Do not issue beta or deprecation warnings on internal calls (#15641)

libs/community/langchain_community/cache.py

@@ -56,7 +56,7 @@ from langchain_core.caches import RETURN_VAL_TYPE, BaseCache
 from langchain_core.embeddings import Embeddings
 from langchain_core.language_models.llms import LLM, get_prompts
 from langchain_core.load.dump import dumps
-from langchain_core.load.load import _loads_suppress_warning
+from langchain_core.load.load import loads
 from langchain_core.outputs import ChatGeneration, Generation
 from langchain_core.utils import get_from_env
 
@@ -149,10 +149,7 @@ def _loads_generations(generations_str: str) -> Union[RETURN_VAL_TYPE, None]:
         RETURN_VAL_TYPE: A list of generations.
     """
     try:
-        generations = [
-            _loads_suppress_warning(_item_str)
-            for _item_str in json.loads(generations_str)
-        ]
+        generations = [loads(_item_str) for _item_str in json.loads(generations_str)]
         return generations
     except (json.JSONDecodeError, TypeError):
         # deferring the (soft) handling to after the legacy-format attempt
@@ -227,7 +224,7 @@ class SQLAlchemyCache(BaseCache):
             rows = session.execute(stmt).fetchall()
             if rows:
                 try:
-                    return [_loads_suppress_warning(row[0]) for row in rows]
+                    return [loads(row[0]) for row in rows]
                 except Exception:
                     logger.warning(
                         "Retrieving a cache value that could not be deserialized "
@@ -398,7 +395,7 @@ class RedisCache(BaseCache):
         if results:
             for _, text in results.items():
                 try:
-                    generations.append(_loads_suppress_warning(text))
+                    generations.append(loads(text))
                 except Exception:
                     logger.warning(
                         "Retrieving a cache value that could not be deserialized "
@@ -538,9 +535,7 @@ class RedisSemanticCache(BaseCache):
         if results:
             for document in results:
                 try:
-                    generations.extend(
-                        _loads_suppress_warning(document.metadata["return_val"])
-                    )
+                    generations.extend(loads(document.metadata["return_val"]))
                 except Exception:
                     logger.warning(
                         "Retrieving a cache value that could not be deserialized "
@@ -1190,7 +1185,7 @@ class SQLAlchemyMd5Cache(BaseCache):
         """Look up based on prompt and llm_string."""
         rows = self._search_rows(prompt, llm_string)
         if rows:
-            return [_loads_suppress_warning(row[0]) for row in rows]
+            return [loads(row[0]) for row in rows]
         return None
 
     def update(self, prompt: str, llm_string: str, return_val: RETURN_VAL_TYPE) -> None:

libs/community/langchain_community/chat_loaders/langsmith.py

@@ -4,7 +4,7 @@ import logging
 from typing import TYPE_CHECKING, Dict, Iterable, Iterator, List, Optional, Union, cast
 
 from langchain_core.chat_sessions import ChatSession
-from langchain_core.load.load import _load_suppress_warning
+from langchain_core.load.load import load
 
 from langchain_community.chat_loaders.base import BaseChatLoader
 
@@ -66,10 +66,8 @@ class LangSmithRunChatLoader(BaseChatLoader):
             raise ValueError(f"Run has no 'messages' inputs. Got {llm_run.inputs}")
         if not llm_run.outputs:
             raise ValueError("Cannot convert pending run")
-        messages = _load_suppress_warning(llm_run.inputs)["messages"]
-        message_chunk = _load_suppress_warning(llm_run.outputs)["generations"][0][
-            "message"
-        ]
+        messages = load(llm_run.inputs)["messages"]
+        message_chunk = load(llm_run.outputs)["generations"][0]["message"]
         return ChatSession(messages=messages + [message_chunk])
 
     @staticmethod

libs/community/langchain_community/chat_models/anyscale.py

@@ -4,10 +4,9 @@ from __future__ import annotations
 import logging
 import os
 import sys
-from typing import TYPE_CHECKING, Any, Dict, Optional, Set
+from typing import TYPE_CHECKING, Dict, Optional, Set
 
 import requests
-from langchain_core._api.deprecation import suppress_langchain_deprecation_warning
 from langchain_core.messages import BaseMessage
 from langchain_core.pydantic_v1 import Field, SecretStr, root_validator
 from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
@@ -73,11 +72,6 @@ class ChatAnyscale(ChatOpenAI):
     available_models: Optional[Set[str]] = None
     """Available models from Anyscale API."""
 
-    def __init__(self, *kwargs: Any) -> None:
-        # bypass deprecation warning for ChatOpenAI
-        with suppress_langchain_deprecation_warning():
-            super().__init__(*kwargs)
-
     @staticmethod
     def get_available_models(
         anyscale_api_key: Optional[str] = None,

libs/community/langchain_community/chat_models/everlyai.py

@@ -3,9 +3,8 @@ from __future__ import annotations
 
 import logging
 import sys
-from typing import TYPE_CHECKING, Any, Dict, Optional, Set
+from typing import TYPE_CHECKING, Dict, Optional, Set
 
-from langchain_core._api.deprecation import suppress_langchain_deprecation_warning
 from langchain_core.messages import BaseMessage
 from langchain_core.pydantic_v1 import Field, root_validator
 from langchain_core.utils import get_from_dict_or_env
@@ -65,11 +64,6 @@ class ChatEverlyAI(ChatOpenAI):
     available_models: Optional[Set[str]] = None
     """Available models from EverlyAI API."""
 
-    def __init__(self, *kwargs: Any) -> None:
-        # bypass deprecation warning for ChatOpenAI
-        with suppress_langchain_deprecation_warning():
-            super().__init__(*kwargs)
-
     @staticmethod
     def get_available_models() -> Set[str]:
         """Get available models from EverlyAI API."""

libs/community/langchain_community/chat_models/promptlayer_openai.py

@@ -2,7 +2,6 @@
 import datetime
 from typing import Any, Dict, List, Optional
 
-from langchain_core._api.deprecation import suppress_langchain_deprecation_warning
 from langchain_core.callbacks import (
     AsyncCallbackManagerForLLMRun,
     CallbackManagerForLLMRun,
@@ -40,11 +39,6 @@ class PromptLayerChatOpenAI(ChatOpenAI):
     pl_tags: Optional[List[str]]
     return_pl_id: Optional[bool] = False
 
-    def __init__(self, *kwargs: Any) -> None:
-        # bypass deprecation warning for ChatOpenAI
-        with suppress_langchain_deprecation_warning():
-            super().__init__(*kwargs)
-
     @classmethod
     def is_lc_serializable(cls) -> bool:
         return False

libs/community/langchain_community/llms/promptlayer_openai.py

@@ -1,7 +1,6 @@
 import datetime
 from typing import Any, List, Optional
 
-from langchain_core._api.deprecation import suppress_langchain_deprecation_warning
 from langchain_core.callbacks import (
     AsyncCallbackManagerForLLMRun,
     CallbackManagerForLLMRun,
@@ -38,11 +37,6 @@ class PromptLayerOpenAI(OpenAI):
     pl_tags: Optional[List[str]]
     return_pl_id: Optional[bool] = False
 
-    def __init__(self, *kwargs: Any) -> None:
-        # bypass deprecation warning for ChatOpenAI
-        with suppress_langchain_deprecation_warning():
-            super().__init__(*kwargs)
-
     @classmethod
     def is_lc_serializable(cls) -> bool:
         return False