gpt-5.6-sol
nano-gpt-data-curation — graded by the task's verifier against a measured baseline.
- backend
- modal
- variant
- codex azure_ai/gpt-5.6-sol
- metric
- held-out multi-domain perplexity
- actions
- 122
- duration
- 31m
- recorded
- 2026-08-03
run iddclm-nano-curation__UpMAMLW
Everything gpt-5.6-sol did on this task, in order.
download JSON ↗encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({\"cmd\":\"ps -o pid,etime,pcpu,rss,cmd -p 620; ls submission\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":1000}); text(r.output)\n"
}exec result
Script completed
Wall time 0.1 seconds
Output:
PID ELAPSED %CPU RSS CMD
620 02:30 93.3 51224 python submission/curate.py
curate.py
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({\"cmd\":\"while kill -0 620 2>/dev/null; do sleep 10; done; ls -lh submission/selection.json\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":1000}); text(r.output)\n"
}exec result
Script running with cell ID 20
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "20",
"yield_time_ms": 30000,
"max_tokens": 1000
}wait result
Script completed
Wall time 11.2 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({\"cmd\":\"ps -o pid,etime,pcpu -p 620; ls -lh submission\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":1000}); text(r.output)\n"
}exec result
Script completed
Wall time 0.1 seconds
Output:
PID ELAPSED %CPU
620 03:06 93.3
total 6.5K
-rw-r--r-- 1 root root 6.1K Aug 3 23:28 curate.py
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({\"cmd\":\"kill 620 2>/dev/null || true\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":1000}); text(r.output)\n"
}exec result
Script completed
Wall time 0.1 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const patch = \"*** Begin Patch\\n*** Update File: /workspace/submission/curate.py\\n@@\\n- s = text.replace(\\\"<|endoftext|>\\\", \\\" \\\")\\n+ # 30k characters are ample to judge a page and bound runtime on giant dumps.\\n+ s = text[:30000].replace(\\\"<|endoftext|>\\\", \\\" \\\")\\n@@\\n- alpha = sum(c.isalpha() for c in s) / n\\n- printable = sum(c.isprintable() or c in \\\"\\\\n\\\\t\\\" for c in s) / n\\n+ raw = s.encode(\\\"utf-8\\\", \\\"ignore\\\")\\n+ alpha = len(re.sub(rb\\\"[^A-Za-z]\\\", b\\\"\\\", raw)) / n\\n+ printable = 1.0 - s.count(\\\"\\\\ufffd\\\") / n\\n@@\\n- weird = sum(c in \\\"{}[]|<>\\\" for c in s) / n\\n- digit = sum(c.isdigit() for c in s) / n\\n+ weird = sum(s.count(c) for c in \\\"{}[]|<>\\\") / n\\n+ digit = sum(s.count(c) for c in \\\"0123456789\\\") / n\\n*** End Patch\";\nconst result = await tools.apply_patch(patch); text(result);\n"
}exec result
Script completed
Wall time 0.0 seconds
Output:
{}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({\"cmd\":\"python -u submission/curate.py\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":3000}); text(r.output); if(r.session_id) text(`SESSION_ID=${r.session_id}`);\n"
}exec result
Script running with cell ID 24
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({\"cmd\":\"ps -eo pid,etime,pcpu,cmd | rg 'python -u submission/curate.py' || true; ls -lh submission\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":1000}); text(r.output)\n"
}exec result
Script completed
Wall time 0.1 seconds
Output:
1041 00:21 92.1 python -u submission/curate.py
1082 00:00 0.0 /bin/bash -c ps -eo pid,etime,pcpu,cmd | rg 'python -u submission/curate.py' || true; ls -lh submission
1084 00:00 0.0 rg python -u submission/curate.py
total 6.5K
-rw-r--r-- 1 root root 6.2K Aug 3 23:31 curate.py
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({\"cmd\":\"while kill -0 1041 2>/dev/null; do sleep 5; done; ls -lh submission/selection.json\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":1000}); text(r.output)\n"
}exec result
Script running with cell ID 26
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "26",
"yield_time_ms": 30000,
"max_tokens": 1000
}wait result
Script completed
Wall time 10.3 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({\"cmd\":\"ps -o pid,etime,pcpu -p 1041; ls -lh submission; cat .timer/remaining_secs\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":1000}); text(r.output)\n"
}exec result
Script completed
Wall time 0.1 seconds
Output:
PID ELAPSED %CPU
1041 01:02 93.4
total 6.5K
-rw-r--r-- 1 root root 6.2K Aug 3 23:31 curate.py
4989
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({\"cmd\":\"while kill -0 1041 2>/dev/null; do sleep 10; done; ls -lh submission/selection.json\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":1000}); text(r.output)\n"
}exec result
Script running with cell ID 28
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "28",
"yield_time_ms": 30000,
"max_tokens": 1000
}wait result
Script completed
Wall time 16.7 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({\"cmd\":\"ps -o pid,etime,pcpu -p 1041; ls -lh submission\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":1000}); text(r.output)\n"
}exec result
Script completed
Wall time 0.1 seconds
Output:
PID ELAPSED %CPU
1041 01:46 93.5
total 6.5K
-rw-r--r-- 1 root root 6.2K Aug 3 23:31 curate.py
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({\"cmd\":\"while kill -0 1041 2>/dev/null; do sleep 10; done; ls -lh submission/selection.json\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":1000}); text(r.output)\n"
}exec result
Script running with cell ID 30
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "30",
"yield_time_ms": 30000,
"max_tokens": 1000
}wait result
Script completed
Wall time 16.3 seconds
Output:
-rw-r--r-- 1 root root 311K Aug 3 23:33 submission/selection.json
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({\"cmd\":\"python pack_selection.py submission/selection.json /tmp/cand1.npy\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":2000}); text(r.output)\n"
}exec result
Script running with cell ID 31
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({\"cmd\":\"ps -eo pid,etime,pcpu,cmd | rg 'pack_selection.py' || true; python - <<'PY'\\nimport json,re\\nids=json.load(open('submission/selection.json')); want=set(ids[:30]); D={}\\nfor l in open('data/pool.jsonl'):\\n o=json.loads(l)\\n if o['id'] in want:D[o['id']]=o['text']\\nfor i in ids[:24]: print(i, len(D[i]), re.sub(r'\\\\s+',' ',D[i][:170]).encode('ascii','replace').decode())\\nPY\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":7000}); text(r.output)\n"
}exec result
Script completed
Wall time 3.1 seconds
Output:
1312 00:15 103 python pack_selection.py submission/selection.json /tmp/cand1.npy
1348 00:00 0.0 /bin/bash -c ps -eo pid,etime,pcpu,cmd | rg 'pack_selection.py' || true; python - <<'PY' import json,re ids=json.load(open('submission/selection.json')); want=set(ids[:30]); D={} for l in open('data/pool.jsonl'): o=json.loads(l) if o['id'] in want:D[o['id']]=o['text'] for i in ids[:24]: print(i, len(D[i]), re.sub(r'\s+',' ',D[i][:170]).encode('ascii','replace').decode()) PY
1350 00:00 0.0 rg pack_selection.py
88144 63911 The Vault Much of the following text comes from the timeline in Fallout Bible 0, written by Chris Avellone. Much of the information in Avellone's timeline comes from the
18404 32857 Since I was in about second grade, I have been an obsessive reader and writer. I have spent many hours reading books late into the night because I just couldn't put them
78016 47955 tv Democracy Now PBS June 7, 2017 12:00pm-1:01pm PDT 06/07/17 06/07/17 [captioning made possible by democracy now!] amy: from pacifica, this is democracy now! isis is cla
11593 27499 Cost benefits of the security and systems management of electronic publishing Internet Web server subscription services and e-commerce. This study deals with a perceived
33023 84502 Paleo-Indians migrated from Eurasia to what is now the U.S. mainland at least 15,000 years ago, with European colonization beginning in the 16th century. The United State
76472 25282 Iran deal was a landmark of former President Barack Obama?s administration, but three Democrats in Palm Beach County?s U.S. House delegation ? Reps. Alcee Hastings of De
106814 44468 on a Sunday when we celebrate the Lord's birth, I redirect myself away from whatever series we're doing and give a special Christmas message, but there were many who pre
95076 44113 <|endoftext|>|download that your file may only be then on our residue. If you are this cas is secret or is the CNET's global services of permission, you can eliminate it
55592 23712 <|endoftext|>Also found in: Dictionary, Thesaurus, Medical, Legal, Wikipedia. ethology,study of animal behavior based on the systematic observation, recording, and analys
54906 49862 ests: Steve McMahon, Todd Harris, John Harris, Admiral Thad Allen, Ed Overton CHRIS MATTHEWS, HOST: President Obama takes responsibility. Let?s play HARDBALL. Good evenin
49605 27267 <|endoftext|>This article considers the interpretation of Jeremiah 7:22. This chronicle draws attention to a number of significant and important studies that have appeare
54683 51135 to the inauguration of Barack Obama as President of the United States, today's episode of The Young and the Restless was preempted. There will be no "lost" episodes as a
67173 35224 out our PDF converter, your best option of smart document converters! Great adobe pdf password remover online How to remove a PDF password in 3 easy steps | Adobe Acroba
92890 63207 <|endoftext|>Location and General Description The westernmost landmass of the ecoregion is represented by the Prince Edward Island group (hereafter the PEI). The two isla
69763 21145 Change doesn't have to wait until January. Sen. Ted Stevens, R-Alaska, is gone. (A sign of a new day.) Rep. John Dingell, D-Mich., is gone, partly, too. (A sign of a new
61304 25422 five different species of kiwi, all of which are flightless and unique to New Zealand. The kiwis at the National Zoo are North Island brown kiwis, the only kiwi species
46360 21869 core design pattern for building scalable distributed real-time systemsEditor?s Note: Rajive Joshi of RTI describes how to use the OMG Data Distribution Service (DDS) st
106974 15154 an, also written as Khurasan (Middle Persian: Khwar?s?n, Persian: ?????? ???? or ?????? ??? listen (help?info)), is a historical region lying in the northeast of Persia.
108372 31084 <|endoftext|>In the course of interviewing young congregants at the Atlanta area mega-church pastored by Bishop Eddie Long, CNN anchor Don Lemon disclosed on a live newsc
86652 36435 Travel Guides: Germany Germany is a central-western country that is surrounded by North Sea, Denmark and the Baltic Sea in the north, Poland and Czech Republic in east, A
110847 29317 ?You don?t forget your youth and you can feed off it for a very long time. Forever.?Bryan Ferry I was born in the year of the Tiger, under the star sign Leo, so it should
79372 24710 They must hold based this from tools just in the Guests of the download pp., who would use sciences and not find applications at the boards who acquired to be the textboo
52551 38999 Return to Transcripts main page President Trump Holds Campaign Rally In North Carolina; President Trump Attacking Election Eight Weeks Before Votes Are Cast; President Tr
83619 22117 <|endoftext|>Up-Front Management of Multiple Myeloma Up-Front Management of Multiple Myeloma The management of multiple myeloma (MM) has undergone rapid change with the r
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({\"cmd\":\"while pgrep -f '^python pack_selection.py submission/selection.json /tmp/cand1.npy$' >/dev/null; do sleep 5; done; ls -lh /tmp/cand1.npy; python train_nano.py --train_npy /tmp/cand1.npy --heldout_npy data/multi_dev.npy --out_json /tmp/cand1.json --max_iters 3000 --seed 1337\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":2000}); text(r.output)\n"
}exec result
Script running with cell ID 33
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({\"cmd\":\"ps -eo pid,etime,pcpu,cmd | rg 'pack_selection|train_nano' || true; ls -lh /tmp/cand1.npy 2>/dev/null; cat .timer/remaining_secs\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":1000}); text(r.output)\n"
}exec result
Script completed
Wall time 0.1 seconds
Output:
Warning: truncated output (original token count: 6170)
Total output lines: 9
190 08:50 0.0 bash -c rm -f /tmp/ri-exec-f21a129984394d2e946fa1a3f3cf2834.pid setsid bash -c 'set -o pipefail; export PATH="$HOME/.local/bin:/usr/local/bin:$PATH" if [ -s ~/.nvm/nvm.sh ]; then . ~/.nvm/nvm.sh; fi OUT=/logs/agent/codex.txt mkdir -p "$(dirname "$OUT")" : > "$OUT" ATT="$(mktemp /tmp/codex-attempt.XXXXXX)" trap '"'"'rm -f "$ATT"'"'"' EXIT read_remaining() { local r="" if [ -r /workspace/.timer/remaining_secs ]; then r="$(cat /workspace/.timer/remaining_secs 2>/dev/null)" fi if ! [ "$r" -ge 0 ] 2>/dev/null; then r="${TASK_BUDGET_SECS:-}"; fi if ! [ "$r" -ge 0 ] 2>/dev/null; then r=86400; fi echo "$r" } MIN_REM=90 MAX_RESUMES=15 BASE=20 CAP=240 JIT=25 N=0 rc=1 while : ; do REM="$(read_remaining)" if [ "$REM" -le "$MIN_REM" ] 2>/dev/null; then echo "=== codex: budget exhausted (remaining=${REM}s); stopping ===" | tee -a "$OUT" break fi : > "$ATT" if [ "$N" -eq 0 ]; then codex exec --dangerously-bypass-approvals-and-sandbox --skip-git-repo-check --model azure_ai/gpt-5.6-sol --json --enable unified_exec -c model_reasoning_effort=high -c model_reasoning_effort=medium -c request_max_retries=12 -c stream_max_retries=12 -c stream_idle_timeout_ms=600000 -- '"'"'# Task: Curate a raw web corpus to train the best small language model ## Context You are assembling the pretraining data for a small language model. You have a large pool of **raw web documents** at `/workspace/data/pool.jsonl` — one JSON object per line: `{"id": <int>, "text": "..."}`. The documents are unlabeled. The pool holds **182,016 documents (~200M GPT-2 tokens total)**. Compute is fixed: the model is trained on a **fixed budget of 12,000,000 tokens** — only ~6% of the pool, far smaller than the whole thing. So you cannot train on everything: you must decide *which* documents are worth training on. The training pipeline tokenizes your selection (GPT-2 BPE) in priority order and stops once it has accumulated 12M tokens. ## Goal Curate the po…5170 tokens truncated…et. - No internet. The pool's documents are freshly assembled; you cannot look up any quality labels — any quality signal must come from your own analysis. ## How you are scored Official: your selection fills the fixed token budget, the frozen script trains the 30M GPT from scratch, and the verifier measures the **absolute held-out perplexity on the hidden high-quality target** (a different sample from the disclosed domain than the dev set). That perplexity is your score. **Lower is better** — the goal is simply to push held-out perplexity as low as you can. The verifier reports the raw perplexity and does no normalization. For reference and for a separate downstream normalization step, the benchmark records two fixed anchors: a **baseline** of held-out perplexity from a random selection (the do-nothing reference), and a **theoretical best** of perplexity 1 (the perplexity floor, unreachable in practice). Aim to get your held-out perplexity well below the random baseline. ## Constraints - `selection.json` must be produced by `curate.py` from a stated criterion; an opaque hand-picked id list fails the publishability check even if it scores well. - A selection with duplicate or out-of-range ids, or too few tokens to fill the budget, is marked invalid (no score recorded) and excluded from ranking, so it can't win and doesn't distort averages.
1312 00:38 98.7 python pack_selection.py submission/selection.json /tmp/cand1.npy
1364 00:14 0.4 /bin/bash -c while pgrep -f '^python pack_selection.py submission/selection.json /tmp/cand1.npy$' >/dev/null; do sleep 5; done; ls -lh /tmp/cand1.npy; python train_nano.py --train_npy /tmp/cand1.npy --heldout_npy data/multi_dev.npy --out_json /tmp/cand1.json --max_iters 3000 --seed 1337
1389 00:00 0.0 /bin/bash -c ps -eo pid,etime,pcpu,cmd | rg 'pack_selection|train_nano' || true; ls -lh /tmp/cand1.npy 2>/dev/null; cat .timer/remaining_secs
1391 00:00 0.0 rg pack_selection|train_nano
4869
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({\"cmd\":\"while kill -0 1312 2>/dev/null; do sleep 10; done; echo packed\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":1000}); text(r.output)\n"
}exec result
Script completed
Wall time 10.1 seconds
Output:
packed
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({\"cmd\":\"ps -eo pid,etime,pcpu,cmd | rg 'train_nano' || true; ls -lh /tmp/cand1.npy\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":1000}); text(r.output)\n"
}exec result
Script completed
Wall time 0.1 seconds
Output:
Warning: truncated output (original token count: 6105)
Total output lines: 8
190 09:09 0.0 bash -c rm -f /tmp/ri-exec-f21a129984394d2e946fa1a3f3cf2834.pid setsid bash -c 'set -o pipefail; export PATH="$HOME/.local/bin:/usr/local/bin:$PATH" if [ -s ~/.nvm/nvm.sh ]; then . ~/.nvm/nvm.sh; fi OUT=/logs/agent/codex.txt mkdir -p "$(dirname "$OUT")" : > "$OUT" ATT="$(mktemp /tmp/codex-attempt.XXXXXX)" trap '"'"'rm -f "$ATT"'"'"' EXIT read_remaining() { local r="" if [ -r /workspace/.timer/remaining_secs ]; then r="$(cat /workspace/.timer/remaining_secs 2>/dev/null)" fi if ! [ "$r" -ge 0 ] 2>/dev/null; then r="${TASK_BUDGET_SECS:-}"; fi if ! [ "$r" -ge 0 ] 2>/dev/null; then r=86400; fi echo "$r" } MIN_REM=90 MAX_RESUMES=15 BASE=20 CAP=240 JIT=25 N=0 rc=1 while : ; do REM="$(read_remaining)" if [ "$REM" -le "$MIN_REM" ] 2>/dev/null; then echo "=== codex: budget exhausted (remaining=${REM}s); stopping ===" | tee -a "$OUT" break fi : > "$ATT" if [ "$N" -eq 0 ]; then codex exec --dangerously-bypass-approvals-and-sandbox --skip-git-repo-check --model azure_ai/gpt-5.6-sol --json --enable unified_exec -c model_reasoning_effort=high -c model_reasoning_effort=medium -c request_max_retries=12 -c stream_max_retries=12 -c stream_idle_timeout_ms=600000 -- '"'"'# Task: Curate a raw web corpus to train the best small language model ## Context You are assembling the pretraining data for a small language model. You have a large pool of **raw web documents** at `/workspace/data/pool.jsonl` — one JSON object per line: `{"id": <int>, "text": "..."}`. The documents are unlabeled. The pool holds **182,016 documents (~200M GPT-2 tokens total)**. Compute is fixed: the model is trained on a **fixed budget of 12,000,000 tokens** — only ~6% of the pool, far smaller than the whole thing. So you cannot train on everything: you must decide *which* documents are worth training on. The training pipeline tokenizes your selection (GPT-2 BPE) in priority order and stops once it has accumulated 12M tokens. ## Goal Curate the po…5105 tokens truncated…s, a model, etc.). - Your session ends when the wall-clock budget runs out — check `/workspace/.timer/remaining_secs` at any point for the authoritative time left (don't assume a fixed number of hours). Every training run you do comes out of that budget. - No internet. The pool's documents are freshly assembled; you cannot look up any quality labels — any quality signal must come from your own analysis. ## How you are scored Official: your selection fills the fixed token budget, the frozen script trains the 30M GPT from scratch, and the verifier measures the **absolute held-out perplexity on the hidden high-quality target** (a different sample from the disclosed domain than the dev set). That perplexity is your score. **Lower is better** — the goal is simply to push held-out perplexity as low as you can. The verifier reports the raw perplexity and does no normalization. For reference and for a separate downstream normalization step, the benchmark records two fixed anchors: a **baseline** of held-out perplexity from a random selection (the do-nothing reference), and a **theoretical best** of perplexity 1 (the perplexity floor, unreachable in practice). Aim to get your held-out perplexity well below the random baseline. ## Constraints - `selection.json` must be produced by `curate.py` from a stated criterion; an opaque hand-picked id list fails the publishability check even if it scores well. - A selection with duplicate or out-of-range ids, or too few tokens to fill the budget, is marked invalid (no score recorded) and excluded from ranking, so it can't win and doesn't distort averages.
1364 00:33 28.3 python train_nano.py --train_npy /tmp/cand1.npy --heldout_npy data/multi_dev.npy --out_json /tmp/cand1.json --max_iters 3000 --seed 1337
1453 00:00 0.0 /bin/bash -c ps -eo pid,etime,pcpu,cmd | rg 'train_nano' || true; ls -lh /tmp/cand1.npy
1455 00:00 0.0 rg train_nano
-rw-r--r-- 1 root root 23M Aug 3 23:34 /tmp/cand1.npy
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({\"cmd\":\"while kill -0 1364 2>/dev/null; do sleep 10; done; cat /tmp/cand1.json; cat .timer/remaining_secs\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":1000}); text(r.output)\n"
}exec result
Script running with cell ID 37
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "37",
"yield_time_ms": 30000,
"max_tokens": 1000
}wait result
Script completed
Wall time 16.4 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({\"cmd\":\"ps -o pid,etime,pcpu -p 1364; test -f /tmp/cand1.json && cat /tmp/cand1.json\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":1000}); text(r.output)\n"
}exec result
Script completed
Wall time 0.1 seconds
Output:
PID ELAPSED %CPU
1364 01:16 66.0