{
"event": "PreToolUse",
"tool_name": "Bash",
"tool_input": {
"command": ".\/venv\/bin\/python -c \"\nimport requests\nfrom db import db\n\ndb.connect()\ncursor = db.execute('SELECT content FROM chunks WHERE id = 12')\nchunk = cursor.fetchone()\ncursor.close()\n\ncontent = chunk['content']\nprint(f'Testing chunk 12: {len(content)} chars')\nprint(f'Preview: {content[:100]}...')\n\nresponse = requests.post(\n 'http:\/\/localhost:11434\/api\/embeddings',\n json={'model': 'mxbai-embed-large', 'prompt': content},\n timeout=60\n)\n\nprint(f'Status: {response.status_code}')\nif response.status_code != 200:\n print(f'Error: {response.text}')\nelse:\n data = response.json()\n if 'embedding' in data:\n print(f'Embedding: {len(data[\\\"embedding\\\"])} dim')\n else:\n print(f'Response: {data}')\n\ndb.disconnect()\n\"",
"description": "Debug chunk 12 embedding"
}
}
{
"tool_response": {
"stdout": "Testing chunk 12: 958 chars\nPreview: DÜRFEN WIR VORSTELLEN – COACHING IN ABGRENZUNG ZUR \nPSYCHOTHERAPIE\n1.\t Rechtliche Grundlagen von C...\nStatus: 500\nError: {\"error\":\"the input length exceeds the context length\"}",
"stderr": "",
"interrupted": false,
"isImage": false
}
}