feat: 脚本执行显性输出当前阶段与 AI 模型供应商/名称
- pipeline.sh 每阶段 banner(━━━ M4 翻译+事件抽取(AI 大模型: deepseek / deepseek-v4-flash)━━━) - ai_model_info() 从 system.yaml 读取场景模型(translation/daily_report/embedding) - Python 层:M4/M5/日报 显性打印 provider/model(场景标注) - 已同步 pi5 实测:客户端初始化日志含供应商/模型
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@@ -122,6 +122,10 @@ def translate_all_deduped(
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# 初始化 LLM 客户端(translation 场景配置见 system.yaml llm_scenes.translation)
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config = load_llm_config(provider=provider, model=model, scene="translation")
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client = make_sync_client(config)
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logger.info(
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"AI 大模型(场景 translation): provider=%s model=%s",
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config.provider, config.model,
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)
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template = PromptTemplate()
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# 输出目录
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