{
"event": "PreToolUse",
"tool_name": "Bash",
"tool_input": {
"command": ".\/venv\/bin\/python -c \"\nfrom db import db\ndb.connect()\ncursor = db.execute('SELECT content FROM chunks WHERE id = 8')\nchunk = cursor.fetchone()\ncontent = chunk['content']\n\n# Grobe Token-Schätzung: 1 Token ≈ 4 Zeichen für Deutsch\nprint(f'Chars: {len(content)}')\nprint(f'Words: {len(content.split())}')\nprint(f'Estimated tokens: ~{len(content)\/\/4}')\n\n# Test mit verschiedenen Längen\nimport requests\nfor length in [100, 200, 400, 600, 800, 1000, 1200, 1400, 1600, 1787]:\n test_text = content[:length]\n resp = requests.post(\n 'http:\/\/localhost:11434\/api\/embeddings',\n json={'model': 'mxbai-embed-8k', 'prompt': test_text},\n timeout=60\n )\n status = '✓' if resp.status_code == 200 else '✗'\n print(f'{length:4d} chars: {status}')\n if resp.status_code != 200:\n break\n\ndb.disconnect()\n\"",
"description": "Find max length threshold"
}
}
{
"tool_response": {
"stdout": "Chars: 1787\nWords: 264\nEstimated tokens: ~446\n 100 chars: ✓\n 200 chars: ✓\n 400 chars: ✓\n 600 chars: ✓\n 800 chars: ✓\n1000 chars: ✓\n1200 chars: ✓\n1400 chars: ✓\n1600 chars: ✓\n1787 chars: ✗",
"stderr": "",
"interrupted": false,
"isImage": false
}
}