feat: timer add log args

src/memos/embedders/universal_api.py

@@ -30,7 +30,11 @@ def __init__(self, config: UniversalAPIEmbedderConfig):
         else:
             raise ValueError(f"Embeddings unsupported provider: {self.provider}")
 
-    @timed(log=True, log_prefix="model_timed_embedding")
+    @timed(
+        log=True,
+        log_prefix="model_timed_embedding",
+        log_extra_args={"model_name_or_path": "text-embedding-3-large"},
+    )
     def embed(self, texts: list[str]) -> list[list[float]]:
         if self.provider == "openai" or self.provider == "azure":
             try:

src/memos/llms/openai.py

@@ -28,7 +28,7 @@ def __init__(self, config: OpenAILLMConfig):
         )
         logger.info("OpenAI LLM instance initialized")
 
-    @timed(log=True, log_prefix="OpenAI LLM")
+    @timed(log=True, log_prefix="OpenAI LLM", log_args=["model_name_or_path"])
     def generate(self, messages: MessageList, **kwargs) -> str:
         """Generate a response from OpenAI LLM, optionally overriding generation params."""
         response = self.client.chat.completions.create(

src/memos/reranker/http_bge.py

@@ -119,7 +119,9 @@ def __init__(
         self.warn_unknown_filter_keys = bool(warn_unknown_filter_keys)
         self._warned_missing_keys: set[str] = set()
 
-    @timed(log=True, log_prefix="model_timed_rerank")
+    @timed(
+        log=True, log_prefix="model_timed_rerank", log_extra_args={"model_name_or_path": "reranker"}
+    )
     def rerank(
         self,
         query: str,

src/memos/utils.py

@@ -6,20 +6,48 @@
 logger = get_logger(__name__)
 
 
-def timed(func=None, *, log=True, log_prefix=""):
-    """Decorator to measure and optionally log time of retrieval steps.
-
-    Can be used as @timed or @timed(log=True)
+def timed(func=None, *, log=True, log_prefix="", log_args=None, log_extra_args=None):
+    """
+    Parameters:
+    - log: enable timing logs (default True)
+    - log_prefix: prefix; falls back to function name
+    - log_args: names to include in logs (str or list/tuple of str).
+      Value priority: kwargs → args[0].config.<name> (if available).
+      Non-string items are ignored.
+
+    Examples:
+    - @timed(log=True, log_prefix="OpenAI LLM", log_args=["model_name_or_path", "temperature"])
+    - @timed(log=True, log_prefix="OpenAI LLM", log_args=["temperature"])
+    - @timed()  # defaults
     """
 
     def decorator(fn):
         def wrapper(*args, **kwargs):
             start = time.perf_counter()
             result = fn(*args, **kwargs)
-            elapsed = time.perf_counter() - start
-            elapsed_ms = elapsed * 1000.0
-            if log:
-                logger.info(f"[TIMER] {log_prefix or fn.__name__} took {elapsed_ms:.0f} ms")
+            elapsed_ms = (time.perf_counter() - start) * 1000.0
+            ctx_str = ""
+            ctx_parts = []
+
+            if log is not True:
+                return result
+
+            if log_args:
+                for key in log_args:
+                    val = kwargs.get(key)
+                    ctx_parts.append(f"{key}={val}")
+                    ctx_str = f" [{', '.join(ctx_parts)}]"
+
+            if log_extra_args:
+                ctx_parts.extend([f"{key}={val}" for key, val in log_extra_args.items()])
+
+            if ctx_parts:
+                ctx_str = f" [{', '.join(ctx_parts)}]"
+
+            logger.info(
+                f"[TIMER] {log_prefix or fn.__name__} took {elapsed_ms:.0f} ms, args: {ctx_str}"
+            )
+
             return result
 
         return wrapper