File size: 2,510 Bytes
ddf3417 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 | #!/usr/bin/env python3
"""Replay the 210 recorded raw-token requests. Set NEURONPEDIA_API_KEY to capture.
No tokenizer download is needed: data/prompts.jsonl contains the original input IDs.
Dry run validates requests without contacting the service. The service may evolve;
offline scoring of saved responses is the exact reproduction path.
"""
import argparse
import json
import os
from pathlib import Path
import time
import urllib.request
ROOT = Path(__file__).resolve().parents[1]
ENDPOINT = 'https://www.neuronpedia.org/api/lens/prompt'
def main():
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument('--out', type=Path, default=ROOT / 'evidence/v2_api/raw_A')
parser.add_argument('--limit', type=int)
parser.add_argument('--dry-run', action='store_true')
args = parser.parse_args()
prompts = [json.loads(line) for line in (ROOT / 'data/prompts.jsonl').read_text().splitlines()]
if args.limit is not None:
if args.limit < 1:
parser.error('limit must be positive')
prompts = prompts[:args.limit]
key = os.environ.get('NEURONPEDIA_API_KEY')
if not args.dry_run and not key:
parser.error('NEURONPEDIA_API_KEY is required for a live capture')
if not args.dry_run:
args.out.mkdir(parents=True, exist_ok=True)
for prompt in prompts:
body = dict(modelId='qwen3.6-27b', inputTokenIds=prompt['input_ids'],
type=['JACOBIAN_LENS'], topN=8, temperature=0, numCompletionTokens=0,
filterNonWordTokens=False, stream=False, enableThinking=False, prependBos=True)
if args.dry_run:
continue
name = f"{prompt['set']}_{prompt['name']}_{prompt['variant']}.json"
path = args.out / name
if path.exists():
continue
request = urllib.request.Request(ENDPOINT, data=json.dumps(body).encode(),
headers={'Content-Type': 'application/json', 'x-api-key': key}, method='POST')
with urllib.request.urlopen(request, timeout=180) as response:
result = json.load(response)
if not result.get('tokens'):
raise RuntimeError('Response contains no tokens; capture stopped')
result['_item'] = prompt
path.write_text(json.dumps(result, ensure_ascii=False) + '\n')
print('Captured', name, flush=True)
time.sleep(0.8)
print('Validated' if args.dry_run else 'Completed', len(prompts), 'requests')
if __name__ == '__main__':
main()
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