{"type":"session","version":3,"id":"c44e5e25-3ff3-4038-b341-33998195f78a","timestamp":"2026-05-03T22:43:16.261Z","cwd":"/home/rurouni"} {"type":"model_change","id":"6c57e746","parentId":null,"timestamp":"2026-05-03T22:43:16.293Z","provider":"openai-codex","modelId":"gpt-5.5"} {"type":"thinking_level_change","id":"5440c95c","parentId":"6c57e746","timestamp":"2026-05-03T22:43:16.293Z","thinkingLevel":"off"} {"type":"custom","customType":"model-snapshot","data":{"timestamp":1777848196300,"provider":"openai-codex","modelApi":"openai-codex-responses","modelId":"gpt-5.5"},"id":"886a1149","parentId":"5440c95c","timestamp":"2026-05-03T22:43:16.300Z"} {"type":"message","id":"6a3aef49","parentId":"886a1149","timestamp":"2026-05-03T22:43:16.306Z","message":{"role":"user","content":[{"type":"text","text":"You are setting up a multi-model OpenClaw stack im going to give you some dirctions but look at you own json and make sure we are using correct sysntax if in doubt look at the openclaw docs\n- OpenClaw v2026.5.2 already running\n- Primary: openai-codex/gpt-5.5 via ChatGPT Plus OAuth (KEEP, do not change)\n- Fallback: MiniMax M2.7 via OpenRouter (REPLACING direct minimax API with OpenRouter)\n- Local: Qwen3.5-4B on llama-server port 8081 (REPLACING with Qwen3.5-9B)\n\nExecute these steps in order. Stop and report if any step fails.\n\n---\n\n### Step 1: Download Qwen3.5-9B Q5_K_M from Unsloth\n\npip install huggingface-hub --break-system-packages 2>/dev/null\n\nhuggingface-cli download unsloth/Qwen3.5-9B-GGUF \\\n --include \"*Q5_K_M*\" \\\n --local-dir /home/rurouni/models/qwen3.5-9b\n\nList the downloaded files:\n\nls -lh /home/rurouni/models/qwen3.5-9b/*.gguf\n\nReport the exact filename and size. Expected: ~6-7GB single GGUF file.\nIf multiple shards exist (split files), report all filenames.\n\n---\n\n### Step 2: Stop the old llama-server\n\nss -tlnp | grep 8081\n\nIf running, stop it:\n\nsudo systemctl stop llama-local 2>/dev/null\npkill -f \"llama-server.*8081\" 2>/dev/null\n\nSleep 3 seconds. Verify port 8081 is free:\n\nss -tlnp | grep 8081\n\n---\n\n### Step 3: Find the exact GGUF filename\n\nGGUF_FILE=$(find /home/rurouni/models/qwen3.5-9b -name \"*Q5_K_M*.gguf\" | head -1)\necho \"Found: $GGUF_FILE\"\n\nIf empty, try:\n\nls /home/rurouni/models/qwen3.5-9b/*.gguf\n\nReport whatever you find. We need the exact path for the next step.\n\n---\n\n### Step 4: Create systemd service\n\nUsing the GGUF path from Step 3, create /etc/systemd/system/llama-local.service:\n\n[Unit]\nDescription=Qwen3.5-9B Local LLM for OpenClaw\nAfter=network.target\n\n[Service]\nType=simple\nUser=rurouni\nEnvironment=CUDA_VISIBLE_DEVICES=0\nExecStart=/usr/local/bin/llama-server \\\n -m REPLACE_WITH_ACTUAL_GGUF_PATH \\\n -c 65536 \\\n -ngl 99 \\\n -fa on \\\n -t 28 \\\n -b 2048 -ub 2048 \\\n -ctk q8_0 -ctv q8_0 \\\n --host 127.0.0.1 --port 8081 \\\n --parallel 2 --cont-batching \\\n --cache-reuse 256\nRestart=on-failure\nRestartSec=5\nLimitNOFILE=65536\n\n[Install]\nWantedBy=multi-user.target\n\nIMPORTANT: Replace REPLACE_WITH_ACTUAL_GGUF_PATH with the exact path from Step 3.\n\nThen:\n\nsudo systemctl daemon-reload\nsudo systemctl enable llama-local\nsudo systemctl start llama-local\n\nWait 20 seconds for model to load into VRAM, then check:\n\njournalctl -u llama-local --no-pager -n 30\n\nLook for \"model loaded\" or any OOM/error messages. Report what you see.\n\n---\n\n### Step 5: Verify VRAM and model\n\nnvidia-smi\n\nReport VRAM used. Expected: 8-10GB.\n\nIF VRAM > 10.5GB: Stop here and report. We will need to reduce context to 32768 or switch to Q4_K_M.\n\nIF VRAM is OK, test the model:\n\ncurl -s http://127.0.0.1:8081/v1/models | python3 -m json.tool\n\ncurl -s http://127.0.0.1:8081/v1/chat/completions \\\n -H \"Content-Type: application/json\" \\\n -d '{\n \"model\": \"qwen3.5-9b\",\n \"messages\": [{\"role\":\"user\",\"content\":\"Reply with exactly: LOCAL OK\"}],\n \"max_tokens\": 10\n }' | python3 -m json.tool\n\nReport both responses.\n\n---\n\n### Step 6: Set the OpenRouter API key\n\nSet the environment variable so OpenClaw can use it:\n\n# Add to shell profile for persistence\necho 'export OPENROUTER_API_KEY=\"sk-or-…9d90\"' >> ~/.bashrc\n\n# Set it now for the current session\nexport OPENROUTER_API_KEY=\"sk-or-…9d90\"\n\nVerify:\n\necho $OPENROUTER_API_KEY | head -c 20\n\nShould show: sk-or-…fe25\n\n---\n\n### Step 7: Update OpenClaw config\n\nRead current config:\n\ncat ~/.openclaw/openclaw.json\n\nNow update the config. The final ~/.openclaw/openclaw.json should have these key sections.\nUse jq or manual editing — whichever works. Back up first:\n\ncp ~/.openclaw/openclaw.json ~/.openclaw/openclaw.json.bak.$(date +%s)\n\nThe models.providers section needs TWO custom providers:"}],"timestamp":1777848196305}} {"type":"custom_message","customType":"openclaw.runtime-context","content":"Conversation info (untrusted metadata):\n```json\n{\n \"chat_id\": \"telegram:7229867039\",\n \"message_id\": \"1386\",\n \"sender_id\": \"7229867039\",\n \"sender\": \"Raymond\",\n \"timestamp\": \"Sun 2026-05-03 15:43 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":"d1aea85a","parentId":"6a3aef49","timestamp":"2026-05-03T22:43:16.307Z"} {"type":"message","id":"7917ed06","parentId":"d1aea85a","timestamp":"2026-05-03T22:43:21.197Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_031e70393029e1c10169f7cf852ed48196a2fc839dae61cb8e\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp98-IiM140OR8q35KR3zSiacZZffNW-I2wNxrZmG3g7lzzrQKg8Z2xUdI4AXWuJxUKX2t3vpoSb8LV36SoB3pw0gbZWsrubE_dhxZt_eDq3dbCxSuvAfi2hjsHGtnzTzOrnOJpHPEVhDJyjkxMXSH9DfS4xZFi1hFBtl0gPtBK-EtD3RkPXhsFm7nmSMlATyKbs8zvJpKfdmCuTi08O7VcN1v0hiR15KSEjbJj61RnlIrOtO7YbwskpLCLYC9Jm7UP7eZsEQaffcu_CZVq2Kx5oPPHJKPTncmMHo1SVDTZZs7ACQjWlZN1o03TZGPW8yN1rG4FP-P8nsfjZ2gq-6fkTNszEQnLv20RkZV-ObFKg_ddYln76FM0cJQOaAFnkgsIpsnszV2Ie99KdhouKFcW-0oMtw3BsvbkpZATTu7AqJ0G1pjCWy96NxQ3-LlI-zM6DeUQheNRNRPcl1heGiBEOHWn_B2IXiH8kQQ2XB9ylTyCe2SIDZjtCqhNLKKtJdpMjCP6ZyQPdlHgoSSkk53j6pQl3IA0A5hxYB0Jnn8FxUeBCdlee8fIY474dBpyZPpx17XPTFKlZCEbnqupwf2vBAsWQovkWKR0yLe9kAZ4G3dp0P0ETbojTMPeTJjYjGxHykKb-ZIXQknaGvjHFZOFGuEOgNsn8Pq1q8tLk7YbIywLFTdkkjpY7RvMvt_YupWeMtjhRqlw5g2a2YUJQ5zo5vQkf6uizwhyjpES6bgAkE0kal69P4uJC1g7gK-V8F44pj50mKFAsqmK8E0CDWbCUX5T_QnAjLBnQFIWH5lZjrmIRSowZI6p2hrbnQkgBiRiJEeP6fnsdEra89c5iHpUTfT6jP9_xx3bgw75uuYpgvZicauvY6SvUaHurLvO0Xpsdm3Kww5gq97LYwcqZe9hJIzm_4QHmS-9mREVI_ijicVdGToW_AcWDKTubRHeO9-KCOeDxKfcys6BWxYe7SpVk378c8tQY6VWQMXUM2tS0WLpJkZ6Cg7-PxVDa-FJ3NnCLmS-U58rcN1x1WtEn7U_2JAQs7ZtD1DMiOkhleumk6toMiAaKeECCs7iAR7MlWLUtltzWZTJwBt8U75wElP2iWefsqjsg1QOatVmo87JPkU92rFPB42Qr1AS08XmCpNzeD7fy8UKXxSH58a_Q5zQwerfH4oFZH2WKam7bD4VS8cNhWDASkUf013rHKwizRJlghmZrAFX4n2OV3EBIhMaWFaMcQGJX1j-Wl63wX6H2TKiayhrck4yK3Gjqz9094tgIito744SJds3TTS3krCRBLLCgxWzgeMj3gxLZVB8gPpLzcBFDqePZ5E49U4EfFPzq_5gMo0TQGDoj89QYZxsUANWMdF4Oumr60zhk1NcECgq6vvC86psjy12w3t0Drn5DsekqxFRK2ywGXPfX6g24TPOEMu22MXc8MLxJwoQ8dHa8Pm4UJZmPY4R7UjFZPoOjLV_XqFEDoZF-CnLX370__j9mG-vf8aale0YTXcdtKT6bQIxwc6WQy3Q-9_NBqcfn7LycJMOgWYqVEeDBtOr_eaQYquW7mlbD2uXuOJhlQwlI7ojT9wacBRMXBMwtjykaZxt89XpuvfL5VQKepYKbDXcHOUXIWU9_rDOxrXefH5rPS4L9AtmxT5DQedCCfCtydbATzAxLxvbCh7dhoM6iooODcx0y0bHUduHxjP_5Bc2eojrk3q7qLiW2nOsRNrJX6PfTxlSv932AferGh-u42VMQRm96Ayxv3oW_56buEmYdY=\",\"summary\":[]}"},{"type":"text","text":"Bet — I’ll go step by step and stop on the first failure. I’ll also verify OpenClaw config syntax against the local docs before touching config, and I won’t expose the full API key back in chat.","textSignature":"{\"v\":1,\"id\":\"msg_031e70393029e1c10169f7cf8835308196b8e7241f580ee977\",\"phase\":\"commentary\"}"},{"type":"toolCall","id":"call_HodqbGmDC7YzgmgUDIPWQV7A|fc_031e70393029e1c10169f7cf88f0188196b74f8642619614e1","name":"memory_search","arguments":{"query":"OpenClaw multi-model stack OpenRouter MiniMax Qwen llama-server 8081 config providers","maxResults":5,"corpus":"memory"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":3066,"output":239,"cacheRead":11776,"cacheWrite":0,"totalTokens":15081,"cost":{"input":0.015330000000000002,"output":0.00717,"cacheRead":0.005888,"cacheWrite":0,"total":0.028388000000000004}},"stopReason":"toolUse","timestamp":1777848196307,"responseId":"resp_031e70393029e1c10169f7cf848c80819697968102e3dbc52e"}} {"type":"message","id":"cb60f10c","parentId":"7917ed06","timestamp":"2026-05-03T22:43:21.553Z","message":{"role":"toolResult","toolCallId":"call_HodqbGmDC7YzgmgUDIPWQV7A|fc_031e70393029e1c10169f7cf88f0188196b74f8642619614e1","toolName":"memory_search","content":[{"type":"text","text":"{\n \"results\": [\n {\n \"id\": \"489343e280ea1d17bf239763d6e32bbdd482d7d23b31fa86c7a9c3b128c54e83\",\n \"path\": \"MEMORY.md\",\n \"startLine\": 36,\n \"endLine\": 46,\n \"score\": 1,\n \"textScore\": 0.6332417083571366,\n \"snippet\": \"- MiniMax alias: `MiniMax -> openrouter/minimax/minimax-m2.7`. Current blocker: OpenRouter auth key returns HTTP 401 `User not found`; model ID itself exists on OpenRouter with 196608 context. Raymond planned to fix OpenRouter/API account/key.\\n- Memory search is functional via builtin text backend but embeddings are unavailable/provider unset; Raymond said to leave memory search as-is for now.\\n- Raymond intentionally allows LAN-bound OpenClaw behind a tight OPNsense firewall; do not “fix” LAN bind/security warnings without asking.\\n- Backup path: `/home/rurouni/backups` is a compatibility symlink to `/backup/rurouni/openclaw-backups` on the dedicated `/backup` drive.\\n- Storage layout: `/` + `\\n\\nSource: MEMORY.md#L36-L46\",\n \"source\": \"memory\",\n \"citation\": \"MEMORY.md#L36-L46\",\n \"corpus\": \"memory\"\n },\n {\n \"id\": \"e658a3bee77faf6b757d0c53f3ca5f10e36afa9d821375b2cf166293e6243aba\",\n \"path\": \"memory/2026-05-03-memory-summary.md\",\n \"startLine\": 1,\n \"endLine\": 41,\n \"score\": 1,\n \"textScore\": 0.4946108240428512,\n \"snippet\": \"# Session: 2026-05-03 14:25:15 PDT\\n\\n- **Session Key**: agent:main:telegram:direct:7229867039\\n- **Session ID**: dbdf66a0-5003-4a0f-906b-dcd444c9c416\\n- **Source**: telegram\\n\\n## Conversation Summary\\n\\nuser: can you tell me my current models my system specs my setup make it compact and to the point\\nuser: can you tell me whats in our memoery fiels\\nassistant: ## Current Memory Files\\n\\n### **MEMORY.md** (Long-term)\\n- **Ruruni identity**: calm digital ronin, terminal homie, technical familiar, loyal second brain 🗡️\\n- **Raymond**: Pacific Time, casual/witty replies, clean commands, privacy-first\\n- **OpenClaw**: GPT-5.5 default (128k context), MiniMax blocked (401 auth)\\n- **Local model**: Qwen3.5-4B-Q8\\n\\nSource: memory/2026-05-03-memory-summary.md#L1-L41\",\n \"source\": \"memory\",\n \"citation\": \"memory/2026-05-03-memory-summary.md#L1-L41\",\n \"corpus\": \"memory\"\n },\n {\n \"id\": \"913de1d5cf2044136dbcd3c6c1ff1d82675556e5ac2243fbb9580459db19c164\",\n \"path\": \"memory/2026-05-03.md\",\n \"startLine\": 39,\n \"endLine\": 46,\n \"score\": 1,\n \"textScore\": 0.6377217117985795,\n \"snippet\": \"- Noted risk/context items without changing them: no host firewall package/rules detected, SSH/nginx/OpenClaw/llama services listen on LAN, Gateway LAN bind is intentional behind OPNsense, OpenClaw auth rate limiting remains unset by user choice for now, `tools.elevated` enabled for Raymond’s Telegram ID, Docker group grants root-equivalent host capability to the `rurouni` user.\\n- Remaining cleanup candidates: orphan transcript `.jsonl` files reported by `openclaw doctor`, optional OpenClaw auth rate limiting, optional host firewall/OPNsense-aligned rules, optional unattended security updates, optional backup snapshot strategy, and optional `smartmontools`/disk health checks.\\n- Raymond appro\\n\\nSource: memory/2026-05-03.md#L39-L46\",\n \"source\": \"memory\",\n \"citation\": \"memory/2026-05-03.md#L39-L46\",\n \"corpus\": \"memory\"\n },\n {\n \"id\": \"df04eae4ce60903fd7bce7aed2f492204605605b3ec44e2cf30b2dbe6cfa7d8a\",\n \"path\": \"memory/2026-05-03.md\",\n \"startLine\": 50,\n \"endLine\": 58,\n \"score\": 1,\n \"textScore\": 0.38692530233897615,\n \"snippet\": \"- Original llama-server command after CUDA fix: `/usr/local/bin/llama-server --model /models/gguf/Qwen3.5-4B-Q8_0.gguf --port 8081 --host 0.0.0.0 --ctx-size 65536 --n-gpu-layers 99 --batch-size 512 --ubatch-size 512 --threads 16 --parallel 1 --cont-batching --cache-type-k q8_0 --cache-type-v q8_0 --log-file /data/logs/llama/server.log`.\\n- Verified after change: llama log showed `n_ctx = 65536`, `new slot, n_ctx = 65536`, API responded on `127.0.0.1:8081`, GPU used ~6GB/11GB VRAM, and OpenClaw status showed Gateway running.\\n\\n## AI storage layout cleanup\\n\\n- Raymond wanted AI server storage cleaned so models, Hugging Face cache, temp files, logs, and OpenClaw data use `/models` and `/data` safe\\n\\nSource: memory/2026-05-03.md#L50-L58\",\n \"source\": \"memory\",\n \"citation\": \"memory/2026-05-03.md#L50-L58\",\n \"corpus\": \"memory\"\n },\n {\n \"id\": \"88bb577423ae1f04187cd5264c55a16fa9871f54bc74fe0b469f87c3d8f2e759\",\n \"path\": \"memory/2026-05-03.md\",\n \"startLine\": 45,\n \"endLine\": 54,\n \"score\": 1,\n \"textScore\": 0.627302100893781,\n \"snippet\": \"- Raymond asked to diagnose why `local` AI caused a compaction loop and why MiniMax failed with “Something went wrong while processing your request.”\\n- MiniMax issue verified in Gateway logs: `openrouter/minimax/minimax-m2.7` fails with HTTP 401 `User not found`; direct OpenRouter key auth check also returned 401. The model ID exists on OpenRouter with 196608 context, so the problem is the configured OpenRouter API key/account, not MiniMax model availability.\\n- Local compaction-loop root cause verified: llama.cpp was launched with `--ctx-size 32768 --parallel 2`, which split context into 16,384-token slots (`n_ctx_slot = 16384`). OpenClaw tried prompts around 21k-22k tokens, triggering repea\\n\\nSource: memory/2026-05-03.md#L45-L54\",\n \"source\": \"memory\",\n \"citation\": \"memory/2026-05-03.md#L45-L54\",\n \"corpus\": \"memory\"\n }\n ],\n \"provider\": \"none\",\n \"citations\": \"auto\",\n \"debug\": {\n \"backend\": \"builtin\",\n \"effectiveMode\": \"n/a\",\n \"searchMs\": 297,\n \"hits\": 5\n }\n}"}],"details":{"results":[{"id":"489343e280ea1d17bf239763d6e32bbdd482d7d23b31fa86c7a9c3b128c54e83","path":"MEMORY.md","startLine":36,"endLine":46,"score":1,"textScore":0.6332417083571366,"snippet":"- MiniMax alias: `MiniMax -> openrouter/minimax/minimax-m2.7`. Current blocker: OpenRouter auth key returns HTTP 401 `User not found`; model ID itself exists on OpenRouter with 196608 context. Raymond planned to fix OpenRouter/API account/key.\n- Memory search is functional via builtin text backend but embeddings are unavailable/provider unset; Raymond said to leave memory search as-is for now.\n- Raymond intentionally allows LAN-bound OpenClaw behind a tight OPNsense firewall; do not “fix” LAN bind/security warnings without asking.\n- Backup path: `/home/rurouni/backups` is a compatibility symlink to `/backup/rurouni/openclaw-backups` on the dedicated `/backup` drive.\n- Storage layout: `/` + `\n\nSource: MEMORY.md#L36-L46","source":"memory","citation":"MEMORY.md#L36-L46","corpus":"memory"},{"id":"e658a3bee77faf6b757d0c53f3ca5f10e36afa9d821375b2cf166293e6243aba","path":"memory/2026-05-03-memory-summary.md","startLine":1,"endLine":41,"score":1,"textScore":0.4946108240428512,"snippet":"# Session: 2026-05-03 14:25:15 PDT\n\n- **Session Key**: agent:main:telegram:direct:7229867039\n- **Session ID**: dbdf66a0-5003-4a0f-906b-dcd444c9c416\n- **Source**: telegram\n\n## Conversation Summary\n\nuser: can you tell me my current models my system specs my setup make it compact and to the point\nuser: can you tell me whats in our memoery fiels\nassistant: ## Current Memory Files\n\n### **MEMORY.md** (Long-term)\n- **Ruruni identity**: calm digital ronin, terminal homie, technical familiar, loyal second brain 🗡️\n- **Raymond**: Pacific Time, casual/witty replies, clean commands, privacy-first\n- **OpenClaw**: GPT-5.5 default (128k context), MiniMax blocked (401 auth)\n- **Local model**: Qwen3.5-4B-Q8\n\nSource: memory/2026-05-03-memory-summary.md#L1-L41","source":"memory","citation":"memory/2026-05-03-memory-summary.md#L1-L41","corpus":"memory"},{"id":"913de1d5cf2044136dbcd3c6c1ff1d82675556e5ac2243fbb9580459db19c164","path":"memory/2026-05-03.md","startLine":39,"endLine":46,"score":1,"textScore":0.6377217117985795,"snippet":"- Noted risk/context items without changing them: no host firewall package/rules detected, SSH/nginx/OpenClaw/llama services listen on LAN, Gateway LAN bind is intentional behind OPNsense, OpenClaw auth rate limiting remains unset by user choice for now, `tools.elevated` enabled for Raymond’s Telegram ID, Docker group grants root-equivalent host capability to the `rurouni` user.\n- Remaining cleanup candidates: orphan transcript `.jsonl` files reported by `openclaw doctor`, optional OpenClaw auth rate limiting, optional host firewall/OPNsense-aligned rules, optional unattended security updates, optional backup snapshot strategy, and optional `smartmontools`/disk health checks.\n- Raymond appro\n\nSource: memory/2026-05-03.md#L39-L46","source":"memory","citation":"memory/2026-05-03.md#L39-L46","corpus":"memory"},{"id":"df04eae4ce60903fd7bce7aed2f492204605605b3ec44e2cf30b2dbe6cfa7d8a","path":"memory/2026-05-03.md","startLine":50,"endLine":58,"score":1,"textScore":0.38692530233897615,"snippet":"- Original llama-server command after CUDA fix: `/usr/local/bin/llama-server --model /models/gguf/Qwen3.5-4B-Q8_0.gguf --port 8081 --host 0.0.0.0 --ctx-size 65536 --n-gpu-layers 99 --batch-size 512 --ubatch-size 512 --threads 16 --parallel 1 --cont-batching --cache-type-k q8_0 --cache-type-v q8_0 --log-file /data/logs/llama/server.log`.\n- Verified after change: llama log showed `n_ctx = 65536`, `new slot, n_ctx = 65536`, API responded on `127.0.0.1:8081`, GPU used ~6GB/11GB VRAM, and OpenClaw status showed Gateway running.\n\n## AI storage layout cleanup\n\n- Raymond wanted AI server storage cleaned so models, Hugging Face cache, temp files, logs, and OpenClaw data use `/models` and `/data` safe\n\nSource: memory/2026-05-03.md#L50-L58","source":"memory","citation":"memory/2026-05-03.md#L50-L58","corpus":"memory"},{"id":"88bb577423ae1f04187cd5264c55a16fa9871f54bc74fe0b469f87c3d8f2e759","path":"memory/2026-05-03.md","startLine":45,"endLine":54,"score":1,"textScore":0.627302100893781,"snippet":"- Raymond asked to diagnose why `local` AI caused a compaction loop and why MiniMax failed with “Something went wrong while processing your request.”\n- MiniMax issue verified in Gateway logs: `openrouter/minimax/minimax-m2.7` fails with HTTP 401 `User not found`; direct OpenRouter key auth check also returned 401. The model ID exists on OpenRouter with 196608 context, so the problem is the configured OpenRouter API key/account, not MiniMax model availability.\n- Local compaction-loop root cause verified: llama.cpp was launched with `--ctx-size 32768 --parallel 2`, which split context into 16,384-token slots (`n_ctx_slot = 16384`). OpenClaw tried prompts around 21k-22k tokens, triggering repea\n\nSource: memory/2026-05-03.md#L45-L54","source":"memory","citation":"memory/2026-05-03.md#L45-L54","corpus":"memory"}],"provider":"none","citations":"auto","debug":{"backend":"builtin","effectiveMode":"n/a","searchMs":297,"hits":5}},"isError":false,"timestamp":1777848201553}} {"type":"message","id":"8a64e509","parentId":"cb60f10c","timestamp":"2026-05-03T22:43:25.198Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_CdPZ8LHuZyJyVWcsc221VK50|fc_031e70393029e1c10169f7cf8a83308196b7a3c1d27d0d7648","name":"exec","arguments":{"command":"set -euo pipefail\npython3 -m pip install huggingface-hub --break-system-packages 2>/dev/null\nhuggingface-cli download unsloth/Qwen3.5-9B-GGUF --include '*Q5_K_M*' --local-dir /home/rurouni/models/qwen3.5-9b\nls -lh /home/rurouni/models/qwen3.5-9b/*.gguf","workdir":"/home/rurouni","yieldMs":30000,"timeout":3600}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":2536,"output":133,"cacheRead":14336,"cacheWrite":0,"totalTokens":17005,"cost":{"input":0.01268,"output":0.0039900000000000005,"cacheRead":0.007168,"cacheWrite":0,"total":0.023838}},"stopReason":"toolUse","timestamp":1777848201555,"responseId":"resp_031e70393029e1c10169f7cf89de6c8196adefc8d056bb26ac"}} {"type":"message","id":"3fc6e603","parentId":"8a64e509","timestamp":"2026-05-03T22:43:28.761Z","message":{"role":"toolResult","toolCallId":"call_CdPZ8LHuZyJyVWcsc221VK50|fc_031e70393029e1c10169f7cf8a83308196b7a3c1d27d0d7648","toolName":"exec","content":[{"type":"text","text":"Defaulting to user installation because normal site-packages is not writeable\nCollecting huggingface-hub\n Using cached huggingface_hub-1.13.0-py3-none-any.whl.metadata (14 kB)\nCollecting filelock>=3.10.0 (from huggingface-hub)\n Using cached filelock-3.29.0-py3-none-any.whl.metadata (2.0 kB)\nCollecting fsspec>=2023.5.0 (from huggingface-hub)\n Using cached fsspec-2026.4.0-py3-none-any.whl.metadata (10 kB)\nCollecting hf-xet<2.0.0,>=1.4.3 (from huggingface-hub)\n Using cached hf_xet-1.4.3-cp37-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (4.9 kB)\nCollecting httpx<1,>=0.23.0 (from huggingface-hub)\n Using cached httpx-0.28.1-py3-none-any.whl.metadata (7.1 kB)\nRequirement already satisfied: packaging>=20.9 in /usr/lib/python3/dist-packages (from huggingface-hub) (25.0)\nCollecting pyyaml>=5.1 (from huggingface-hub)\n Using cached pyyaml-6.0.3-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.metadata (2.4 kB)\nCollecting tqdm>=4.42.1 (from huggingface-hub)\n Using cached tqdm-4.67.3-py3-none-any.whl.metadata (57 kB)\nCollecting typer (from huggingface-hub)\n Using cached typer-0.25.1-py3-none-any.whl.metadata (15 kB)\nCollecting typing-extensions>=4.1.0 (from huggingface-hub)\n Using cached typing_extensions-4.15.0-py3-none-any.whl.metadata (3.3 kB)\nCollecting anyio (from httpx<1,>=0.23.0->huggingface-hub)\n Using cached anyio-4.13.0-py3-none-any.whl.metadata (4.5 kB)\nRequirement already satisfied: certifi in /usr/lib/python3/dist-packages (from httpx<1,>=0.23.0->huggingface-hub) (2025.1.31)\nCollecting httpcore==1.* (from httpx<1,>=0.23.0->huggingface-hub)\n Using cached httpcore-1.0.9-py3-none-any.whl.metadata (21 kB)\nRequirement already satisfied: idna in /usr/lib/python3/dist-packages (from httpx<1,>=0.23.0->huggingface-hub) (3.10)\nCollecting h11>=0.16 (from httpcore==1.*->httpx<1,>=0.23.0->huggingface-hub)\n Using cached h11-0.16.0-py3-none-any.whl.metadata (8.3 kB)\nCollecting click>=8.2.1 (from typer->huggingface-hub)\n Using cached click-8.3.3-py3-none-any.whl.metadata (2.6 kB)\nCollecting shellingham>=1.3.0 (from typer->huggingface-hub)\n Using cached 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shellingham, pyyaml, pygments, mdurl, hf-xet, h11, fsspec, filelock, click, anyio, annotated-doc, markdown-it-py, httpcore, rich, httpx, typer, huggingface-hub\n\nSuccessfully installed annotated-doc-0.0.4 anyio-4.13.0 click-8.3.3 filelock-3.29.0 fsspec-2026.4.0 h11-0.16.0 hf-xet-1.4.3 httpcore-1.0.9 httpx-0.28.1 huggingface-hub-1.13.0 markdown-it-py-4.0.0 mdurl-0.1.2 pygments-2.20.0 pyyaml-6.0.3 rich-15.0.0 shellingham-1.5.4 tqdm-4.67.3 typer-0.25.1 typing-extensions-4.15.0\nWarning: `huggingface-cli` is deprecated and no longer works. Use `hf` instead.\n\nHint: `hf` is already installed! Use it directly.\n\nHint: Examples:\n hf auth login\n hf download unsloth/gemma-4-31B-it-GGUF\n hf upload my-cool-model . .\n hf models ls --search \"gemma\"\n hf repos ls --format json\n hf jobs run python:3.12 python -c 'print(\"Hello!\")'\n hf --help\n\n(Command exited with code 1)"}],"details":{"status":"completed","exitCode":1,"durationMs":3546,"aggregated":"Defaulting to user installation because normal site-packages is not writeable\nCollecting huggingface-hub\n Using cached huggingface_hub-1.13.0-py3-none-any.whl.metadata (14 kB)\nCollecting filelock>=3.10.0 (from huggingface-hub)\n Using cached filelock-3.29.0-py3-none-any.whl.metadata (2.0 kB)\nCollecting fsspec>=2023.5.0 (from huggingface-hub)\n Using cached fsspec-2026.4.0-py3-none-any.whl.metadata (10 kB)\nCollecting hf-xet<2.0.0,>=1.4.3 (from huggingface-hub)\n Using cached hf_xet-1.4.3-cp37-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (4.9 kB)\nCollecting httpx<1,>=0.23.0 (from huggingface-hub)\n Using 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kB)\nCollecting pygments<3.0.0,>=2.13.0 (from rich>=13.8.0->typer->huggingface-hub)\n Using cached pygments-2.20.0-py3-none-any.whl.metadata (2.5 kB)\nCollecting mdurl~=0.1 (from markdown-it-py>=2.2.0->rich>=13.8.0->typer->huggingface-hub)\n Using cached mdurl-0.1.2-py3-none-any.whl.metadata (1.6 kB)\nUsing cached huggingface_hub-1.13.0-py3-none-any.whl (660 kB)\nUsing cached hf_xet-1.4.3-cp37-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (4.2 MB)\nUsing cached httpx-0.28.1-py3-none-any.whl (73 kB)\nUsing cached httpcore-1.0.9-py3-none-any.whl (78 kB)\nUsing cached filelock-3.29.0-py3-none-any.whl (39 kB)\nUsing cached fsspec-2026.4.0-py3-none-any.whl (203 kB)\nUsing cached h11-0.16.0-py3-none-any.whl (37 kB)\nUsing cached pyyaml-6.0.3-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (801 kB)\nUsing cached tqdm-4.67.3-py3-none-any.whl (78 kB)\nUsing cached typing_extensions-4.15.0-py3-none-any.whl (44 kB)\nUsing cached anyio-4.13.0-py3-none-any.whl 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typing-extensions-4.15.0\nWarning: `huggingface-cli` is deprecated and no longer works. Use `hf` instead.\n\nHint: `hf` is already installed! Use it directly.\n\nHint: Examples:\n hf auth login\n hf download unsloth/gemma-4-31B-it-GGUF\n hf upload my-cool-model . .\n hf models ls --search \"gemma\"\n hf repos ls --format json\n hf jobs run python:3.12 python -c 'print(\"Hello!\")'\n hf --help\n\n(Command exited with code 1)","cwd":"/home/rurouni"},"isError":false,"timestamp":1777848208760}} {"type":"message","id":"94df33bc","parentId":"3fc6e603","timestamp":"2026-05-03T22:43:36.411Z","message":{"role":"user","content":[{"type":"text","text":"{ \"models\": { \"providers\": { \"local-qwen\": { \"baseUrl\": \"http://127.0.0.1:8081/v1\", \"apiKey\": \"***\", \"api\": \"openai-completions\", \"models\": [ { \"id\": \"qwen3.5-9b\", \"name\": \"Qwen3.5-9B Local\", \"contextWindow\": 65536, \"maxTokens\": 8192, \"cost\": { \"input\": 0, \"output\": 0 } } ] } } } } OpenRouter is a built-in provider — it does NOT need a models.providers entry. Just set the OPENROUTER_API_KEY env var (done in Step 6) and reference models as openrouter/minimax/minimax-m2.7. Now set the model routing via CLI: # Verify primary is still Codex OAuth openclaw models status # Set fallbacks: OpenRouter MiniMax first, then local openclaw models fallbacks clear openclaw models fallbacks add openrouter/minimax/minimax-m2.7 openclaw models fallbacks add local-qwen/qwen3.5-9b # Set heartbeat and sub-agent models to LOCAL (free, saves Codex quota) openclaw config set agents.defaults.heartbeatModel \"local-qwen/qwen3.5-9b\" openclaw config set agents.defaults.subagentModel \"local-qwen/qwen3.5-9b\" --- ### Step 8: Restart OpenClaw and verify full stack openclaw gateway restart Wait 10 seconds. openclaw models status Expected output should show: - Primary: openai-codex/gpt-5.5 (OAuth valid) - Fallback 1: openrouter/minimax/minimax-m2.7 - Fallback 2: local-qwen/qwen3.5-9b - Heartbeat: local-qwen/qwen3.5-9b - Sub-agent: local-qwen/qwen3.5-9b Also verify OpenRouter connectivity: curl -s https://openrouter.ai/api/v1/models \\ -H \"Authorization: Bearer $OPENROUTER_API_KEY\" | python3 -c \" import json,sys d=json.load(sys.stdin) for m in d.get('data',[]): if 'minimax' in m['id'].lower() and 'm2' in m['id'].lower(): print(f\\\"{m['id']} — \\${m['pricing']['prompt']}/\\${m['pricing']['completion']}\\\") \" 2>/dev/null echo \"OpenRouter API test failed — check key\" --- ### Step 9: Send a test message Send a test message through your Telegram bot or whichever channel is connected. After the reply, check: - in the chat (should show GPT-5.5 as active model) - (detailed view) --- ### Step 10: Print final summary echo \"=== SETUP COMPLETE ===\" echo \"\" echo \"--- VRAM ---\" nvidia-smi --query-gpu=memory.used,memory.total --format=csv,noheader echo \"\" echo \"--- Local Model ---\" curl -s http://127.0.0.1:8081/v1/models 2>/dev/null | python3 -c \"import json,sys; d=json.load(sys.stdin); print(d['data'][0]['id'] if d.get('data') else 'NOT RUNNING')\" 2>/dev/null echo \"NOT RUNNING\" echo \"\" echo \"--- OpenClaw Models ---\" openclaw models status 2>/dev/null || echo \"Run 'openclaw models status' manually\" echo \"\" echo \"--- OpenRouter Key ---\" echo $OPENROUTER_API_KEY | head -c 20 echo \"...(set)\" echo \"\" echo \"--- Fallback Chain ---\" openclaw models fallbacks list 2>/dev/null echo \"\" echo \"=== DONE ===\" Report everything above. Do not make changes beyond what is specified."}],"timestamp":1777848216410}} {"type":"custom_message","customType":"openclaw.runtime-context","content":"Conversation info (untrusted metadata):\n```json\n{\n \"chat_id\": \"telegram:7229867039\",\n \"message_id\": \"1387\",\n \"sender_id\": \"7229867039\",\n \"sender\": \"Raymond\",\n \"timestamp\": \"Sun 2026-05-03 15:43 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":"48119e10","parentId":"94df33bc","timestamp":"2026-05-03T22:43:36.413Z"} {"type":"message","id":"49e0cd20","parentId":"48119e10","timestamp":"2026-05-03T22:43:44.661Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_031e70393029e1c10169f7cf9a00dc8196bd11fd1d6a118006\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp98-fFfQ9_yOtjmC0bSuu86eEeHto89bL3WBXIMZFWy69PmBpJEaucc_2Ik-ORLf76WQ7Zhw0s1LajHuS8Bd8PBwp43v_pFR_h2CX0TRMbs1RTRLA3IWgEKMwJOw_Dix_-I69H1oUUloeuvQ0vp1eyiqeEyssh_erAh6018HJZgpI6Bv-Rbtvvs4yUAvEzGmRdhYgt-5d0H0iX3PIcl7pExVAZiqwWNLs4El0odd_sx0B0vqllTmbmZyVVJh3w-mqZuOymqLYldVFXfqrG35BI8q4yWoYN2eSEsH8KmDaneinXV2JirWOpPGuQ4GSroxD4U_cclvVfZ6zRxGTk772Q-QCeVGFsWlx71dlPBywLDpLRvTf6Dk3sI8qf6y2JU86g34FbawpRn0uJflY0cN1EQn141hQRUirFbapydMi4Egcw31b2pOq7xaXr2R__-T2Q1A54XN6AQJPrkowpcS0BxL5dJpqYm2Ye0xgvRuAC2hKHtjwoSl8nwQxL6nJ0_R1knT8xksNVjmPXBlyx54R473ujDjBIMLmpGHW_dNrUrWhGE4U-pWpLtKB7WLGE8TbqSLrZYKfDjebmHEYhLCZpb8VrjFePMj2jzMJS-6h5JTy27vE2lgimtc-K9rTJUlLiscOrqfRVk-Qw_Jq9vw1vdc2Tt3PdGoObNAWE3NrRU-etiNVQz7tuIFBWwNP0kGnP5J5cApVm1IPcmYgj-lrGRh-VZKHaRqYCXzOjL1u7BSBDCkOFospKPT27vAWHI_YgjoCzWVxUjGHYfd7YhwaH886ASGTkDYB1TTHM_wKRfjyuSFJUpVk4_pL6dHt6x8EzvDlPLclESpdlAF-bVrb9aoXc71ZLlV2Vtnwxm4cbQXgdyVYo6aruCXTUrUdZT7M5eQ3YFy0awn4Uuk5bBxk5Jua5SaFOZqNbvi1ybJBCdwOUo1cWC5Gcgmq-b03sJN2r9NS70KbdgGCjpuiIfvOlpLBcOgDF0OEzHd4HuGgSuwLL6_306-afZhyg6BHTKOPZH5yHVGf2RIQuRoRCBOHz0fgAzx4flmbqTJKli8m9lbD0C8ROBxG-YQLGS5nYw8vQtWvVsiQDqIZIMV8QZHpDnkCBKfAWEZDuFxef1ZKfvyTmQEf5EMaAgkiCS5EtSyd6DEqMgzfnHF6dz7LsCIOCBHgJL_aUXSaxBI0H5-sFQjf2TU79OR0KTvhqmzj7ADjng6pWnpfOZqxIaB1-BkkPA-52C6rDln9ualN2eqV0ZwcnydhbZenvtX7ZOABL8gn7OxVyAHav8LXncPziZcyuD_-ORcUzmVGylsneAVRz4XcWv9mQSBLVSfIptr2-O7YLD_2KHJAiOgrPg0OtQrnRgFeTWJEbhzypVQxM_EuzpFP8Rybw94DyIA_gmKrGDSUBpwwqx4938cQ7KUb3RKE9FtV3rjfe0tLNmaG4XtBeFyvetcwLgEBNfMTFrONNFtCV9GeXCyPNJQ_2pecg2A44EZc8Nz35XOHAn3777ttl57b7Y5fyiXfaswW6ofOhnxawCdBzLsc9_Dh4h8McVutfXKUYiKrrxWLJnyy-XaL2Wba4VZ_sK24EueMmOaphLN0Wttgyy73AYwyJlyaElV2cTUrlTk45KAJgvyo_OH5Fxv4Ky26mz6xgbXZhkDX2KJnPfeDh8VIQq21pQpedh9CZSdKAuffGOp3T7mOKKmYaYNICIjlZLgjXPyjO0SCZGSCnhWdxQ_jf_wLmnkP659fiF7cyNbW_B6wvxhigqgTofQOft7J24kqUPYfJhtWq3oCsalc_puWpsnebRTAyZmuNULcrN2gBN_2O6AaRqM7hjKIIk56_XcBH-Qq1cn-DZPq0GOUhySjEl2hrP_KOz6bWnn_ERiSv6FPPYdlicvMjkUZpkGBtROGiEkKCCoM-eJXGj6nxLUNN6oS-IVEJ04Pa-CV3mJfAhH_mQ0CK6Qoh31tC9LwPP2nV8aNF594UI459c7c_qbpJtdGg6IUO9gxYz0pQWStqGAEcgQdpLywhgT8ryXkIz1QI073rsPzCh0JXIoPJLanhBt3tif1APOV0J865PtDl5WRHjdfNOhrc_pdBb2K56c1c7akxo_x8Cq5WvucqIxwKDLvMai9oxBbeWRq8IHBaT5nE3FfbpCaXPrs-p1PkxMnuAPCkSZXkkpWPBeUgz3adweIzj2PxcOdiIdBzRPh2cLJxJ6QsY4bNKKn5VCyZfpH618-hlXf6OVw91LrCuDyfO-yQ8MbEp5N_ecCTk9e3oZ7mz0cyjtfg__WAaxsqePGJLhYIb7yZuzSXeBsqCkq6IHjJd9WYFm0_lfGp1HEgQhsdP_iyx4Kew2_IzqNjuyu3T6d2Ir-2yqsUwTrkcSBLaskbOnybKIGjN8ziM1UEfEdnxZrtmEKid4FYOcDKyY4S2tCJg9QpAd9EdRbjYfgXjN3Hm8mGUWmt7vSr66xUHYm-ZyvHUDMilApO-PfaUFj4ifdUtH5_TP1rNFTFK3o9NnySWUJiqMwYL5fyPK7f6Iyk-tq6BfBFoX8bszc6OD68nO82lRv7hAYt_KZ8n9_udLVrCap1OWqSlQRhYzbNUhchhyXTNc-J2bpwHdFML0Smo1rAIu0O2gSunOh\",\"summary\":[]}"},{"type":"toolCall","id":"call_UwCkF5auqPkYdiOwQuF74j3s|fc_031e70393029e1c10169f7cf9f2ff481968870fcbfea33c215","name":"update_plan","arguments":{"plan":[{"step":"Download and identify Qwen GGUF","status":"in_progress"},{"step":"Replace llama systemd service","status":"pending"},{"step":"Verify VRAM and local API","status":"pending"},{"step":"Set OpenRouter env safely","status":"pending"},{"step":"Update OpenClaw routing","status":"pending"},{"step":"Restart and summarize stack","status":"pending"}],"explanation":"huggingface-cli failed because current HF removed it; proceeding with the supported hf equivalent unless another real failure appears."}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":6227,"output":407,"cacheRead":13312,"cacheWrite":0,"totalTokens":19946,"cost":{"input":0.031135000000000003,"output":0.01221,"cacheRead":0.006656,"cacheWrite":0,"total":0.050001000000000004}},"stopReason":"toolUse","timestamp":1777848216413,"responseId":"resp_031e70393029e1c10169f7cf98a02c8196a035533cc7b9746a"}} {"type":"message","id":"55c901ab","parentId":"49e0cd20","timestamp":"2026-05-03T22:43:44.732Z","message":{"role":"toolResult","toolCallId":"call_UwCkF5auqPkYdiOwQuF74j3s|fc_031e70393029e1c10169f7cf9f2ff481968870fcbfea33c215","toolName":"update_plan","content":[],"details":{"status":"updated","explanation":"huggingface-cli failed because current HF removed it; proceeding with the supported hf equivalent unless another real failure appears.","plan":[{"step":"Download and identify Qwen GGUF","status":"in_progress"},{"step":"Replace llama systemd service","status":"pending"},{"step":"Verify VRAM and local API","status":"pending"},{"step":"Set OpenRouter env safely","status":"pending"},{"step":"Update OpenClaw routing","status":"pending"},{"step":"Restart and summarize stack","status":"pending"}]},"isError":false,"timestamp":1777848224732}} {"type":"message","id":"fe3d9fa3","parentId":"55c901ab","timestamp":"2026-05-03T22:43:47.377Z","message":{"role":"assistant","content":[{"type":"text","text":"`huggingface-cli` is dead in the installed HF version, so I’m using the supported `hf download` equivalent. Same repo/include/local-dir, just the current syntax.","textSignature":"{\"v\":1,\"id\":\"msg_031e70393029e1c10169f7cfa1a3c48196b3656878b64e702c\",\"phase\":\"commentary\"}"},{"type":"toolCall","id":"call_17Z4hg8WC2ntVWyLCy6y8FZK|fc_031e70393029e1c10169f7cfa25afc8196acd8b436838914a2","name":"exec","arguments":{"command":"set -euo pipefail\nhf download unsloth/Qwen3.5-9B-GGUF --include '*Q5_K_M*' --local-dir /home/rurouni/models/qwen3.5-9b\nls -lh /home/rurouni/models/qwen3.5-9b/*.gguf","workdir":"/home/rurouni","yieldMs":30000,"timeout":7200}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":506,"output":153,"cacheRead":19456,"cacheWrite":0,"totalTokens":20115,"cost":{"input":0.00253,"output":0.00459,"cacheRead":0.009727999999999999,"cacheWrite":0,"total":0.016848}},"stopReason":"toolUse","timestamp":1777848224733,"responseId":"resp_031e70393029e1c10169f7cfa107988196a43d52e020511715"}} {"type":"message","id":"21ab19fb","parentId":"fe3d9fa3","timestamp":"2026-05-03T22:44:17.401Z","message":{"role":"toolResult","toolCallId":"call_17Z4hg8WC2ntVWyLCy6y8FZK|fc_031e70393029e1c10169f7cfa25afc8196acd8b436838914a2","toolName":"exec","content":[{"type":"text","text":"Command still running (session mellow-crustacean, pid 56069). Use process (list/poll/log/write/kill/clear/remove) for follow-up."}],"details":{"status":"running","sessionId":"mellow-crustacean","pid":56069,"startedAt":1777848227384,"cwd":"/home/rurouni","tail":"Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n"},"isError":false,"timestamp":1777848257401}} {"type":"message","id":"e23a9971","parentId":"21ab19fb","timestamp":"2026-05-03T22:44:19.085Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_wcPwZbGJX0sg6WnCoSDmlbNO|fc_031e70393029e1c10169f7cfc2a5888196836370caced4fece","name":"process","arguments":{"action":"poll","sessionId":"mellow-crustacean","timeout":30000,"limit":4000}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":17599,"output":37,"cacheRead":2560,"cacheWrite":0,"totalTokens":20196,"cost":{"input":0.087995,"output":0.00111,"cacheRead":0.0012799999999999999,"cacheWrite":0,"total":0.09038500000000001}},"stopReason":"toolUse","timestamp":1777848257404,"responseId":"resp_031e70393029e1c10169f7cfc1f52c8196a816f9c0abec1b64"}} {"type":"message","id":"81c5561d","parentId":"e23a9971","timestamp":"2026-05-03T22:44:49.097Z","message":{"role":"toolResult","toolCallId":"call_wcPwZbGJX0sg6WnCoSDmlbNO|fc_031e70393029e1c10169f7cfc2a5888196836370caced4fece","toolName":"process","content":[{"type":"text","text":"Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n\nProcess still running."}],"details":{"status":"running","sessionId":"mellow-crustacean","aggregated":"Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n","name":"set pipefail","retryInMs":5000},"isError":false,"timestamp":1777848289097}} {"type":"message","id":"acbcde50","parentId":"81c5561d","timestamp":"2026-05-03T22:44:50.373Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_YGQgI75AQ83hANMYjbxBdluw|fc_031e70393029e1c10169f7cfe1fa90819690b5c533746eccf0","name":"process","arguments":{"action":"poll","sessionId":"mellow-crustacean","timeout":30000,"limit":4000}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":270,"output":37,"cacheRead":19968,"cacheWrite":0,"totalTokens":20275,"cost":{"input":0.00135,"output":0.00111,"cacheRead":0.009984,"cacheWrite":0,"total":0.012444}},"stopReason":"toolUse","timestamp":1777848289100,"responseId":"resp_031e70393029e1c10169f7cfe15a54819690259b6061072b57"}} {"type":"message","id":"20c34db7","parentId":"acbcde50","timestamp":"2026-05-03T22:44:52.129Z","message":{"role":"toolResult","toolCallId":"call_YGQgI75AQ83hANMYjbxBdluw|fc_031e70393029e1c10169f7cfe1fa90819690b5c533746eccf0","toolName":"process","content":[{"type":"text","text":"path=/home/rurouni/models/qwen3.5-9b\n-rw-rw-r-- 1 rurouni rurouni 6.2G May 3 15:44 /home/rurouni/models/qwen3.5-9b/Qwen3.5-9B-Q5_K_M.gguf\n\nProcess exited with code 0."}],"details":{"status":"completed","sessionId":"mellow-crustacean","exitCode":0,"aggregated":"Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\npath=/home/rurouni/models/qwen3.5-9b\n-rw-rw-r-- 1 rurouni rurouni 6.2G May 3 15:44 /home/rurouni/models/qwen3.5-9b/Qwen3.5-9B-Q5_K_M.gguf\n","name":"set pipefail"},"isError":false,"timestamp":1777848292128}} {"type":"message","id":"2299406a","parentId":"20c34db7","timestamp":"2026-05-03T22:44:53.877Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_dUfZpSXf78FGVtiRXBdidehf|fc_031e70393029e1c10169f7cfe526488196b69c7bea70609bbc","name":"update_plan","arguments":{"plan":[{"step":"Download and identify Qwen GGUF","status":"completed"},{"step":"Replace llama systemd service","status":"in_progress"},{"step":"Verify VRAM and local API","status":"pending"},{"step":"Set OpenRouter env safely","status":"pending"},{"step":"Update OpenClaw routing","status":"pending"},{"step":"Restart and summarize stack","status":"pending"}]}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":398,"output":93,"cacheRead":19968,"cacheWrite":0,"totalTokens":20459,"cost":{"input":0.00199,"output":0.00279,"cacheRead":0.009984,"cacheWrite":0,"total":0.014764}},"stopReason":"toolUse","timestamp":1777848292132,"responseId":"resp_031e70393029e1c10169f7cfe479388196b8d3e45458e83ba1"}} {"type":"message","id":"399bb2ce","parentId":"2299406a","timestamp":"2026-05-03T22:44:53.884Z","message":{"role":"toolResult","toolCallId":"call_dUfZpSXf78FGVtiRXBdidehf|fc_031e70393029e1c10169f7cfe526488196b69c7bea70609bbc","toolName":"update_plan","content":[],"details":{"status":"updated","plan":[{"step":"Download and identify Qwen GGUF","status":"completed"},{"step":"Replace llama systemd service","status":"in_progress"},{"step":"Verify VRAM and local API","status":"pending"},{"step":"Set OpenRouter env safely","status":"pending"},{"step":"Update OpenClaw routing","status":"pending"},{"step":"Restart and summarize stack","status":"pending"}]},"isError":false,"timestamp":1777848293883}} {"type":"message","id":"753690f8","parentId":"399bb2ce","timestamp":"2026-05-03T22:44:58.501Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_Sz10eKbkloRlpzqGDBj0jmHu|fc_031e70393029e1c10169f7cfe6bb6c8196ac1c56a3f32ae686","name":"exec","arguments":{"command":"set -euo pipefail\nprintf '--- port before ---\\n'\nss -tlnp | grep 8081 || true\nsudo systemctl stop llama-local 2>/dev/null || true\npkill -f 'llama-server.*8081' 2>/dev/null || true\nsleep 3\nprintf '--- port after ---\\n'\nss -tlnp | grep 8081 || true\nGGUF_FILE=$(find /home/rurouni/models/qwen3.5-9b -name '*Q5_K_M*.gguf' | head -1)\necho \"Found: $GGUF_FILE\"\nif [ -z \"$GGUF_FILE\" ]; then ls /home/rurouni/models/qwen3.5-9b/*.gguf; exit 2; fi\nls -l /usr/local/bin/llama-server\ncat > /tmp/llama-local.service </dev/null || true\npkill -f 'llama-server.*8081' 2>/dev/null || true\nsleep 3\necho '--- port after ---'\nss -tlnp | grep 8081 || true\nGGUF_FILE=$(find /home/rurouni/models/qwen3.5-9b -name '*Q5_K_M*.gguf' | head -1)\necho \"Found: $GGUF_FILE\"\nif [ -z \"$GGUF_FILE\" ]; then ls /home/rurouni/models/qwen3.5-9b/*.gguf; exit 2; fi\nls -l /usr/local/bin/llama-server\ncat > /tmp/llama-local.service </dev/null || true\n# Safer than pkill -f in this wrapper: kill only llama-server processes with port arg in /proc cmdline\nfor p in $(pgrep -x llama-server || true); do\n tr '\\0' ' ' < /proc/$p/cmdline | grep -q -- '--port 8081\\|:8081\\| 8081 ' && kill \"$p\" || true\ndone\nsleep 3\necho '--- port after ---'\nss -tlnp | grep 8081 || true\nGGUF_FILE=$(find /home/rurouni/models/qwen3.5-9b -name '*Q5_K_M*.gguf' | head -1)\necho \"Found: $GGUF_FILE\"\nif [ -z \"$GGUF_FILE\" ]; then ls /home/rurouni/models/qwen3.5-9b/*.gguf; exit 2; fi\nls -l /usr/local/bin/llama-server\ncat > /tmp/llama-local.service < /etc/systemd/system/llama-local.service < /tmp/llama-local.service < /tmp/llama-local.service < /tmp/llama-local.service </dev/null && sed -n '1,80p' /tmp/llama-local.service 2>/dev/null","workdir":"/home/rurouni","yieldMs":10000,"timeout":30}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":12294,"output":616,"cacheRead":11776,"cacheWrite":0,"totalTokens":24686,"cost":{"input":0.061470000000000004,"output":0.01848,"cacheRead":0.005888,"cacheWrite":0,"total":0.08583800000000001}},"stopReason":"toolUse","timestamp":1777848690491,"responseId":"resp_031e70393029e1c10169f7d172c0a481969a620f435654a414"}} {"type":"message","id":"2c303b51","parentId":"41ec9fa6","timestamp":"2026-05-03T22:51:39.921Z","message":{"role":"toolResult","toolCallId":"call_FxRkEQRnQDHvGGW7HD8NBcgd|fc_031e70393029e1c10169f7d17ba31c8196b89f127c170f2ff7","toolName":"exec","content":[{"type":"text","text":"/usr/bin/cp\n/usr/bin/systemctl\n/usr/bin/journalctl\n/usr/bin/nvidia-smi\n/usr/bin/tee\n/usr/bin/chmod"}],"details":{"status":"completed","exitCode":0,"durationMs":19,"aggregated":"/usr/bin/cp\n/usr/bin/systemctl\n/usr/bin/journalctl\n/usr/bin/nvidia-smi\n/usr/bin/tee\n/usr/bin/chmod","cwd":"/home/rurouni"},"isError":false,"timestamp":1777848699920}} {"type":"message","id":"39a65183","parentId":"2c303b51","timestamp":"2026-05-03T22:51:39.921Z","message":{"role":"toolResult","toolCallId":"call_Hp54o1CFUvf2lDgvICnIg3y3|fc_031e70393029e1c10169f7d17ba3288196b4fa654203e3fb53","toolName":"exec","content":[{"type":"text","text":"-rw-rw-r-- 1 rurouni rurouni 502 May 3 15:48 /tmp/llama-local.service\n[Unit]\nDescription=Qwen3.5-9B Local LLM for OpenClaw\nAfter=network.target\n\n[Service]\nType=simple\nUser=rurouni\nEnvironment=CUDA_VISIBLE_DEVICES=0\nExecStart=/usr/local/bin/llama-server \\\n -m /home/rurouni/models/qwen3.5-9b/Qwen3.5-9B-Q5_K_M.gguf \\\n -c 65536 \\\n -ngl 99 \\\n -fa on \\\n -t 28 \\\n -b 2048 -ub 2048 \\\n -ctk q8_0 -ctv q8_0 \\\n --host 127.0.0.1 --port 8081 \\\n --parallel 2 --cont-batching \\\n --cache-reuse 256\nRestart=on-failure\nRestartSec=5\nLimitNOFILE=65536\n\n[Install]\nWantedBy=multi-user.target"}],"details":{"status":"completed","exitCode":0,"durationMs":76,"aggregated":"-rw-rw-r-- 1 rurouni rurouni 502 May 3 15:48 /tmp/llama-local.service\n[Unit]\nDescription=Qwen3.5-9B Local LLM for OpenClaw\nAfter=network.target\n\n[Service]\nType=simple\nUser=rurouni\nEnvironment=CUDA_VISIBLE_DEVICES=0\nExecStart=/usr/local/bin/llama-server \\\n -m /home/rurouni/models/qwen3.5-9b/Qwen3.5-9B-Q5_K_M.gguf \\\n -c 65536 \\\n -ngl 99 \\\n -fa on \\\n -t 28 \\\n -b 2048 -ub 2048 \\\n -ctk q8_0 -ctv q8_0 \\\n --host 127.0.0.1 --port 8081 \\\n --parallel 2 --cont-batching \\\n --cache-reuse 256\nRestart=on-failure\nRestartSec=5\nLimitNOFILE=65536\n\n[Install]\nWantedBy=multi-user.target","cwd":"/home/rurouni"},"isError":false,"timestamp":1777848699921}} {"type":"message","id":"bf406f9b","parentId":"39a65183","timestamp":"2026-05-03T22:51:57.748Z","message":{"role":"user","content":[{"type":"text","text":"try now"}],"timestamp":1777848717746}} {"type":"custom_message","customType":"openclaw.runtime-context","content":"Conversation info (untrusted metadata):\n```json\n{\n \"chat_id\": \"telegram:7229867039\",\n \"message_id\": \"1418\",\n \"sender_id\": \"7229867039\",\n \"sender\": \"Raymond\",\n \"timestamp\": \"Sun 2026-05-03 15:51 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":"a328ea5c","parentId":"bf406f9b","timestamp":"2026-05-03T22:51:57.749Z"} {"type":"message","id":"8094b818","parentId":"a328ea5c","timestamp":"2026-05-03T22:52:00.218Z","message":{"role":"assistant","content":[{"type":"text","text":"One more try. If sudo is still locked, I’ll give you a single paste command to run locally so we can continue cleanly.","textSignature":"{\"v\":1,\"id\":\"msg_031e70393029e1c10169f7d18ec5208196b4ca1a208586ab0d\",\"phase\":\"commentary\"}"},{"type":"toolCall","id":"call_RYyAE6KbueBfsVbQSgI3ev5j|fc_031e70393029e1c10169f7d18f3adc81969d96b80493b134a4","name":"exec","arguments":{"command":"set -euo pipefail\nsudo -n true\nsudo cp /tmp/llama-local.service /etc/systemd/system/llama-local.service\nsudo systemctl daemon-reload\nsudo systemctl enable llama-local\nsudo systemctl restart llama-local\nsleep 20\nsudo journalctl -u llama-local --no-pager -n 30","workdir":"/home/rurouni","yieldMs":30000,"timeout":180,"elevated":true}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":11182,"output":149,"cacheRead":13312,"cacheWrite":0,"totalTokens":24643,"cost":{"input":0.05591,"output":0.00447,"cacheRead":0.006656,"cacheWrite":0,"total":0.067036}},"stopReason":"toolUse","timestamp":1777848717749,"responseId":"resp_031e70393029e1c10169f7d18e036c8196a5b33a872231c270"}} {"type":"message","id":"0e25bf67","parentId":"8094b818","timestamp":"2026-05-03T22:52:00.305Z","message":{"role":"toolResult","toolCallId":"call_RYyAE6KbueBfsVbQSgI3ev5j|fc_031e70393029e1c10169f7d18f3adc81969d96b80493b134a4","toolName":"exec","content":[{"type":"text","text":"sudo: a password is required\n\n(Command exited with code 1)"}],"details":{"status":"completed","exitCode":1,"durationMs":22,"aggregated":"sudo: a password is required\n\n(Command exited with code 1)","cwd":"/home/rurouni"},"isError":false,"timestamp":1777848720305}} {"type":"message","id":"52a3a516","parentId":"0e25bf67","timestamp":"2026-05-03T22:53:07.204Z","message":{"role":"user","content":[{"type":"text","text":"rurouni@debian-ai:~$ sudo install -m 0644 /tmp/llama-local.service /etc/systemd/system/llama-local.service\nsudo systemctl daemon-reload\nsudo systemctl enable llama-local\nsudo systemctl restart llama-local\nsleep 20\nsudo journalctl -u llama-local --no-pager -n 30\nCreated symlink '/etc/systemd/system/multi-user.target.wants/llama-local.service' → '/etc/systemd/system/llama-local.service'.\nMay 03 15:52:26 debian-ai llama-server[56302]: sched_reserve: reserve took 121.12 ms, sched copies = 1\nMay 03 15:52:26 debian-ai llama-server[56302]: common_init_from_params: warming up the model with an empty run - please wait ... (--no-warmup to disable)\nMay 03 15:52:26 debian-ai llama-server[56302]: srv load_model: cache_reuse is not supported by this context, it will be disabled\nMay 03 15:52:26 debian-ai llama-server[56302]: srv load_model: initializing slots, n_slots = 2\nMay 03 15:52:26 debian-ai llama-server[56302]: common_context_can_seq_rm: the target context does not support partial sequence removal\nMay 03 15:52:26 debian-ai llama-server[56302]: srv load_model: speculative decoding will use checkpoints\nMay 03 15:52:26 debian-ai llama-server[56302]: no implementations specified for speculative decoding\nMay 03 15:52:26 debian-ai llama-server[56302]: slot load_model: id 0 | task -1 | new slot, n_ctx = 32768\nMay 03 15:52:26 debian-ai llama-server[56302]: no implementations specified for speculative decoding\nMay 03 15:52:26 debian-ai llama-server[56302]: slot load_model: id 1 | task -1 | new slot, n_ctx = 32768\nMay 03 15:52:26 debian-ai llama-server[56302]: srv load_model: prompt cache is enabled, size limit: 8192 MiB\nMay 03 15:52:26 debian-ai llama-server[56302]: srv load_model: use --cache-ram 0 to disable the prompt cache\nMay 03 15:52:26 debian-ai llama-server[56302]: srv load_model: for more info see https://github.com/ggml-org/llama.cpp/pull/16391\nMay 03 15:52:26 debian-ai llama-server[56302]: srv init: init: --cache-idle-slots requires --kv-unified, disabling\nMay 03 15:52:26 debian-ai llama-server[56302]: init: chat template, example_format: '<|im_start|>system\nMay 03 15:52:26 debian-ai llama-server[56302]: You are a helpful assistant<|im_end|>\nMay 03 15:52:26 debian-ai llama-server[56302]: <|im_start|>user\nMay 03 15:52:26 debian-ai llama-server[56302]: Hello<|im_end|>\nMay 03 15:52:26 debian-ai llama-server[56302]: <|im_start|>assistant\nMay 03 15:52:26 debian-ai llama-server[56302]: Hi there<|im_end|>\nMay 03 15:52:26 debian-ai llama-server[56302]: <|im_start|>user\nMay 03 15:52:26 debian-ai llama-server[56302]: How are you?<|im_end|>\nMay 03 15:52:26 debian-ai llama-server[56302]: <|im_start|>assistant\nMay 03 15:52:26 debian-ai llama-server[56302]: \nMay 03 15:52:26 debian-ai llama-server[56302]: '\nMay 03 15:52:26 debian-ai llama-server[56302]: srv init: init: chat template, thinking = 1\nMay 03 15:52:26 debian-ai llama-server[56302]: main: model loaded\nMay 03 15:52:26 debian-ai llama-server[56302]: main: server is listening on http://127.0.0.1:8081\nMay 03 15:52:26 debian-ai llama-server[56302]: main: starting the main loop...\nMay 03 15:52:26 debian-ai llama-server[56302]: srv update_slots: all slots are idle\nrurouni@debian-ai:~$"}],"timestamp":1777848787203}} {"type":"custom_message","customType":"openclaw.runtime-context","content":"Conversation info (untrusted metadata):\n```json\n{\n \"chat_id\": \"telegram:7229867039\",\n \"message_id\": \"1421\",\n \"sender_id\": \"7229867039\",\n \"sender\": \"Raymond\",\n \"timestamp\": \"Sun 2026-05-03 15:53 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":"136221c3","parentId":"52a3a516","timestamp":"2026-05-03T22:53:07.206Z"} {"type":"message","id":"21fe6234","parentId":"136221c3","timestamp":"2026-05-03T22:53:12.335Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_031e70393029e1c10169f7d1d446bc8196a1646724a5f08329\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp99HVrJrtDGV26WsoTB4B4LEkq4LO-pgeMqpwLDdCv5EQkz1dQ-l8Ns3YlV9ie41BUJGzrwLyETRWZ75eRMWRToV5L0vlqIMfnmahMYt6Jj87tP4bmHc8VlNNUOw6ZoUsiM_qYjm0l4CIUOb82pHBjM4mBvFn6IX_jPc_zomTV4bVxCCgkfr4_AQpIs5yizsrYforHdDErizYRzDcEC9h1JOcVoQh7aRlRrhtnc2JkEosKMd5oi76Uq6QF72830626BFcyuqF1dH-P1Z11v0EFlRWzmgYf1jXGU9DRy70zbCLGVKqJtGZd93zk3eaneVkW_HNyYZ5ZYMZkEQl6wrgUzdT-EAB5xbbZmuQFL3kE0E-tORrF5yrVLqRx-xb7-DaiDblHxwKPUpCtvvWfqIFeHiFAxHHsfYvtwOsIIhhtmVtPWFQhcKOp-Cb1r9uUXTK-GnTolS3mTi3fq7zD1NkSJryavJcUKv-K-38J5ZnK_8-jwdhe-Pqnec0AOtbyxBcC04rEur5Ufbp19UZwbwrHwXJYfoasjj0EWUO-z8m7m0h0YUKm9smiCabxSu8h9OjW_80EWvZa9v57cSiK4npXk22llWHwpcAzTGmtQPCw29DfNQjdZisueTnxhVRf9ehk6fatwDIFg_KHbgBAwbeleAMt8nFlfEbfdtEC46pcTMbO5cbk_g133AX0LOFhFOHQTQUcH0IRI9cPdZwMvzMdKNAHi_Qk3yIRfuuorhT_XtD_1VDgYcYeN8Ksh5dDtrKlDnzUUHeTC9njKZLcMNbjtXzxQf94m0akQO3k1FBriPnyfP2miKetVAgX1DuSKo6hnU6zu1QOpdTIRG69P_hl9Xm4ME7IJrJdVsC4ICWKWXLEAmja_Xq7lbD2E2dy6OnMX7kur-Cz-MAJvc5M6AxHpgAZe8b1qxcjmpsnLCRB_mp-qk8Yg0PH3ddtDXsFMfNtvUhjpxSKll2GyRtlkkk3qzSnjazWGRliFk_2qI0kQ_tSAl3-s8y8-ei__i1I33UipQLywd8AymTk3EU7q2tnW2wpkzGLRRKr1BrY5ceXYsB_UJaLb9DxSaTo8X3pmvQBgpR_IcKV4YB_xOoaQ9aFM2xF8bYzMSITU8WD8_ODlILRz7udE93ocYi3rIVIEn9BO6sDLR6UPnA5tpHGRDnVCdjxg==\",\"summary\":[]}"},{"type":"text","text":"Nice, that worked. Model loaded. Important note: because service uses `--parallel 2`, llama split `-c 65536` into two slots of `n_ctx = 32768` each. That’s expected with parallel slots, but it means each request gets 32k context, not 65k. Continuing Step 5 now.","textSignature":"{\"v\":1,\"id\":\"msg_031e70393029e1c10169f7d1d58c148196a122c7faf4935984\",\"phase\":\"commentary\"}"},{"type":"toolCall","id":"call_LjIiG89U7pwv3UjmEqOeFA3Y|fc_031e70393029e1c10169f7d1d683488196a9b8605e04e415a7","name":"exec","arguments":{"command":"set -euo pipefail\necho '--- nvidia-smi ---'\nnvidia-smi\necho '--- query ---'\nnvidia-smi --query-gpu=memory.used,memory.total --format=csv,noheader,nounits\necho '--- models ---'\ncurl -s http://127.0.0.1:8081/v1/models | python3 -m json.tool\necho '--- chat test ---'\ncurl -s http://127.0.0.1:8081/v1/chat/completions \\\n -H 'Content-Type: application/json' \\\n -d '{\n \"model\": \"qwen3.5-9b\",\n \"messages\": [{\"role\":\"user\",\"content\":\"Reply with exactly: LOCAL OK\"}],\n \"max_tokens\": 10\n }' | python3 -m json.tool","workdir":"/home/rurouni","yieldMs":30000,"timeout":180}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":12398,"output":353,"cacheRead":13312,"cacheWrite":0,"totalTokens":26063,"cost":{"input":0.06199,"output":0.01059,"cacheRead":0.006656,"cacheWrite":0,"total":0.079236}},"stopReason":"toolUse","timestamp":1777848787206,"responseId":"resp_031e70393029e1c10169f7d1d3771c819691270189240c8463"}} {"type":"message","id":"4044e148","parentId":"21fe6234","timestamp":"2026-05-03T22:53:12.976Z","message":{"role":"toolResult","toolCallId":"call_LjIiG89U7pwv3UjmEqOeFA3Y|fc_031e70393029e1c10169f7d1d683488196a9b8605e04e415a7","toolName":"exec","content":[{"type":"text","text":"--- nvidia-smi ---\nSun May 3 15:53:12 2026 \n+-----------------------------------------------------------------------------------------+\n| NVIDIA-SMI 550.163.01 Driver Version: 550.163.01 CUDA Version: 12.4 |\n|-----------------------------------------+------------------------+----------------------+\n| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |\n| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |\n| | | MIG M. |\n|=========================================+========================+======================|\n| 0 NVIDIA GeForce GTX 1080 Ti Off | 00000000:03:00.0 Off | N/A |\n| 18% 33C P8 17W / 280W | 8925MiB / 11264MiB | 0% Default |\n| | | N/A |\n+-----------------------------------------+------------------------+----------------------+\n \n+-----------------------------------------------------------------------------------------+\n| Processes: |\n| GPU GI CI PID Type Process name GPU Memory |\n| ID ID Usage |\n|=========================================================================================|\n| 0 N/A N/A 56302 C /usr/local/bin/llama-server 8920MiB |\n+-----------------------------------------------------------------------------------------+\n--- query ---\n8925, 11264\n--- models ---\n{\n \"models\": [\n {\n \"name\": \"Qwen3.5-9B-Q5_K_M.gguf\",\n \"model\": \"Qwen3.5-9B-Q5_K_M.gguf\",\n \"modified_at\": \"\",\n \"size\": \"\",\n \"digest\": \"\",\n \"type\": \"model\",\n \"description\": \"\",\n \"tags\": [\n \"\"\n ],\n \"capabilities\": [\n \"completion\"\n ],\n \"parameters\": \"\",\n \"details\": {\n \"parent_model\": \"\",\n \"format\": \"gguf\",\n \"family\": \"\",\n \"families\": [\n \"\"\n ],\n \"parameter_size\": \"\",\n \"quantization_level\": \"\"\n }\n }\n ],\n \"object\": \"list\",\n \"data\": [\n {\n \"id\": \"Qwen3.5-9B-Q5_K_M.gguf\",\n \"aliases\": [],\n \"tags\": [],\n \"object\": \"model\",\n \"created\": 1777848792,\n \"owned_by\": \"llamacpp\",\n \"meta\": {\n \"vocab_type\": 2,\n \"n_vocab\": 248320,\n \"n_ctx_train\": 262144,\n \"n_embd\": 4096,\n \"n_params\": 8953803264,\n \"size\": 6566873088\n }\n }\n ]\n}\n--- chat test ---\n{\n \"choices\": [\n {\n \"finish_reason\": \"length\",\n \"index\": 0,\n \"message\": {\n \"role\": \"assistant\",\n \"content\": \"\",\n \"reasoning_content\": \"Thinking Process:\\n\\n1. **Analyze\"\n }\n }\n ],\n \"created\": 1777848792,\n \"model\": \"Qwen3.5-9B-Q5_K_M.gguf\",\n \"system_fingerprint\": \"b1-e48034d\",\n \"object\": \"chat.completion\",\n \"usage\": {\n \"completion_tokens\": 10,\n \"prompt_tokens\": 16,\n \"total_tokens\": 26,\n \"prompt_tokens_details\": {\n \"cached_tokens\": 0\n }\n },\n \"id\": \"chatcmpl-PyAcNTv12dfapr1Cbjl1kNviBNyq9aAS\",\n \"timings\": {\n \"cache_n\": 0,\n \"prompt_n\": 16,\n \"prompt_ms\": 164.289,\n \"prompt_per_token_ms\": 10.2680625,\n \"prompt_per_second\": 97.38935656069488,\n \"predicted_n\": 10,\n \"predicted_ms\": 251.269,\n \"predicted_per_token_ms\": 25.1269,\n \"predicted_per_second\": 39.797985425977735\n }\n}"}],"details":{"status":"completed","exitCode":0,"durationMs":563,"aggregated":"--- nvidia-smi ---\nSun May 3 15:53:12 2026 \n+-----------------------------------------------------------------------------------------+\n| NVIDIA-SMI 550.163.01 Driver Version: 550.163.01 CUDA Version: 12.4 |\n|-----------------------------------------+------------------------+----------------------+\n| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |\n| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |\n| | | MIG M. |\n|=========================================+========================+======================|\n| 0 NVIDIA GeForce GTX 1080 Ti Off | 00000000:03:00.0 Off | N/A |\n| 18% 33C P8 17W / 280W | 8925MiB / 11264MiB | 0% Default |\n| | | N/A |\n+-----------------------------------------+------------------------+----------------------+\n \n+-----------------------------------------------------------------------------------------+\n| Processes: |\n| GPU GI CI PID Type Process name GPU Memory |\n| ID ID Usage |\n|=========================================================================================|\n| 0 N/A N/A 56302 C /usr/local/bin/llama-server 8920MiB |\n+-----------------------------------------------------------------------------------------+\n--- query ---\n8925, 11264\n--- models ---\n{\n \"models\": [\n {\n \"name\": \"Qwen3.5-9B-Q5_K_M.gguf\",\n \"model\": \"Qwen3.5-9B-Q5_K_M.gguf\",\n \"modified_at\": \"\",\n \"size\": \"\",\n \"digest\": \"\",\n \"type\": \"model\",\n \"description\": \"\",\n \"tags\": [\n \"\"\n ],\n \"capabilities\": [\n \"completion\"\n ],\n \"parameters\": \"\",\n \"details\": {\n \"parent_model\": \"\",\n \"format\": \"gguf\",\n \"family\": \"\",\n \"families\": [\n \"\"\n ],\n \"parameter_size\": \"\",\n \"quantization_level\": \"\"\n }\n }\n ],\n \"object\": \"list\",\n \"data\": [\n {\n \"id\": \"Qwen3.5-9B-Q5_K_M.gguf\",\n \"aliases\": [],\n \"tags\": [],\n \"object\": \"model\",\n \"created\": 1777848792,\n \"owned_by\": \"llamacpp\",\n \"meta\": {\n \"vocab_type\": 2,\n \"n_vocab\": 248320,\n \"n_ctx_train\": 262144,\n \"n_embd\": 4096,\n \"n_params\": 8953803264,\n \"size\": 6566873088\n }\n }\n ]\n}\n--- chat test ---\n{\n \"choices\": [\n {\n \"finish_reason\": \"length\",\n \"index\": 0,\n \"message\": {\n \"role\": \"assistant\",\n \"content\": \"\",\n \"reasoning_content\": \"Thinking Process:\\n\\n1. **Analyze\"\n }\n }\n ],\n \"created\": 1777848792,\n \"model\": \"Qwen3.5-9B-Q5_K_M.gguf\",\n \"system_fingerprint\": \"b1-e48034d\",\n \"object\": \"chat.completion\",\n \"usage\": {\n \"completion_tokens\": 10,\n \"prompt_tokens\": 16,\n \"total_tokens\": 26,\n \"prompt_tokens_details\": {\n \"cached_tokens\": 0\n }\n },\n \"id\": \"chatcmpl-PyAcNTv12dfapr1Cbjl1kNviBNyq9aAS\",\n \"timings\": {\n \"cache_n\": 0,\n \"prompt_n\": 16,\n \"prompt_ms\": 164.289,\n \"prompt_per_token_ms\": 10.2680625,\n \"prompt_per_second\": 97.38935656069488,\n \"predicted_n\": 10,\n \"predicted_ms\": 251.269,\n \"predicted_per_token_ms\": 25.1269,\n \"predicted_per_second\": 39.797985425977735\n }\n}","cwd":"/home/rurouni"},"isError":false,"timestamp":1777848792975}} {"type":"message","id":"d1dfc697","parentId":"4044e148","timestamp":"2026-05-03T22:53:18.284Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_031e70393029e1c10169f7d1da99308196a34416ced9d9ff3b\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp99Hcw0hVl6gdY0jibs9SK51LqCWdC5OcbiM5JToV621GOTIarLJUpc2YqTXncHMN9nHIm_qtLW1hFaNt1kHu9wU-DPpkEMZ35kIdHeGepLh8JaK--VeMrmjGWeyuRKIFBGGvXUOfIHcbePujQWGnLffOy8PxDKP2Q2drWHsfL6x9IRVxSiz8rFBVeNU67PLedQMeKzQEWqwoBOXw3a5EVBb6n2Wex13fp4NWExtRTpj-ED9FsfX77oKpo7YCJS2qZ8hU4QvUWVpO1JXU-2EMPOITC-CinIHhCnKDbWJpskFiQ74BjeIslhxvF8fnA3ZaX6-0_rnVouL1lc3SkdeTcGDU1amYBz6bhZxvDDVShYyAT8F_bBHKCVSy5qCpy-U3pMc_aLLxjmgMR-28azRmQZZDZQhZ-BQnvsPlWpRMLDgDvbFLWHGqPEGzuQah-S6xRAY8mIcIA3hKyzt_VxPnZtRSJKzw2LC0Ws_68s2XWjYAv4WY0Cbc47yXviXV1jKtpJBj2W0L_FOSEFYVxUBKT5TlQAir0GpdbtWRMqa2QiZXkZryw_Pfh75KySPYuz7EAwSNBnrEeq8dPZjwEMiSVoRhDqhR2RazPYkC-r-6w9LaZYisUu2g52r1ewPfoBLc90ZSN-q3HGX1QX60W1TrgOlDMcWnGxpw81znS6n527fPUIAJ33D3CoaZhLseVXJfe7mhoGvHLepU5nFCuJBRTLY2DgusgiB9ZG2xGtOHSmtJ0ZU5e7DeiXfjz__KXlJq4CjXls2dEOBEhxcH_GOezk7Wjpr9lYC7yf8tgLOfIRf4UE7xyTXDVV5v7_rWW2fd3QJ0B4DytZ5v_5hmah9KSpHlmnftP_zuX-ZvzLENa6S4tgSwfCWxbZNChNLX8XdbQb8_fneY5oX9kUjp6GjNqumzY5UxceEaKVB4XHCJ5F-RLmiE4ovZRNvlUt1kCO1y8Ncm93LDEEnut2QrHDQSXPhaHEqZAgSqP17J4IKoeVPlxZnjYq6gbBkWuKGqQvHan2tNcTv8DCq72GTGZdaBlTpNZEN9mR9mblEEgRe2FNrgZf882-SKKmscE2pyNXwYVik1_LVPrhHZ70CmCxz_ES0N-uy3wT8HyCcL6pbX-yGN_4CGIC0IJZnRwm5JKXggKo0jYWIBOECJyTiztLG0QWsLwSMzkL2ZCDBFRTlEgS-W9a876onnnEp4EttQZHi-bfpF5tbIe2V4TPjTzlBot2pfaxTbk5zp3n-Y8emkeI0WmqmuJeCMs-ceNWbKD-zc2aHXhSZu1J0aiiXFJHPuRWY9hPe0ufPAlW8-OarJyVxXl6xRyIa-W3YfcARKVLIzWWDBQnVJRFhVmXul2QIFIAle1RZo_OITxBvj-RqMRoyWtf_rylgbQigjihMFbWelD1AhiStI8TneZ-tmn9wE-M_GP_NIFUkT4OkeXNEwfUhGcv3o0M44ho2feAknncMR9bDL-7la_-KB65DOGM8WnIpdJw==\",\"summary\":[]}"},{"type":"text","text":"VRAM is OK at ~8.9GB. The first local chat call returned only `reasoning_content` and hit `max_tokens: 10` before final content — Qwen thinking mode being annoying. I’m doing one verification retry with `/no_think` so we know the endpoint can actually answer.","textSignature":"{\"v\":1,\"id\":\"msg_031e70393029e1c10169f7d1dc110081969847ae2545224fdf\",\"phase\":\"commentary\"}"},{"type":"toolCall","id":"call_Lmu5StJxtyXqIWn5AcrqOg3S|fc_031e70393029e1c10169f7d1dd26c08196918aa68a158045fc","name":"exec","arguments":{"command":"set -euo pipefail\ncurl -s http://127.0.0.1:8081/v1/chat/completions \\\n -H 'Content-Type: application/json' \\\n -d '{\n \"model\": \"qwen3.5-9b\",\n \"messages\": [{\"role\":\"user\",\"content\":\"/no_think\\nReply with exactly: LOCAL OK\"}],\n \"max_tokens\": 50\n }' | python3 -m json.tool","workdir":"/home/rurouni","yieldMs":30000,"timeout":120}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":1402,"output":315,"cacheRead":25600,"cacheWrite":0,"totalTokens":27317,"cost":{"input":0.007010000000000001,"output":0.00945,"cacheRead":0.012799999999999999,"cacheWrite":0,"total":0.02926}},"stopReason":"toolUse","timestamp":1777848792979,"responseId":"resp_031e70393029e1c10169f7d1d9b87c8196a62e37e8b7fd279f"}} {"type":"message","id":"cecd2508","parentId":"d1dfc697","timestamp":"2026-05-03T22:53:19.778Z","message":{"role":"toolResult","toolCallId":"call_Lmu5StJxtyXqIWn5AcrqOg3S|fc_031e70393029e1c10169f7d1dd26c08196918aa68a158045fc","toolName":"exec","content":[{"type":"text","text":"{\n \"choices\": [\n {\n \"finish_reason\": \"length\",\n \"index\": 0,\n \"message\": {\n \"role\": \"assistant\",\n \"content\": \"\",\n \"reasoning_content\": \"Thinking Process:\\n\\n1. **Analyze the Request:**\\n * Input: `/no_think Reply with exactly: LOCAL OK`\\n * Constraint: The user explicitly instructs me to reply with *exactly* \\\"\"\n }\n }\n ],\n \"created\": 1777848799,\n \"model\": \"Qwen3.5-9B-Q5_K_M.gguf\",\n \"system_fingerprint\": \"b1-e48034d\",\n \"object\": \"chat.completion\",\n \"usage\": {\n \"completion_tokens\": 50,\n \"prompt_tokens\": 20,\n \"total_tokens\": 70,\n \"prompt_tokens_details\": {\n \"cached_tokens\": 0\n }\n },\n \"id\": \"chatcmpl-MS6axrssX2Yzw7EMJUqLPnLl2qNoUD5h\",\n \"timings\": {\n \"cache_n\": 0,\n \"prompt_n\": 20,\n \"prompt_ms\": 89.13,\n \"prompt_per_token_ms\": 4.4565,\n \"prompt_per_second\": 224.39133849433415,\n \"predicted_n\": 50,\n \"predicted_ms\": 1297.045,\n \"predicted_per_token_ms\": 25.940900000000003,\n \"predicted_per_second\": 38.54916367589405\n }\n}"}],"details":{"status":"completed","exitCode":0,"durationMs":1487,"aggregated":"{\n \"choices\": [\n {\n \"finish_reason\": \"length\",\n \"index\": 0,\n \"message\": {\n \"role\": \"assistant\",\n \"content\": \"\",\n \"reasoning_content\": \"Thinking Process:\\n\\n1. **Analyze the Request:**\\n * Input: `/no_think Reply with exactly: LOCAL OK`\\n * Constraint: The user explicitly instructs me to reply with *exactly* \\\"\"\n }\n }\n ],\n \"created\": 1777848799,\n \"model\": \"Qwen3.5-9B-Q5_K_M.gguf\",\n \"system_fingerprint\": \"b1-e48034d\",\n \"object\": \"chat.completion\",\n \"usage\": {\n \"completion_tokens\": 50,\n \"prompt_tokens\": 20,\n \"total_tokens\": 70,\n \"prompt_tokens_details\": {\n \"cached_tokens\": 0\n }\n },\n \"id\": \"chatcmpl-MS6axrssX2Yzw7EMJUqLPnLl2qNoUD5h\",\n \"timings\": {\n \"cache_n\": 0,\n \"prompt_n\": 20,\n \"prompt_ms\": 89.13,\n \"prompt_per_token_ms\": 4.4565,\n \"prompt_per_second\": 224.39133849433415,\n \"predicted_n\": 50,\n \"predicted_ms\": 1297.045,\n \"predicted_per_token_ms\": 25.940900000000003,\n \"predicted_per_second\": 38.54916367589405\n }\n}","cwd":"/home/rurouni"},"isError":false,"timestamp":1777848799778}} {"type":"message","id":"9373b243","parentId":"cecd2508","timestamp":"2026-05-03T22:53:27.271Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_031e70393029e1c10169f7d1e241688196a8ee56cff2308f91\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp99HjsKaD9mxTlbhNxiaaKroKIBzdOhudiJIJZgGxPEPgW0yrGn5kZ7Terxtpm3PGV29QFv-6562trJ3kjOamwY-u_hzoTf3A__vb3kOXeNbAauC-qZXU5Dch1igy8byjFRy1Qb99cI7XM6CPQp5LLZgLgPzmPhiXPDdaA9PuvzGBF5g7eZJUksa6fkTxihL-NlU0V0fTsNr2pIKao4SlOnUCfOaC91yN-K5PQciEOV9j7XtvF6tCW5GX8tXbaDET4IjhxzjI7Hy8S_Vu2vbnOha8XEVuNvgrNOQqv6_4FURUFJruJVvQY8Pp6qCOgb32QQKc54CLyVI2H3-fbL9HRIv7JGJHSNT35KxLFfiu8B9vvxnerzEoZ_ttVdO1JL7qVv0XICmY3bjKk4cyrQynPpxEIQ1tgjsKs0c6cTnTsBmSEhkIX5a9ra2PeGurkPeWJhnPi60iRXTj_YmTBo1N__Hzu55hW_L337sx7PoFv2dHwOdecg7ZjU2xHh1-4X1BOVWaGYpSjugaMtmMB3S5M1Ci1l0C6ofl_CFcyxQc2Jvp0jGPgFgag2iOZ47-XF5bQva8s-b34j32Rs1QITxDER99SFHinxXwrRHHMvME13tk6oxmpSWJijHU6pMxxhmDbFDtg8CPxIy8018xErn_SFt8ryvEPZVPJ-OHlpZQ9WQVvGFP8ova3R5LO_apYirJUpzFkOO7yl_j_BvsRLNR39TWIvPWEeLR1qWTCYeojXrBiMnENu3A0x95J5IeZ5VsGGir5MjPCHsMVSoQ68pp_mq13vFxFYS-xC0ImNlIARyvzyAXaFRqtZeV1uqsVGaWgERijq6pF3aRCwgJn72FZVyDu8vtbTGmnbD0PEPKepYkvHvClqkj8II5RsUntxBtTgx3sch99ileAQX4h0m5HqxS3StUAdcdCw71MqSIpRVj6Oy9nTc-MMLBlETW3kn3Cq_zh3Pxfld4E3LmkbkKju5A3e3bC31V2eIW5F2hbxk2GH8XlTy28wMpCzsyDT0PlNjRvM-_dIRPZM4XXMoICsu62VGbNFkEvVD4OBWUduwk2x3kKSDW3mL9KbV62eGpN-ylzI9_LNgU6NMONhuFqDAkC_VsU0qqNzb5N3_U99diYJcT2FRAl-uXVjNwehcvWvPDHEBTJKHyNtDJVmtP68UVdpQbe9nUqy6fME-4YDFLPhcOzb4-AOhXWf3zf31oRea7kqa99mNNu2UTcPEgu2WQglyr5TUqZw0ATyCpR6-FRvhhHiqelHNwlXEonBkjyNj9q06-GGsbcIIr02LZCkaTUDBxk1ypljxesMb44dXJ_XN0hXs3Mm2_TZk-0cFaxvSLe25M2BYC19mb44GLXyw0ZM6eFrzgEHc7Q-O2hjkG9I_4xq27L4h0BxRGt_MdIO7yKjLE0JsXFpgFFtIX6rs8HVx0LzUIRgvshtKXR2c5J-e4EIFAxbBoxJ20bHFlUHE0\",\"summary\":[]}"},{"type":"text","text":"Stopped at **Step 5**.\n\n**Completed:**\n- Qwen3.5-9B Q5_K_M downloaded:\n - `/home/rurouni/models/qwen3.5-9b/Qwen3.5-9B-Q5_K_M.gguf`\n - Size: **6.2G**\n- Old port 8081 was freed.\n- `llama-local.service` was installed and started.\n- Logs show:\n - `main: model loaded`\n - `server is listening on http://127.0.0.1:8081`\n\n**VRAM check: OK**\n- GPU: GTX 1080 Ti\n- VRAM used: **8925 MiB / 11264 MiB**\n- Under the 10.5GB stop threshold.\n\n**Issue / blocker: local chat test did not return `LOCAL OK`**\nThe endpoint responds, but Qwen is stuck emitting only `reasoning_content` and hits `max_tokens` before producing normal `content`.\n\nFirst test returned:\n\n```json\n\"content\": \"\",\n\"reasoning_content\": \"Thinking Process:\\n\\n1. **Analyze\"\n```\n\nRetry with `/no_think` also returned empty `content` and only reasoning text.\n\nImportant note: service is using `--parallel 2`, so llama split context into:\n\n- slot 0: `n_ctx = 32768`\n- slot 1: `n_ctx = 32768`\n\nSo requests get **32k context each**, not 65k.\n\nI have **not continued to OpenRouter/OpenClaw config steps** because Step 5 verification failed.","textSignature":"{\"v\":1,\"id\":\"msg_031e70393029e1c10169f7d1e3ccd48196a1d78c8cbdb2f126\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":1056,"output":435,"cacheRead":26624,"cacheWrite":0,"totalTokens":28115,"cost":{"input":0.005280000000000001,"output":0.01305,"cacheRead":0.013312,"cacheWrite":0,"total":0.031642}},"stopReason":"stop","timestamp":1777848799782,"responseId":"resp_031e70393029e1c10169f7d1e01d68819695d1dbc2ff78c4cd"}}