{
"event": "PreToolUse",
"tool_name": "Read",
"tool_input": {
"file_path": "\/var\/www\/mcp-servers\/mcp-tasks\/domain\/contracts.py",
"offset": 70,
"limit": 20
}
}
{
"tool_response": {
"type": "text",
"file": {
"filePath": "\/var\/www\/scripts\/pipeline\/vision.py",
"content": " page = pages[page_num - 1]\n print(f\"Analyzing page {page_num} ({page['size_kb']:.1f} KB)...\")\n\n result = analyze_image_ollama(page[\"image_bytes\"])\n\n if result[\"success\"]:\n print(f\"\\n{'=' * 60}\")\n print(f\"Page {page_num} Analysis\")\n print(f\"{'=' * 60}\")\n print(result[\"analysis\"])\n print(f\"\\n[Tokens: {result.get('eval_count', 0)}, Time: {result.get('eval_duration_ms', 0):.0f}ms]\")\n else:\n print(f\"Error: {result['error']}\")\n else:\n # Analyze entire document\n print(f\"Analyzing document: {file_path}\")\n results = analyze_document(file_path, store_images=True)\n\n print(f\"\\n{'=' * 60}\")\n print(\"Document Analysis Summary\")\n print(f\"{'=' * 60}\")\n\n for r in results:\n status = \"✓\" if r[\"analysis\"] else \"✗\"\n print(f\"Page {r['page_number']}: {status} ({r['size_kb']:.1f} KB, {r['eval_tokens']} tokens)\")\n\n successful = sum(1 for r in results if r[\"analysis\"])\n print(f\"\\nTotal: {successful}\/{len(results)} pages analyzed\")\n\n finally:",
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}
}
}