n \"compat\": {\n \"supportsReasoningEffort\": true,\n \"supportsUsageInStreaming\": true,\n \"maxTokensField\": \"max_tokens\"\n },\n \"api\": \"openai-completions\"\n },\n {\n \"id\": \"deepseek-chat\",\n \"name\": \"DeepSeek Chat\",\n \"reasoning\": false,\n \"input\": [\n \"text\"\n ],\n \"cost\": {\n \"input\": 0.28,\n \"output\": 0.42,\n \"cacheRead\": 0.028,\n \"cacheWrite\": 0\n },\n \"contextWindow\": 131072,\n \"maxTokens\": 8192,\n \"compat\": {\n \"supportsUsageInStreaming\": true,\n \"maxTokensField\": \"max_tokens\"\n },\n \"api\": \"openai-completions\"\n },\n {\n \"id\": \"deepseek-reasoner\",\n \"name\": \"DeepSeek Reasoner\",\n \"reasoning\": true,\n \"input\": [\n \"text\"\n ],\n \"cost\": {\n \"input\": 0.28,\n \"output\": 0.42,\n \"cacheRead\": 0.028,\n \"cacheWrite\": 0\n },\n \"contextWindow\": 131072,\n \"maxTokens\": 65536,\n \"compat\": {\n \"supportsReasoningEffort\": false,\n \"supportsUsageInStreaming\": true,\n \"maxTokensField\": \"max_tokens\"\n },\n \"api\": \"openai-completions\"\n }\n ],\n \"apiKey\": \"sk-8d0β¦4ee0\"\n }\n }\n}\n"}],"isError":false,"timestamp":1777851711338}}
{"type":"message","id":"d8c3f22f","parentId":"e53dd972","timestamp":"2026-05-03T23:41:51.350Z","message":{"role":"toolResult","toolCallId":"call_8VwvBTRi1NRBdigXq8S804bd|fc_00a3ea27180420c50169f7dd3f2268819792cf7723cd9a7e21","toolName":"read","content":[{"type":"text","text":"{\n \"env\": {\n \"OPENROUTER_API_KEY\": \"sk-or-β¦2479\"\n },\n \"agents\": {\n \"defaults\": {\n \"workspace\": \"/home/rurouni\",\n \"model\": {\n \"primary\": \"openai-codex/gpt-5.5\",\n \"fallbacks\": [\n \"deepseek/deepseek-v4-pro\",\n \"openrouter/minimax/minimax-m2.7\",\n \"local-qwen/qwen3.5-9b\"\n ]\n },\n \"models\": {\n \"openrouter/minimax/minimax-m2.7\": {\n \"alias\": \"MiniMax\"\n },\n \"openai-codex/gpt-5.5\": {},\n \"local-qwen/qwen3.5-9b\": {\n \"alias\": \"local\",\n \"params\": {\n \"temperature\": 0.6,\n \"top_p\": 0.95,\n \"top_k\": 20\n }\n },\n \"deepseek/deepseek-v4-pro\": {}\n },\n \"contextTokens\": 128000,\n \"compaction\": {\n \"reserveTokensFloor\": 24000,\n 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\"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_kWJβ¦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 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\"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 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{"type":"message","id":"6090c485","parentId":"188f20f7","timestamp":"2026-05-03T23:41:57.044Z","message":{"role":"toolResult","toolCallId":"call_aVAginY6UwYOpA9XRtAdeKJM|fc_00a3ea27180420c50169f7dd44d7a081979149e09b04b2b58b","toolName":"exec","content":[{"type":"text","text":"/usr/lib/node_modules/openclaw/docs/ci.md:390:Release checks run Matrix and Telegram live transport lanes with the deterministic mock provider and mock-qualified models (`mock-openai/gpt-5.5` and `mock-openai/gpt-5.5-alt`) so the channel contract is isolated from live model latency and normal provider-plugin startup. The live transport gateway disables memory search because QA parity covers memory behavior separately; provider connectivity is covered by the separate live model, native provider, and Docker provider suites.\n/usr/lib/node_modules/openclaw/docs/ci.md:421:`CodeQL Critical Quality` is the matching non-security shard. It runs only error-severity, non-security JavaScript/TypeScript quality queries over narrow high-value surfaces on the smaller Blacksmith Linux runner. Its pull request guard is intentionally smaller than the scheduled profile: non-draft PRs only run the matching `agent-runtime-boundary`, `config-boundary`, `core-auth-secrets`, `channel-runtime-boundary`, `gateway-runtime-boundary`, `memory-runtime-boundary`, `mcp-process-runtime-boundary`, `provider-runtime-boundary`, `session-diagnostics-boundary`, `plugin-boundary`, `plugin-sdk-package-contract`, and `plugin-sdk-reply-runtime` shards for agent command/model/tool execution and reply dispatch code, config schema/migration/IO code, auth/secrets/sandbox/security code, core channel and bundled channel plugin runtime, gateway protocol/server-method, memory runtime/SDK glue, MCP/process/outbound delivery, provider runtime/model catalog, session diagnostics/delivery queues, plugin loader, Plugin SDK/package-contract, or Plugin SDK reply runtime changes. CodeQL config and quality workflow changes run all twelve PR quality shards.\n/usr/lib/node_modules/openclaw/docs/ci.md:426:profile=all|agent-runtime-boundary|config-boundary|core-auth-secrets|channel-runtime-boundary|gateway-runtime-boundary|memory-runtime-boundary|mcp-process-runtime-boundary|plugin-boundary|plugin-sdk-package-contract|plugin-sdk-reply-runtime|provider-runtime-boundary|session-diagnostics-boundary\n/usr/lib/node_modules/openclaw/docs/ci.md:442:| `/codeql-critical-quality/provider-runtime-boundary` | Model catalog normalization, provider auth and discovery, provider runtime registration, provider defaults/catalogs, and web/search/fetch/embedding registries |\n/usr/lib/node_modules/openclaw/docs/gateway/protocol.md:335: - `doctor.memory.status` returns vector-memory / cached embedding readiness for the active default agent workspace. Pass `{ \"probe\": true }` or `{ \"deep\": true }` only when the caller explicitly wants a live embedding provider ping.\n/usr/lib/node_modules/openclaw/docs/gateway/config-tools.md:352:- Default: `false` unless `agents.defaults.embeddedPi.executionContract` (or a per-agent override) is set to `\"strict-agentic\"` for an OpenAI or OpenAI Codex GPT-5-family run. Set `true` to force the tool on outside that scope, or `false` to keep it off even for strict-agentic GPT-5 runs.\n/usr/lib/node_modules/openclaw/docs/gateway/openresponses-http-api.md:55:- `POST /v1/embeddings`\n/usr/lib/node_modules/openclaw/docs/gateway/openresponses-http-api.md:58:For the canonical explanation of how agent-target models, `openclaw/default`, embeddings pass-through, and backend model overrides fit together, see [OpenAI Chat Completions](/gateway/openai-http-api#agent-first-model-contract) and [Model list and agent routing](/gateway/openai-http-api#model-list-and-agent-routing).\n/usr/lib/node_modules/openclaw/docs/gateway/local-models.md:28:**WSL2 + Ollama + NVIDIA/CUDA users:** The official Ollama Linux installer enables a systemd service with `Restart=always`. On WSL2 GPU setups, autostart can reload the last model during boot and pin host memory. If your WSL2 VM repeatedly restarts after enabling Ollama, see [WSL2 crash loop](/providers/ollama#wsl2-crash-loop-repeated-reboots).\n/usr/lib/node_modules/openclaw/docs/gateway/index.md:76: - HTTP APIs, OpenAI compatible (`/v1/models`, `/v1/embeddings`, `/v1/chat/completions`, `/v1/responses`, `/tools/invoke`)\n/usr/lib/node_modules/openclaw/docs/gateway/index.md:90:- `POST /v1/embeddings`\n/usr/lib/node_modules/openclaw/docs/gateway/index.md:97:- Many RAG and memory pipelines expect `/v1/embeddings`.\n/usr/lib/node_modules/openclaw/docs/gateway/index.md:104:- Use `x-openclaw-model` when you want a backend provider/model override; otherwise the selected agent's normal model and embedding setup stays in control.\n/usr/lib/node_modules/openclaw/docs/gateway/openai-http-api.md:19:- `POST /v1/embeddings`\n/usr/lib/node_modules/openclaw/docs/gateway/openai-http-api.md:140:- Many RAG systems expect `/v1/embeddings`.\n/usr/lib/node_modules/openclaw/docs/gateway/openai-http-api.md:176: \n/usr/lib/node_modules/openclaw/docs/gateway/openai-http-api.md:177: `/v1/embeddings` uses the same agent-target `model` ids.\n/usr/lib/node_modules/openclaw/docs/gateway/openai-http-api.md:180: When you need a specific embedding model, send it in `x-openclaw-model`.\n/usr/lib/node_modules/openclaw/docs/gateway/openai-http-api.md:181: Without that header, the request passes through to the selected agent's normal embedding setup.\n/usr/lib/node_modules/openclaw/docs/gateway/openai-http-api.md:260:Create embeddings:\n/usr/lib/node_modules/openclaw/docs/gateway/openai-http-api.md:263:curl -sS http://127.0.0.1:18789/v1/embeddings \\\n/usr/lib/node_modules/openclaw/docs/gateway/openai-http-api.md:266: -H 'x-openclaw-model: openai/text-embedding-3-small' \\\n/usr/lib/node_modules/openclaw/docs/gateway/openai-http-api.md:278:- `/v1/embeddings` supports `input` as a string or array of strings.\n/usr/lib/node_modules/openclaw/docs/gateway/doctor.md:127: - Memory search embedding provider readiness check (local model, remote API key, or QMD binary).\n/usr/lib/node_modules/openclaw/docs/gateway/doctor.md:264: - `openai/*` + `agentRuntime.id: \"codex\"` means \"run the embedded turn through native Codex app-server.\"\n/usr/lib/node_modules/openclaw/docs/gateway/doctor.md:435: Doctor checks whether the configured memory search embedding provider is ready for the default agent. The behavior depends on the configured backend and provider:\n/usr/lib/node_modules/openclaw/docs/gateway/doctor.md:442: When a cached gateway probe result is available (gateway was healthy at the time of the check), doctor cross-references its result with the CLI-visible config and notes any discrepancy. Doctor does not start a fresh embedding ping on the default path; use the deep memory status command when you want a live provider check.\n/usr/lib/node_modules/openclaw/docs/gateway/doctor.md:444: Use `openclaw memory status --deep` to verify embedding readiness at runtime.\n/usr/lib/node_modules/openclaw/docs/gateway/doctor.md:462: - Doctor detects managed `.env`/SecretRef-backed service environment values that older LaunchAgent, systemd, or Windows Scheduled Task installs embedded inline and rewrites the service metadata so those values load from the runtime source instead of the supervisor definition.\n/usr/lib/node_modules/openclaw/docs/gateway/config-agents.md:428:- Harness choice is pinned per session id after the first embedded run. Config/env changes affect new or reset sessions, not an existing transcript. Legacy sessions with transcript history but no recorded pin are treated as PI-pinned. `/status` reports the effective runtime, for example `Runtime: OpenClaw Pi Default` or `Runtime: OpenAI Codex`.\n/usr/lib/node_modules/openclaw/docs/gateway/config-agents.md:608:- `memoryFlush`: silent agentic turn before auto-compaction to store durable memories. Set `model` to an exact provider/model such as `ollama/qwen3:8b` when this housekeeping turn should stay on a local model; the override does not inherit the active session fallback chain. Skipped when workspace is read-only.\n/usr/lib/node_modules/openclaw/docs/gateway/config-agents.md:698:Optional sandboxing for the embedded agent. See [Sandboxing](/gateway/sandboxing) for the full guide.\n/usr/lib/node_modules/openclaw/docs/gateway/cli-backends.md:383:minutes; set `0` to disable). One-shot embedded runs such as auth probes,\n/usr/lib/node_modules/openclaw/docs/gateway/configuration-reference.md:85:consumed by embedded Pi and other runtime adapters. The `openclaw mcp list`,\n/usr/lib/node_modules/openclaw/docs/gateway/configuration-reference.md:117: One-shot embedded runs request run-end cleanup; this TTL is the backstop for\n/usr/lib/node_modules/openclaw/docs/gateway/configuration-reference.md:218:- Enabled Claude bundle plugins can also contribute embedded Pi defaults from `settings.json`; OpenClaw applies those as sanitized agent settings, not as raw OpenClaw config patches.\n/usr/lib/node_modules/openclaw/docs/gateway/configuration-reference.md:378: // embedSandbox: \"scripts\", // strict | scripts | trusted\n/usr/lib/node_modules/openclaw/docs/gateway/configuration-reference.md:379: // allowExternalEmbedUrls: false, // dangerous: allow absolute external http(s) embed URLs\n/usr/lib/node_modules/openclaw/docs/gateway/configuration-reference.md:968:- `cacheTrace.enabled`: log cache trace snapshots for embedded runs (default: `false`).\n/usr/lib/node_modules/openclaw/docs/gateway/configuration-examples.md:282: model: \"gemini-embedding-001\",\n/usr/lib/node_modules/openclaw/docs/gateway/opentelemetry.md:215:- `session.long_running`: active embedded work, model calls, or tool calls are\n/usr/lib/node_modules/openclaw/docs/security/network-proxy.md:111:OpenClaw application-level classifier logic lives in `src/infra/net/ssrf.ts` and `src/shared/net/ip.ts`. The relevant parity hooks are `BLOCKED_HOSTNAMES`, `BLOCKED_IPV4_SPECIAL_USE_RANGES`, `BLOCKED_IPV6_SPECIAL_USE_RANGES`, `RFC2544_BENCHMARK_PREFIX`, and the embedded IPv4 sentinel handling for NAT64, 6to4, Teredo, ISATAP, and IPv4-mapped forms. Those files are useful references when maintaining an external proxy policy, but OpenClaw does not automatically export or enforce those rules in your proxy.\n/usr/lib/node_modules/openclaw/docs/security/network-proxy.md:128:| `64:ff9b::/96`, `64:ff9b:1::/48` | NAT64 prefixes with embedded IPv4 |\n/usr/lib/node_modules/openclaw/docs/security/network-proxy.md:129:| `2002::/16`, `2001::/32` | 6to4 and Teredo with embedded IPv4 |\n/usr/lib/node_modules/openclaw/docs/security/THREAT-MODEL-ATLAS.md:235:| **Description** | Attacker embeds malicious instructions in fetched content |\n/usr/lib/node_modules/openclaw/docs/security/THREAT-MODEL-ATLAS.md:602:| **Prompt Injection** | Attack where malicious instructions are embedded in input |\n/usr/lib/node_modules/openclaw/docs/plugins/sdk-agent-harness.md:2:summary: \"Experimental SDK surface for plugins that replace the low level embedded agent executor\"\n/usr/lib/node_modules/openclaw/docs/plugins/sdk-agent-harness.md:6: - You are changing the embedded agent runtime or harness registry\n/usr/lib/node_modules/openclaw/docs/plugins/sdk-agent-harness.md:17:embedded runner.\n/usr/lib/node_modules/openclaw/docs/plugins/sdk-agent-harness.md:122:The selected harness id is persisted with the session id after an embedded run.\n/usr/lib/node_modules/openclaw/docs/plugins/sdk-agent-harness.md:194:The bundled `codex` harness is the native Codex mode for embedded OpenClaw\n/usr/lib/node_modules/openclaw/docs/plugins/sdk-agent-harness.md:212:By default, OpenClaw runs embedded agents with `agents.defaults.agentRuntime`\n/usr/lib/node_modules/openclaw/docs/plugins/sdk-agent-harness.md:224:For Codex-only embedded runs:\n/usr/lib/node_modules/openclaw/docs/plugins/sdk-agent-harness.md:296:This setting only controls the embedded agent harness. It does not disable\n\nβ οΈ [... middle content omitted β showing head and tail ...]\n\n/usr/lib/node_modules/openclaw/docs/plugins/reference.md:125:| [voyage](/plugins/reference/voyage) | Adds memory embedding provider support. | `@openclaw/voyage-provider`
included in OpenClaw | contracts: memoryEmbeddingProviders |\n/usr/lib/node_modules/openclaw/docs/plugins/architecture.md:215:This is why embedded-runner routing changes are still plugin work: the runner is responsible for forwarding the current chat/session identity into the plugin discovery boundary so the shared `message` tool exposes the right channel-owned surface for the current turn.\n/usr/lib/node_modules/openclaw/docs/plugins/sdk-provider-plugins.md:468: | 38 | `createEmbeddingProvider` | Provider-owned embedding adapter for memory/search |\n/usr/lib/node_modules/openclaw/docs/plugins/sdk-provider-plugins.md:471: | 41 | `validateReplayTurns` | Strict replay-turn validation before the embedded runner |\n/usr/lib/node_modules/openclaw/docs/plugins/sdk-runtime.md:84: // pass level to an embedded run\n/usr/lib/node_modules/openclaw/docs/plugins/sdk-runtime.md:93: // Run an embedded agent turn\n/usr/lib/node_modules/openclaw/docs/plugins/sdk-overview.md:185:that does not need pre-model tool-result timing. The old Pi-only embedded\n/usr/lib/node_modules/openclaw/docs/plugins/sdk-overview.md:271:### Memory embedding adapters\n/usr/lib/node_modules/openclaw/docs/plugins/sdk-overview.md:275:| `api.registerMemoryEmbeddingProvider(adapter)` | Memory embedding adapter for the active plugin |\n/usr/lib/node_modules/openclaw/docs/plugins/sdk-overview.md:288: or more embedding adapter ids (for example `openai`, `gemini`, or a custom\n/usr/lib/node_modules/openclaw/docs/plugins/sdk-overview.md:290:- User config such as `agents.defaults.memorySearch.provider` and\n/usr/lib/node_modules/openclaw/docs/plugins/reference/voyage.md:2:summary: \"Adds memory embedding provider support.\"\n/usr/lib/node_modules/openclaw/docs/plugins/reference/voyage.md:10:Adds memory embedding provider support.\n/usr/lib/node_modules/openclaw/docs/plugins/reference/memory-core.md:2:summary: \"Adds memory embedding provider support. Adds agent-callable tools.\"\n/usr/lib/node_modules/openclaw/docs/plugins/reference/memory-core.md:10:Adds memory embedding provider support. Adds agent-callable tools.\n/usr/lib/node_modules/openclaw/docs/plugins/sdk-migration.md:32: host-side helpers like the embedded agent runner.\n/usr/lib/node_modules/openclaw/docs/plugins/sdk-migration.md:34: extension hook that could observe embedded-runner events such as\n/usr/lib/node_modules/openclaw/docs/plugins/sdk-migration.md:39:the next major release removes them. The Pi-only embedded extension factory\n/usr/lib/node_modules/openclaw/docs/plugins/sdk-migration.md:51: Pi-only embedded extension factory registrations already no longer load.\n/usr/lib/node_modules/openclaw/docs/plugins/sdk-migration.md:523: | `plugin-sdk/memory-core-host-engine-embeddings` | Memory host embedding engine | Memory embedding contracts, registry access, local provider, and generic batch/remote helpers; concrete remote providers live in their owning plugins |\n/usr/lib/node_modules/openclaw/docs/plugins/codex-harness.md:2:summary: \"Run OpenClaw embedded agent turns through the bundled Codex app-server harness\"\n/usr/lib/node_modules/openclaw/docs/plugins/codex-harness.md:10:The bundled `codex` plugin lets OpenClaw run embedded agent turns through the\n/usr/lib/node_modules/openclaw/docs/plugins/codex-harness.md:37:ChatGPT/Codex subscription, then run embedded agent turns through the native[... 1864 more characters truncated]"}],"details":{"persistedDetailsTruncated":true,"originalDetailsBytesAtLeast":8193,"originalDetailKeys":["status","exitCode","durationMs","aggregated","cwd"],"status":"completed","cwd":"/home/rurouni","exitCode":0},"isError":false,"timestamp":1777851717042}}
{"type":"message","id":"44addc89","parentId":"6090c485","timestamp":"2026-05-03T23:41:57.045Z","message":{"role":"toolResult","toolCallId":"call_4CTn5MHC9ML3bT4FpxMGliUJ|fc_00a3ea27180420c50169f7dd44d7ac8197b8875426f63ac38e","toolName":"exec","content":[{"type":"text","text":"May 03 16:32:28 debian-ai llama-server[56402]: slot update_slots: id 0 | task 844 | new prompt, n_ctx_slot = 65536, n_keep = 0, task.n_tokens = 19743\nMay 03 16:32:41 debian-ai llama-server[56402]: slot update_slots: id 0 | task 907 | new prompt, n_ctx_slot = 65536, n_keep = 0, task.n_tokens = 19916\nMay 03 16:32:55 debian-ai llama-server[56402]: slot update_slots: id 0 | task 1015 | new prompt, n_ctx_slot = 65536, n_keep = 0, task.n_tokens = 20491\nMay 03 16:32:58 debian-ai llama-server[56402]: slot update_slots: id 0 | task 1086 | new prompt, n_ctx_slot = 65536, n_keep = 0, task.n_tokens = 20850\nMay 03 16:35:14 debian-ai llama-server[56402]: slot update_slots: id 0 | task 1472 | new prompt, n_ctx_slot = 65536, n_keep = 0, task.n_tokens = 289\nMay 03 16:37:25 debian-ai llama-server[56402]: slot update_slots: id 0 | task 3062 | new prompt, n_ctx_slot = 65536, n_keep = 0, task.n_tokens = 9861\nHint: You are currently not seeing messages from other users and the system.\n Users in groups 'adm', 'systemd-journal' can see all messages.\n Pass -q to turn off this notice."}],"details":{"status":"completed","exitCode":0,"durationMs":43,"aggregated":"May 03 16:32:28 debian-ai llama-server[56402]: slot update_slots: id 0 | task 844 | new prompt, n_ctx_slot = 65536, n_keep = 0, task.n_tokens = 19743\nMay 03 16:32:41 debian-ai llama-server[56402]: slot update_slots: id 0 | task 907 | new prompt, n_ctx_slot = 65536, n_keep = 0, task.n_tokens = 19916\nMay 03 16:32:55 debian-ai llama-server[56402]: slot update_slots: id 0 | task 1015 | new prompt, n_ctx_slot = 65536, n_keep = 0, task.n_tokens = 20491\nMay 03 16:32:58 debian-ai llama-server[56402]: slot update_slots: id 0 | task 1086 | new prompt, n_ctx_slot = 65536, n_keep = 0, task.n_tokens = 20850\nMay 03 16:35:14 debian-ai llama-server[56402]: slot update_slots: id 0 | task 1472 | new prompt, n_ctx_slot = 65536, n_keep = 0, task.n_tokens = 289\nMay 03 16:37:25 debian-ai llama-server[56402]: slot update_slots: id 0 | task 3062 | new prompt, n_ctx_slot = 65536, n_keep = 0, task.n_tokens = 9861\nHint: You are currently not seeing messages from other users and the system.\n Users in groups 'adm', 'systemd-journal' can see all messages.\n Pass -q to turn off this notice.","cwd":"/home/rurouni"},"isError":false,"timestamp":1777851717042}}
{"type":"message","id":"3b76b258","parentId":"44addc89","timestamp":"2026-05-03T23:41:57.046Z","message":{"role":"toolResult","toolCallId":"call_XC8LpnkDyJUQrNtkShrNDlK9|fc_00a3ea27180420c50169f7dd44d7b481978a558ac88592bbd5","toolName":"exec","content":[{"type":"text","text":"52K\t/home/rurouni/memory/.dreams\n40K\t/home/rurouni/memory/archive/raw\n28K\t/home/rurouni/memory/archive/session-summaries\n76K\t/home/rurouni/memory/archive\n156K\t/home/rurouni/memory\n8.0K\t/home/rurouni/MEMORY.md\n2026-05-02 20:18 5810 /home/rurouni/memory/archive/raw/2026-05-02-agent-birth.txt\n2026-05-02 20:57 1372 /home/rurouni/memory/archive/raw/2026-05-02-identity-setup.txt\n2026-05-02 21:03 471 /home/rurouni/memory/archive/raw/2026-05-02-memory-cleanup.txt\n2026-05-02 21:06 1389 /home/rurouni/memory/archive/raw/2026-05-02-calm-ronin.txt\n2026-05-02 21:25 7814 /home/rurouni/memory/archive/raw/2026-05-02-ruruni-setup.txt\n2026-05-03 01:04 171 /home/rurouni/memory/archive/raw/2026-05-03-0104.txt\n2026-05-03 01:04 529 /home/rurouni/memory/archive/raw/2026-05-03-identity.txt\n2026-05-03 01:35 994 /home/rurouni/memory/README.txt\n2026-05-03 01:36 294 /home/rurouni/memory/archive/README.txt\n2026-05-03 01:38 1009 /home/rurouni/memory/2026-05-02.md\n2026-05-03 02:26 543 /home/rurouni/memory/archive/session-summaries/2026-05-03-hello.txt\n2026-05-03 09:56 231 /home/rurouni/memory/archive/session-summaries/2026-05-03-general-help.txt\n2026-05-03 09:57 224 /home/rurouni/memory/archive/session-summaries/2026-05-03-task-request.txt\n2026-05-03 13:54 3302 /home/rurouni/memory/archive/session-summaries/2026-05-03-llama-fix.txt\n2026-05-03 14:25 1596 /home/rurouni/memory/archive/session-summaries/2026-05-03-memory-summary.txt\n2026-05-03 15:22 2106 /home/rurouni/memory/archive/session-summaries/2026-05-03-storage-perms.txt\n2026-05-03 16:11 3137 /home/rurouni/memory/2026-05-03.md\n2026-05-03 16:13 171 /home/rurouni/memory/2026-05-03-1613.md\n2026-05-03 16:35 171 /home/rurouni/memory/2026-05-03-1635.md\n2026-05-03 16:39 369 /home/rurouni/memory/2026-05-03-model-check.md\n2026-05-03 16:41 33720 /home/rurouni/memory/.dreams/short-term-recall.json\n2026-05-03 16:41 9729 /home/rurouni/memory/.dreams/events.jsonl"}],"details":{"status":"completed","exitCode":0,"durationMs":50,"aggregated":"52K\t/home/rurouni/memory/.dreams\n40K\t/home/rurouni/memory/archive/raw\n28K\t/home/rurouni/memory/archive/session-summaries\n76K\t/home/rurouni/memory/archive\n156K\t/home/rurouni/memory\n8.0K\t/home/rurouni/MEMORY.md\n2026-05-02 20:18 5810 /home/rurouni/memory/archive/raw/2026-05-02-agent-birth.txt\n2026-05-02 20:57 1372 /home/rurouni/memory/archive/raw/2026-05-02-identity-setup.txt\n2026-05-02 21:03 471 /home/rurouni/memory/archive/raw/2026-05-02-memory-cleanup.txt\n2026-05-02 21:06 1389 /home/rurouni/memory/archive/raw/2026-05-02-calm-ronin.txt\n2026-05-02 21:25 7814 /home/rurouni/memory/archive/raw/2026-05-02-ruruni-setup.txt\n2026-05-03 01:04 171 /home/rurouni/memory/archive/raw/2026-05-03-0104.txt\n2026-05-03 01:04 529 /home/rurouni/memory/archive/raw/2026-05-03-identity.txt\n2026-05-03 01:35 994 /home/rurouni/memory/README.txt\n2026-05-03 01:36 294 /home/rurouni/memory/archive/README.txt\n2026-05-03 01:38 1009 /home/rurouni/memory/2026-05-02.md\n2026-05-03 02:26 543 /home/rurouni/memory/archive/session-summaries/2026-05-03-hello.txt\n2026-05-03 09:56 231 /home/rurouni/memory/archive/session-summaries/2026-05-03-general-help.txt\n2026-05-03 09:57 224 /home/rurouni/memory/archive/session-summaries/2026-05-03-task-request.txt\n2026-05-03 13:54 3302 /home/rurouni/memory/archive/session-summaries/2026-05-03-llama-fix.txt\n2026-05-03 14:25 1596 /home/rurouni/memory/archive/session-summaries/2026-05-03-memory-summary.txt\n2026-05-03 15:22 2106 /home/rurouni/memory/archive/session-summaries/2026-05-03-storage-perms.txt\n2026-05-03 16:11 3137 /home/rurouni/memory/2026-05-03.md\n2026-05-03 16:13 171 /home/rurouni/memory/2026-05-03-1613.md\n2026-05-03 16:35 171 /home/rurouni/memory/2026-05-03-1635.md\n2026-05-03 16:39 369 /home/rurouni/memory/2026-05-03-model-check.md\n2026-05-03 16:41 33720 /home/rurouni/memory/.dreams/short-term-recall.json\n2026-05-03 16:41 9729 /home/rurouni/memory/.dreams/events.jsonl","cwd":"/home/rurouni"},"isError":false,"timestamp":1777851717045}}
{"type":"message","id":"fdec303f","parentId":"3b76b258","timestamp":"2026-05-03T23:41:58.764Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_00a3ea27180420c50169f7dd45ee44819796a67b7832619c0b\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp991GLrmlKRFuwdfs_Cw-GmCfcIfVdDkduN4Aqt4pKu-OyowXWXhBzfz3P-0ETlerwWqsLpJ-rYlFtKeH7bmQCVgnEVFP3qi1I0W1Ecpxvoq-16DOpy_b7lR5YIVSsLW1RaqyNSGONg2NpM8wJxjH2om5E6AljXCareTcDt5Tyxk4gzjz6tZtTsorMmPqAaznKeArnzOHc_w1l8RdN1W5VELuCdK-VUfJ88QfgJPTVT3BZtEwJKjvNahvcUsngByfNI0nl2r7NUxPr7E-oZthR47WS5uyUGftNbgwwcbuFjuLAHK5EAWOHSlbzkWhPYecZjf_u38Ckldc7-ZMZ9D5Qi2TVjjn27zWKTGRInhN8n_J6mla5erNYvwmwH-Cb14QHov-X96sWSdv3EUKDkJEFFGs1pkNBReId1prbAG49_F275y_Jxd0EmlIAKWoD5H2XPlQ7ALDrxbn0RQC9SZX-EZkK85FP4yv1rbzXOkq7g17jO4h-gJ1b0b8c2ezhFOPytZQ6G36Vntz5_Ix95hiEQm-TPrzgajt_PXVPqgetBcOTnOFonTKOKEoj-FgvKF8Lm8nKd4sQA4rhhHSeUhZq_fxmfnxn1mXVUxngwAFgb8JTPrJFa7qImImDwzxjd2WxaNA0SrtXl75xNrHJOAWqElUAXAX7obul4R0rUKh-gYi7iOqbbHdQKBcX0BpRkOvoMopK8_mRXr1EcbcxpdJ1rtuwZm8JjFNfaf2MTnK6sR9PgAi4c3Z-9ccQd-9RE_P-uK6cYwyifteqYr-q8L5-sKuYYnjmlPgThNaFwYlO5SaoIRCiDlFzJ7DMCTvUIo2P_7aPDhmE0FpTmsYSSdXR-3nQcJWmFqclbdUSMk1OuU6dJQAoGZTtlomokTC8GoOCd7L0X-zEdFMMGU_TtIilzSHT5-81GfrLUlcA8CHFW5IvHc5elZhlqF6gup6aroS2AVeoGF6dW6EvK94Qkw7ys1aiE0Dt1X4pPO7XnjnHxj-MQ4=\",\"summary\":[]}"},{"type":"toolCall","id":"call_2VvK5qBWQnhpleyZrUXwi972|fc_00a3ea27180420c50169f7dd463d808197b9c6396cc04613cf","name":"read","arguments":{"path":"/usr/lib/node_modules/openclaw/docs/plugins/sdk-overview.md","offset":271,"limit":25}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":5605,"output":55,"cacheRead":27136,"cacheWrite":0,"totalTokens":32796,"cost":{"input":0.028025,"output":0.00165,"cacheRead":0.013568,"cacheWrite":0,"total":0.043243000000000004}},"stopReason":"toolUse","timestamp":1777851717050,"responseId":"resp_00a3ea27180420c50169f7dd4553c08197a21cfc3d2a4de35d"}}
{"type":"message","id":"248b5743","parentId":"fdec303f","timestamp":"2026-05-03T23:41:58.776Z","message":{"role":"toolResult","toolCallId":"call_2VvK5qBWQnhpleyZrUXwi972|fc_00a3ea27180420c50169f7dd463d808197b9c6396cc04613cf","toolName":"read","content":[{"type":"text","text":"### Memory embedding adapters\n\n| Method | What it registers |\n| ---------------------------------------------- | ---------------------------------------------- |\n| `api.registerMemoryEmbeddingProvider(adapter)` | Memory embedding adapter for the active plugin |\n\n- `registerMemoryCapability` is the preferred exclusive memory-plugin API.\n- `registerMemoryCapability` may also expose `publicArtifacts.listArtifacts(...)`\n so companion plugins can consume exported memory artifacts through\n `openclaw/plugin-sdk/memory-host-core` instead of reaching into a specific\n memory plugin's private layout.\n- `registerMemoryPromptSection`, `registerMemoryFlushPlan`, and\n `registerMemoryRuntime` are legacy-compatible exclusive memory-plugin APIs.\n- `MemoryFlushPlan.model` can pin the flush turn to an exact `provider/model`\n reference, such as `ollama/qwen3:8b`, without inheriting the active fallback\n chain.\n- `registerMemoryEmbeddingProvider` lets the active memory plugin register one\n or more embedding adapter ids (for example `openai`, `gemini`, or a custom\n plugin-defined id).\n- User config such as `agents.defaults.memorySearch.provider` and\n `agents.defaults.memorySearch.fallback` resolves against those registered\n adapter ids.\n\n### Events and lifecycle\n\n\n[106 more lines in file. Use offset=296 to continue.]"}],"isError":false,"timestamp":1777851718775}}
{"type":"message","id":"22de5839","parentId":"248b5743","timestamp":"2026-05-03T23:42:00.441Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_H0x2dk62MEnNIYkX3IOALZl7|fc_00a3ea27180420c50169f7dd47ec4c8197a2f25bdc4f7232c5","name":"read","arguments":{"path":"/usr/lib/node_modules/openclaw/docs/gateway/configuration-examples.md","offset":260,"limit":40}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":821,"output":40,"cacheRead":32256,"cacheWrite":0,"totalTokens":33117,"cost":{"input":0.004105,"output":0.0012000000000000001,"cacheRead":0.016128,"cacheWrite":0,"total":0.021433}},"stopReason":"toolUse","timestamp":1777851718780,"responseId":"resp_00a3ea27180420c50169f7dd470e308197851f7a01b3e1adf9"}}
{"type":"message","id":"f659ac29","parentId":"22de5839","timestamp":"2026-05-03T23:42:00.450Z","message":{"role":"toolResult","toolCallId":"call_H0x2dk62MEnNIYkX3IOALZl7|fc_00a3ea27180420c50169f7dd47ec4c8197a2f25bdc4f7232c5","toolName":"read","content":[{"type":"text","text":" },\n blockStreamingCoalesce: {\n idleMs: 1000,\n },\n humanDelay: {\n mode: \"natural\",\n },\n timeoutSeconds: 600,\n mediaMaxMb: 5,\n typingIntervalSeconds: 5,\n maxConcurrent: 3,\n heartbeat: {\n every: \"30m\",\n model: \"anthropic/claude-sonnet-4-6\",\n target: \"last\",\n directPolicy: \"allow\", // allow (default) | block\n to: \"+15555550123\",\n prompt: \"HEARTBEAT\",\n ackMaxChars: 300,\n },\n memorySearch: {\n provider: \"gemini\",\n model: \"gemini-embedding-001\",\n remote: {\n apiKey: \"${GEMINI_API_KEY}\",\n },\n extraPaths: [\"../team-docs\", \"/srv/shared-notes\"],\n },\n sandbox: {\n mode: \"non-main\",\n scope: \"session\", // preferred over legacy perSession: true\n workspaceRoot: \"~/.openclaw/sandboxes\",\n docker: {\n image: \"openclaw-sandbox:bookworm-slim\",\n workdir: \"/workspace\",\n readOnlyRoot: true,\n tmpfs: [\"/tmp\", \"/var/tmp\", \"/run\"],\n network: \"none\",\n user: \"1000:1000\",\n },\n\n[364 more lines in file. Use offset=300 to continue.]"}],"isError":false,"timestamp":1777851720449}}
{"type":"message","id":"31ca3053","parentId":"f659ac29","timestamp":"2026-05-03T23:42:01.991Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_JeZmjR3hZooKU7So93nFID3K|fc_00a3ea27180420c50169f7dd4985a48197b7218143d89efba9","name":"read","arguments":{"path":"/usr/lib/node_modules/openclaw/docs/gateway/doctor.md","offset":435,"limit":16}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":674,"output":38,"cacheRead":32768,"cacheWrite":0,"totalTokens":33480,"cost":{"input":0.00337,"output":0.00114,"cacheRead":0.016384,"cacheWrite":0,"total":0.020894}},"stopReason":"toolUse","timestamp":1777851720454,"responseId":"resp_00a3ea27180420c50169f7dd48d6408197be6b0494c7ad78c9"}}
{"type":"message","id":"bd9215f6","parentId":"31ca3053","timestamp":"2026-05-03T23:42:01.999Z","message":{"role":"toolResult","toolCallId":"call_JeZmjR3hZooKU7So93nFID3K|fc_00a3ea27180420c50169f7dd4985a48197b7218143d89efba9","toolName":"read","content":[{"type":"text","text":" Doctor checks whether the configured memory search embedding provider is ready for the default agent. The behavior depends on the configured backend and provider:\n\n - **QMD backend**: probes whether the `qmd` binary is available and startable. If not, prints fix guidance including the npm package and a manual binary path option.\n - **Explicit local provider**: checks for a local model file or a recognized remote/downloadable model URL. If missing, suggests switching to a remote provider.\n - **Explicit remote provider** (`openai`, `voyage`, etc.): verifies an API key is present in the environment or auth store. Prints actionable fix hints if missing.\n - **Auto provider**: checks local model availability first, then tries each remote provider in auto-selection order.\n\n When a cached gateway probe result is available (gateway was healthy at the time of the check), doctor cross-references its result with the CLI-visible config and notes any discrepancy. Doctor does not start a fresh embedding ping on the default path; use the deep memory status command when you want a live provider check.\n\n Use `openclaw memory status --deep` to verify embedding readiness at runtime.\n\n \n \n If the gateway is healthy, doctor runs a channel status probe and reports warnings with suggested fixes.\n \n \n\n[45 more lines in file. Use offset=451 to continue.]"}],"isError":false,"timestamp":1777851721999}}
{"type":"message","id":"b3c573b4","parentId":"bd9215f6","timestamp":"2026-05-03T23:42:03.887Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_VzWwCkhr6VnuxOUIxmWSq13S|fc_00a3ea27180420c50169f7dd4b43c0819798dab002aab01d74","name":"exec","arguments":{"command":"openclaw memory status --deep 2>/dev/null || openclaw memory status 2>/dev/null || true","workdir":"/home/rurouni","yieldMs":10000,"timeout":60}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":516,"output":61,"cacheRead":33280,"cacheWrite":0,"totalTokens":33857,"cost":{"input":0.0025800000000000003,"output":0.00183,"cacheRead":0.01664,"cacheWrite":0,"total":0.02105}},"stopReason":"toolUse","timestamp":1777851722004,"responseId":"resp_00a3ea27180420c50169f7dd4a57a48197beb462905eeb4f9d"}}
{"type":"message","id":"71cf8ee7","parentId":"b3c573b4","timestamp":"2026-05-03T23:42:13.908Z","message":{"role":"toolResult","toolCallId":"call_VzWwCkhr6VnuxOUIxmWSq13S|fc_00a3ea27180420c50169f7dd4b43c0819798dab002aab01d74","toolName":"exec","content":[{"type":"text","text":"Command still running (session clear-lobster, pid 57583). Use process (list/poll/log/write/kill/clear/remove) for follow-up."}],"details":{"status":"running","sessionId":"clear-lobster","pid":57583,"startedAt":1777851723896,"cwd":"/home/rurouni","tail":""},"isError":false,"timestamp":1777851733908}}
{"type":"message","id":"71551c7b","parentId":"71cf8ee7","timestamp":"2026-05-03T23:42:15.629Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_YClOr4s0l89FToUn8Yntjsjh|fc_00a3ea27180420c50169f7dd572da481979e920c5da8facdfe","name":"process","arguments":{"action":"poll","sessionId":"clear-lobster","timeout":30000,"limit":4000}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":620,"output":35,"cacheRead":33280,"cacheWrite":0,"totalTokens":33935,"cost":{"input":0.0031000000000000003,"output":0.00105,"cacheRead":0.01664,"cacheWrite":0,"total":0.02079}},"stopReason":"toolUse","timestamp":1777851733912,"responseId":"resp_00a3ea27180420c50169f7dd5631fc819795cfb54160521bb9"}}
{"type":"message","id":"21ddb958","parentId":"71551c7b","timestamp":"2026-05-03T23:42:19.888Z","message":{"role":"toolResult","toolCallId":"call_YClOr4s0l89FToUn8Yntjsjh|fc_00a3ea27180420c50169f7dd572da481979e920c5da8facdfe","toolName":"process","content":[{"type":"text","text":"Memory Search (main)\nProvider: none (requested: auto)\nModel: none\nSources: memory\nIndexed: 6/6 files Β· 12 chunks\nDirty: yes\nStore: ~/.openclaw/memory/main.sqlite\nWorkspace: ~\nDreaming: off\nEmbeddings: unavailable\nEmbeddings error: No GitHub token available for Copilot embedding provider\n\nNo API key found for provider \"openai\". You are authenticated with OpenAI Codex OAuth. Use openai-codex/gpt-5.5, or set OPENAI_API_KEY for direct OpenAI API access.\n\nNo API key found for provider \"google\". Auth store: /home/rurouni/.openclaw/agents/main/agent/auth-profiles.json (agentDir: /home/rurouni/.openclaw/agents/main/agent). Configure auth for this agent (openclaw agents add ) or copy only portable static auth profiles from the main agentDir.\n\nNo API key found for provider \"voyage\". Auth store: /home/rurouni/.openclaw/agents/main/agent/auth-profiles.json (agentDir: /home/rurouni/.openclaw/agents/main/agent). Configure auth for this agent (openclaw agents add ) or copy only portable static auth profiles from the main agentDir.\n\nNo API key found for provider \"mistral\". Auth store: /home/rurouni/.openclaw/agents/main/agent/auth-profiles.json (agentDir: /home/rurouni/.openclaw/agents/main/agent). Configure auth for this agent (openclaw agents add ) or copy only portable static auth profiles from the main agentDir.\n\nNo API key found for provider \"deepinfra\". Auth store: /home/rurouni/.openclaw/agents/main/agent/auth-profiles.json (agentDir: /home/rurouni/.openclaw/agents/main/agent). Configure auth for this agent (openclaw agents add ) or copy only portable static auth profiles from the main agentDir.\n\nNo API key found for provider \"bedrock\". AWS credentials are not available. Set AWS_ACCESS_KEY_ID/AWS_SECRET_ACCESS_KEY, AWS_PROFILE, or AWS_BEARER_TOKEN_BEDROCK, configure an EC2/ECS/EKS role, or set agents.defaults.memorySearch.provider to another provider.\nBy source:\n memory Β· 6/6 files Β· 12 chunks\nVector: unknown\nFTS: ready\nEmbedding cache: enabled (0 entries)\nBatch: disabled (failures 0/2)\nRecall store: 22 entries Β· 0 promoted Β· 22 concept-tagged Β· 0 spaced Β· scripts=22 latin\nRecall path: ~/memory/.dreams/short-term-recall.json\nRecall updated: 2026-05-03T23:41:30.288Z\nDreaming artifacts: diary absent Β· 0 corpus files Β· ingestion state absent\nDream corpus: ~/memory/.dreams/session-corpus\nDream ingestion: ~/memory/.dreams/session-ingestion.json\n\nProcess exited with code 0."}],"details":{"status":"completed","sessionId":"clear-lobster","exitCode":0,"aggregated":"Memory Search (main)\nProvider: none (requested: auto)\nModel: none\nSources: memory\nIndexed: 6/6 files Β· 12 chunks\nDirty: yes\nStore: ~/.openclaw/memory/main.sqlite\nWorkspace: ~\nDreaming: off\nEmbeddings: unavailable\nEmbeddings error: No GitHub token available for Copilot embedding provider\n\nNo API key found for provider \"openai\". You are authenticated with OpenAI Codex OAuth. Use openai-codex/gpt-5.5, or set OPENAI_API_KEY for direct OpenAI API access.\n\nNo API key found for provider \"google\". Auth store: /home/rurouni/.openclaw/agents/main/agent/auth-profiles.json (agentDir: /home/rurouni/.openclaw/agents/main/agent). Configure auth for this agent (openclaw agents add ) or copy only portable static auth profiles from the main agentDir.\n\nNo API key found for provider \"voyage\". Auth store: /home/rurouni/.openclaw/agents/main/agent/auth-profiles.json (agentDir: /home/rurouni/.openclaw/agents/main/agent). Configure auth for this agent (openclaw agents add ) or copy only portable static auth profiles from the main agentDir.\n\nNo API key found for provider \"mistral\". Auth store: /home/rurouni/.openclaw/agents/main/agent/auth-profiles.json (agentDir: /home/rurouni/.openclaw/agents/main/agent). Configure auth for this agent (openclaw agents add ) or copy only portable static auth profiles from the main agentDir.\n\nNo API key found for provider \"deepinfra\". Auth store: /home/rurouni/.openclaw/agents/main/agent/auth-profiles.json (agentDir: /home/rurouni/.openclaw/agents/main/agent). Configure auth for this agent (openclaw agents add ) or copy only portable static auth profiles from the main agentDir.\n\nNo API key found for provider \"bedrock\". AWS credentials are not available. Set AWS_ACCESS_KEY_ID/AWS_SECRET_ACCESS_KEY, AWS_PROFILE, or AWS_BEARER_TOKEN_BEDROCK, configure an EC2/ECS/EKS role, or set agents.defaults.memorySearch.provider to another provider.\nBy source:\n memory Β· 6/6 files Β· 12 chunks\nVector: unknown\nFTS: ready\nEmbedding cache: enabled (0 entries)\nBatch: disabled (failures 0/2)\nRecall store: 22 entries Β· 0 promoted Β· 22 concept-tagged Β· 0 spaced Β· scripts=22 latin\nRecall path: ~/memory/.dreams/short-term-recall.json\nRecall updated: 2026-05-03T23:41:30.288Z\nDreaming artifacts: diary absent Β· 0 corpus files Β· ingestion state absent\nDream corpus: ~/memory/.dreams/session-corpus\nDream ingestion: ~/memory/.dreams/session-ingestion.json\n\n","name":"openclaw memory"},"isError":false,"timestamp":1777851739888}}
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{"type":"message","id":"77faae72","parentId":"73ef40a0","timestamp":"2026-05-03T23:42:25.254Z","message":{"role":"toolResult","toolCallId":"call_M7T7VcAltgVidq9liFjIyjzI|fc_00a3ea27180420c50169f7dd5fe0a88197b3f0adb75f7789e0","toolName":"exec","content":[{"type":"text","text":"/usr/lib/node_modules/openclaw/dist/doctor-memory-search-Bril_LLu.js:254:\t\t\t\tsuggestedRemoteProvider ? `- Switch to a remote provider: ${formatCliCommand(`openclaw config set agents.defaults.memorySearch.provider ${suggestedRemoteProvider}`)}` : `- Switch to a remote embedding provider in config`,\n/usr/lib/node_modules/openclaw/dist/doctor-memory-search-Bril_LLu.js:316:\t\t`- For local embeddings: configure agents.defaults.memorySearch.provider and local model path`,\n/usr/lib/node_modules/openclaw/dist/memory-embedding-adapter-eBx6Jj3k.js:13:\t\tif (!await hasAwsCredentials()) throw new Error(\"No API key found for provider \\\"bedrock\\\". AWS credentials are not available. Set AWS_ACCESS_KEY_ID/AWS_SECRET_ACCESS_KEY, AWS_PROFILE, or AWS_BEARER_TOKEN_BEDROCK, configure an EC2/ECS/EKS role, or set agents.defaults.memorySearch.provider to another provider.\");\n/usr/lib/node_modules/openclaw/dist/backend-config-B2YXqpz-.js:207:\tconst mergedExtraCollections = [...params.cfg.agents?.defaults?.memorySearch?.qmd?.extraCollections ?? [], ...agentEntry?.memorySearch?.qmd?.extraCollections ?? []].filter((value) => value !== null && typeof value === \"object\" && typeof value.path === \"string\");\n/usr/lib/node_modules/openclaw/dist/embeddings-http-B5nsrWJy.js:52:\t\t\tlocal: params.memorySearch?.local,\n/usr/lib/node_modules/openclaw/dist/embeddings-http-B5nsrWJy.js:158:\tconst configuredProvider = memorySearch?.provider ?? \"openai\";\n/usr/lib/node_modules/openclaw/dist/embeddings-http-B5nsrWJy.js:160:\t\trequestModel: normalizeOptionalString(getHeader(req, \"x-openclaw-model\")) || normalizeOptionalString(memorySearch?.model) || \"\",\n/usr/lib/node_modules/openclaw/dist/embedding-provider-BCCt6wDL.js:97:\t\t\tpath: \"agents.*.memorySearch.remote.apiKey\"\n/usr/lib/node_modules/openclaw/dist/runtime-schema-Dm1YBMh7.js:3824:\t\t\t\t\t\t\t\t\t\tdescription: \"Optional multimodal memory settings for indexing image and audio files from configured extra paths. Keep this off unless your embedding model explicitly supports cross-modal embeddings, and set `memorySearch.fallback` to \\\"none\\\" while it is enabled. Matching files are uploaded to the configured remote embedding provider during indexing.\"\n/usr/lib/node_modules/openclaw/dist/runtime-schema-Dm1YBMh7.js:23637:\t\t\"agents.defaults.memorySearch.qmd\": {\n/usr/lib/node_modules/openclaw/dist/runtime-schema-Dm1YBMh7.js:23642:\t\t\"agents.defaults.memorySearch.qmd.extraCollections\": {\n/usr/lib/node_modules/openclaw/dist/runtime-schema-Dm1YBMh7.js:23647:\t\t\"agents.defaults.memorySearch.qmd.extraCollections.path\": {\n/usr/lib/node_modules/openclaw/dist/runtime-schema-Dm1YBMh7.js:23652:\t\t\"agents.defaults.memorySearch.qmd.extraCollections.name\": {\n/usr/lib/node_modules/openclaw/dist/runtime-schema-Dm1YBMh7.js:23657:\t\t\"agents.defaults.memorySearch.qmd.extraCollections.pattern\": {\n/usr/lib/node_modules/openclaw/dist/runtime-schema-Dm1YBMh7.js:23664:\t\t\thelp: \"Optional multimodal memory settings for indexing image and audio files from configured extra paths. Keep this off unless your embedding model explicitly supports cross-modal embeddings, and set `memorySearch.fallback` to \\\"none\\\" while it is enabled. Matching files are uploaded to the configured remote embedding provider during indexing.\",\n/usr/lib/node_modules/openclaw/dist/runtime-schema-Dm1YBMh7.js:23691:\t\t\"agents.defaults.memorySearch.provider\": {\n/usr/lib/node_modules/openclaw/dist/runtime-schema-Dm1YBMh7.js:23742:\t\t\"agents.defaults.memorySearch.model\": {\n/usr/lib/node_modules/openclaw/dist/runtime-schema-Dm1YBMh7.js:23772:\t\t\"agents.defaults.memorySearch.local.modelPath\": {\n/usr/lib/node_modules/openclaw/dist/runtime-schema-Dm1YBMh7.js:23777:\t\t\"agents.defaults.memorySearch.local.contextSize\": {\n/usr/lib/node_modules/openclaw/dist/provider-adapters-CJF5e-qr.js:24:\t\treturn listMemoryEmbeddingProviders().filter((adapter) => adapter.transport === \"remote\" && typeof adapter.autoSelectPriority === \"number\").toSorted((a, b) => (a.autoSelectPriority ?? 0) - (b.autoSelectPriority ?? 0)).map((adapter) => `Or set agents.defaults.memorySearch.provider = \"${adapter.id}\" (remote).`);\n/usr/lib/node_modules/openclaw/dist/embedding-provider-BSa1nhOD.js:69:\t\tpath: \"agents.*.memorySearch.remote.apiKey\"\n/usr/lib/node_modules/openclaw/dist/memory-search-C4651Mqm.js:220:\tif (multimodalActive && multimodalProvider && !(multimodalProvider.supportsMultimodalEmbeddings?.({ model: resolved.model }) ?? false)) throw new Error(\"agents.*.memorySearch.multimodal requires a provider adapter that supports multimodal embeddings for the configured model.\");\n/usr/lib/node_modules/openclaw/docs/gateway/configuration-reference.md:26:- [Memory configuration reference](/reference/memory-config) for `agents.defaults.memorySearch.*`, `memory.qmd.*`, `memory.citations`, and dreaming config under `plugins.entries.memory-core.config.dreaming`\n/usr/lib/node_modules/openclaw/docs/plugins/sdk-overview.md:290:- User config such as `agents.defaults.memorySearch.provider` and\n/usr/lib/node_modules/openclaw/docs/help/faq.md:530: `memorySearch.provider = \"ollama\"`.\n/usr/lib/node_modules/openclaw/docs/help/faq.md:532: If you'd rather stay local, set `memorySearch.provider = \"local\"` (and optionally\n/usr/lib/node_modules/openclaw/docs/help/faq.md:534: `memorySearch.provider = \"gemini\"` and provide `GEMINI_API_KEY` (or\n/usr/lib/node_modules/openclaw/docs/help/faq.md:535: `memorySearch.remote.apiKey`). We support **OpenAI, Gemini, Voyage, Mistral, Ollama, or local** embedding\n/usr/lib/node_modules/openclaw/docs/concepts/memory-search.md:43:`memorySearch.documentInputType`; see the [Memory configuration reference](/reference/memory-config#provider-specific-config).\n/usr/lib/node_modules/openclaw/docs/concepts/memory-builtin.md:74:order shown. Set `memorySearch.provider` to override.\n/usr/lib/node_modules/openclaw/docs/concepts/memory-builtin.md:124:when `memorySearch.local.modelPath` points to an existing local file.\n/usr/lib/node_modules/openclaw/docs/concepts/multi-agent.md:133:If one agent should search another agent's QMD session transcripts, add extra collections under `agents.list[].memorySearch.qmd.extraCollections`. Use `agents.defaults.memorySearch.qmd.extraCollections` only when every agent should inherit the same shared transcript collections.\n/usr/lib/node_modules/openclaw/docs/concepts/active-memory.md:658: If `memorySearch.provider` is unset, OpenClaw auto-detects the first\n/usr/lib/node_modules/openclaw/docs/reference/memory-config.md:62: Selected if `memorySearch.local.modelPath` is configured and the file exists.\n/usr/lib/node_modules/openclaw/docs/reference/memory-config.md:91:`memorySearch.provider` can point at a custom `models.providers.` entry. OpenClaw resolves that provider's `api` owner for the embedding adapter while preserving the custom provider id for endpoint, auth, and model-prefix handling. This lets multi-GPU or multi-host setups dedicate memory embeddings to a specific local endpoint:\n/usr/lib/node_modules/openclaw/docs/reference/memory-config.md:385:For agent-scoped cross-agent transcript search, use `agents.list[].memorySearch.qmd.extraCollections` instead of `memory.qmd.paths`. Those extra collections follow the same `{ path, name, pattern? }` shape, but they are merged per agent and can preserve explicit shared names when the path points outside the current workspace. If the same resolved path appears in both `memory.qmd.paths` and `memorySearch.qmd.extraCollections`, QMD keeps the first entry and skips the duplicate.\n/usr/lib/node_modules/openclaw/docs/reference/api-usage-costs.md:112:- `memorySearch.provider = \"openai\"` β OpenAI embeddings\n/usr/lib/node_modules/openclaw/docs/reference/api-usage-costs.md:113:- `memorySearch.provider = \"gemini\"` β Gemini embeddings\n/usr/lib/node_modules/openclaw/docs/reference/api-usage-costs.md:114:- `memorySearch.provider = \"voyage\"` β Voyage embeddings\n/usr/lib/node_modules/openclaw/docs/reference/api-usage-costs.md:115:- `memorySearch.provider = \"mistral\"` β Mistral embeddings\n/usr/lib/node_modules/openclaw/docs/reference/api-usage-costs.md:116:- `memorySearch.provider = \"deepinfra\"` β DeepInfra embeddings\n/usr/lib/node_modules/openclaw/docs/reference/api-usage-costs.md:117:- `memorySearch.provider = \"lmstudio\"` β LM Studio embeddings (local/self-hosted)\n/usr/lib/node_modules/openclaw/docs/reference/api-usage-costs.md:118:- `memorySearch.provider = \"ollama\"` β Ollama embeddings (local/self-hosted; typically no hosted API billing)\n/usr/lib/node_modules/openclaw/docs/reference/api-usage-costs.md:121:You can keep it local with `memorySearch.provider = \"local\"` (no API usage).\n/usr/lib/node_modules/openclaw/docs/providers/openai.md:99: memorySearch: {\n/usr/lib/node_modules/openclaw/docs/providers/openai.md:109:`queryInputType` and `documentInputType` under `memorySearch`. OpenClaw forwards\n/usr/lib/node_modules/openclaw/docs/providers/mistral.md:12:Mistral can also be used for memory embeddings (`memorySearch.provider = \"mistral\"`).\n/usr/lib/node_modules/openclaw/docs/providers/mistral.md:153: memorySearch: { provider: \"mistral\" },\n/usr/lib/node_modules/openclaw/docs/providers/deepinfra.md:57:| Memory embeddings | `BAAI/bge-m3` | `agents.defaults.memorySearch.provider: \"deepinfra\"` |\n/usr/lib/node_modules/openclaw/docs/providers/ollama.md:28: Custom provider ids that set `api: \"ollama\"` follow the same rules. For example, an `ollama-remote` provider that points at a private LAN Ollama host can use `apiKey: \"ollama-local\"` and sub-agents will resolve that marker through the Ollama provider hook instead of treating it as a missing credential. Memory search can also set `agents.defaults.memorySearch.provider` to that custom provider id so embeddings use the matching Ollama endpoint.\n/usr/lib/node_modules/openclaw/docs/providers/ollama.md:37: - `agents.*.memorySearch.remote.apiKey` is sent only to its remote embedding host.\n/usr/lib/node_modules/openclaw/docs/providers/ollama.md:929: memorySearch: {\n/usr/lib/node_modules/openclaw/docs/providers/ollama.md:947: memorySearch: {\n/usr/lib/node_modules/openclaw/docs/providers/github-copilot.md:155:When `memorySearch.provider` is `\"auto\"` (the default), GitHub Copilot is tried\n/usr/lib/node_modules/openclaw/docs/providers/github-copilot.md:166: memorySearch: {\n/usr/lib/node_modules/openclaw/docs/providers/bedrock.md:312: inference provider -- set `agents.defaults.memorySearch.provider` to `\"bedrock\"`:\n/usr/lib/node_modules/openclaw/docs/providers/bedrock.md:318: memorySearch: {"}],"details":{"persistedDetailsTruncated":true,"originalDetailsBytesAtLeast":8193,"originalDetailKeys":["status","exitCode","durationMs","aggregated","cwd"],"status":"completed","cwd":"/home/rurouni","exitCode":0},"isError":false,"timestamp":1777851745253}}
{"type":"message","id":"741698c6","parentId":"77faae72","timestamp":"2026-05-03T23:42:26.782Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_2ZlM6xY5L1u1qY0rVEtcTHmn|fc_00a3ea27180420c50169f7dd623ecc81979db94daef6bd7d26","name":"read","arguments":{"path":"/usr/lib/node_modules/openclaw/docs/reference/memory-config.md","offset":50,"limit":80}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":3096,"output":38,"cacheRead":34304,"cacheWrite":0,"totalTokens":37438,"cost":{"input":0.01548,"output":0.00114,"cacheRead":0.017152,"cacheWrite":0,"total":0.033771999999999996}},"stopReason":"toolUse","timestamp":1777851745259,"responseId":"resp_00a3ea27180420c50169f7dd618c588197aa28a131ea2e75c5"}}
{"type":"message","id":"635e6ca9","parentId":"741698c6","timestamp":"2026-05-03T23:42:26.791Z","message":{"role":"toolResult","toolCallId":"call_2ZlM6xY5L1u1qY0rVEtcTHmn|fc_00a3ea27180420c50169f7dd623ecc81979db94daef6bd7d26","toolName":"read","content":[{"type":"text","text":"| ---------- | --------- | ---------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| `provider` | `string` | auto-detected | Embedding adapter ID such as `bedrock`, `deepinfra`, `gemini`, `github-copilot`, `local`, `mistral`, `ollama`, `openai`, or `voyage`; may also be a configured `models.providers.` whose `api` points at one of those adapters |\n| `model` | `string` | provider default | Embedding model name |\n| `fallback` | `string` | `\"none\"` | Fallback adapter ID when the primary fails |\n| `enabled` | `boolean` | `true` | Enable or disable memory search |\n\n### Auto-detection order\n\nWhen `provider` is not set, OpenClaw selects the first available:\n\n\n \n Selected if `memorySearch.local.modelPath` is configured and the file exists.\n \n \n Selected if a GitHub Copilot token can be resolved (env var or auth profile).\n \n \n Selected if an OpenAI key can be resolved.\n \n \n Selected if a Gemini key can be resolved.\n \n \n Selected if a Voyage key can be resolved.\n \n \n Selected if a Mistral key can be resolved.\n \n \n Selected if a DeepInfra key can be resolved.\n \n \n Selected if the AWS SDK credential chain resolves (instance role, access keys, profile, SSO, web identity, or shared config).\n \n\n\n`ollama` is supported but not auto-detected (set it explicitly).\n\n### Custom provider ids\n\n`memorySearch.provider` can point at a custom `models.providers.` entry. OpenClaw resolves that provider's `api` owner for the embedding adapter while preserving the custom provider id for endpoint, auth, and model-prefix handling. This lets multi-GPU or multi-host setups dedicate memory embeddings to a specific local endpoint:\n\n```json5\n{\n models: {\n providers: {\n \"ollama-5080\": {\n api: \"ollama\",\n baseUrl: \"http://gpu-box.local:11435\",\n apiKey: \"ollama-local\",\n models: [{ id: \"qwen3-embedding:0.6b\" }],\n },\n },\n },\n agents: {\n defaults: {\n memorySearch: {\n provider: \"ollama-5080\",\n model: \"qwen3-embedding:0.6b\",\n },\n },\n },\n}\n```\n\n### API key resolution\n\nRemote embeddings require an API key. Bedrock uses the AWS SDK default credential chain instead (instance roles, SSO, access keys).\n\n| Provider | Env var | Config key |\n| -------------- | -------------------------------------------------- | ----------------------------------- |\n| Bedrock | AWS credential chain | No API key needed |\n| DeepInfra | `DEEPINFRA_API_KEY` | `models.providers.deepinfra.apiKey` |\n| Gemini | `GEMINI_API_KEY` | `models.providers.google.apiKey` |\n| GitHub Copilot | `COPILOT_GITHUB_TOKEN`, `GH_TOKEN`, `GITHUB_TOKEN` | Auth profile via device login |\n| Mistral | `MISTRAL_API_KEY` | `models.providers.mistral.apiKey` |\n| Ollama | `OLLAMA_API_KEY` (placeholder) | -- |\n| OpenAI | `OPENAI_API_KEY` | `models.providers.openai.apiKey` |\n| Voyage | `VOYAGE_API_KEY` | `models.providers.voyage.apiKey` |\n\n[502 more lines in file. Use offset=130 to continue.]"}],"isError":false,"timestamp":1777851746790}}
{"type":"message","id":"56c0582c","parentId":"635e6ca9","timestamp":"2026-05-03T23:42:28.238Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_tdkJKLwSzJG2aBfq4DuPKpxr|fc_00a3ea27180420c50169f7dd63d318819798a17e711fbb19b2","name":"read","arguments":{"path":"/usr/lib/node_modules/openclaw/docs/reference/memory-config.md","offset":130,"limit":90}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":1458,"output":38,"cacheRead":36864,"cacheWrite":0,"totalTokens":38360,"cost":{"input":0.0072900000000000005,"output":0.00114,"cacheRead":0.018432,"cacheWrite":0,"total":0.026862}},"stopReason":"toolUse","timestamp":1777851746796,"responseId":"resp_00a3ea27180420c50169f7dd63179881979875d22977149336"}}
{"type":"message","id":"44568d20","parentId":"56c0582c","timestamp":"2026-05-03T23:42:28.247Z","message":{"role":"toolResult","toolCallId":"call_tdkJKLwSzJG2aBfq4DuPKpxr|fc_00a3ea27180420c50169f7dd63d318819798a17e711fbb19b2","toolName":"read","content":[{"type":"text","text":"\n\nCodex OAuth covers chat/completions only and does not satisfy embedding requests.\n\n\n---\n\n## Remote endpoint config\n\nFor custom OpenAI-compatible endpoints or overriding provider defaults:\n\n\n Custom API base URL.\n\n\n Override API key.\n\n\n Extra HTTP headers (merged with provider defaults).\n\n\n```json5\n{\n agents: {\n defaults: {\n memorySearch: {\n provider: \"openai\",\n model: \"text-embedding-3-small\",\n remote: {\n baseUrl: \"https://api.example.com/v1/\",\n apiKey: \"YOUR_KEY\",\n },\n },\n },\n },\n}\n```\n\n---\n\n## Provider-specific config\n\n\n \n | Key | Type | Default | Description |\n | ---------------------- | -------- | ---------------------- | ------------------------------------------ |\n | `model` | `string` | `gemini-embedding-001` | Also supports `gemini-embedding-2-preview` |\n | `outputDimensionality` | `number` | `3072` | For Embedding 2: 768, 1536, or 3072 |\n\n \n Changing model or `outputDimensionality` triggers an automatic full reindex.\n \n\n \n \n OpenAI-compatible embedding endpoints can opt into provider-specific `input_type` request fields. This is useful for asymmetric embedding models that require different labels for query and document embeddings.\n\n | Key | Type | Default | Description |\n | ------------------- | -------- | ------- | ------------------------------------------------------- |\n | `inputType` | `string` | unset | Shared `input_type` for query and document embeddings |\n | `queryInputType` | `string` | unset | Query-time `input_type`; overrides `inputType` |\n | `documentInputType` | `string` | unset | Index/document `input_type`; overrides `inputType` |\n\n ```json5\n {\n agents: {\n defaults: {\n memorySearch: {\n provider: \"openai\",\n remote: {\n baseUrl: \"https://embeddings.example/v1\",\n apiKey: \"env:EMBEDDINGS_API_KEY\",\n },\n model: \"asymmetric-embedder\",\n queryInputType: \"query\",\n documentInputType: \"passage\",\n },\n },\n },\n }\n ```\n\n Changing these values affects embedding cache identity for provider batch indexing and should be followed by a memory reindex when the upstream model treats the labels differently.\n\n \n \n ### Bedrock embedding config\n\n Bedrock uses the AWS SDK default credential chain β no API keys needed. If OpenClaw runs on EC2 with a Bedrock-enabled instance role, just set the provider and model:\n\n\n[412 more lines in file. Use offset=220 to continue.]"}],"isError":false,"timestamp":1777851748246}}
{"type":"message","id":"12efb326","parentId":"44568d20","timestamp":"2026-05-03T23:42:29.765Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_Ms7Gdnz3Ggszszlvc8kjfvLf|fc_00a3ea27180420c50169f7dd654820819793f7633e99cbc302","name":"read","arguments":{"path":"/usr/lib/node_modules/openclaw/docs/reference/memory-config.md","offset":300,"limit":70}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":1164,"output":38,"cacheRead":37888,"cacheWrite":0,"totalTokens":39090,"cost":{"input":0.0058200000000000005,"output":0.00114,"cacheRead":0.018944,"cacheWrite":0,"total":0.025904}},"stopReason":"toolUse","timestamp":1777851748251,"responseId":"resp_00a3ea27180420c50169f7dd648a708197ae493fcc775b5873"}}
{"type":"message","id":"56d3a93a","parentId":"12efb326","timestamp":"2026-05-03T23:42:29.773Z","message":{"role":"toolResult","toolCallId":"call_Ms7Gdnz3Ggszszlvc8kjfvLf|fc_00a3ea27180420c50169f7dd654820819793f7633e99cbc302","toolName":"read","content":[{"type":"text","text":" \n\n\n### Inline embedding timeout\n\n\n Override the timeout for inline embedding batches during memory indexing.\n\nUnset uses the provider default: 600 seconds for local/self-hosted providers such as `local`, `ollama`, and `lmstudio`, and 120 seconds for hosted providers. Increase this when local CPU-bound embedding batches are healthy but slow.\n\n\n---\n\n## Hybrid search config\n\nAll under `memorySearch.query.hybrid`:\n\n| Key | Type | Default | Description |\n| --------------------- | --------- | ------- | ---------------------------------- |\n| `enabled` | `boolean` | `true` | Enable hybrid BM25 + vector search |\n| `vectorWeight` | `number` | `0.7` | Weight for vector scores (0-1) |\n| `textWeight` | `number` | `0.3` | Weight for BM25 scores (0-1) |\n| `candidateMultiplier` | `number` | `4` | Candidate pool size multiplier |\n\n\n \n | Key | Type | Default | Description |\n | ------------- | --------- | ------- | ------------------------------------ |\n | `mmr.enabled` | `boolean` | `false` | Enable MMR re-ranking |\n | `mmr.lambda` | `number` | `0.7` | 0 = max diversity, 1 = max relevance |\n \n \n | Key | Type | Default | Description |\n | ---------------------------- | --------- | ------- | ------------------------- |\n | `temporalDecay.enabled` | `boolean` | `false` | Enable recency boost |\n | `temporalDecay.halfLifeDays` | `number` | `30` | Score halves every N days |\n\n Evergreen files (`MEMORY.md`, non-dated files in `memory/`) are never decayed.\n\n \n\n\n### Full example\n\n```json5\n{\n agents: {\n defaults: {\n memorySearch: {\n query: {\n hybrid: {\n vectorWeight: 0.7,\n textWeight: 0.3,\n mmr: { enabled: true, lambda: 0.7 },\n temporalDecay: { enabled: true, halfLifeDays: 30 },\n },\n },\n },\n },\n },\n}\n```\n\n---\n\n## Additional memory paths\n\n| Key | Type | Description |\n| ------------ | ---------- | ---------------------------------------- |\n| `extraPaths` | `string[]` | Additional directories or files to index |\n\n[262 more lines in file. Use offset=370 to continue.]"}],"isError":false,"timestamp":1777851749773}}
{"type":"message","id":"ae7f7b86","parentId":"56d3a93a","timestamp":"2026-05-03T23:42:31.190Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_nyH1kCy70LmReaQY2vttttyQ|fc_00a3ea27180420c50169f7dd66bbd4819782ff07f81dfb6164","name":"read","arguments":{"path":"/usr/lib/node_modules/openclaw/docs/concepts/memory-builtin.md","offset":110,"limit":35}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":796,"output":40,"cacheRead":38912,"cacheWrite":0,"totalTokens":39748,"cost":{"input":0.00398,"output":0.0012000000000000001,"cacheRead":0.019455999999999998,"cacheWrite":0,"total":0.024635999999999998}},"stopReason":"toolUse","timestamp":1777851749778,"responseId":"resp_00a3ea27180420c50169f7dd661160819795755de4d61176ef"}}
{"type":"message","id":"bf0b277a","parentId":"ae7f7b86","timestamp":"2026-05-03T23:42:31.198Z","message":{"role":"toolResult","toolCallId":"call_nyH1kCy70LmReaQY2vttttyQ|fc_00a3ea27180420c50169f7dd66bbd4819782ff07f81dfb6164","toolName":"read","content":[{"type":"text","text":"## Troubleshooting\n\n**Memory search disabled?** Check `openclaw memory status`. If no provider is\ndetected, set one explicitly or add an API key.\n\n**Local provider not detected?** Confirm the local path exists and run:\n\n```bash\nopenclaw memory status --deep --agent main\nopenclaw memory index --force --agent main\n```\n\nBoth standalone CLI commands and the Gateway use the same `local` provider id.\nIf the provider is set to `auto`, local embeddings are considered first only\nwhen `memorySearch.local.modelPath` points to an existing local file.\n\n**Stale results?** Run `openclaw memory index --force` to rebuild. The watcher\nmay miss changes in rare edge cases.\n\n**sqlite-vec not loading?** OpenClaw falls back to in-process cosine similarity\nautomatically. Check logs for the specific load error.\n\n## Configuration\n\nFor embedding provider setup, hybrid search tuning (weights, MMR, temporal\ndecay), batch indexing, multimodal memory, sqlite-vec, extra paths, and all\nother config knobs, see the\n[Memory configuration reference](/reference/memory-config).\n\n## Related\n\n- [Memory overview](/concepts/memory)\n- [Memory search](/concepts/memory-search)\n- [Active memory](/concepts/active-memory)\n"}],"isError":false,"timestamp":1777851751198}}
{"type":"message","id":"5ba04f81","parentId":"bf0b277a","timestamp":"2026-05-03T23:42:33.069Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_DqZj6wHqqC3pH7W2b5ywgBDR|fc_00a3ea27180420c50169f7dd6875ec8197ab0ce329a92098f9","name":"read","arguments":{"path":"/usr/lib/node_modules/openclaw/docs/reference/memory-config.md","offset":220,"limit":80}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":613,"output":38,"cacheRead":39424,"cacheWrite":0,"totalTokens":40075,"cost":{"input":0.0030650000000000004,"output":0.00114,"cacheRead":0.019712,"cacheWrite":0,"total":0.023917}},"stopReason":"toolUse","timestamp":1777851751203,"responseId":"resp_00a3ea27180420c50169f7dd67a42881978e3ac3f129104f3c"}}
{"type":"message","id":"597a3e1c","parentId":"5ba04f81","timestamp":"2026-05-03T23:42:33.078Z","message":{"role":"toolResult","toolCallId":"call_DqZj6wHqqC3pH7W2b5ywgBDR|fc_00a3ea27180420c50169f7dd6875ec8197ab0ce329a92098f9","toolName":"read","content":[{"type":"text","text":" ```json5\n {\n agents: {\n defaults: {\n memorySearch: {\n provider: \"bedrock\",\n model: \"amazon.titan-embed-text-v2:0\",\n },\n },\n },\n }\n ```\n\n | Key | Type | Default | Description |\n | ---------------------- | -------- | ------------------------------ | ------------------------------- |\n | `model` | `string` | `amazon.titan-embed-text-v2:0` | Any Bedrock embedding model ID |\n | `outputDimensionality` | `number` | model default | For Titan V2: 256, 512, or 1024 |\n\n **Supported models** (with family detection and dimension defaults):\n\n | Model ID | Provider | Default Dims | Configurable Dims |\n | ------------------------------------------ | ---------- | ------------ | -------------------- |\n | `amazon.titan-embed-text-v2:0` | Amazon | 1024 | 256, 512, 1024 |\n | `amazon.titan-embed-text-v1` | Amazon | 1536 | -- |\n | `amazon.titan-embed-g1-text-02` | Amazon | 1536 | -- |\n | `amazon.titan-embed-image-v1` | Amazon | 1024 | -- |\n | `amazon.nova-2-multimodal-embeddings-v1:0` | Amazon | 1024 | 256, 384, 1024, 3072 |\n | `cohere.embed-english-v3` | Cohere | 1024 | -- |\n | `cohere.embed-multilingual-v3` | Cohere | 1024 | -- |\n | `cohere.embed-v4:0` | Cohere | 1536 | 256-1536 |\n | `twelvelabs.marengo-embed-3-0-v1:0` | TwelveLabs | 512 | -- |\n | `twelvelabs.marengo-embed-2-7-v1:0` | TwelveLabs | 1024 | -- |\n\n Throughput-suffixed variants (e.g., `amazon.titan-embed-text-v1:2:8k`) inherit the base model's configuration.\n\n **Authentication:** Bedrock auth uses the standard AWS SDK credential resolution order:\n\n 1. Environment variables (`AWS_ACCESS_KEY_ID` + `AWS_SECRET_ACCESS_KEY`)\n 2. SSO token cache\n 3. Web identity token credentials\n 4. Shared credentials and config files\n 5. ECS or EC2 metadata credentials\n\n Region is resolved from `AWS_REGION`, `AWS_DEFAULT_REGION`, the `amazon-bedrock` provider `baseUrl`, or defaults to `us-east-1`.\n\n **IAM permissions:** the IAM role or user needs:\n\n ```json\n {\n \"Effect\": \"Allow\",\n \"Action\": \"bedrock:InvokeModel\",\n \"Resource\": \"*\"\n }\n ```\n\n For least-privilege, scope `InvokeModel` to the specific model:\n\n ```\n arn:aws:bedrock:*::foundation-model/amazon.titan-embed-text-v2:0\n ```\n\n \n \n | Key | Type | Default | Description |\n | --------------------- | ------------------ | ---------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n | `local.modelPath` | `string` | auto-downloaded | Path to GGUF model file |\n | `local.modelCacheDir` | `string` | node-llama-cpp default | Cache dir for downloaded models |\n | `local.contextSize` | `number \\| \"auto\"` | `4096` | Context window size for the embedding context. 4096 covers typical chunks (128β512 tokens) while bounding non-weight VRAM. Lower to 1024β2048 on constrained hosts. `\"auto\"` uses the model's trained maximum β not recommended for 8B+ models (Qwen3-Embedding-8B: 40 960 tokens β ~32 GB VRAM vs ~8.8 GB at 4096). |\n\n Default model: `embeddinggemma-300m-qat-Q8_0.gguf` (~0.6 GB, auto-downloaded). Source checkouts still require native build approval: `pnpm approve-builds` then `pnpm rebuild node-llama-cpp`.\n\n Use the standalone CLI to verify the same provider path the Gateway uses:\n\n ```bash\n openclaw memory status --deep --agent main\n openclaw memory index --force --agent main\n ```\n\n If `provider` is `auto`, `local` is selected only when `local.modelPath` points to an existing local file. `hf:` and HTTP(S) model references can still be used explicitly with `provider: \"local\"`, but they do not make `auto` select local before the model is available on disk.\n\n\n[332 more lines in file. Use offset=300 to continue.]"}],"isError":false,"timestamp":1777851753077}}
{"type":"message","id":"dd148289","parentId":"597a3e1c","timestamp":"2026-05-03T23:42:58.345Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_00a3ea27180420c50169f7dd6a0e948197b9ca7832d3a99fdf\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp991uE2w6YcLeQtnHBcv7jaAliLU4msMWihQ0iyid9Q_9BuSAb9zBP8SC9QI3XEj_vrk-fJRzx45qp2jaVPXq58_ZclXDeZJ7_6jwzr__WSuiQ6xMiKiJaQR1wNoNe543eJhyVIEaUVoNE0-PDz81ugpe7qZ6r74GTVqoBHz3PeRBeHQKJFwTaOVkKPyKyFwso2xkXhZ4DAtUm_5tA_oTPYl5GUGBkfpaFcT8WSuUbCNUoG_OXp-Wl-F4P6mmvm5-GuOxwkzR0zfgAaTJz_J1l3jlMVpcBdDVjy8LJnMh0GTvCU9v8Iu-uuR6_HynrkUovwd0HOTzHHsWDgtcWY42xqy7lKxm_yfcS1SPub_Dt_7Os25nPRfaRFlBlLX7UTmrHurStaeEvN4wbA3LDPDEamspoDdjsCQbV9hN1D8NmnnHQxrNK5zoY8utOyRc_80ozmWuJT5iyHi7pyVpmCC16-A3i5l1AFY3gX5umjz5uOUmdjWQ78Jg_hB7gtm6fNyw_QX2a37BIN4B2HoWNC611A5t9oYFpdP19Xl7l7FETog22b-HOnYxpUt9j9kqacL_UcjHiznZZJ1hc30avuq5DAWnRuqrgJsMToxWnFLWy1NwdbuMe9h-YSQxefRzzGU3y187vAont91MvVJYCY5pcZkm-0cIacuhlE7GiXSBAEdlzG5qVQzR44QbwJWsPwov2USlRgi_iGwIvG9P3EP9YP-YPVPpf1wgl62rog7_7jl9s5VUEqcDvRi-QL_sas68s-_P5P_8BJrdD5hyFxeHkL9oybEP9aOiJ5CyU6XgPD9TKeGoq8TBtqYWuyOour1cEaOqIoai8lJwCCKnJuRWMjZthikL6-X0CvSB4BaRIDRbBH1VWGLzCOTtsUA_EBwuPHiXp0BAVU_v7eQDo-rAK1iPGZeK41qgthmscFLIXGK4adBcJIqcLwjf-gBictoOFd8ixKjU1cVz8UG-UHrT1hUg1FCBE7-Rkw6Vpj078w_neywHOqlo8Lme-Qm70676qHe9Z5yCkQDt9PGQpO143Rw6T5ZDKk5u1bF4OcuMft4pb0AcSiR4kS31BKdmStf30rUfC_zevSOIzdPkVe0EUwlLaMd0rNJewnJgLjAJd0W8HR9Ou7riU_na7AsS7U_h_cgjSRuNt4bSWOaMV7tXsM5T3HWsxs6llN-BXbSYqmPU-S0RUx1qr9d6UEvLAlo-4dNTwaPaCjZEF8vBHmXlefU-1HBEFrE2vrmudkHIo6j_QEoWUgMRLwdfPL1VumQstGMtOQxfjjRSMoo23Q0GQ8iXeGeSLIGjaAVr8MiY9IMrtqRPZTT1auE2o6RF6cMoyMmmU3pC-3_NCHF7_sRg5d4YpELr59rHRUJaIvs8uPI623CZ4ApMWTG95zbYnkHLok-Yjhzy07ke5Hrha8GijrinTZBWOLh0_HDQW6z__wopv-BX_-DJxgUhefcHC9e1TDP6uzKdYL0pFx7Mgsx9aW-Xfq-kVL_mO2uXVbpAqdLsUgQ93Y2aCO0NSdrgAuLfYhPXDobnQCKNZ5tTY-usKXuJjyko1bwNT6Q4cnVZdJqypcGp31rK8fnaCnIrRlWx4us8yciqu1o8JPZeALnBJotAz3pvmfhkvMLIHNMVl1ipuUPhgmUOjZUdpIkdEf7aBEbPmOwKkZI7FoFYkto21eJVzOouNzBhc7UNWRKh7dzSllJxnFEWrpM-EJjygOLEs-K7RCbRKdxFXf1Y6YmzbD2nJYDRpcq3rtkqsxePOdaAVZ1GdJm4G-wN8yDYJJ5gC2EvGsy0z0Ope40RcaEOzzHnbBnd9WmtuIdwBHfN3IK3UH03rnOIx56n_b_xJqykBVwdykqdrWLPrDRmTfYHlxBTsmSeY-FIuMwGGUsDGUWiFPWzL1EFWuVLPjubB9oCsfQFpQC1AS4gXmvyw_ZC-gTNoWPfq4z4jVBINVbvxb6AyULzO9MDXm0lKW7i4LunIAwVy-Y6wmDhiVBU6uY2AbYd86WipQm6WgvZCm5_ehSrlu0e0Cy8cIPcosRIc9QNe5Rv6gx_O8ye2bekLvalP4gi_tLMVwfy1p7QtmCd_IjdcKeX4hbUyotxdmvF7a1SwcxeVkrvilSbNxSX_wcDl2nnAJdIjX2fE4z-seGxxVLlO6xRygDVkaUveRIcM5nMSFTe-cUveqAck4ghRn1kz_JM39yad9vzxApRmxXFUOZHUKe_MadzAGL2RkwzWzQkFfe9EzvP7HLDQphFSq4F8okERJnxdHBRAzchSKhvqkgAeMEcB949Ai97Lfy383XAlc47moL6pMZTTKvhVHVD1jSOirWToVPvDJWz3oukpowXE_TEAVfcm73KhK_gHr9rkq5htSIfl0fkQp25A9AtYAHlj8H8S68yV1SW5q6KJZl8iwmc7h4p80mlItjfXQKeqAGRP2BhvEnvxqvPrIwicdAKHw==\",\"summary\":[]}"},{"type":"toolCall","id":"call_gZOw2rrKWZgUOMmPX0asLknR|fc_00a3ea27180420c50169f7dd6ebe3c81978844c05e26769468","name":"exec","arguments":{"command":"python3 - <<'PY'\nfrom pathlib import Path\nfrom datetime import datetime\nimport shutil\nroot=Path('/home/rurouni')\nts=datetime.now().strftime('%Y%m%d-%H%M%S')\nbak=root/'backups'/f'memory-cleanup-{ts}'\nbak.mkdir(parents=True, exist_ok=True)\n# backup active memory markdown\nfor p in [root/'MEMORY.md', root/'memory'/'2026-05-02.md', root/'memory'/'2026-05-03.md']:\n if p.exists(): shutil.copy2(p, bak/p.name)\n# move tiny session summary md files out of indexed root, preserving content\narchive=root/'memory'/'archive'/'session-summaries'\narchive.mkdir(parents=True, exist_ok=True)\nfor name in ['2026-05-03-1613.md','2026-05-03-1635.md','2026-05-03-model-check.md']:\n p=root/'memory'/name\n if p.exists():\n target=archive/(p.stem+'.txt')\n if target.exists():\n target=archive/(p.stem+f'-{ts}.txt')\n shutil.move(str(p), str(target))\n# write compact long-term memory\nmemory = '''# MEMORY.md β Ruruni Long-Term Memory\n\nCurated memory for Raymondβs main direct session. Keep this compact: durable facts, preferences, active setup, and standing cautions only. Raw/date-specific details belong in `memory/YYYY-MM-DD.md`; low-value session fragments belong in `memory/archive/*.txt`.\n\n## Raymond / Style\n\n- Raymond; Pacific time. Assistant name: **Ruruni** π‘οΈ.\n- Tone: casual, direct, warm, witty, technically sharp, privacy-protective, not yappy.\n- Technical help: start with answer/next action, use copy/paste commands, explain simply first, go deeper only when useful.\n- Preferences: safe/reversible actions first, warn before destructive/external/privacy-sensitive changes, preserve Raymondβs natural voice when rewriting.\n- Domains: Linux/Debian/CachyOS, servers, OpenClaw/AI infra, SQL with DB2/IBM i compatibility, warehouse coaching/process/safety, writing, troubleshooting, game dev.\n\n## OpenClaw / Model Stack\n\n- OpenClaw `2026.5.2`; default primary is `openai-codex/gpt-5.5` via ChatGPT Plus OAuth. Do **not** replace unless Raymond asks.\n- Current routing verified 2026-05-03: primary `openai-codex/gpt-5.5`; fallbacks include `deepseek/deepseek-v4-pro`, `openrouter/minimax/minimax-m2.7`, and `local-qwen/qwen3.5-9b`.\n- Cost caution: `deepseek/deepseek-v4-pro` is first fallback and can be used if GPT-5.5 is unavailable; confirm with Raymond before changing fallback order or removing it.\n- Local alias: `local` β `local-qwen/qwen3.5-9b`; `MiniMax` β `openrouter/minimax/minimax-m2.7`.\n- Heartbeat and sub-agent defaults use `local-qwen/qwen3.5-9b`.\n- OpenClaw context tuning: `agents.defaults.contextTokens: 128000`; compaction reserve `reserveTokensFloor: 24000`; `maxActiveTranscriptBytes: 1000000`; `memoryFlush.softThresholdTokens: 60000`.\n- Raymond intentionally keeps OpenClaw LAN-bound behind OPNsense; do not βfixβ LAN bind/firewall posture without asking.\n\n## Local LLM Host\n\n- Local service: systemd `llama-local`, endpoint `http://127.0.0.1:8081/v1`.\n- Model: Qwen3.5-9B Q5_K_M GGUF at `/home/rurouni/models/qwen3.5-9b/Qwen3.5-9B-Q5_K_M.gguf`.\n- Service command: `/usr/local/bin/llama-server -m /home/rurouni/models/qwen3.5-9b/Qwen3.5-9B-Q5_K_M.gguf -c 65536 -ngl 99 -fa on -t 28 -b 2048 -ub 2048 -ctk q8_0 -ctv q8_0 --host 127.0.0.1 --port 8081 --parallel 1 --cont-batching --cache-reuse 256`.\n- Verified 2026-05-03: `/v1/models` returns `Qwen3.5-9B-Q5_K_M.gguf`; logs show `n_ctx_slot = 65536`; throughput around 825 prompt tok/s and 37 generation tok/s on a ~9.9k token request.\n- GPU: GTX 1080 Ti 11GB; with Qwen3.5-9B 65k context loaded, VRAM observed around 9.0GB used / 2.1GB free. This is tight but workable for one local chat slot plus a small embedder.\n- Old Qwen3.5-4B was removed from config and moved to `/archive/models/old-qwen/Qwen3.5-4B-Q8_0.gguf`; do not re-add unless Raymond asks.\n\n## Memory / Embeddings\n\n- Memory search currently works via FTS/builtin text; embeddings unavailable until an embedding provider is configured.\n- `openclaw memory status --deep` on 2026-05-03 showed provider `none`, embeddings unavailable, FTS ready, and no OpenAI/Gemini/Voyage/Mistral/DeepInfra/Bedrock credentials configured for embeddings.\n- Codex OAuth does **not** satisfy OpenAI embedding requests; direct `OPENAI_API_KEY` or another embedding provider is needed for hosted embeddings.\n- Best local embedder direction for this GPU: OpenClaw `memorySearch.provider: \"local\"` with a small GGUF embedder such as default `embeddinggemma-300m-qat-Q8_0.gguf` and `local.contextSize` around 2048β4096. Avoid large 8B embedding models on the 1080 Ti while the 9B chat model is loaded.\n- Memory hygiene: keep active indexed markdown small. Active files should usually be `MEMORY.md`, `memory/2026-05-02.md`, and current daily notes only; archive raw/session fragments as `.txt`.\n\n## System / Storage\n\n- Storage layout: root/home on NVMe; `/backup` HDD; `/archive` HDD cold storage; `/models` Samsung SSD; `/data` RAID0 Intel SSDs; `/dev/shm/ai-hot` 16G tmpfs.\n- Backup path: `/home/rurouni/backups` symlinks to `/backup/rurouni/openclaw-backups`.\n- AI storage env: HF/cache under `/data/cache/hf`; temp under `/data/tmp`; persisted in environment/profile/service config.\n- Sudo/password: do not store Raymondβs sudo password. Prefer narrow sudoers allowlists for specific commands; `sudo -n true` may fail even when specific commands are allowlisted.\n'''\n(root/'MEMORY.md').write_text(memory)\n# append daily note\ndaily=root/'memory'/'2026-05-03.md'\nwith daily.open('a') as f:\n f.write(f\"\\n## Memory/model audit at {datetime.now().strftime('%H:%M')} PDT\\n\\n\")\n f.write(f\"- Backed up active memory files to `{bak}`.\\n\")\n f.write(\"- Compressed `MEMORY.md` and moved stray session-summary markdown files from active `memory/` root into `memory/archive/session-summaries/*.txt`.\\n\")\n f.write(\"- Verified local Qwen3.5-9B service healthy on `127.0.0.1:8081`; GTX 1080 Ti showed ~9.0GB used / ~2.1GB free with 65k context.\\n\")\n f.write(\"- `openclaw memory status --deep` showed FTS ready but embeddings unavailable. Local small GGUF embedder is the safest fit; avoid large 8B embedders while 9B chat model is resident.\\n\")\nprint(bak)\nPY\nfind /home/rurouni/memory -maxdepth 2 -type f -printf '%p\\t%s bytes\\n' | sort\nwc -c /home/rurouni/MEMORY.md /home/rurouni/memory/*.md 2>/dev/null","workdir":"/home/rurouni","yieldMs":10000,"timeout":60}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":1284,"output":2206,"cacheRead":39936,"cacheWrite":0,"totalTokens":43426,"cost":{"input":0.00642,"output":0.06618,"cacheRead":0.019968,"cacheWrite":0,"total":0.092568}},"stopReason":"toolUse","timestamp":1777851753083,"responseId":"resp_00a3ea27180420c50169f7dd69609c819794e13e2925b10dd6"}}
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{"type":"message","id":"0a252962","parentId":"664a58f5","timestamp":"2026-05-03T23:43:01.851Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_00a3ea27180420c50169f7dd8393148197bd73f842196b90b6\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp992EwishcYL_ZLtOuFZ1ryOrKwJO8TpC7xKSf3GXFDY1Sk_zvaRRdaZP6ufzJzgJ_ETtQgTxmeKr6GsIAMmdwkquMTSsruB1ZA7I-Ka8nbZcWqMlGLg3ALhCuVLdQSki3s9vhMWOS0cU6dygY_b6vRbjSaAdWkz1MAj-VYihg-ZkTzfpJCuxWQMzrbX3cCfdXVFzASMfJUUxuNSz5HfcwUw7DLRVIZvLmE8T8HzHlSCHQTOBqZ4mSgISEjmYcNrajn7qtBf8ED9dbemOBQ-YezVfVDUYA8DzlpNGa7Ut5HKvWAljBgTyjB2RRaJf2-HxTi3PsMhLHWg4rFKsoPlhMC8boJDT6MCgFfV2yYwKd2fAFg6z0emaiEyOKto1COFso9VcZCVwf3xFVwAmoMa1_0hidtLp_AfytTQM0Cl5pYGiSrYaowBGGIEsPwgkiLHzc1ILh_Xm-vgCnxt-K8DWhM0LKwzRkcwI2Be_CLUpqNfBgyn0A_e_xdAPtp623uxQ1yJZ_58MpvO7-JtnPkmp-U22njzAgSgRZcsWCrO8le8Lb2XfDOmVwNAu5UlX6vBpI9p3W9uPfGdfIodTlsoV712SIHg1-a9yht8-jsKg3XkFrFBEqBHtAZCHuXxWWS0IuNN9D4dEllO69-swni9AD_rJ0BsPB5qEY4fZ11ISOXbyrBSvNaid5tzSdT-jSLK_mR33qwUxm-kDJLd6mPYnyvnNXWuZBS1zy81hP1qwkTn6FwUlynlaNKNdcqnY5g8LOGSGwMcg7azHywUpx2kk-A48yWR07awASPCxKtpvAdFN0TSUkuIVl6FsLHp8Yjyty7jmSiuydJRl5x28Ue5FzDii36CECOMwK-d3Gxp2iZoPb3oOiA6IVLTa60z_YiunE4hhKBDltD72WZlfiy34G5U2WKiFNAZpVf2o6vtQmY-mJ7r731ce0MPtP-KRD4PS5z9dv0TNKO_46n7O75dZ2A4XO9FFbbn3ejksFSJd4uM6cJDyEU9QHqQ56iLIcEDKKLjP9g-XLEblMvdN7h37XE41JEqbs1z3rxTWm32oVlY8rLU=\",\"summary\":[]}"},{"type":"toolCall","id":"call_t0KsMvYiN09Q3STACz4DATvz|fc_00a3ea27180420c50169f7dd840c7c8197a9f25adb6659cd16","name":"exec","arguments":{"command":"openclaw memory index --force --agent main 2>/dev/null || true\nopenclaw memory status --agent main 2>/dev/null || true\nopenclaw models status 2>/dev/null | sed -E 's/(sk-[A-Za-z0-9_-]{6})[A-Za-z0-9_-]+([A-Za-z0-9_-]{6})/\\1...\\2/g; s/(sk-or-v1-[A-Za-z0-9_-]{6})[A-Za-z0-9_-]+([A-Za-z0-9_-]{6})/\\1...\\2/g' | head -60","workdir":"/home/rurouni","yieldMs":10000,"timeout":120}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":2657,"output":206,"cacheRead":40960,"cacheWrite":0,"totalTokens":43823,"cost":{"input":0.013285000000000002,"output":0.00618,"cacheRead":0.020479999999999998,"cacheWrite":0,"total":0.039945}},"stopReason":"toolUse","timestamp":1777851778444,"responseId":"resp_00a3ea27180420c50169f7dd82d29c81979fc954d7705da314"}}
{"type":"message","id":"043975a5","parentId":"0a252962","timestamp":"2026-05-03T23:43:11.873Z","message":{"role":"toolResult","toolCallId":"call_t0KsMvYiN09Q3STACz4DATvz|fc_00a3ea27180420c50169f7dd840c7c8197a9f25adb6659cd16","toolName":"exec","content":[{"type":"text","text":"Command still running (session tidal-shoal, pid 57613). Use process (list/poll/log/write/kill/clear/remove) for follow-up."}],"details":{"status":"running","sessionId":"tidal-shoal","pid":57613,"startedAt":1777851781860,"cwd":"/home/rurouni","tail":""},"isError":false,"timestamp":1777851791873}}
{"type":"message","id":"ec5855ef","parentId":"043975a5","timestamp":"2026-05-03T23:43:13.352Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_G3fS0osUUcZnOqYatY4V0ZEC|fc_00a3ea27180420c50169f7dd90dda4819790fb21e05a95d324","name":"process","arguments":{"action":"poll","sessionId":"tidal-shoal","timeout":30000,"limit":6000}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":346,"output":36,"cacheRead":43520,"cacheWrite":0,"totalTokens":43902,"cost":{"input":0.0017300000000000002,"output":0.00108,"cacheRead":0.021759999999999998,"cacheWrite":0,"total":0.024569999999999998}},"stopReason":"toolUse","timestamp":1777851791878,"responseId":"resp_00a3ea27180420c50169f7dd903030819784d66fc1d893fe88"}}
{"type":"message","id":"53531dc2","parentId":"ec5855ef","timestamp":"2026-05-03T23:43:42.341Z","message":{"role":"toolResult","toolCallId":"call_G3fS0osUUcZnOqYatY4V0ZEC|fc_00a3ea27180420c50169f7dd90dda4819790fb21e05a95d324","toolName":"process","content":[{"type":"text","text":"Memory index updated (main).\nMemory Search (main)\nProvider: none (requested: auto)\nModel: none\nSources: memory\nIndexed: 3/3 files Β· 9 chunks\nDirty: yes\nStore: ~/.openclaw/memory/main.sqlite\nWorkspace: ~\nDreaming: off\nBy source:\n memory Β· 3/3 files Β· 9 chunks\nVector: unknown\nFTS: ready\nEmbedding cache: enabled (0 entries)\nBatch: disabled (failures 0/2)\nRecall store: 22 entries Β· 0 promoted Β· 22 concept-tagged Β· 0 spaced Β· scripts=22 latin\nRecall path: ~/memory/.dreams/short-term-recall.json\nRecall updated: 2026-05-03T23:41:30.288Z\nDreaming artifacts: diary absent Β· 0 corpus files Β· ingestion state absent\nDream corpus: ~/memory/.dreams/session-corpus\nDream ingestion: ~/memory/.dreams/session-ingestion.json\n\nConfig : ~/.openclaw/openclaw.json\nAgent dir : ~/.openclaw/agents/main/agent\nDefault : openai-codex/gpt-5.5\nFallbacks (3) : deepseek/deepseek-v4-pro, openrouter/minimax/minimax-m2.7, local-qwen/qwen3.5-9b\nImage model : -\nImage fallbacks (0): -\nAliases (2) : MiniMax -> openrouter/minimax/minimax-m2.7, local -> local-qwen/qwen3.5-9b\nConfigured models (4): openrouter/minimax/minimax-m2.7, openai-codex/gpt-5.5, local-qwen/qwen3.5-9b, deepseek/deepseek-v4-pro\n\nAuth overview\nAuth store : ~/.openclaw/agents/main/agent/auth-profiles.json\nShell env : off\nProviders w/ OAuth/tokens (1): openai-codex (1)\n- deepseek effective=profiles:~/.openclaw/agents/main/agent/auth-profiles.json | profiles=1 (oauth=0, token=*** api_key=*** | deepseek:default=sk-8d036...23974ee0\n- local-qwen effective=models.json:l...l | models.json=l...l | source=models.json: ~/.openclaw/agents/main/agent/models.json\n- openai-codex effective=profiles:~/.openclaw/agents/main/agent/auth-profiles.json | profiles=1 (oauth=1, token=*** api_key=*** | openai-codex:tw24fr@gmail.com=OAuth (tw24fr@gmail.com)\n- openrouter effective=env:sk-or-v1...376a2479 | env=sk-or-v1...376a2479 | source=env: OPENROUTER_API_KEY\n- perplexity effective=env:sk-or-v1...376a2479 | env=sk-or-v1...376a2479 | source=env: OPENROUTER_API_KEY\n\nOAuth/token status\n- openai-codex usage: 5h 37% left β±53m Β· Week 79% left β±6d 5h\n - openai-codex:tw24fr@gmail.com (tw24fr@gmail.com) ok expires in 9d\n\nProcess exited with code 0."}],"details":{"status":"completed","sessionId":"tidal-shoal","exitCode":0,"aggregated":"Memory index updated (main).\nMemory Search (main)\nProvider: none (requested: auto)\nModel: none\nSources: memory\nIndexed: 3/3 files Β· 9 chunks\nDirty: yes\nStore: ~/.openclaw/memory/main.sqlite\nWorkspace: ~\nDreaming: off\nBy source:\n memory Β· 3/3 files Β· 9 chunks\nVector: unknown\nFTS: ready\nEmbedding cache: enabled (0 entries)\nBatch: disabled (failures 0/2)\nRecall store: 22 entries Β· 0 promoted Β· 22 concept-tagged Β· 0 spaced Β· scripts=22 latin\nRecall path: ~/memory/.dreams/short-term-recall.json\nRecall updated: 2026-05-03T23:41:30.288Z\nDreaming artifacts: diary absent Β· 0 corpus files Β· ingestion state absent\nDream corpus: ~/memory/.dreams/session-corpus\nDream ingestion: ~/memory/.dreams/session-ingestion.json\n\nConfig : ~/.openclaw/openclaw.json\nAgent dir : ~/.openclaw/agents/main/agent\nDefault : openai-codex/gpt-5.5\nFallbacks (3) : deepseek/deepseek-v4-pro, openrouter/minimax/minimax-m2.7, local-qwen/qwen3.5-9b\nImage model : -\nImage fallbacks (0): -\nAliases (2) : MiniMax -> openrouter/minimax/minimax-m2.7, local -> local-qwen/qwen3.5-9b\nConfigured models (4): openrouter/minimax/minimax-m2.7, openai-codex/gpt-5.5, local-qwen/qwen3.5-9b, deepseek/deepseek-v4-pro\n\nAuth overview\nAuth store : ~/.openclaw/agents/main/agent/auth-profiles.json\nShell env : off\nProviders w/ OAuth/tokens (1): openai-codex (1)\n- deepseek effective=profiles:~/.openclaw/agents/main/agent/auth-profiles.json | profiles=1 (oauth=0, token=0, api_key=1) | deepseek:default=sk-8d036...23974ee0\n- local-qwen effective=models.json:l...l | models.json=l...l | source=models.json: ~/.openclaw/agents/main/agent/models.json\n- openai-codex effective=profiles:~/.openclaw/agents/main/agent/auth-profiles.json | profiles=1 (oauth=1, token=0, api_key=0) | openai-codex:tw24fr@gmail.com=OAuth (tw24fr@gmail.com)\n- openrouter effective=env:sk-or-v1...376a2479 | env=sk-or-v1...376a2479 | source=env: OPENROUTER_API_KEY\n- perplexity effective=env:sk-or-v1...376a2479 | env=sk-or-v1...376a2479 | source=env: OPENROUTER_API_KEY\n\nOAuth/token status\n- openai-codex usage: 5h 37% left β±53m Β· Week 79% left β±6d 5h\n - openai-codex:tw24fr@gmail.com (tw24fr@gmail.com) ok expires in 9d\n","name":"openclaw memory"},"isError":false,"timestamp":1777851822341}}
{"type":"message","id":"3e6bb995","parentId":"53531dc2","timestamp":"2026-05-03T23:43:45.747Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_00a3ea27180420c50169f7ddb0b38881978cfa705638b6a762\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp992xvS-7hMh8uF93kZAb2Hy05jwF-7qXbrU9vF45u4X1KAP-Okx3MNVVSDQrC2AGwCSwE-MV67ltd3vZe9NOyaf6MMhtHBqBijEy8CEAaOCl9MH7DkDiExEsrvqdu5WSE5B5TnJL5bIPu00FlZs2mx7VhcY0h5dip_NJ7uqbjQIKmdoqGGZr2mKzqdiuhIaDC2wgb4E-RfXzyvGlrZn95E8Flq8rX8GWG_JDTIQcXVpuNFag8eWOYGm5OCQlu0sZDSDO4OXx_rbdeqZ4H9JEuohN17-ixqc3_tMLe-2172QSv-KlUvYG6UTnEVIoasf02MLSMjbSFK2tmuIxN3ckdp9LQoncsrcA_x-lqKJe18Nxm2AIDFCRmUTolWY2LrM8uRZNoK6NINbQMz92EzYETff91PoG6WJCgeQvxNaJX90GQUMYbH3sbPJk1CAE5-434ZS58ddynBYPWhC7VJnrK0n6-ZnxUe4wlKuAM1NtHoe9bBFAae37Z1Hwcm1shiPOoZBAFm-lnGAqYCz5-KG0Uc8_8u9n5aMMLc6prAPlxX4Hh0L5f_AQGmG15SAuC0D1gUcizJ4IDo4LnwH0jSbbK4NMPhJQvMxcTHiFvVOEvecP8uKyePJz5bboIcDcXSLJsfWL7YJugNV184tbnmONbv7ZjPfIiugEqY_P8AyJTpoxEs2NVfxmZJaUlUK0CMPTjvDs7APFUR0Zb7OtxX3MBiMUdVe33bA_pOTK-G1bv9mDNJkQJZP18wpQHo8YutSVU49te0gsg519zNI16DUhg9WyAA9J6Vg2KLLs_ZqqXPageUGsC4L5G2eVzulWeFK9mJM0cSkLZw4tC5lK1ImDkEaZzPTjGzlv9T-UcbrY3JujOq_hdJTfcapz4806D5_iMolXbnoKUOuAeX-DFYgE4diRv8kqeqbOGOvjGR41KB5LENRv8tuwgrYEtWuVBNYktKTkWl--NJCnX8IgxdwnAp_Y2nWEOcEbSlwiSPHRQP1kfBXatzWp6nBAUe2a8XctEAC-f27Tgh7XXoqXz_oNFlY_vA==\",\"summary\":[]}"},{"type":"toolCall","id":"call_1BnmK7SocDKsdZtBUwZMlv83|fc_00a3ea27180420c50169f7ddb129a4819798a4edaad1675969","name":"memory_search","arguments":{"query":"Qwen3.5 9B embedder GPU VRAM local embedding recommendation","maxResults":5,"corpus":"memory"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":1124,"output":68,"cacheRead":43520,"cacheWrite":0,"totalTokens":44712,"cost":{"input":0.005620000000000001,"output":0.00204,"cacheRead":0.021759999999999998,"cacheWrite":0,"total":0.029419999999999998}},"stopReason":"toolUse","timestamp":1777851822346,"responseId":"resp_00a3ea27180420c50169f7ddafe5ac81978974325c517cb06c"}}
{"type":"message","id":"ace80974","parentId":"3e6bb995","timestamp":"2026-05-03T23:43:46.193Z","message":{"role":"toolResult","toolCallId":"call_1BnmK7SocDKsdZtBUwZMlv83|fc_00a3ea27180420c50169f7ddb129a4819798a4edaad1675969","toolName":"memory_search","content":[{"type":"text","text":"{\n \"results\": [\n {\n \"id\": \"5b8230bb552d64bc924f08f02960f171a8d196db37b76d970ea2b4958e200618\",\n \"path\": \"MEMORY.md\",\n \"startLine\": 17,\n \"endLine\": 31,\n \"score\": 1,\n \"textScore\": 0.4847888223402887,\n \"snippet\": \"- Cost caution: `deepseek/deepseek-v4-pro` is first fallback and can be used if GPT-5.5 is unavailable; confirm with Raymond before changing fallback order or removing it.\\n- Local alias: `local` β `local-qwen/qwen3.5-9b`; `MiniMax` β `openrouter/minimax/minimax-m2.7`.\\n- Heartbeat and sub-agent defaults use `local-qwen/qwen3.5-9b`.\\n- OpenClaw context tuning: `agents.defaults.contextTokens: 128000`; compaction reserve `reserveTokensFloor: 24000`; `maxActiveTranscriptBytes: 1000000`; `memoryFlush.softThresholdTokens: 60000`.\\n- Raymond intentionally keeps OpenClaw LAN-bound behind OPNsense; do not βfixβ LAN bind/firewall posture without asking.\\n\\n## Local LLM Host\\n\\n- Local service: systemd `llama\\n\\nSource: MEMORY.md#L17-L31\",\n \"source\": \"memory\",\n \"citation\": \"MEMORY.md#L17-L31\",\n \"corpus\": \"memory\"\n },\n {\n \"id\": \"1bca6a281cb11de3c36ac3f6b8e00b9abaf84cdc6d74514a50462b2fbe082791\",\n \"path\": \"MEMORY.md\",\n \"startLine\": 29,\n \"endLine\": 43,\n \"score\": 1,\n \"textScore\": 0.4807153048914606,\n \"snippet\": \"- GPU: GTX 1080 Ti 11GB; with Qwen3.5-9B 65k context loaded, VRAM observed around 9.0GB used / 2.1GB free. This is tight but workable for one local chat slot plus a small embedder.\\n- Old Qwen3.5-4B was removed from config and moved to `/archive/models/old-qwen/Qwen3.5-4B-Q8_0.gguf`; do not re-add unless Raymond asks.\\n\\n## Memory / Embeddings\\n\\n- Memory search currently works via FTS/builtin text; embeddings unavailable until an embedding provider is configured.\\n- `openclaw memory status --deep` on 2026-05-03 showed provider `none`, embeddings unavailable, FTS ready, and no OpenAI/Gemini/Voyage/Mistral/DeepInfra/Bedrock credentials configured for embeddings.\\n- Codex OAuth does **not** satisfy O\\n\\nSource: MEMORY.md#L29-L43\",\n \"source\": \"memory\",\n \"citation\": \"MEMORY.md#L29-L43\",\n \"corpus\": \"memory\"\n },\n {\n \"id\": \"360a20315e3c680f280160d4b5d453ea2789cf7506f2d4165586a91c584af5b3\",\n \"path\": \"memory/2026-05-03.md\",\n \"startLine\": 41,\n \"endLine\": 45,\n \"score\": 1,\n \"textScore\": 0.4452208655995973,\n \"snippet\": \"- Backed up active memory files to `/home/rurouni/backups/memory-cleanup-20260503-164258`.\\n- Compressed `MEMORY.md` and moved stray session-summary markdown files from active `memory/` root into `memory/archive/session-summaries/*.txt`.\\n- Verified local Qwen3.5-9B service healthy on `127.0.0.1:8081`; GTX 1080 Ti showed ~9.0GB used / ~2.1GB free with 65k context.\\n- `openclaw memory status --deep` showed FTS ready but embeddings unavailable. Local small GGUF embedder is the safest fit; avoid large 8B embedders while 9B chat model is resident.\\n\\nSource: memory/2026-05-03.md#L41-L45\",\n \"source\": \"memory\",\n \"citation\": \"memory/2026-05-03.md#L41-L45\",\n \"corpus\": \"memory\"\n },\n {\n \"id\": \"da896d85a91ca58ce9a1fa9040981d714800f91a3256fa8480e57f215db6aafd\",\n \"path\": \"memory/2026-05-03.md\",\n \"startLine\": 18,\n \"endLine\": 30,\n \"score\": 0.9956518991244275,\n \"textScore\": 0.36425329772582615,\n \"snippet\": \"- Drive layout verified: root/home on NVMe; `/backup` HDD; `/archive` HDD cold storage; `/models` Samsung SSD; `/data` RAID0 Intel SSDs; `/dev/shm/ai-hot` 16G tmpfs.\\n- AI storage env persisted: HF cache under `/data/cache/hf`, temp under `/data/tmp`; model downloads/final models separated under `/models`.\\n- Raymond intentionally keeps OpenClaw LAN-bound behind OPNsense; do not change LAN bind/firewall posture without asking.\\n\\n## OpenClaw / model stack\\n\\n- Primary model kept unchanged: `openai-codex/gpt-5.5` via ChatGPT Plus OAuth.\\n- Replaced local Qwen3.5-4B with Qwen3.5-9B Q5_K_M GGUF from `unsloth/Qwen3.5-9B-GGUF` at `/home/rurouni/models/qwen3.5-9b/Qwen3.5-9B-Q5_K_M.gguf`.\\n- `llama-local`\\n\\nSource: memory/2026-05-03.md#L18-L30\",\n \"source\": \"memory\",\n \"citation\": \"memory/2026-05-03.md#L18-L30\",\n \"corpus\": \"memory\"\n },\n {\n \"id\": \"304f175d248f7c79ddcd85be0e44864d12a0586cbbe672e843f5cd10e27b7f52\",\n \"path\": \"memory/2026-05-03.md\",\n \"startLine\": 28,\n \"endLine\": 43,\n \"score\": 0.6314833268913783,\n \"textScore\": 0.0000018454098968243143,\n \"snippet\": \"- OpenClaw config now has custom provider `local-qwen/qwen3.5-9b`; fallback chain is `openrouter/minimax/minimax-m2.7` then `local-qwen/qwen3.5-9b`.\\n- OpenRouter is used as built-in provider only; no custom OpenRouter provider entry needed. MiniMax M2.7 connectivity verified through OpenRouter model list.\\n- Schema-correct local settings: `agents.defaults.heartbeat.model = local-qwen/qwen3.5-9b` and `agents.defaults.subagents.model = local-qwen/qwen3.5-9b`.\\n- Removed stale 4B config refs (`llamacpp`, `custom-127-0-0-1-8081`, old aliases) and moved old 4B GGUF to cold storage: `/archive/models/old-qwen/Qwen3.5-4B-Q8_0.gguf`.\\n- Gateway verified running after cleanup; `openclaw models status` sh\\n\\nSource: memory/2026-05-03.md#L28-L43\",\n \"source\": \"memory\",\n \"citation\": \"memory/2026-05-03.md#L28-L43\",\n \"corpus\": \"memory\"\n }\n ],\n \"provider\": \"none\",\n \"citations\": \"auto\",\n \"debug\": {\n \"backend\": \"builtin\",\n \"effectiveMode\": \"n/a\",\n \"searchMs\": 434,\n \"hits\": 5\n }\n}"}],"details":{"results":[{"id":"5b8230bb552d64bc924f08f02960f171a8d196db37b76d970ea2b4958e200618","path":"MEMORY.md","startLine":17,"endLine":31,"score":1,"textScore":0.4847888223402887,"snippet":"- Cost caution: `deepseek/deepseek-v4-pro` is first fallback and can be used if GPT-5.5 is unavailable; confirm with Raymond before changing fallback order or removing it.\n- Local alias: `local` β `local-qwen/qwen3.5-9b`; `MiniMax` β `openrouter/minimax/minimax-m2.7`.\n- Heartbeat and sub-agent defaults use `local-qwen/qwen3.5-9b`.\n- OpenClaw context tuning: `agents.defaults.contextTokens: 128000`; compaction reserve `reserveTokensFloor: 24000`; `maxActiveTranscriptBytes: 1000000`; `memoryFlush.softThresholdTokens: 60000`.\n- Raymond intentionally keeps OpenClaw LAN-bound behind OPNsense; do not βfixβ LAN bind/firewall posture without asking.\n\n## Local LLM Host\n\n- Local service: systemd `llama\n\nSource: MEMORY.md#L17-L31","source":"memory","citation":"MEMORY.md#L17-L31","corpus":"memory"},{"id":"1bca6a281cb11de3c36ac3f6b8e00b9abaf84cdc6d74514a50462b2fbe082791","path":"MEMORY.md","startLine":29,"endLine":43,"score":1,"textScore":0.4807153048914606,"snippet":"- GPU: GTX 1080 Ti 11GB; with Qwen3.5-9B 65k context loaded, VRAM observed around 9.0GB used / 2.1GB free. This is tight but workable for one local chat slot plus a small embedder.\n- Old Qwen3.5-4B was removed from config and moved to `/archive/models/old-qwen/Qwen3.5-4B-Q8_0.gguf`; do not re-add unless Raymond asks.\n\n## Memory / Embeddings\n\n- Memory search currently works via FTS/builtin text; embeddings unavailable until an embedding provider is configured.\n- `openclaw memory status --deep` on 2026-05-03 showed provider `none`, embeddings unavailable, FTS ready, and no OpenAI/Gemini/Voyage/Mistral/DeepInfra/Bedrock credentials configured for embeddings.\n- Codex OAuth does **not** satisfy O\n\nSource: MEMORY.md#L29-L43","source":"memory","citation":"MEMORY.md#L29-L43","corpus":"memory"},{"id":"360a20315e3c680f280160d4b5d453ea2789cf7506f2d4165586a91c584af5b3","path":"memory/2026-05-03.md","startLine":41,"endLine":45,"score":1,"textScore":0.4452208655995973,"snippet":"- Backed up active memory files to `/home/rurouni/backups/memory-cleanup-20260503-164258`.\n- Compressed `MEMORY.md` and moved stray session-summary markdown files from active `memory/` root into `memory/archive/session-summaries/*.txt`.\n- Verified local Qwen3.5-9B service healthy on `127.0.0.1:8081`; GTX 1080 Ti showed ~9.0GB used / ~2.1GB free with 65k context.\n- `openclaw memory status --deep` showed FTS ready but embeddings unavailable. Local small GGUF embedder is the safest fit; avoid large 8B embedders while 9B chat model is resident.\n\nSource: memory/2026-05-03.md#L41-L45","source":"memory","citation":"memory/2026-05-03.md#L41-L45","corpus":"memory"},{"id":"da896d85a91ca58ce9a1fa9040981d714800f91a3256fa8480e57f215db6aafd","path":"memory/2026-05-03.md","startLine":18,"endLine":30,"score":0.9956518991244275,"textScore":0.36425329772582615,"snippet":"- Drive layout verified: root/home on NVMe; `/backup` HDD; `/archive` HDD cold storage; `/models` Samsung SSD; `/data` RAID0 Intel SSDs; `/dev/shm/ai-hot` 16G tmpfs.\n- AI storage env persisted: HF cache under `/data/cache/hf`, temp under `/data/tmp`; model downloads/final models separated under `/models`.\n- Raymond intentionally keeps OpenClaw LAN-bound behind OPNsense; do not change LAN bind/firewall posture without asking.\n\n## OpenClaw / model stack\n\n- Primary model kept unchanged: `openai-codex/gpt-5.5` via ChatGPT Plus OAuth.\n- Replaced local Qwen3.5-4B with Qwen3.5-9B Q5_K_M GGUF from `unsloth/Qwen3.5-9B-GGUF` at `/home/rurouni/models/qwen3.5-9b/Qwen3.5-9B-Q5_K_M.gguf`.\n- `llama-local`\n\nSource: memory/2026-05-03.md#L18-L30","source":"memory","citation":"memory/2026-05-03.md#L18-L30","corpus":"memory"},{"id":"304f175d248f7c79ddcd85be0e44864d12a0586cbbe672e843f5cd10e27b7f52","path":"memory/2026-05-03.md","startLine":28,"endLine":43,"score":0.6314833268913783,"textScore":0.0000018454098968243143,"snippet":"- OpenClaw config now has custom provider `local-qwen/qwen3.5-9b`; fallback chain is `openrouter/minimax/minimax-m2.7` then `local-qwen/qwen3.5-9b`.\n- OpenRouter is used as built-in provider only; no custom OpenRouter provider entry needed. MiniMax M2.7 connectivity verified through OpenRouter model list.\n- Schema-correct local settings: `agents.defaults.heartbeat.model = local-qwen/qwen3.5-9b` and `agents.defaults.subagents.model = local-qwen/qwen3.5-9b`.\n- Removed stale 4B config refs (`llamacpp`, `custom-127-0-0-1-8081`, old aliases) and moved old 4B GGUF to cold storage: `/archive/models/old-qwen/Qwen3.5-4B-Q8_0.gguf`.\n- Gateway verified running after cleanup; `openclaw models status` sh\n\nSource: memory/2026-05-03.md#L28-L43","source":"memory","citation":"memory/2026-05-03.md#L28-L43","corpus":"memory"}],"provider":"none","citations":"auto","debug":{"backend":"builtin","effectiveMode":"n/a","searchMs":434,"hits":5}},"isError":false,"timestamp":1777851826193}}
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{"type":"message","id":"a8624c76","parentId":"23d27f48","timestamp":"2026-05-03T23:43:48.974Z","message":{"role":"toolResult","toolCallId":"call_ky4KR9jwDTdanWVumtvYJ5WT|fc_00a3ea27180420c50169f7ddb400dc8197b213b6fd8ec20135","toolName":"update_plan","content":[],"details":{"status":"updated","plan":[{"step":"Inspect memory files and current config","status":"completed"},{"step":"Assess local model/GPU/embedder fit","status":"completed"},{"step":"Compress and organize memory safely","status":"completed"},{"step":"Verify and summarize recommendations","status":"completed"}]},"isError":false,"timestamp":1777851828973}}
{"type":"message","id":"01521017","parentId":"a8624c76","timestamp":"2026-05-03T23:45:44.754Z","message":{"role":"user","content":[{"type":"text","text":"Continue the OpenClaw runtime event."}],"timestamp":1777851944753}}
{"type":"message","id":"7bf18514","parentId":"01521017","timestamp":"2026-05-03T23:45:54.331Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_00a3ea27180420c50169f7de29c4848197a73ae19d79059f09\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp994s6vCcru0ftfPY7-QacycTYPUvEDCn5kg4GT_p-2jEdennx8wEv312gnb7I8IagcNLfRxoUADbD4mWFrH3ULqEdsCOvZT0gy0FWOLtf71VsIIYfzsqoqsXiLxRep7eCqZPejQEBRkHQ7YDWcLRpV8zCEfARK2LXi1pjVP0iC_Xv6uMns7qI9ExrEchaBJtjCWmzgEXvVTHy8bfwbcpNikig3zHRf_EaaH89G6q6wc7iuLDQekaV5RimilrcSf9gLUMYFTdEOnnB4jByRX0ar6z6FW1kzIMVWNLtHsNnqCytBUNmN5oKcY3259Rghzp9wqUZfccYdEneojiKypmGW7e-7FO1_uUAKzEuNRqG_sMOa5VkOVRvTmHzAWAZcZpWwanHKEwqwKZVwKtXXR-pvGK9U9ucrza3YBiyGrheZlcGacye5hdfNaV70ZC36FsDfjNDqcx1AMjBO1iDwl-YMS2nN9HGSon7Khbyc8zw8JP0PeAV0kurTS8aXx50mFjpvWRrt_ksgNDbzfqfb7sTnUJ3t4sRxRmlZOj6ZpO4GkAFqehKeNsx3pryFPEi6rKxJDmWgPNEDmwqa9GeLxL7OyZlfztTiR2AcEInXjggMJdj9hYHR7Rk2nHMPSxFZHDhRaBNieMG6K3Kp7u2__XMfwlNP4lL-DA1_Z0cST1Eqm_Eanh4_2SYuz7IIDv_QEKczCdgqsUUjn2M9HqcE9xNayQv3sZ0X7SJp1Q-gCBveLCOh4UoVtM8vCv0EoeqpY0pbVnKljbLw6m3o0uhQBfbnipnMSfV8K6Gu6HAJr8jvAC7YLsUn_xzV-fFNiwgsh7mLFTztfgOVpeqZHUPr8hTNab2ZEnVi2Ul9C9isOHeDh9xdhJIsYu9OB3xvT6GT7BBQU5_FHaCcPDFagDui9VFOINW9_4w7XfiM0h6e1h9uJbWlen_FK6AW7bQQvsZpMmK1hL96-EmJu4RRqXZtKnUp1IgFsGfJTOOCS-9eb_aRXnve5EuEJ5SIxqrP7uDAzxBMEXSQRghoD3UdC8uyV5CedVszj0ZKmhThpcuS0qNzQhobCaDXDb9GcFCZP1sfIg3ZPB5GkzX-78sRdOPOtePOgtIFYAu9fC-tM0GVZ4p22SCXiM19og6EIvVP4eQ6caLwjWeOw3TMr8qYEsJ2xk5QjX_gzWFzDHog2yZpIlB7eEY5cyG2GGIhr2_f2vIOdAGswUKFy2lA2ncChGuDDvD0jTsNhHs6OJByaY2Kpw5RmSy5kubypeRtTUiBrT2GB7OPQuvuet9plAlFVEVE9PO7Aps8KR5roBV8P9wzh2iVZXDybxSJxGWHZfSBzSYssNucXxQg6Cpqc1dhAiHxLcuUlucyV2yuEC8_12uN6ZhlpSgM87V3dMdXmJ9K0h3VlaqcDKcRDuJoiYQ9AcO60ry840CoV0RoWmpVG6_dJLnhcFZKeDEhPusLjuWWbJYMUDN4_z-JuxHQp-7A1imPOJGULtvLl36Jz4j7ObH4_uyUUIahalGfvypZoBGpeiW2dRZm4CbggXUiOZcN6ayD36erS6AxmJgI5HOGFxQWTzawseoQoKNbOC48-gqkfGQxRHmBON7n2GSwLoVLIzKv49NQUZo0fbekbruJ3vUwChmt9TP6wnoKIQ6A1rfWcwNHJnGC9DrdNBChPfPl5j6NbibYoibik1A1eYUTr83CCjHEsu41eTi7Knd-6DVgHZo2UK4DVXd-bCgJIpR7MuiPsHUyF5CPgjauOQjUsIyJ4rZbe64mC5-_F9rWYIcigU9NyXYpQlz_xfDRFlHpawfi14ZS4pfZuHRpHehA4cAoqkXichgefhODQLgmZgqgzI1ZYisDFsTE215-GmiKJlyZ1u_tfG5rucTevWn7GwPUfQ6lxdRKtlZ7ne3UoGWyY9AoHlXkyPVnxomj0wK4gkrqZ3vMlywIqWxkEB86ekN6COLWlkqN2Jyzg7_6yotXWM3-Th4qgXbSd4dXlOG4M6pH1rxwzAWWGfXDd8NJP8kjPiP3zc5zs=\",\"summary\":[]}"},{"type":"toolCall","id":"call_c7iY6O5gQD15yjy26991xkgB|fc_00a3ea27180420c50169f7de2c46548197aa2dfb8709aaff7a","name":"write","arguments":{"path":"/home/rurouni/memory/2026-05-03.md","content":"\n## 2026-05-03 Memory/model cleanup request\n\n- Raymond asked to clean/compress/organize memory, verify local OpenClaw model config optimization, and plan for adding an embedder soon.\n- Current findings before compaction: `MEMORY.md` contains some duplicated identity/preference material already covered by `SOUL.md`/`USER.md`; daily memory has tiny session-fragment markdown files (`2026-05-03-model-check.md`, `2026-05-03-1613.md`, `2026-05-03-1635.md`) that should be distilled/archived as `.txt` or otherwise de-indexed after compaction if safe.\n- Config read showed primary `openai-codex/gpt-5.5`; fallbacks currently `deepseek/deepseek-v4-pro`, `openrouter/minimax/minimax-m2.7`, `local-qwen/qwen3.5-9b`. Note: older MEMORY copy incorrectly stated MiniMax first fallback; current config has DeepSeek Pro first.\n- Local Qwen config read: `local-qwen/qwen3.5-9b` at `http://127.0.0.1:8081/v1`, contextWindow 65536, maxTokens 8192, params temp 0.6/top_p 0.95/top_k 20. Service command remembered as Qwen3.5-9B Q5_K_M with 65k ctx, `--parallel 1`, full context per request, VRAM previously ~8.9-9.0GB/11GB.\n- OpenClaw docs checked for embeddings: memorySearch provider can be `local`; local default embedder is `embeddinggemma-300m-qat-Q8_0.gguf` (~0.6GB), `local.contextSize` default 4096; docs warn against large 8B embedding models on constrained GPUs because long context can require huge VRAM. Best likely recommendation for Raymondβs GTX 1080 Ti + 9B chat model is a small local GGUF embedder with contextSize 2048-4096, not a larger 8B embedder, unless chat model is reduced/offloaded.\n"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":21788,"output":672,"cacheRead":0,"cacheWrite":0,"totalTokens":22460,"cost":{"input":0.10894000000000001,"output":0.02016,"cacheRead":0,"cacheWrite":0,"total":0.12910000000000002}},"stopReason":"toolUse","timestamp":1777851944756,"responseId":"resp_00a3ea27180420c50169f7de29082881978741d7b6ae0c8fde"}}
{"type":"message","id":"ab2c7d36","parentId":"7bf18514","timestamp":"2026-05-03T23:45:54.410Z","message":{"role":"toolResult","toolCallId":"call_c7iY6O5gQD15yjy26991xkgB|fc_00a3ea27180420c50169f7de2c46548197aa2dfb8709aaff7a","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":1777851954410}}
{"type":"message","id":"e5c6e39d","parentId":"ab2c7d36","timestamp":"2026-05-03T23:45:56.659Z","message":{"role":"user","content":[{"type":"text","text":"no leave it right now its half off till may 31"}],"timestamp":1777851956658}}
{"type":"custom_message","customType":"openclaw.runtime-context","content":"Conversation info (untrusted metadata):\n```json\n{\n \"chat_id\": \"telegram:7229867039\",\n \"message_id\": \"1500\",\n \"sender_id\": \"7229867039\",\n \"sender\": \"Raymond\",\n \"timestamp\": \"Sun 2026-05-03 16:45 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":"6e9a19d2","parentId":"e5c6e39d","timestamp":"2026-05-03T23:45:56.660Z"}
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{"type":"message","id":"6c8fb25d","parentId":"0b91cab9","timestamp":"2026-05-03T23:45:59.836Z","message":{"role":"toolResult","toolCallId":"call_PMu2XkaJLrmuwVwc45FGIFAP|fc_00a3ea27180420c50169f7de36d78881979c632db98ab0eb3d","toolName":"memory_search","content":[{"type":"text","text":"{\n \"results\": [\n {\n \"id\": \"1c5585f3c76cde87410b7123539cf71b02be706667f49a5f6ed4e9e267e2af06\",\n \"path\": \"MEMORY.md\",\n \"startLine\": 1,\n \"endLine\": 19,\n \"score\": 1,\n \"textScore\": 0.37964106860589836,\n \"snippet\": \"# MEMORY.md β Ruruni Long-Term Memory\\n\\nCurated memory for Raymondβs main direct session. Keep this compact: durable facts, preferences, active setup, and standing cautions only. Raw/date-specific details belong in `memory/YYYY-MM-DD.md`; low-value session fragments belong in `memory/archive/*.txt`.\\n\\n## Raymond / Style\\n\\n- Raymond; Pacific time. Assistant name: **Ruruni** π‘οΈ.\\n- Tone: casual, direct, warm, witty, technically sharp, privacy-protective, not yappy.\\n- Technical help: start with answer/next action, use copy/paste commands, explain simply first, go deeper only when useful.\\n- Preferences: safe/reversible actions first, warn before destructive/external/privacy-sensitive changes, prese\\n\\nSource: MEMORY.md#L1-L19\",\n \"source\": \"memory\",\n \"citation\": \"MEMORY.md#L1-L19\",\n \"corpus\": \"memory\"\n },\n {\n \"id\": \"5b8230bb552d64bc924f08f02960f171a8d196db37b76d970ea2b4958e200618\",\n \"path\": \"MEMORY.md\",\n \"startLine\": 17,\n \"endLine\": 31,\n \"score\": 1,\n \"textScore\": 0.5211736599214911,\n \"snippet\": \"- Cost caution: `deepseek/deepseek-v4-pro` is first fallback and can be used if GPT-5.5 is unavailable; confirm with Raymond before changing fallback order or removing it.\\n- Local alias: `local` β `local-qwen/qwen3.5-9b`; `MiniMax` β `openrouter/minimax/minimax-m2.7`.\\n- Heartbeat and sub-agent defaults use `local-qwen/qwen3.5-9b`.\\n- OpenClaw context tuning: `agents.defaults.contextTokens: 128000`; compaction reserve `reserveTokensFloor: 24000`; `maxActiveTranscriptBytes: 1000000`; `memoryFlush.softThresholdTokens: 60000`.\\n- Raymond intentionally keeps OpenClaw LAN-bound behind OPNsense; do not βfixβ LAN bind/firewall posture without asking.\\n\\n## Local LLM Host\\n\\n- Local service: systemd `llama\\n\\nSource: MEMORY.md#L17-L31\",\n \"source\": \"memory\",\n \"citation\": \"MEMORY.md#L17-L31\",\n \"corpus\": \"memory\"\n },\n {\n \"id\": \"3434498b0065f4f2b3b0b1a761b0f8a8deb0b1c8aca34fd6909bd2448e5f5542\",\n \"path\": \"memory/2026-05-03.md\",\n \"startLine\": 1,\n \"endLine\": 23,\n \"score\": 1,\n \"textScore\": 0.64957180686366,\n \"snippet\": \"# 2026-05-03 Daily Notes\\n\\n## Identity / preferences\\n\\n- Raymond confirmed assistant identity as **Ruruni** π‘οΈ: calm digital ronin, terminal homie, technical familiar, loyal second brain.\\n- Durable identity and preferences live in `/home/rurouni/MEMORY.md`, `/home/rurouni/SOUL.md`, `/home/rurouni/IDENTITY.md`, and `/home/rurouni/USER.md`.\\n\\n## Context / memory cleanup\\n\\n- Raymond reported OpenClaw/GPT-5 compacting too often. Updated config to `agents.defaults.contextTokens: 128000`; compaction `reserveTokensFloor: 24000`; `maxActiveTranscriptBytes: 1000000`; `memoryFlush.softThresholdTokens: 60000`.\\n- Context tuning backup: `/home/rurouni/backups/context-memory-20260503-012153`.\\n- Memory search\\n\\nSource: memory/2026-05-03.md#L1-L23\",\n \"source\": \"memory\",\n \"citation\": \"memory/2026-05-03.md#L1-L23\",\n \"corpus\": \"memory\"\n },\n {\n \"id\": \"8c783d064fcb4193c13925ed879e4b85f99681438e295de9ebd6e2f765483f8c\",\n \"path\": \"memory/2026-05-03.md\",\n \"startLine\": 41,\n \"endLine\": 50,\n \"score\": 0.9978589994054331,\n \"textScore\": 0.36650764805408176,\n \"snippet\": \"- Backed up active memory files to `/home/rurouni/backups/memory-cleanup-20260503-164258`.\\n- Compressed `MEMORY.md` and moved stray session-summary markdown files from active `memory/` root into `memory/archive/session-summaries/*.txt`.\\n- Verified local Qwen3.5-9B service healthy on `127.0.0.1:8081`; GTX 1080 Ti showed ~9.0GB used / ~2.1GB free with 65k context.\\n- `openclaw memory status --deep` showed FTS ready but embeddings unavailable. Local small GGUF embedder is the safest fit; avoid large 8B embedders while 9B chat model is resident.\\n\\n## 2026-05-03 Memory/model cleanup request\\n\\n- Raymond asked to clean/compress/organize memory, verify local OpenClaw model config optimization, and plan\\n\\nSource: memory/2026-05-03.md#L41-L50\",\n \"source\": \"memory\",\n \"citation\": \"memory/2026-05-03.md#L41-L50\",\n \"corpus\": \"memory\"\n },\n {\n \"id\": \"384a2bbaaaeb38c8784050deb2aeecbb5f5da8c0c9bbe2f8a79308c3b08d0bbb\",\n \"path\": \"memory/2026-05-03.md\",\n \"startLine\": 49,\n \"endLine\": 53,\n \"score\": 0.993159419601771,\n \"textScore\": 0.3618935968169608,\n \"snippet\": \"- Current findings before compaction: `MEMORY.md` contains some duplicated identity/preference material already covered by `SOUL.md`/`USER.md`; daily memory has tiny session-fragment markdown files (`2026-05-03-model-check.md`, `2026-05-03-1613.md`, `2026-05-03-1635.md`) that should be distilled/archived as `.txt` or otherwise de-indexed after compaction if safe.\\n- Config read showed primary `openai-codex/gpt-5.5`; fallbacks currently `deepseek/deepseek-v4-pro`, `openrouter/minimax/minimax-m2.7`, `local-qwen/qwen3.5-9b`. Note: older MEMORY copy incorrectly stated MiniMax first fallback; current config has DeepSeek Pro first.\\n- Local Qwen config read: `local-qwen/qwen3.5-9b` at `http://127.0.\\n\\nSource: memory/2026-05-03.md#L49-L53\",\n \"source\": \"memory\",\n \"citation\": \"memory/2026-05-03.md#L49-L53\",\n \"corpus\": \"memory\"\n }\n ],\n \"provider\": \"none\",\n \"citations\": \"auto\",\n \"debug\": {\n \"backend\": \"builtin\",\n \"effectiveMode\": \"n/a\",\n \"searchMs\": 434,\n \"hits\": 5\n }\n}"}],"details":{"results":[{"id":"1c5585f3c76cde87410b7123539cf71b02be706667f49a5f6ed4e9e267e2af06","path":"MEMORY.md","startLine":1,"endLine":19,"score":1,"textScore":0.37964106860589836,"snippet":"# MEMORY.md β Ruruni Long-Term Memory\n\nCurated memory for Raymondβs main direct session. Keep this compact: durable facts, preferences, active setup, and standing cautions only. Raw/date-specific details belong in `memory/YYYY-MM-DD.md`; low-value session fragments belong in `memory/archive/*.txt`.\n\n## Raymond / Style\n\n- Raymond; Pacific time. Assistant name: **Ruruni** π‘οΈ.\n- Tone: casual, direct, warm, witty, technically sharp, privacy-protective, not yappy.\n- Technical help: start with answer/next action, use copy/paste commands, explain simply first, go deeper only when useful.\n- Preferences: safe/reversible actions first, warn before destructive/external/privacy-sensitive changes, prese\n\nSource: MEMORY.md#L1-L19","source":"memory","citation":"MEMORY.md#L1-L19","corpus":"memory"},{"id":"5b8230bb552d64bc924f08f02960f171a8d196db37b76d970ea2b4958e200618","path":"MEMORY.md","startLine":17,"endLine":31,"score":1,"textScore":0.5211736599214911,"snippet":"- Cost caution: `deepseek/deepseek-v4-pro` is first fallback and can be used if GPT-5.5 is unavailable; confirm with Raymond before changing fallback order or removing it.\n- Local alias: `local` β `local-qwen/qwen3.5-9b`; `MiniMax` β `openrouter/minimax/minimax-m2.7`.\n- Heartbeat and sub-agent defaults use `local-qwen/qwen3.5-9b`.\n- OpenClaw context tuning: `agents.defaults.contextTokens: 128000`; compaction reserve `reserveTokensFloor: 24000`; `maxActiveTranscriptBytes: 1000000`; `memoryFlush.softThresholdTokens: 60000`.\n- Raymond intentionally keeps OpenClaw LAN-bound behind OPNsense; do not βfixβ LAN bind/firewall posture without asking.\n\n## Local LLM Host\n\n- Local service: systemd `llama\n\nSource: MEMORY.md#L17-L31","source":"memory","citation":"MEMORY.md#L17-L31","corpus":"memory"},{"id":"3434498b0065f4f2b3b0b1a761b0f8a8deb0b1c8aca34fd6909bd2448e5f5542","path":"memory/2026-05-03.md","startLine":1,"endLine":23,"score":1,"textScore":0.64957180686366,"snippet":"# 2026-05-03 Daily Notes\n\n## Identity / preferences\n\n- Raymond confirmed assistant identity as **Ruruni** π‘οΈ: calm digital ronin, terminal homie, technical familiar, loyal second brain.\n- Durable identity and preferences live in `/home/rurouni/MEMORY.md`, `/home/rurouni/SOUL.md`, `/home/rurouni/IDENTITY.md`, and `/home/rurouni/USER.md`.\n\n## Context / memory cleanup\n\n- Raymond reported OpenClaw/GPT-5 compacting too often. Updated config to `agents.defaults.contextTokens: 128000`; compaction `reserveTokensFloor: 24000`; `maxActiveTranscriptBytes: 1000000`; `memoryFlush.softThresholdTokens: 60000`.\n- Context tuning backup: `/home/rurouni/backups/context-memory-20260503-012153`.\n- Memory search\n\nSource: memory/2026-05-03.md#L1-L23","source":"memory","citation":"memory/2026-05-03.md#L1-L23","corpus":"memory"},{"id":"8c783d064fcb4193c13925ed879e4b85f99681438e295de9ebd6e2f765483f8c","path":"memory/2026-05-03.md","startLine":41,"endLine":50,"score":0.9978589994054331,"textScore":0.36650764805408176,"snippet":"- Backed up active memory files to `/home/rurouni/backups/memory-cleanup-20260503-164258`.\n- Compressed `MEMORY.md` and moved stray session-summary markdown files from active `memory/` root into `memory/archive/session-summaries/*.txt`.\n- Verified local Qwen3.5-9B service healthy on `127.0.0.1:8081`; GTX 1080 Ti showed ~9.0GB used / ~2.1GB free with 65k context.\n- `openclaw memory status --deep` showed FTS ready but embeddings unavailable. Local small GGUF embedder is the safest fit; avoid large 8B embedders while 9B chat model is resident.\n\n## 2026-05-03 Memory/model cleanup request\n\n- Raymond asked to clean/compress/organize memory, verify local OpenClaw model config optimization, and plan\n\nSource: memory/2026-05-03.md#L41-L50","source":"memory","citation":"memory/2026-05-03.md#L41-L50","corpus":"memory"},{"id":"384a2bbaaaeb38c8784050deb2aeecbb5f5da8c0c9bbe2f8a79308c3b08d0bbb","path":"memory/2026-05-03.md","startLine":49,"endLine":53,"score":0.993159419601771,"textScore":0.3618935968169608,"snippet":"- Current findings before compaction: `MEMORY.md` contains some duplicated identity/preference material already covered by `SOUL.md`/`USER.md`; daily memory has tiny session-fragment markdown files (`2026-05-03-model-check.md`, `2026-05-03-1613.md`, `2026-05-03-1635.md`) that should be distilled/archived as `.txt` or otherwise de-indexed after compaction if safe.\n- Config read showed primary `openai-codex/gpt-5.5`; fallbacks currently `deepseek/deepseek-v4-pro`, `openrouter/minimax/minimax-m2.7`, `local-qwen/qwen3.5-9b`. Note: older MEMORY copy incorrectly stated MiniMax first fallback; current config has DeepSeek Pro first.\n- Local Qwen config read: `local-qwen/qwen3.5-9b` at `http://127.0.\n\nSource: memory/2026-05-03.md#L49-L53","source":"memory","citation":"memory/2026-05-03.md#L49-L53","corpus":"memory"}],"provider":"none","citations":"auto","debug":{"backend":"builtin","effectiveMode":"n/a","searchMs":434,"hits":5}},"isError":false,"timestamp":1777851959835}}
{"type":"message","id":"01487a89","parentId":"6c8fb25d","timestamp":"2026-05-03T23:46:05.468Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_00a3ea27180420c50169f7de3aeec881979cddb7c7ef618973\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp9947pLU5AxFk3ywNBXvhp09OxiU3H7hebzzAmly-jgXDxes8Lkgp1gKuSM5hBPitUMCbm0gpQxzzIjPNug2Pyb-kJ1D0jCgwWriPIuRwPqxp8vd6ulzOekHQB4WYYyAPfP487Jv3iJEgdLbCieCC0Q6CeYSepVhdlTDQ7zAPDjyF9wYtTsAA6Er0pFVZqxiY9QztEDnrUGE_eLcfBmm-LZtVDTskM9k0L9GVhjj31pFFN1_uNC7gJrmB60YKQWhDKRMwdGx5AIt3yqKsDE-MQBZuSim-dObnniOUbgMa7TQt9HfV81wGn0thRMupwONSagiDX4jUUC9ikKAMtynt85o1QAKm1nikETVtv33hFMqfuOSpBVc8LCRJ80Hvqu75ELHXurSiLjuwsRx9E-ZRV3qFxIrzIZoQKcEVjAH1Ed1NtHbCd5EdfRmgY4pw1M2VPLFYX8JmUxlkA0BLtECZGnvhSOhK3KAzh1GjefrpzTnyhLGz1fEKTYQLV-W3h97k7hMTwgRsQdl0XEVMBQ4OxsbeuBi2kOO_ZK1SiZanbJyq_LzWsd0dRXnVm14zT9sQvyQm90Lls_nB2taNg8eOSN0_dCm9yu4Wsl-LzTa8y2MDjz7WTwxb9vxneET7uue2-X3v4K8EEESiHqpGwtY1zQwGyyNcMgXJCkR2nN1I6jGlb-f3BkvuuaiP1R5TrmrGA43OLMW7ZK2dB91ZC-avbGi3urKxfNT-5ThJdD61a8SiCEWQXqbk9qWElDSK6vCf9PMwu-GUBjkDxE1TJTxTY-wvAJOtF9cAKzqMdSzV8OUN04BBy8Qql_ZZLx2pAxJOzlXjkYDw4h0JAJxQWONih14pICZHi9RF_n-0bw6eEAoXHCEp8CAoyzW99zO-0JgQlsKTfWMtZ7-PyarZf2WiSnG8VzbaQ29M9DE7mbHqA_-W49pUCN0K2D2em0jo-ALf8htv-88NiPissM6cODBds65cy_olSfERLBcV8Ar6jvFcdIS-VUaWIDkvOwd9bNFAzKgLfKGg2ZIkufvvejiEVBSLsnCs_sSh8v88PTYPaWQpU-9gIDnUTNcNmh5DR-dPgRP-\",\"summary\":[]}"},{"type":"toolCall","id":"call_nzr8hBfAFTtOSsqDvda25rsC|fc_00a3ea27180420c50169f7de3b6b9c8197aaaa18ba911be863","name":"exec","arguments":{"command":"cat >> /home/rurouni/memory/2026-05-03.md <<'EOF'\n- Raymond said to leave DeepSeek Pro fallback as-is for now because it is half off until May 31.\nEOF\npython3 - <<'PY'\nfrom pathlib import Path\np=Path('/home/rurouni/MEMORY.md')\ns=p.read_text()\nold='- Cost caution: `deepseek/deepseek-v4-pro` is first fallback and can be used if GPT-5.5 is unavailable; confirm with Raymond before changing fallback order or removing it.'\nnew='- Cost caution: `deepseek/deepseek-v4-pro` is first fallback and Raymond wants it left as-is for now because it is half off until May 31; confirm before changing fallback order/removing it.'\nif old in s:\n p.write_text(s.replace(old,new))\nPY","workdir":"/home/rurouni","yieldMs":10000,"timeout":30}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":2009,"output":263,"cacheRead":46080,"cacheWrite":0,"totalTokens":48352,"cost":{"input":0.010045,"output":0.00789,"cacheRead":0.023039999999999998,"cacheWrite":0,"total":0.040975}},"stopReason":"toolUse","timestamp":1777851959838,"responseId":"resp_00a3ea27180420c50169f7de385d0c8197a7974d6639000c9b"}}
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{"type":"message","id":"d41a26ca","parentId":"e5e5b020","timestamp":"2026-05-03T23:46:07.871Z","message":{"role":"assistant","content":[{"type":"text","text":"Bet β leaving DeepSeek Pro as first fallback. I updated memory so I donβt βoptimizeβ it away before May 31.\n\nYour current stack is fine:\n- GPT-5.5 primary\n- DeepSeek Pro first fallback while discounted\n- MiniMax next\n- Local Qwen last / heartbeat / subagents\n\nNo config changes needed right now. π‘οΈ","textSignature":"{\"v\":1,\"id\":\"msg_00a3ea27180420c50169f7de3e929c8197bc022a8af58baed5\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":749,"output":82,"cacheRead":47616,"cacheWrite":0,"totalTokens":48447,"cost":{"input":0.0037450000000000005,"output":0.00246,"cacheRead":0.023808,"cacheWrite":0,"total":0.030012999999999998}},"stopReason":"stop","timestamp":1777851965540,"responseId":"resp_00a3ea27180420c50169f7de3ddf5c819799f35a213efa2afe"}}