Add ruff rule UP006(use PEP585 annotations)

libs/core/langchain_core/agents.py

@@ -25,7 +25,7 @@
 from __future__ import annotations
 
 import json
-from typing import Any, List, Literal, Sequence, Union
+from typing import Any, Literal, Sequence, Union
 
 from langchain_core.load.serializable import Serializable
 from langchain_core.messages import (
@@ -71,7 +71,7 @@ def is_lc_serializable(cls) -> bool:
         return True
 
     @classmethod
-    def get_lc_namespace(cls) -> List[str]:
+    def get_lc_namespace(cls) -> list[str]:
         """Get the namespace of the langchain object.
         Default is ["langchain", "schema", "agent"]."""
         return ["langchain", "schema", "agent"]
@@ -145,7 +145,7 @@ def is_lc_serializable(cls) -> bool:
         return True
 
     @classmethod
-    def get_lc_namespace(cls) -> List[str]:
+    def get_lc_namespace(cls) -> list[str]:
         """Get the namespace of the langchain object."""
         return ["langchain", "schema", "agent"]
 

libs/core/langchain_core/caches.py

@@ -23,7 +23,7 @@
 from __future__ import annotations
 
 from abc import ABC, abstractmethod
-from typing import Any, Dict, Optional, Sequence, Tuple
+from typing import Any, Optional, Sequence
 
 from langchain_core.outputs import Generation
 from langchain_core.runnables import run_in_executor
@@ -157,7 +157,7 @@ def __init__(self, *, maxsize: Optional[int] = None) -> None:
         Raises:
             ValueError: If maxsize is less than or equal to 0.
         """
-        self._cache: Dict[Tuple[str, str], RETURN_VAL_TYPE] = {}
+        self._cache: dict[tuple[str, str], RETURN_VAL_TYPE] = {}
         if maxsize is not None and maxsize <= 0:
             raise ValueError("maxsize must be greater than 0")
         self._maxsize = maxsize