{"conversation_id":"7e5f9919-ddb8-4f85-88e8-51f9679866db","status":"SUCCESS","response":"已编写好 Python 脚本 [`transcribe.py`](file:///private/var/folders/b8/9nrsfrx96g92cbmkrf8jb3lw0000gn/T/aib21_B2_7y8bjgde/transcribe.py) 并成功执行批量转写。\n\n### 完成的工作\n\n1. **环境准备**：\n   - 检查并使用 `uv venv` 创建了虚拟环境 `.venv`。\n   - 激活虚拟环境后使用 `uv pip install requests` 安装依赖，并生成了 [`requirements.txt`](file:///private/var/folders/b8/9nrsfrx96g92cbmkrf8jb3lw0000gn/T/aib21_B2_7y8bjgde/requirements.txt)。\n\n2. **脚本实现** ([`transcribe.py`](file:///private/var/folders/b8/9nrsfrx96g92cbmkrf8jb3lw0000gn/T/aib21_B2_7y8bjgde/transcribe.py))：\n   - 从环境变量 `AI_BUILDER_TOKEN` 中读取 API Key（不硬编码、不打印、不写入任何文件）。\n   - 调用 AI Builder Space 语音识别接口（`https://space.ai-builders.com/backend/v1/audio/grok-transcription`）。\n   - 遍历 `memos/` 目录下的音频文件，并将转写后的文本分别写入 `transcripts/` 目录对应的 `.txt` 文件。\n\n3. **执行结果**：\n   已处理完成全部 5 个语音备忘录：\n   - `memos/I01.wav` $\\rightarrow$ [`transcripts/I01.txt`](file:///private/var/folders/b8/9nrsfrx96g92cbmkrf8jb3lw0000gn/T/aib21_B2_7y8bjgde/transcripts/I01.txt)\n   - `memos/L01.wav` $\\rightarrow$ [`transcripts/L01.txt`](file:///private/var/folders/b8/9nrsfrx96g92cbmkrf8jb3lw0000gn/T/aib21_B2_7y8bjgde/transcripts/L01.txt)\n   - `memos/W01.wav` $\\rightarrow$ [`transcripts/W01.txt`](file:///private/var/folders/b8/9nrsfrx96g92cbmkrf8jb3lw0000gn/T/aib21_B2_7y8bjgde/transcripts/W01.txt)\n   - `memos/W02.wav` $\\rightarrow$ [`transcripts/W02.txt`](file:///private/var/folders/b8/9nrsfrx96g92cbmkrf8jb3lw0000gn/T/aib21_B2_7y8bjgde/transcripts/W02.txt)\n   - `memos/W05.wav` $\\rightarrow$ [`transcripts/W05.txt`](file:///private/var/folders/b8/9nrsfrx96g92cbmkrf8jb3lw0000gn/T/aib21_B2_7y8bjgde/transcripts/W05.txt)\n","duration_seconds":104.201097,"num_turns":1,"usage":{"input_tokens":145542,"output_tokens":11045,"thinking_tokens":5870,"cache_read_tokens":507375,"total_tokens":156587}}