feat: LLM/Embedding 重试次数纳入 system.yaml 统一配置

- system.yaml: llm.max_retries(死配置) 改为 llm.max_attempts；embedding 段新增 max_attempts
- llm/client.py: LLMConfig 新增 max_attempts（默认 3 兜底），load_llm_config 读取配置
- llm/extractor.py: translate_and_extract(_async) max_attempts=None 时取 config.max_attempts
- embedding/client.py: load_embedding_config 读取 embedding.max_attempts
- scheduler/reporter.py: _call_llm_simple max_retries=None 时取 max_attempts-1
- 新增 2 个配置读取测试；已同步 pi5 验证

embedding/client.py

@@ -92,6 +92,7 @@ def load_embedding_config(
     dimension = int(sys_cfg.get("dimension", DASHSCOPE_DEFAULT_DIM))
     batch_size = min(int(sys_cfg.get("batch_size", DASHSCOPE_BATCH_LIMIT)), DASHSCOPE_BATCH_LIMIT)
     timeout = float(sys_cfg.get("timeout_sec", 30.0))
+    max_attempts = int(sys_cfg.get("max_attempts", DEFAULT_MAX_ATTEMPTS))
 
     if not api_key:
         raise EmbeddingError("DASHSCOPE_API_KEY 未配置，请检查 .env")
@@ -104,6 +105,7 @@ def load_embedding_config(
         dimension=dimension,
         batch_size=batch_size,
         timeout_sec=timeout,
+        max_attempts=max_attempts,
     )