anthropic[major]: support python 3.13 (#27916)

Last week Anthropic released version 0.39.0 of its python sdk, which
enabled support for Python 3.13. This release deleted a legacy
`client.count_tokens` method, which we currently access during init of
the `Anthropic` LLM. Anthropic has replaced this functionality with the
[client.beta.messages.count_tokens()
API](https://github.com/anthropics/anthropic-sdk-python/pull/726).

To enable support for `anthropic >= 0.39.0` and Python 3.13, here we
drop support for the legacy token counting method, and add support for
the new method via `ChatAnthropic.get_num_tokens_from_messages`.

To fully support the token counting API, we update the signature of
`get_num_tokens_from_message` to accept tools everywhere.

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>

libs/community/langchain_community/chat_models/anyscale.py

@@ -5,10 +5,22 @@ from __future__ import annotations
 import logging
 import os
 import sys
-from typing import TYPE_CHECKING, Any, Dict, Optional, Set
+import warnings
+from typing import (
+    TYPE_CHECKING,
+    Any,
+    Callable,
+    Dict,
+    Optional,
+    Sequence,
+    Set,
+    Type,
+    Union,
+)
 
 import requests
 from langchain_core.messages import BaseMessage
+from langchain_core.tools import BaseTool
 from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
 from pydantic import Field, SecretStr, model_validator
 
@@ -197,10 +209,20 @@ class ChatAnyscale(ChatOpenAI):
             encoding = tiktoken_.get_encoding(model)
         return model, encoding
 
-    def get_num_tokens_from_messages(self, messages: list[BaseMessage]) -> int:
+    def get_num_tokens_from_messages(
+        self,
+        messages: list[BaseMessage],
+        tools: Optional[
+            Sequence[Union[Dict[str, Any], Type, Callable, BaseTool]]
+        ] = None,
+    ) -> int:
         """Calculate num tokens with tiktoken package.
         Official documentation: https://github.com/openai/openai-cookbook/blob/main/examples/How_to_format_inputs_to_ChatGPT_models.ipynb
         """
+        if tools is not None:
+            warnings.warn(
+                "Counting tokens in tool schemas is not yet supported. Ignoring tools."
+            )
         if sys.version_info[1] <= 7:
             return super().get_num_tokens_from_messages(messages)
         model, encoding = self._get_encoding_model()