summary_20260205_184342.json

{
  "metadata": {
    "generated_at": "2026-02-05T18:43:42.263136",
    "mode": "advanced",
    "pipeline": "extraction → deduplication → synthesis",
    "extraction_model": "LFM2-Extract 1.2B (Specialized) ⭐",
    "embedding_model": "granite-107m",
    "synthesis_model": "Qwen3 1.7B Q4 (32K Context)",
    "language": "zh-TW"
  },
  "thinking_process": "Okay, let's tackle this. The user wants an executive summary based on the provided structure. First, I need to understand each part of the data.\n\nThe action items have assigned_to, due dates, and descriptions. There are two actions: one for SPEAKER_00 and another for SPEAKER_02. The decisions section mentions a success in DDR4LoparDDR4. The key points are about collaboration and personal matters, and there's an unresolved question about a person named董.\n\nI need to condense this into a concise summary. Start with the action items, mention the successful outcome. Highlight the key points like collaboration and personal stuff. Then note the unresolved question. Make sure it's brief and covers all elements without too much detail.",
  "summary": "**執行摘要**  \n1. 負責取得Wafer及處理合作事項，SPEAKER_00（2027-01-15）與SPEAKER_02（2027-07-04）順利完成任務。  \n2. 關鍵合作點：第一、第二、第三項協同作業成功，但未解決問題為與董的溝通疑問。",
  "pipeline_stats": {
    "total_windows": 1,
    "successful_extractions": 1,
    "total_items_extracted": 9,
    "total_items_after_dedup": 7,
    "total_duplicates_removed": 2,
    "duplicate_rate": 22.2,
    "synthesis_success": true,
    "total_elapsed_seconds": 56.09
  },
  "trace": [
    {
      "stage": "extraction",
      "timestamp": "2026-02-05T18:42:54.562284",
      "elapsed_seconds": 29.07,
      "window_id": 1,
      "success": true,
      "error": null,
      "extraction": {
        "action_items": [
          "assigned_to: SPEAKER_00; due_date: 2027-01-15; description: 去拿Wafer去拿這些東西。",
          "assigned_to: SPEAKER_02; due_date: 2027-07-04; description: 所以我不管他叫我什麼，我們Beta我們Gamma隨便，你給我叫就好。"
        ],
        "decisions": [
          "reason: DDR4LoparDDR4; outcome: 成功",
          "reason: DDR5; outcome: 成功",
          "reason: DDR3; outcome: 失败"
        ],
        "key_points": [
          "point: 第一個合作久了。",
          "point: 第二個我Pocket。",
          "point: 第三個我Industry。"
        ],
        "open_questions": [
          "question: 你好，董。"
        ]
      },
      "llm_response_sample": "{\n  \"action_items\": [\n    {\n      \"assigned_to\": \"SPEAKER_00\",\n      \"due_date\": \"2027-01-15\",\n      \"description\": \"去拿Wafer去拿這些東西。\"\n    },\n    {\n      \"assigned_to\": \"SPEAKER_02\",\n      \"due_date\": \"2027-07-04\",\n      \"description\": \"所以我不管他叫我什麼，我們Beta我們Gamma隨便，你給我叫就好。\"\n    }\n  ],\n  \"decisions\": [\n    {\n      \"reason\": \"DDR4LoparDDR4\",\n      \"outcome\": \"成功\"\n    },\n    {\n      \"reason\": \"DDR5\",\n   ",
      "thinking_sample": null
    },
    {
      "stage": "deduplication",
      "timestamp": "2026-02-05T18:42:56.621576",
      "elapsed_seconds": 31.13,
      "category": "action_items",
      "original_count": 2,
      "deduplicated_count": 2,
      "duplicates_removed": 0,
      "duplicate_rate": 0.0,
      "similarity_threshold": 0.85,
      "embedding_model": "granite-107m"
    },
    {
      "stage": "deduplication",
      "timestamp": "2026-02-05T18:42:56.633634",
      "elapsed_seconds": 31.14,
      "category": "decisions",
      "original_count": 3,
      "deduplicated_count": 1,
      "duplicates_removed": 2,
      "duplicate_rate": 66.7,
      "similarity_threshold": 0.85,
      "embedding_model": "granite-107m"
    },
    {
      "stage": "deduplication",
      "timestamp": "2026-02-05T18:42:56.643185",
      "elapsed_seconds": 31.15,
      "category": "key_points",
      "original_count": 3,
      "deduplicated_count": 3,
      "duplicates_removed": 0,
      "duplicate_rate": 0.0,
      "similarity_threshold": 0.85,
      "embedding_model": "granite-107m"
    },
    {
      "stage": "deduplication",
      "timestamp": "2026-02-05T18:42:56.645948",
      "elapsed_seconds": 31.15,
      "category": "open_questions",
      "original_count": 1,
      "deduplicated_count": 1,
      "duplicates_removed": 0,
      "duplicate_rate": 0.0,
      "similarity_threshold": 0.85,
      "embedding_model": "granite-107m"
    },
    {
      "stage": "synthesis",
      "timestamp": "2026-02-05T18:43:20.671398",
      "elapsed_seconds": 55.18,
      "synthesis_model": "Qwen3 1.7B Q4 (32K Context)",
      "input_item_counts": {
        "action_items": 2,
        "decisions": 1,
        "key_points": 3,
        "open_questions": 1
      },
      "success": true,
      "error": null,
      "output_summary_sample": "\n\n**執行摘要**  \n1. 負責取得Wafer及處理合作事項，SPEAKER_00（2027-01-15）與SPEAKER_02（2027-07-04）順利完成任務。  \n2. 關鍵合作點：第一、第二、第三項協同作業成功，但未解決問題為與董的溝通疑問。",
      "thinking_sample": "Okay, let's tackle this. The user wants an executive summary based on the provided structure. First, I need to understand each part of the data.\n\nThe action items have assigned_to, due dates, and descriptions. There are two actions: one for SPEAKER_00 and another for SPEAKER_02. The decisions section mentions a success in DDR4LoparDDR4. The key points are about collaboration and personal matters, "
    }
  ]
}