From 24605bcdb694f4c72ee53c0d3f503e20f865f643 Mon Sep 17 00:00:00 2001
From: Steve Moss <gawbul@users.noreply.github.com>
Date: Fri, 25 Oct 2024 03:16:26 +0100
Subject: [PATCH] community[patch]: Fix missing protected_namespaces().
 (#27610)

- [x] **PR message**:
- **Description:** Fixes warning messages raised due to missing
`protected_namespaces` parameter in `ConfigDict`.
    - **Issue:** https://github.com/langchain-ai/langchain/issues/27609
    - **Dependencies:** No dependencies
    - **Twitter handle:** @gawbul
---
 libs/community/langchain_community/embeddings/ascend.py       | 4 +++-
 .../langchain_community/embeddings/baidu_qianfan_endpoint.py  | 4 +++-
 libs/community/langchain_community/embeddings/bookend.py      | 4 +++-
 libs/community/langchain_community/embeddings/ernie.py        | 4 +++-
 libs/community/langchain_community/embeddings/google_palm.py  | 4 +++-
 libs/community/langchain_community/embeddings/gpt4all.py      | 4 +++-
 .../langchain_community/embeddings/infinity_local.py          | 1 +
 libs/community/langchain_community/embeddings/itrex.py        | 1 +
 libs/community/langchain_community/embeddings/jina.py         | 4 +++-
 libs/community/langchain_community/embeddings/llamacpp.py     | 1 +
 libs/community/langchain_community/embeddings/nlpcloud.py     | 4 +++-
 .../community/langchain_community/embeddings/optimum_intel.py | 1 +
 libs/community/langchain_community/embeddings/sambanova.py    | 4 +++-
 .../langchain_community/embeddings/tensorflow_hub.py          | 1 +
 libs/community/langchain_community/embeddings/text2vec.py     | 4 +++-
 15 files changed, 35 insertions(+), 10 deletions(-)

diff --git a/libs/community/langchain_community/embeddings/ascend.py b/libs/community/langchain_community/embeddings/ascend.py
index dd8c9c67fd94c..d01f7967491d8 100644
--- a/libs/community/langchain_community/embeddings/ascend.py
+++ b/libs/community/langchain_community/embeddings/ascend.py
@@ -2,7 +2,7 @@
 from typing import Any, Dict, List, Optional
 
 from langchain_core.embeddings import Embeddings
-from pydantic import BaseModel, model_validator
+from pydantic import BaseModel, ConfigDict, model_validator
 
 
 class AscendEmbeddings(Embeddings, BaseModel):
@@ -33,6 +33,8 @@ class AscendEmbeddings(Embeddings, BaseModel):
     model: Any
     tokenizer: Any
 
+    model_config = ConfigDict(protected_namespaces=())
+
     def __init__(self, *args: Any, **kwargs: Any) -> None:
         super().__init__(*args, **kwargs)
         try:
diff --git a/libs/community/langchain_community/embeddings/baidu_qianfan_endpoint.py b/libs/community/langchain_community/embeddings/baidu_qianfan_endpoint.py
index 14e2f35a4ea40..aaba2f3487a46 100644
--- a/libs/community/langchain_community/embeddings/baidu_qianfan_endpoint.py
+++ b/libs/community/langchain_community/embeddings/baidu_qianfan_endpoint.py
@@ -5,7 +5,7 @@
 
 from langchain_core.embeddings import Embeddings
 from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
-from pydantic import BaseModel, Field, SecretStr
+from pydantic import BaseModel, ConfigDict, Field, SecretStr
 
 logger = logging.getLogger(__name__)
 
@@ -81,6 +81,8 @@ class QianfanEmbeddingsEndpoint(BaseModel, Embeddings):
     model_kwargs: Dict[str, Any] = Field(default_factory=dict)
     """extra params for model invoke using with `do`."""
 
+    model_config = ConfigDict(protected_namespaces=())
+
     @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """
diff --git a/libs/community/langchain_community/embeddings/bookend.py b/libs/community/langchain_community/embeddings/bookend.py
index c5390e19e71f0..8e977834a47bf 100644
--- a/libs/community/langchain_community/embeddings/bookend.py
+++ b/libs/community/langchain_community/embeddings/bookend.py
@@ -5,7 +5,7 @@
 
 import requests
 from langchain_core.embeddings import Embeddings
-from pydantic import BaseModel, Field
+from pydantic import BaseModel, ConfigDict, Field
 
 API_URL = "https://api.bookend.ai/"
 DEFAULT_TASK = "embeddings"
@@ -42,6 +42,8 @@ class BookendEmbeddings(BaseModel, Embeddings):
     """Embeddings model ID to use."""
     auth_header: dict = Field(default_factory=dict)
 
+    model_config = ConfigDict(protected_namespaces=())
+
     def __init__(self, **kwargs: Any):
         super().__init__(**kwargs)
         self.auth_header = {"Authorization": "Basic {}".format(self.api_token)}
diff --git a/libs/community/langchain_community/embeddings/ernie.py b/libs/community/langchain_community/embeddings/ernie.py
index 42a49e2c6ca6f..34758c58b4c20 100644
--- a/libs/community/langchain_community/embeddings/ernie.py
+++ b/libs/community/langchain_community/embeddings/ernie.py
@@ -8,7 +8,7 @@
 from langchain_core.embeddings import Embeddings
 from langchain_core.runnables.config import run_in_executor
 from langchain_core.utils import get_from_dict_or_env, pre_init
-from pydantic import BaseModel
+from pydantic import BaseModel, ConfigDict
 
 logger = logging.getLogger(__name__)
 
@@ -31,6 +31,8 @@ class ErnieEmbeddings(BaseModel, Embeddings):
 
     _lock = threading.Lock()
 
+    model_config = ConfigDict(protected_namespaces=())
+
     @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         values["ernie_api_base"] = get_from_dict_or_env(
diff --git a/libs/community/langchain_community/embeddings/google_palm.py b/libs/community/langchain_community/embeddings/google_palm.py
index 363214caead72..d058bc46add0d 100644
--- a/libs/community/langchain_community/embeddings/google_palm.py
+++ b/libs/community/langchain_community/embeddings/google_palm.py
@@ -5,7 +5,7 @@
 
 from langchain_core.embeddings import Embeddings
 from langchain_core.utils import get_from_dict_or_env, pre_init
-from pydantic import BaseModel
+from pydantic import BaseModel, ConfigDict
 from tenacity import (
     before_sleep_log,
     retry,
@@ -62,6 +62,8 @@ class GooglePalmEmbeddings(BaseModel, Embeddings):
     show_progress_bar: bool = False
     """Whether to show a tqdm progress bar. Must have `tqdm` installed."""
 
+    model_config = ConfigDict(protected_namespaces=())
+
     @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate api key, python package exists."""
diff --git a/libs/community/langchain_community/embeddings/gpt4all.py b/libs/community/langchain_community/embeddings/gpt4all.py
index ce92ab84b6d23..5183cbb08bd84 100644
--- a/libs/community/langchain_community/embeddings/gpt4all.py
+++ b/libs/community/langchain_community/embeddings/gpt4all.py
@@ -1,7 +1,7 @@
 from typing import Any, Dict, List, Optional
 
 from langchain_core.embeddings import Embeddings
-from pydantic import BaseModel, model_validator
+from pydantic import BaseModel, ConfigDict, model_validator
 
 
 class GPT4AllEmbeddings(BaseModel, Embeddings):
@@ -28,6 +28,8 @@ class GPT4AllEmbeddings(BaseModel, Embeddings):
     gpt4all_kwargs: Optional[dict] = {}
     client: Any  #: :meta private:
 
+    model_config = ConfigDict(protected_namespaces=())
+
     @model_validator(mode="before")
     @classmethod
     def validate_environment(cls, values: Dict) -> Any:
diff --git a/libs/community/langchain_community/embeddings/infinity_local.py b/libs/community/langchain_community/embeddings/infinity_local.py
index 610ccaf3e88f0..075d028c9c758 100644
--- a/libs/community/langchain_community/embeddings/infinity_local.py
+++ b/libs/community/langchain_community/embeddings/infinity_local.py
@@ -60,6 +60,7 @@ class InfinityEmbeddingsLocal(BaseModel, Embeddings):
     # LLM call kwargs
     model_config = ConfigDict(
         extra="forbid",
+        protected_namespaces=(),
     )
 
     @model_validator(mode="after")
diff --git a/libs/community/langchain_community/embeddings/itrex.py b/libs/community/langchain_community/embeddings/itrex.py
index 2fcd0afae3d7c..1f9a8e0731bfd 100644
--- a/libs/community/langchain_community/embeddings/itrex.py
+++ b/libs/community/langchain_community/embeddings/itrex.py
@@ -120,6 +120,7 @@ def load_model(self) -> None:
 
     model_config = ConfigDict(
         extra="allow",
+        protected_namespaces=(),
     )
 
     def _embed(self, inputs: Any) -> Any:
diff --git a/libs/community/langchain_community/embeddings/jina.py b/libs/community/langchain_community/embeddings/jina.py
index 718345f1afd23..b46ae026397e9 100644
--- a/libs/community/langchain_community/embeddings/jina.py
+++ b/libs/community/langchain_community/embeddings/jina.py
@@ -6,7 +6,7 @@
 import requests
 from langchain_core.embeddings import Embeddings
 from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
-from pydantic import BaseModel, SecretStr, model_validator
+from pydantic import BaseModel, ConfigDict, SecretStr, model_validator
 
 JINA_API_URL: str = "https://api.jina.ai/v1/embeddings"
 
@@ -46,6 +46,8 @@ class JinaEmbeddings(BaseModel, Embeddings):
     model_name: str = "jina-embeddings-v2-base-en"
     jina_api_key: Optional[SecretStr] = None
 
+    model_config = ConfigDict(protected_namespaces=())
+
     @model_validator(mode="before")
     @classmethod
     def validate_environment(cls, values: Dict) -> Any:
diff --git a/libs/community/langchain_community/embeddings/llamacpp.py b/libs/community/langchain_community/embeddings/llamacpp.py
index 86a029ea753f0..6487312fd31d0 100644
--- a/libs/community/langchain_community/embeddings/llamacpp.py
+++ b/libs/community/langchain_community/embeddings/llamacpp.py
@@ -63,6 +63,7 @@ class LlamaCppEmbeddings(BaseModel, Embeddings):
 
     model_config = ConfigDict(
         extra="forbid",
+        protected_namespaces=(),
     )
 
     @model_validator(mode="after")
diff --git a/libs/community/langchain_community/embeddings/nlpcloud.py b/libs/community/langchain_community/embeddings/nlpcloud.py
index decf8ac2b803e..7e13f9cbbaf93 100644
--- a/libs/community/langchain_community/embeddings/nlpcloud.py
+++ b/libs/community/langchain_community/embeddings/nlpcloud.py
@@ -2,7 +2,7 @@
 
 from langchain_core.embeddings import Embeddings
 from langchain_core.utils import get_from_dict_or_env, pre_init
-from pydantic import BaseModel
+from pydantic import BaseModel, ConfigDict
 
 
 class NLPCloudEmbeddings(BaseModel, Embeddings):
@@ -22,6 +22,8 @@ class NLPCloudEmbeddings(BaseModel, Embeddings):
     gpu: bool  # Define gpu as a class attribute
     client: Any  #: :meta private:
 
+    model_config = ConfigDict(protected_namespaces=())
+
     def __init__(
         self,
         model_name: str = "paraphrase-multilingual-mpnet-base-v2",
diff --git a/libs/community/langchain_community/embeddings/optimum_intel.py b/libs/community/langchain_community/embeddings/optimum_intel.py
index 657cba32c78c4..05de5cca3a963 100644
--- a/libs/community/langchain_community/embeddings/optimum_intel.py
+++ b/libs/community/langchain_community/embeddings/optimum_intel.py
@@ -102,6 +102,7 @@ def load_model(self) -> None:
 
     model_config = ConfigDict(
         extra="allow",
+        protected_namespaces=(),
     )
 
     def _embed(self, inputs: Any) -> Any:
diff --git a/libs/community/langchain_community/embeddings/sambanova.py b/libs/community/langchain_community/embeddings/sambanova.py
index 0daab18ef6620..e23760b43182c 100644
--- a/libs/community/langchain_community/embeddings/sambanova.py
+++ b/libs/community/langchain_community/embeddings/sambanova.py
@@ -4,7 +4,7 @@
 import requests
 from langchain_core.embeddings import Embeddings
 from langchain_core.utils import get_from_dict_or_env, pre_init
-from pydantic import BaseModel
+from pydantic import BaseModel, ConfigDict
 
 
 class SambaStudioEmbeddings(BaseModel, Embeddings):
@@ -64,6 +64,8 @@ class SambaStudioEmbeddings(BaseModel, Embeddings):
     batch_size: int = 32
     """Batch size for the embedding models"""
 
+    model_config = ConfigDict(protected_namespaces=())
+
     @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
diff --git a/libs/community/langchain_community/embeddings/tensorflow_hub.py b/libs/community/langchain_community/embeddings/tensorflow_hub.py
index a9c2edf419b9d..270c9f17cb36e 100644
--- a/libs/community/langchain_community/embeddings/tensorflow_hub.py
+++ b/libs/community/langchain_community/embeddings/tensorflow_hub.py
@@ -45,6 +45,7 @@ def __init__(self, **kwargs: Any):
 
     model_config = ConfigDict(
         extra="forbid",
+        protected_namespaces=(),
     )
 
     def embed_documents(self, texts: List[str]) -> List[List[float]]:
diff --git a/libs/community/langchain_community/embeddings/text2vec.py b/libs/community/langchain_community/embeddings/text2vec.py
index 2d55f5585b5ea..4b8cc77192ad5 100644
--- a/libs/community/langchain_community/embeddings/text2vec.py
+++ b/libs/community/langchain_community/embeddings/text2vec.py
@@ -3,7 +3,7 @@
 from typing import Any, List, Optional
 
 from langchain_core.embeddings import Embeddings
-from pydantic import BaseModel
+from pydantic import BaseModel, ConfigDict
 
 
 class Text2vecEmbeddings(Embeddings, BaseModel):
@@ -33,6 +33,8 @@ class Text2vecEmbeddings(Embeddings, BaseModel):
     device: Optional[str] = None
     model: Any = None
 
+    model_config = ConfigDict(protected_namespaces=())
+
     def __init__(
         self,
         *,