diff --git a/.github/scripts/check_diff.py b/.github/scripts/check_diff.py index 9ed13da9a05..71a189124c7 100644 --- a/.github/scripts/check_diff.py +++ b/.github/scripts/check_diff.py @@ -110,7 +110,7 @@ def _get_configs_for_single_dir(job: str, dir_: str) -> List[Dict[str, str]]: return _get_pydantic_test_configs(dir_) if dir_ == "libs/core": - py_versions = ["3.9", "3.10", "3.11", "3.12"] + py_versions = ["3.9", "3.10", "3.11", "3.12", "3.13"] # custom logic for specific directories elif dir_ == "libs/partners/milvus": # milvus poetry doesn't allow 3.12 because they @@ -125,8 +125,11 @@ def _get_configs_for_single_dir(job: str, dir_: str) -> List[Dict[str, str]]: elif dir_ == "libs/community" and job == "compile-integration-tests": # community integration deps are slow in 3.12 py_versions = ["3.9", "3.11"] - else: + elif dir_ == ".": + # unable to install with 3.13 because tokenizers doesn't support 3.13 yet py_versions = ["3.9", "3.12"] + else: + py_versions = ["3.9", "3.13"] return [{"working-directory": dir_, "python-version": py_v} for py_v in py_versions] @@ -305,7 +308,7 @@ if __name__ == "__main__": ] } map_job_to_configs["test-doc-imports"] = ( - [{"python-version": "3.12"}] if docs_edited else [] + [{"python-version": "3.13"}] if docs_edited else [] ) for key, value in map_job_to_configs.items(): diff --git a/libs/community/langchain_community/agent_toolkits/nla/tool.py b/libs/community/langchain_community/agent_toolkits/nla/tool.py index 3e49748e4be..47f25d13b68 100644 --- a/libs/community/langchain_community/agent_toolkits/nla/tool.py +++ b/libs/community/langchain_community/agent_toolkits/nla/tool.py @@ -13,7 +13,7 @@ from langchain_community.tools.openapi.utils.openapi_utils import OpenAPISpec from langchain_community.utilities.requests import Requests -class NLATool(Tool): +class NLATool(Tool): # type: ignore[override] """Natural Language API Tool.""" @classmethod diff --git a/libs/community/langchain_community/agent_toolkits/openapi/planner.py b/libs/community/langchain_community/agent_toolkits/openapi/planner.py index eb2c0efe4c6..3d49a225370 100644 --- a/libs/community/langchain_community/agent_toolkits/openapi/planner.py +++ b/libs/community/langchain_community/agent_toolkits/openapi/planner.py @@ -64,7 +64,7 @@ def _get_default_llm_chain_factory( return partial(_get_default_llm_chain, prompt) -class RequestsGetToolWithParsing(BaseRequestsTool, BaseTool): +class RequestsGetToolWithParsing(BaseRequestsTool, BaseTool): # type: ignore[override] """Requests GET tool with LLM-instructed extraction of truncated responses.""" name: str = "requests_get" @@ -98,7 +98,7 @@ class RequestsGetToolWithParsing(BaseRequestsTool, BaseTool): raise NotImplementedError() -class RequestsPostToolWithParsing(BaseRequestsTool, BaseTool): +class RequestsPostToolWithParsing(BaseRequestsTool, BaseTool): # type: ignore[override] """Requests POST tool with LLM-instructed extraction of truncated responses.""" name: str = "requests_post" @@ -129,7 +129,7 @@ class RequestsPostToolWithParsing(BaseRequestsTool, BaseTool): raise NotImplementedError() -class RequestsPatchToolWithParsing(BaseRequestsTool, BaseTool): +class RequestsPatchToolWithParsing(BaseRequestsTool, BaseTool): # type: ignore[override] """Requests PATCH tool with LLM-instructed extraction of truncated responses.""" name: str = "requests_patch" @@ -162,7 +162,7 @@ class RequestsPatchToolWithParsing(BaseRequestsTool, BaseTool): raise NotImplementedError() -class RequestsPutToolWithParsing(BaseRequestsTool, BaseTool): +class RequestsPutToolWithParsing(BaseRequestsTool, BaseTool): # type: ignore[override] """Requests PUT tool with LLM-instructed extraction of truncated responses.""" name: str = "requests_put" @@ -193,7 +193,7 @@ class RequestsPutToolWithParsing(BaseRequestsTool, BaseTool): raise NotImplementedError() -class RequestsDeleteToolWithParsing(BaseRequestsTool, BaseTool): +class RequestsDeleteToolWithParsing(BaseRequestsTool, BaseTool): # type: ignore[override] """Tool that sends a DELETE request and parses the response.""" name: str = "requests_delete" diff --git a/libs/community/langchain_community/agents/openai_assistant/base.py b/libs/community/langchain_community/agents/openai_assistant/base.py index d2b1b7c02ac..ff3e670caae 100644 --- a/libs/community/langchain_community/agents/openai_assistant/base.py +++ b/libs/community/langchain_community/agents/openai_assistant/base.py @@ -255,7 +255,7 @@ class OpenAIAssistantV2Runnable(OpenAIAssistantRunnable): name=name, instructions=instructions, tools=[_get_assistants_tool(tool) for tool in tools], # type: ignore - tool_resources=tool_resources, + tool_resources=tool_resources, # type: ignore[arg-type] model=model, ) return cls(assistant_id=assistant.id, client=client, **kwargs) @@ -394,7 +394,7 @@ class OpenAIAssistantV2Runnable(OpenAIAssistantRunnable): name=name, instructions=instructions, tools=openai_tools, # type: ignore - tool_resources=tool_resources, + tool_resources=tool_resources, # type: ignore[arg-type] model=model, ) return cls(assistant_id=assistant.id, async_client=async_client, **kwargs) diff --git a/libs/community/langchain_community/chat_models/anyscale.py b/libs/community/langchain_community/chat_models/anyscale.py index bb1f83ad1b2..bb1adff0ca3 100644 --- a/libs/community/langchain_community/chat_models/anyscale.py +++ b/libs/community/langchain_community/chat_models/anyscale.py @@ -155,7 +155,7 @@ class ChatAnyscale(ChatOpenAI): else: values["openai_api_base"] = values["anyscale_api_base"] values["openai_api_key"] = values["anyscale_api_key"].get_secret_value() - values["client"] = openai.ChatCompletion + values["client"] = openai.ChatCompletion # type: ignore[attr-defined] except AttributeError as exc: raise ValueError( "`openai` has no `ChatCompletion` attribute, this is likely " diff --git a/libs/community/langchain_community/chat_models/azure_openai.py b/libs/community/langchain_community/chat_models/azure_openai.py index 182e10f6f3b..2f2711f4625 100644 --- a/libs/community/langchain_community/chat_models/azure_openai.py +++ b/libs/community/langchain_community/chat_models/azure_openai.py @@ -224,7 +224,7 @@ class AzureChatOpenAI(ChatOpenAI): **client_params ).chat.completions else: - values["client"] = openai.ChatCompletion + values["client"] = openai.ChatCompletion # type: ignore[attr-defined] return values @property diff --git a/libs/community/langchain_community/chat_models/azureml_endpoint.py b/libs/community/langchain_community/chat_models/azureml_endpoint.py index c42d8a610a9..a02919d760a 100644 --- a/libs/community/langchain_community/chat_models/azureml_endpoint.py +++ b/libs/community/langchain_community/chat_models/azureml_endpoint.py @@ -304,7 +304,7 @@ class AzureMLChatOnlineEndpoint(BaseChatModel, AzureMLBaseEndpoint): "http_client": None, } - client = openai.OpenAI(**client_params) + client = openai.OpenAI(**client_params) # type: ignore[arg-type, arg-type, arg-type, arg-type, arg-type, arg-type] message_dicts = [ CustomOpenAIChatContentFormatter._convert_message_to_dict(m) for m in messages @@ -312,28 +312,30 @@ class AzureMLChatOnlineEndpoint(BaseChatModel, AzureMLBaseEndpoint): params = {"stream": True, "stop": stop, "model": None, **kwargs} default_chunk_class = AIMessageChunk - for chunk in client.chat.completions.create(messages=message_dicts, **params): + for chunk in client.chat.completions.create(messages=message_dicts, **params): # type: ignore[arg-type] if not isinstance(chunk, dict): - chunk = chunk.dict() - if len(chunk["choices"]) == 0: + chunk = chunk.dict() # type: ignore[attr-defined] + if len(chunk["choices"]) == 0: # type: ignore[call-overload] continue - choice = chunk["choices"][0] - chunk = _convert_delta_to_message_chunk( - choice["delta"], default_chunk_class + choice = chunk["choices"][0] # type: ignore[call-overload] + chunk = _convert_delta_to_message_chunk( # type: ignore[assignment] + choice["delta"], # type: ignore[arg-type, index] + default_chunk_class, # type: ignore[arg-type, index] ) generation_info = {} - if finish_reason := choice.get("finish_reason"): + if finish_reason := choice.get("finish_reason"): # type: ignore[union-attr] generation_info["finish_reason"] = finish_reason - logprobs = choice.get("logprobs") + logprobs = choice.get("logprobs") # type: ignore[union-attr] if logprobs: generation_info["logprobs"] = logprobs - default_chunk_class = chunk.__class__ - chunk = ChatGenerationChunk( - message=chunk, generation_info=generation_info or None + default_chunk_class = chunk.__class__ # type: ignore[assignment] + chunk = ChatGenerationChunk( # type: ignore[assignment] + message=chunk, # type: ignore[arg-type] + generation_info=generation_info or None, # type: ignore[arg-type] ) if run_manager: - run_manager.on_llm_new_token(chunk.text, chunk=chunk, logprobs=logprobs) - yield chunk + run_manager.on_llm_new_token(chunk.text, chunk=chunk, logprobs=logprobs) # type: ignore[attr-defined, arg-type] + yield chunk # type: ignore[misc] async def _astream( self, @@ -357,7 +359,7 @@ class AzureMLChatOnlineEndpoint(BaseChatModel, AzureMLBaseEndpoint): "http_client": None, } - async_client = openai.AsyncOpenAI(**client_params) + async_client = openai.AsyncOpenAI(**client_params) # type: ignore[arg-type, arg-type, arg-type, arg-type, arg-type, arg-type] message_dicts = [ CustomOpenAIChatContentFormatter._convert_message_to_dict(m) for m in messages @@ -365,8 +367,9 @@ class AzureMLChatOnlineEndpoint(BaseChatModel, AzureMLBaseEndpoint): params = {"stream": True, "stop": stop, "model": None, **kwargs} default_chunk_class = AIMessageChunk - async for chunk in await async_client.chat.completions.create( - messages=message_dicts, **params + async for chunk in await async_client.chat.completions.create( # type: ignore[attr-defined] + messages=message_dicts, # type: ignore[arg-type] + **params, # type: ignore[arg-type] ): if not isinstance(chunk, dict): chunk = chunk.dict() diff --git a/libs/community/langchain_community/chat_models/everlyai.py b/libs/community/langchain_community/chat_models/everlyai.py index 160389b57c8..f7de8d3a34f 100644 --- a/libs/community/langchain_community/chat_models/everlyai.py +++ b/libs/community/langchain_community/chat_models/everlyai.py @@ -98,7 +98,7 @@ class ChatEverlyAI(ChatOpenAI): "Please install it with `pip install openai`.", ) from e try: - values["client"] = openai.ChatCompletion + values["client"] = openai.ChatCompletion # type: ignore[attr-defined] except AttributeError as exc: raise ValueError( "`openai` has no `ChatCompletion` attribute, this is likely " diff --git a/libs/community/langchain_community/chat_models/jinachat.py b/libs/community/langchain_community/chat_models/jinachat.py index 72c962d9354..9a3c8f8c037 100644 --- a/libs/community/langchain_community/chat_models/jinachat.py +++ b/libs/community/langchain_community/chat_models/jinachat.py @@ -70,11 +70,11 @@ def _create_retry_decorator(llm: JinaChat) -> Callable[[Any], Any]: stop=stop_after_attempt(llm.max_retries), wait=wait_exponential(multiplier=1, min=min_seconds, max=max_seconds), retry=( - retry_if_exception_type(openai.error.Timeout) - | retry_if_exception_type(openai.error.APIError) - | retry_if_exception_type(openai.error.APIConnectionError) - | retry_if_exception_type(openai.error.RateLimitError) - | retry_if_exception_type(openai.error.ServiceUnavailableError) + retry_if_exception_type(openai.error.Timeout) # type: ignore[attr-defined] + | retry_if_exception_type(openai.error.APIError) # type: ignore[attr-defined] + | retry_if_exception_type(openai.error.APIConnectionError) # type: ignore[attr-defined] + | retry_if_exception_type(openai.error.RateLimitError) # type: ignore[attr-defined] + | retry_if_exception_type(openai.error.ServiceUnavailableError) # type: ignore[attr-defined] ), before_sleep=before_sleep_log(logger, logging.WARNING), ) @@ -234,7 +234,7 @@ class JinaChat(BaseChatModel): "Please install it with `pip install openai`." ) try: - values["client"] = openai.ChatCompletion + values["client"] = openai.ChatCompletion # type: ignore[attr-defined] except AttributeError: raise ValueError( "`openai` has no `ChatCompletion` attribute, this is likely " @@ -266,11 +266,11 @@ class JinaChat(BaseChatModel): stop=stop_after_attempt(self.max_retries), wait=wait_exponential(multiplier=1, min=min_seconds, max=max_seconds), retry=( - retry_if_exception_type(openai.error.Timeout) - | retry_if_exception_type(openai.error.APIError) - | retry_if_exception_type(openai.error.APIConnectionError) - | retry_if_exception_type(openai.error.RateLimitError) - | retry_if_exception_type(openai.error.ServiceUnavailableError) + retry_if_exception_type(openai.error.Timeout) # type: ignore[attr-defined] + | retry_if_exception_type(openai.error.APIError) # type: ignore[attr-defined] + | retry_if_exception_type(openai.error.APIConnectionError) # type: ignore[attr-defined] + | retry_if_exception_type(openai.error.RateLimitError) # type: ignore[attr-defined] + | retry_if_exception_type(openai.error.ServiceUnavailableError) # type: ignore[attr-defined] ), before_sleep=before_sleep_log(logger, logging.WARNING), ) diff --git a/libs/community/langchain_community/chat_models/konko.py b/libs/community/langchain_community/chat_models/konko.py index a2d16e51179..3aec395cf53 100644 --- a/libs/community/langchain_community/chat_models/konko.py +++ b/libs/community/langchain_community/chat_models/konko.py @@ -42,7 +42,7 @@ DEFAULT_MODEL = "meta-llama/Llama-2-13b-chat-hf" logger = logging.getLogger(__name__) -class ChatKonko(ChatOpenAI): +class ChatKonko(ChatOpenAI): # type: ignore[override] """`ChatKonko` Chat large language models API. To use, you should have the ``konko`` python package installed, and the diff --git a/libs/community/langchain_community/chat_models/moonshot.py b/libs/community/langchain_community/chat_models/moonshot.py index cd9de1c51dd..7290c52b76e 100644 --- a/libs/community/langchain_community/chat_models/moonshot.py +++ b/libs/community/langchain_community/chat_models/moonshot.py @@ -12,7 +12,7 @@ from langchain_community.chat_models import ChatOpenAI from langchain_community.llms.moonshot import MOONSHOT_SERVICE_URL_BASE, MoonshotCommon -class MoonshotChat(MoonshotCommon, ChatOpenAI): # type: ignore[misc] +class MoonshotChat(MoonshotCommon, ChatOpenAI): # type: ignore[misc, override, override] """Moonshot large language models. To use, you should have the ``openai`` python package installed, and the diff --git a/libs/community/langchain_community/chat_models/octoai.py b/libs/community/langchain_community/chat_models/octoai.py index cbe1ee4ca88..4f7120c2c83 100644 --- a/libs/community/langchain_community/chat_models/octoai.py +++ b/libs/community/langchain_community/chat_models/octoai.py @@ -98,7 +98,7 @@ class ChatOctoAI(ChatOpenAI): else: values["openai_api_base"] = values["octoai_api_base"] values["openai_api_key"] = values["octoai_api_token"].get_secret_value() - values["client"] = openai.ChatCompletion + values["client"] = openai.ChatCompletion # type: ignore[attr-defined] except ImportError: raise ImportError( "Could not import openai python package. " diff --git a/libs/community/langchain_community/chat_models/openai.py b/libs/community/langchain_community/chat_models/openai.py index 0ad982eec70..a2b3a057295 100644 --- a/libs/community/langchain_community/chat_models/openai.py +++ b/libs/community/langchain_community/chat_models/openai.py @@ -87,11 +87,11 @@ def _create_retry_decorator( import openai errors = [ - openai.error.Timeout, - openai.error.APIError, - openai.error.APIConnectionError, - openai.error.RateLimitError, - openai.error.ServiceUnavailableError, + openai.error.Timeout, # type: ignore[attr-defined] + openai.error.APIError, # type: ignore[attr-defined] + openai.error.APIConnectionError, # type: ignore[attr-defined] + openai.error.RateLimitError, # type: ignore[attr-defined] + openai.error.ServiceUnavailableError, # type: ignore[attr-defined] ] return create_base_retry_decorator( error_types=errors, max_retries=llm.max_retries, run_manager=run_manager @@ -357,7 +357,7 @@ class ChatOpenAI(BaseChatModel): **client_params ).chat.completions elif not values.get("client"): - values["client"] = openai.ChatCompletion + values["client"] = openai.ChatCompletion # type: ignore[attr-defined] else: pass return values @@ -594,7 +594,7 @@ class ChatOpenAI(BaseChatModel): if self.openai_proxy: import openai - openai.proxy = {"http": self.openai_proxy, "https": self.openai_proxy} + openai.proxy = {"http": self.openai_proxy, "https": self.openai_proxy} # type: ignore[attr-defined] return {**self._default_params, **openai_creds} def _get_invocation_params( diff --git a/libs/community/langchain_community/chat_models/solar.py b/libs/community/langchain_community/chat_models/solar.py index 10eba5da5a7..1f2da3244c8 100644 --- a/libs/community/langchain_community/chat_models/solar.py +++ b/libs/community/langchain_community/chat_models/solar.py @@ -13,7 +13,7 @@ from langchain_community.llms.solar import SOLAR_SERVICE_URL_BASE, SolarCommon @deprecated( # type: ignore[arg-type] since="0.0.34", removal="1.0", alternative_import="langchain_upstage.ChatUpstage" ) -class SolarChat(SolarCommon, ChatOpenAI): +class SolarChat(SolarCommon, ChatOpenAI): # type: ignore[override, override] """Wrapper around Solar large language models. To use, you should have the ``openai`` python package installed, and the environment variable ``SOLAR_API_KEY`` set with your API key. diff --git a/libs/community/langchain_community/chat_models/vertexai.py b/libs/community/langchain_community/chat_models/vertexai.py index eeb638e2dc0..6fae0513f94 100644 --- a/libs/community/langchain_community/chat_models/vertexai.py +++ b/libs/community/langchain_community/chat_models/vertexai.py @@ -209,7 +209,7 @@ def _get_question(messages: List[BaseMessage]) -> HumanMessage: removal="1.0", alternative_import="langchain_google_vertexai.ChatVertexAI", ) -class ChatVertexAI(_VertexAICommon, BaseChatModel): +class ChatVertexAI(_VertexAICommon, BaseChatModel): # type: ignore[override] """`Vertex AI` Chat large language models API.""" model_name: str = "chat-bison" diff --git a/libs/community/langchain_community/document_loaders/blob_loaders/cloud_blob_loader.py b/libs/community/langchain_community/document_loaders/blob_loaders/cloud_blob_loader.py index f019b57d3cd..0a5efbab54c 100644 --- a/libs/community/langchain_community/document_loaders/blob_loaders/cloud_blob_loader.py +++ b/libs/community/langchain_community/document_loaders/blob_loaders/cloud_blob_loader.py @@ -224,7 +224,7 @@ class CloudBlobLoader(BlobLoader): yield self.path return - paths = self.path.glob(self.glob) + paths = self.path.glob(self.glob) # type: ignore[attr-defined] for path in paths: if self.exclude: if any(path.match(glob) for glob in self.exclude): diff --git a/libs/community/langchain_community/document_loaders/csv_loader.py b/libs/community/langchain_community/document_loaders/csv_loader.py index 8b0e6b3ab9c..1e126709d4a 100644 --- a/libs/community/langchain_community/document_loaders/csv_loader.py +++ b/libs/community/langchain_community/document_loaders/csv_loader.py @@ -219,4 +219,4 @@ class UnstructuredCSVLoader(UnstructuredFileLoader): def _get_elements(self) -> List: from unstructured.partition.csv import partition_csv - return partition_csv(filename=self.file_path, **self.unstructured_kwargs) + return partition_csv(filename=self.file_path, **self.unstructured_kwargs) # type: ignore[arg-type] diff --git a/libs/community/langchain_community/document_loaders/email.py b/libs/community/langchain_community/document_loaders/email.py index 24716c55a9f..c7e7cee54bb 100644 --- a/libs/community/langchain_community/document_loaders/email.py +++ b/libs/community/langchain_community/document_loaders/email.py @@ -60,16 +60,16 @@ class UnstructuredEmailLoader(UnstructuredFileLoader): def _get_elements(self) -> List: from unstructured.file_utils.filetype import FileType, detect_filetype - filetype = detect_filetype(self.file_path) + filetype = detect_filetype(self.file_path) # type: ignore[arg-type] if filetype == FileType.EML: from unstructured.partition.email import partition_email - return partition_email(filename=self.file_path, **self.unstructured_kwargs) + return partition_email(filename=self.file_path, **self.unstructured_kwargs) # type: ignore[arg-type] elif satisfies_min_unstructured_version("0.5.8") and filetype == FileType.MSG: from unstructured.partition.msg import partition_msg - return partition_msg(filename=self.file_path, **self.unstructured_kwargs) + return partition_msg(filename=self.file_path, **self.unstructured_kwargs) # type: ignore[arg-type] else: raise ValueError( f"Filetype {filetype} is not supported in UnstructuredEmailLoader." diff --git a/libs/community/langchain_community/document_loaders/epub.py b/libs/community/langchain_community/document_loaders/epub.py index fbef21b9b5a..6a316069127 100644 --- a/libs/community/langchain_community/document_loaders/epub.py +++ b/libs/community/langchain_community/document_loaders/epub.py @@ -39,4 +39,4 @@ class UnstructuredEPubLoader(UnstructuredFileLoader): ) from unstructured.partition.epub import partition_epub - return partition_epub(filename=self.file_path, **self.unstructured_kwargs) + return partition_epub(filename=self.file_path, **self.unstructured_kwargs) # type: ignore[arg-type] diff --git a/libs/community/langchain_community/document_loaders/excel.py b/libs/community/langchain_community/document_loaders/excel.py index 4c93cde008b..ace4eeee646 100644 --- a/libs/community/langchain_community/document_loaders/excel.py +++ b/libs/community/langchain_community/document_loaders/excel.py @@ -48,4 +48,4 @@ class UnstructuredExcelLoader(UnstructuredFileLoader): def _get_elements(self) -> List: from unstructured.partition.xlsx import partition_xlsx - return partition_xlsx(filename=self.file_path, **self.unstructured_kwargs) + return partition_xlsx(filename=self.file_path, **self.unstructured_kwargs) # type: ignore[arg-type] diff --git a/libs/community/langchain_community/document_loaders/git.py b/libs/community/langchain_community/document_loaders/git.py index b37f575eacb..3b380b275f5 100644 --- a/libs/community/langchain_community/document_loaders/git.py +++ b/libs/community/langchain_community/document_loaders/git.py @@ -74,7 +74,7 @@ class GitLoader(BaseLoader): file_path = os.path.join(self.repo_path, item.path) - ignored_files = repo.ignored([file_path]) + ignored_files = repo.ignored([file_path]) # type: ignore[arg-type] if len(ignored_files): continue diff --git a/libs/community/langchain_community/document_loaders/html.py b/libs/community/langchain_community/document_loaders/html.py index 77a2ef3d24d..857142bce96 100644 --- a/libs/community/langchain_community/document_loaders/html.py +++ b/libs/community/langchain_community/document_loaders/html.py @@ -30,4 +30,4 @@ class UnstructuredHTMLLoader(UnstructuredFileLoader): def _get_elements(self) -> List: from unstructured.partition.html import partition_html - return partition_html(filename=self.file_path, **self.unstructured_kwargs) + return partition_html(filename=self.file_path, **self.unstructured_kwargs) # type: ignore[arg-type] diff --git a/libs/community/langchain_community/document_loaders/image.py b/libs/community/langchain_community/document_loaders/image.py index c7b2e29b4c6..c574226c753 100644 --- a/libs/community/langchain_community/document_loaders/image.py +++ b/libs/community/langchain_community/document_loaders/image.py @@ -30,4 +30,4 @@ class UnstructuredImageLoader(UnstructuredFileLoader): def _get_elements(self) -> List: from unstructured.partition.image import partition_image - return partition_image(filename=self.file_path, **self.unstructured_kwargs) + return partition_image(filename=self.file_path, **self.unstructured_kwargs) # type: ignore[arg-type] diff --git a/libs/community/langchain_community/document_loaders/image_captions.py b/libs/community/langchain_community/document_loaders/image_captions.py index 568fa0a25aa..aeb1580cb39 100644 --- a/libs/community/langchain_community/document_loaders/image_captions.py +++ b/libs/community/langchain_community/document_loaders/image_captions.py @@ -76,13 +76,13 @@ class ImageCaptionLoader(BaseLoader): try: if isinstance(image, bytes): - image = Image.open(BytesIO(image)).convert("RGB") + image = Image.open(BytesIO(image)).convert("RGB") # type: ignore[assignment] elif isinstance(image, str) and ( image.startswith("http://") or image.startswith("https://") ): - image = Image.open(requests.get(image, stream=True).raw).convert("RGB") + image = Image.open(requests.get(image, stream=True).raw).convert("RGB") # type: ignore[assignment, arg-type] else: - image = Image.open(image).convert("RGB") + image = Image.open(image).convert("RGB") # type: ignore[assignment] except Exception: if isinstance(image_source, bytes): msg = "Could not get image data from bytes" diff --git a/libs/community/langchain_community/document_loaders/markdown.py b/libs/community/langchain_community/document_loaders/markdown.py index e9cdd448870..f204b0bdc03 100644 --- a/libs/community/langchain_community/document_loaders/markdown.py +++ b/libs/community/langchain_community/document_loaders/markdown.py @@ -83,4 +83,4 @@ class UnstructuredMarkdownLoader(UnstructuredFileLoader): "Partitioning markdown files is only supported in unstructured>=0.4.16." ) - return partition_md(filename=self.file_path, **self.unstructured_kwargs) + return partition_md(filename=self.file_path, **self.unstructured_kwargs) # type: ignore[arg-type] diff --git a/libs/community/langchain_community/document_loaders/odt.py b/libs/community/langchain_community/document_loaders/odt.py index 171cede5caf..a803aeafcbe 100644 --- a/libs/community/langchain_community/document_loaders/odt.py +++ b/libs/community/langchain_community/document_loaders/odt.py @@ -51,4 +51,4 @@ class UnstructuredODTLoader(UnstructuredFileLoader): def _get_elements(self) -> List: from unstructured.partition.odt import partition_odt - return partition_odt(filename=self.file_path, **self.unstructured_kwargs) + return partition_odt(filename=self.file_path, **self.unstructured_kwargs) # type: ignore[arg-type] diff --git a/libs/community/langchain_community/document_loaders/org_mode.py b/libs/community/langchain_community/document_loaders/org_mode.py index 56331e2db07..106bf58da48 100644 --- a/libs/community/langchain_community/document_loaders/org_mode.py +++ b/libs/community/langchain_community/document_loaders/org_mode.py @@ -51,4 +51,4 @@ class UnstructuredOrgModeLoader(UnstructuredFileLoader): def _get_elements(self) -> List: from unstructured.partition.org import partition_org - return partition_org(filename=self.file_path, **self.unstructured_kwargs) + return partition_org(filename=self.file_path, **self.unstructured_kwargs) # type: ignore[arg-type] diff --git a/libs/community/langchain_community/document_loaders/parsers/audio.py b/libs/community/langchain_community/document_loaders/parsers/audio.py index 9741a32f3de..abc08e561a5 100644 --- a/libs/community/langchain_community/document_loaders/parsers/audio.py +++ b/libs/community/langchain_community/document_loaders/parsers/audio.py @@ -118,7 +118,7 @@ class OpenAIWhisperParser(BaseBlobParser): model="whisper-1", file=file_obj, **self._create_params ) else: - transcript = openai.Audio.transcribe("whisper-1", file_obj) + transcript = openai.Audio.transcribe("whisper-1", file_obj) # type: ignore[attr-defined] break except Exception as e: attempts += 1 diff --git a/libs/community/langchain_community/document_loaders/parsers/msword.py b/libs/community/langchain_community/document_loaders/parsers/msword.py index a99672e2850..c366a8ce1af 100644 --- a/libs/community/langchain_community/document_loaders/parsers/msword.py +++ b/libs/community/langchain_community/document_loaders/parsers/msword.py @@ -39,7 +39,7 @@ class MsWordParser(BaseBlobParser): ): raise ValueError("This blob type is not supported for this parser.") with blob.as_bytes_io() as word_document: # type: ignore[attr-defined] - elements = mime_type_parser[blob.mimetype](file=word_document) # type: ignore[attr-defined] + elements = mime_type_parser[blob.mimetype](file=word_document) # type: ignore[attr-defined] # type: ignore[operator] # type: ignore[operator] # type: ignore[operator] # type: ignore[operator] # type: ignore[operator] # type: ignore[operator] text = "\n\n".join([str(el) for el in elements]) metadata = {"source": blob.source} # type: ignore[attr-defined] yield Document(page_content=text, metadata=metadata) diff --git a/libs/community/langchain_community/document_loaders/parsers/pdf.py b/libs/community/langchain_community/document_loaders/parsers/pdf.py index d0329b7cc1b..ef9ca7561ab 100644 --- a/libs/community/langchain_community/document_loaders/parsers/pdf.py +++ b/libs/community/langchain_community/document_loaders/parsers/pdf.py @@ -115,7 +115,8 @@ class PyPDFParser(BaseBlobParser): return page.extract_text() else: return page.extract_text( - extraction_mode=self.extraction_mode, **self.extraction_kwargs + extraction_mode=self.extraction_mode, # type: ignore[arg-type] + **self.extraction_kwargs, # type: ignore[arg-type] ) with blob.as_bytes_io() as pdf_file_obj: # type: ignore[attr-defined] @@ -132,7 +133,7 @@ class PyPDFParser(BaseBlobParser): def _extract_images_from_page(self, page: pypdf._page.PageObject) -> str: """Extract images from page and get the text with RapidOCR.""" - if not self.extract_images or "/XObject" not in page["/Resources"].keys(): + if not self.extract_images or "/XObject" not in page["/Resources"].keys(): # type: ignore[attr-defined] return "" xObject = page["/Resources"]["/XObject"].get_object() # type: ignore diff --git a/libs/community/langchain_community/document_loaders/pdf.py b/libs/community/langchain_community/document_loaders/pdf.py index 528d34c43b9..10261dd408b 100644 --- a/libs/community/langchain_community/document_loaders/pdf.py +++ b/libs/community/langchain_community/document_loaders/pdf.py @@ -71,7 +71,7 @@ class UnstructuredPDFLoader(UnstructuredFileLoader): def _get_elements(self) -> List: from unstructured.partition.pdf import partition_pdf - return partition_pdf(filename=self.file_path, **self.unstructured_kwargs) + return partition_pdf(filename=self.file_path, **self.unstructured_kwargs) # type: ignore[arg-type] class BasePDFLoader(BaseLoader, ABC): diff --git a/libs/community/langchain_community/document_loaders/powerpoint.py b/libs/community/langchain_community/document_loaders/powerpoint.py index 6f559881551..ed360e94f90 100644 --- a/libs/community/langchain_community/document_loaders/powerpoint.py +++ b/libs/community/langchain_community/document_loaders/powerpoint.py @@ -42,7 +42,7 @@ class UnstructuredPowerPointLoader(UnstructuredFileLoader): try: import magic # noqa: F401 - is_ppt = detect_filetype(self.file_path) == FileType.PPT + is_ppt = detect_filetype(self.file_path) == FileType.PPT # type: ignore[arg-type] except ImportError: _, extension = os.path.splitext(str(self.file_path)) is_ppt = extension == ".ppt" @@ -57,8 +57,8 @@ class UnstructuredPowerPointLoader(UnstructuredFileLoader): if is_ppt: from unstructured.partition.ppt import partition_ppt - return partition_ppt(filename=self.file_path, **self.unstructured_kwargs) + return partition_ppt(filename=self.file_path, **self.unstructured_kwargs) # type: ignore[arg-type] else: from unstructured.partition.pptx import partition_pptx - return partition_pptx(filename=self.file_path, **self.unstructured_kwargs) + return partition_pptx(filename=self.file_path, **self.unstructured_kwargs) # type: ignore[arg-type] diff --git a/libs/community/langchain_community/document_loaders/rst.py b/libs/community/langchain_community/document_loaders/rst.py index 5e9feb7181a..310f1bb7c60 100644 --- a/libs/community/langchain_community/document_loaders/rst.py +++ b/libs/community/langchain_community/document_loaders/rst.py @@ -55,4 +55,4 @@ class UnstructuredRSTLoader(UnstructuredFileLoader): def _get_elements(self) -> List: from unstructured.partition.rst import partition_rst - return partition_rst(filename=self.file_path, **self.unstructured_kwargs) + return partition_rst(filename=self.file_path, **self.unstructured_kwargs) # type: ignore[arg-type] diff --git a/libs/community/langchain_community/document_loaders/rtf.py b/libs/community/langchain_community/document_loaders/rtf.py index c5c94934fa6..63128aa8372 100644 --- a/libs/community/langchain_community/document_loaders/rtf.py +++ b/libs/community/langchain_community/document_loaders/rtf.py @@ -61,4 +61,4 @@ class UnstructuredRTFLoader(UnstructuredFileLoader): def _get_elements(self) -> List: from unstructured.partition.rtf import partition_rtf - return partition_rtf(filename=self.file_path, **self.unstructured_kwargs) + return partition_rtf(filename=self.file_path, **self.unstructured_kwargs) # type: ignore[arg-type] diff --git a/libs/community/langchain_community/document_loaders/tsv.py b/libs/community/langchain_community/document_loaders/tsv.py index 7a06b672825..f6d4a085ce7 100644 --- a/libs/community/langchain_community/document_loaders/tsv.py +++ b/libs/community/langchain_community/document_loaders/tsv.py @@ -38,4 +38,4 @@ class UnstructuredTSVLoader(UnstructuredFileLoader): def _get_elements(self) -> List: from unstructured.partition.tsv import partition_tsv - return partition_tsv(filename=self.file_path, **self.unstructured_kwargs) + return partition_tsv(filename=self.file_path, **self.unstructured_kwargs) # type: ignore[arg-type] diff --git a/libs/community/langchain_community/document_loaders/word_document.py b/libs/community/langchain_community/document_loaders/word_document.py index 502ecd0e25a..c7c50575cc7 100644 --- a/libs/community/langchain_community/document_loaders/word_document.py +++ b/libs/community/langchain_community/document_loaders/word_document.py @@ -104,7 +104,7 @@ class UnstructuredWordDocumentLoader(UnstructuredFileLoader): try: import magic # noqa: F401 - is_doc = detect_filetype(self.file_path) == FileType.DOC + is_doc = detect_filetype(self.file_path) == FileType.DOC # type: ignore[arg-type] except ImportError: _, extension = os.path.splitext(str(self.file_path)) is_doc = extension == ".doc" @@ -119,8 +119,8 @@ class UnstructuredWordDocumentLoader(UnstructuredFileLoader): if is_doc: from unstructured.partition.doc import partition_doc - return partition_doc(filename=self.file_path, **self.unstructured_kwargs) + return partition_doc(filename=self.file_path, **self.unstructured_kwargs) # type: ignore[arg-type] else: from unstructured.partition.docx import partition_docx - return partition_docx(filename=self.file_path, **self.unstructured_kwargs) + return partition_docx(filename=self.file_path, **self.unstructured_kwargs) # type: ignore[arg-type] diff --git a/libs/community/langchain_community/document_loaders/xml.py b/libs/community/langchain_community/document_loaders/xml.py index a4757f222b8..1541e3b897e 100644 --- a/libs/community/langchain_community/document_loaders/xml.py +++ b/libs/community/langchain_community/document_loaders/xml.py @@ -46,4 +46,4 @@ class UnstructuredXMLLoader(UnstructuredFileLoader): def _get_elements(self) -> List: from unstructured.partition.xml import partition_xml - return partition_xml(filename=self.file_path, **self.unstructured_kwargs) + return partition_xml(filename=self.file_path, **self.unstructured_kwargs) # type: ignore[arg-type] diff --git a/libs/community/langchain_community/document_transformers/google_translate.py b/libs/community/langchain_community/document_transformers/google_translate.py index 613ab0bdfc1..f5a95ab8510 100644 --- a/libs/community/langchain_community/document_transformers/google_translate.py +++ b/libs/community/langchain_community/document_transformers/google_translate.py @@ -33,7 +33,7 @@ class GoogleTranslateTransformer(BaseDocumentTransformer): """ try: from google.api_core.client_options import ClientOptions - from google.cloud import translate + from google.cloud import translate # type: ignore[attr-defined] except ImportError as exc: raise ImportError( "Install Google Cloud Translate to use this parser." @@ -76,7 +76,7 @@ class GoogleTranslateTransformer(BaseDocumentTransformer): Options: `text/plain`, `text/html` """ try: - from google.cloud import translate + from google.cloud import translate # type: ignore[attr-defined] except ImportError as exc: raise ImportError( "Install Google Cloud Translate to use this parser." diff --git a/libs/community/langchain_community/embeddings/anyscale.py b/libs/community/langchain_community/embeddings/anyscale.py index 76ba0132a1e..82a87c46deb 100644 --- a/libs/community/langchain_community/embeddings/anyscale.py +++ b/libs/community/langchain_community/embeddings/anyscale.py @@ -68,7 +68,7 @@ class AnyscaleEmbeddings(OpenAIEmbeddings): else: values["openai_api_base"] = values["anyscale_api_base"] values["openai_api_key"] = values["anyscale_api_key"].get_secret_value() - values["client"] = openai.Embedding + values["client"] = openai.Embedding # type: ignore[attr-defined] return values @property diff --git a/libs/community/langchain_community/embeddings/azure_openai.py b/libs/community/langchain_community/embeddings/azure_openai.py index b65422320a5..61d1b4d4d3f 100644 --- a/libs/community/langchain_community/embeddings/azure_openai.py +++ b/libs/community/langchain_community/embeddings/azure_openai.py @@ -20,7 +20,7 @@ from langchain_community.utils.openai import is_openai_v1 removal="1.0", alternative_import="langchain_openai.AzureOpenAIEmbeddings", ) -class AzureOpenAIEmbeddings(OpenAIEmbeddings): +class AzureOpenAIEmbeddings(OpenAIEmbeddings): # type: ignore[override] """`Azure OpenAI` Embeddings API.""" azure_endpoint: Union[str, None] = None @@ -167,16 +167,16 @@ class AzureOpenAIEmbeddings(OpenAIEmbeddings): "default_query": self.default_query, "http_client": self.http_client, } - self.client = openai.AzureOpenAI(**client_params).embeddings + self.client = openai.AzureOpenAI(**client_params).embeddings # type: ignore[arg-type, arg-type, arg-type, arg-type, arg-type, arg-type, arg-type, arg-type, arg-type] if self.azure_ad_async_token_provider: client_params["azure_ad_token_provider"] = ( self.azure_ad_async_token_provider ) - self.async_client = openai.AsyncAzureOpenAI(**client_params).embeddings + self.async_client = openai.AsyncAzureOpenAI(**client_params).embeddings # type: ignore[arg-type, arg-type, arg-type, arg-type, arg-type, arg-type, arg-type, arg-type, arg-type] else: - self.client = openai.Embedding + self.client = openai.Embedding # type: ignore[attr-defined] return self @property diff --git a/libs/community/langchain_community/embeddings/localai.py b/libs/community/langchain_community/embeddings/localai.py index 924f162128e..d163bb284fb 100644 --- a/libs/community/langchain_community/embeddings/localai.py +++ b/libs/community/langchain_community/embeddings/localai.py @@ -46,11 +46,11 @@ def _create_retry_decorator(embeddings: LocalAIEmbeddings) -> Callable[[Any], An stop=stop_after_attempt(embeddings.max_retries), wait=wait_exponential(multiplier=1, min=min_seconds, max=max_seconds), retry=( - retry_if_exception_type(openai.error.Timeout) - | retry_if_exception_type(openai.error.APIError) - | retry_if_exception_type(openai.error.APIConnectionError) - | retry_if_exception_type(openai.error.RateLimitError) - | retry_if_exception_type(openai.error.ServiceUnavailableError) + retry_if_exception_type(openai.error.Timeout) # type: ignore[attr-defined] + | retry_if_exception_type(openai.error.APIError) # type: ignore[attr-defined] + | retry_if_exception_type(openai.error.APIConnectionError) # type: ignore[attr-defined] + | retry_if_exception_type(openai.error.RateLimitError) # type: ignore[attr-defined] + | retry_if_exception_type(openai.error.ServiceUnavailableError) # type: ignore[attr-defined] ), before_sleep=before_sleep_log(logger, logging.WARNING), ) @@ -68,11 +68,11 @@ def _async_retry_decorator(embeddings: LocalAIEmbeddings) -> Any: stop=stop_after_attempt(embeddings.max_retries), wait=wait_exponential(multiplier=1, min=min_seconds, max=max_seconds), retry=( - retry_if_exception_type(openai.error.Timeout) - | retry_if_exception_type(openai.error.APIError) - | retry_if_exception_type(openai.error.APIConnectionError) - | retry_if_exception_type(openai.error.RateLimitError) - | retry_if_exception_type(openai.error.ServiceUnavailableError) + retry_if_exception_type(openai.error.Timeout) # type: ignore[attr-defined] + | retry_if_exception_type(openai.error.APIError) # type: ignore[attr-defined] + | retry_if_exception_type(openai.error.APIConnectionError) # type: ignore[attr-defined] + | retry_if_exception_type(openai.error.RateLimitError) # type: ignore[attr-defined] + | retry_if_exception_type(openai.error.ServiceUnavailableError) # type: ignore[attr-defined] ), before_sleep=before_sleep_log(logger, logging.WARNING), ) @@ -93,7 +93,7 @@ def _check_response(response: dict) -> dict: if any(len(d["embedding"]) == 1 for d in response["data"]): import openai - raise openai.error.APIError("LocalAI API returned an empty embedding") + raise openai.error.APIError("LocalAI API returned an empty embedding") # type: ignore[attr-defined] return response @@ -230,7 +230,7 @@ class LocalAIEmbeddings(BaseModel, Embeddings): try: import openai - values["client"] = openai.Embedding + values["client"] = openai.Embedding # type: ignore[attr-defined] except ImportError: raise ImportError( "Could not import openai python package. " @@ -253,7 +253,7 @@ class LocalAIEmbeddings(BaseModel, Embeddings): if self.openai_proxy: import openai - openai.proxy = { + openai.proxy = { # type: ignore[attr-defined] "http": self.openai_proxy, "https": self.openai_proxy, } # type: ignore[assignment] diff --git a/libs/community/langchain_community/embeddings/octoai_embeddings.py b/libs/community/langchain_community/embeddings/octoai_embeddings.py index 102ba313f54..3cbfe01449a 100644 --- a/libs/community/langchain_community/embeddings/octoai_embeddings.py +++ b/libs/community/langchain_community/embeddings/octoai_embeddings.py @@ -74,8 +74,8 @@ class OctoAIEmbeddings(OpenAIEmbeddings): else: values["openai_api_base"] = values["endpoint_url"] values["openai_api_key"] = values["octoai_api_token"].get_secret_value() - values["client"] = openai.Embedding - values["async_client"] = openai.Embedding + values["client"] = openai.Embedding # type: ignore[attr-defined] + values["async_client"] = openai.Embedding # type: ignore[attr-defined] except ImportError: raise ImportError( diff --git a/libs/community/langchain_community/embeddings/openai.py b/libs/community/langchain_community/embeddings/openai.py index 770bb765e81..126fe564ae5 100644 --- a/libs/community/langchain_community/embeddings/openai.py +++ b/libs/community/langchain_community/embeddings/openai.py @@ -58,11 +58,11 @@ def _create_retry_decorator(embeddings: OpenAIEmbeddings) -> Callable[[Any], Any max=embeddings.retry_max_seconds, ), retry=( - retry_if_exception_type(openai.error.Timeout) - | retry_if_exception_type(openai.error.APIError) - | retry_if_exception_type(openai.error.APIConnectionError) - | retry_if_exception_type(openai.error.RateLimitError) - | retry_if_exception_type(openai.error.ServiceUnavailableError) + retry_if_exception_type(openai.error.Timeout) # type: ignore[attr-defined] + | retry_if_exception_type(openai.error.APIError) # type: ignore[attr-defined] + | retry_if_exception_type(openai.error.APIConnectionError) # type: ignore[attr-defined] + | retry_if_exception_type(openai.error.RateLimitError) # type: ignore[attr-defined] + | retry_if_exception_type(openai.error.ServiceUnavailableError) # type: ignore[attr-defined] ), before_sleep=before_sleep_log(logger, logging.WARNING), ) @@ -85,11 +85,11 @@ def _async_retry_decorator(embeddings: OpenAIEmbeddings) -> Any: max=embeddings.retry_max_seconds, ), retry=( - retry_if_exception_type(openai.error.Timeout) - | retry_if_exception_type(openai.error.APIError) - | retry_if_exception_type(openai.error.APIConnectionError) - | retry_if_exception_type(openai.error.RateLimitError) - | retry_if_exception_type(openai.error.ServiceUnavailableError) + retry_if_exception_type(openai.error.Timeout) # type: ignore[attr-defined] + | retry_if_exception_type(openai.error.APIError) # type: ignore[attr-defined] + | retry_if_exception_type(openai.error.APIConnectionError) # type: ignore[attr-defined] + | retry_if_exception_type(openai.error.RateLimitError) # type: ignore[attr-defined] + | retry_if_exception_type(openai.error.ServiceUnavailableError) # type: ignore[attr-defined] ), before_sleep=before_sleep_log(logger, logging.WARNING), ) @@ -110,7 +110,7 @@ def _check_response(response: dict, skip_empty: bool = False) -> dict: if any(len(d["embedding"]) == 1 for d in response["data"]) and not skip_empty: import openai - raise openai.error.APIError("OpenAI API returned an empty embedding") + raise openai.error.APIError("OpenAI API returned an empty embedding") # type: ignore[attr-defined] return response @@ -357,7 +357,7 @@ class OpenAIEmbeddings(BaseModel, Embeddings): **client_params ).embeddings elif not values.get("client"): - values["client"] = openai.Embedding + values["client"] = openai.Embedding # type: ignore[attr-defined] else: pass return values @@ -390,7 +390,7 @@ class OpenAIEmbeddings(BaseModel, Embeddings): "Please install it with `pip install openai`." ) - openai.proxy = { + openai.proxy = { # type: ignore[attr-defined] "http": self.openai_proxy, "https": self.openai_proxy, } # type: ignore[assignment] diff --git a/libs/community/langchain_community/embeddings/spacy_embeddings.py b/libs/community/langchain_community/embeddings/spacy_embeddings.py index 0413741c4df..1d7c6ed4e95 100644 --- a/libs/community/langchain_community/embeddings/spacy_embeddings.py +++ b/libs/community/langchain_community/embeddings/spacy_embeddings.py @@ -55,7 +55,7 @@ class SpacyEmbeddings(BaseModel, Embeddings): # Try to load the spaCy model import spacy - values["nlp"] = spacy.load(model_name) + values["nlp"] = spacy.load(model_name) # type: ignore[arg-type] except OSError: # If the model is not found, raise a ValueError raise ValueError( diff --git a/libs/community/langchain_community/embeddings/vertexai.py b/libs/community/langchain_community/embeddings/vertexai.py index 5cf409e53cb..ea625c216b1 100644 --- a/libs/community/langchain_community/embeddings/vertexai.py +++ b/libs/community/langchain_community/embeddings/vertexai.py @@ -25,7 +25,7 @@ _MIN_BATCH_SIZE = 5 removal="1.0", alternative_import="langchain_google_vertexai.VertexAIEmbeddings", ) -class VertexAIEmbeddings(_VertexAICommon, Embeddings): +class VertexAIEmbeddings(_VertexAICommon, Embeddings): # type: ignore[override] """Google Cloud VertexAI embedding models.""" # Instance context @@ -163,7 +163,8 @@ class VertexAIEmbeddings(_VertexAICommon, Embeddings): DeadlineExceeded, ] retry_decorator = create_base_retry_decorator( - error_types=errors, max_retries=self.max_retries + error_types=errors, # type: ignore[arg-type] + max_retries=self.max_retries, # type: ignore[arg-type] ) @retry_decorator diff --git a/libs/community/langchain_community/graphs/neo4j_graph.py b/libs/community/langchain_community/graphs/neo4j_graph.py index baca74bb3e4..d3e8860c891 100644 --- a/libs/community/langchain_community/graphs/neo4j_graph.py +++ b/libs/community/langchain_community/graphs/neo4j_graph.py @@ -445,20 +445,20 @@ class Neo4jGraph(GraphStore): or e.code == "Neo.DatabaseError.Transaction.TransactionStartFailed" ) - and "in an implicit transaction" in e.message + and "in an implicit transaction" in e.message # type: ignore[operator] ) or ( # isPeriodicCommitError e.code == "Neo.ClientError.Statement.SemanticError" and ( - "in an open transaction is not possible" in e.message - or "tried to execute in an explicit transaction" in e.message + "in an open transaction is not possible" in e.message # type: ignore[operator] + or "tried to execute in an explicit transaction" in e.message # type: ignore[operator] ) ) ): raise # fallback to allow implicit transactions with self._driver.session(database=self._database) as session: - data = session.run(Query(text=query, timeout=self.timeout), params) + data = session.run(Query(text=query, timeout=self.timeout), params) # type: ignore[assignment] json_data = [r.data() for r in data] if self.sanitize: json_data = [value_sanitize(el) for el in json_data] diff --git a/libs/community/langchain_community/llms/anyscale.py b/libs/community/langchain_community/llms/anyscale.py index 2ae364c3906..60e3e2526d0 100644 --- a/libs/community/langchain_community/llms/anyscale.py +++ b/libs/community/langchain_community/llms/anyscale.py @@ -62,7 +62,7 @@ def create_llm_result( return LLMResult(generations=generations, llm_output=llm_output) -class Anyscale(BaseOpenAI): +class Anyscale(BaseOpenAI): # type: ignore[override] """Anyscale large language models. To use, you should have the environment variable ``ANYSCALE_API_KEY``set with your @@ -136,7 +136,7 @@ class Anyscale(BaseOpenAI): else: values["openai_api_base"] = values["anyscale_api_base"] values["openai_api_key"] = values["anyscale_api_key"].get_secret_value() - values["client"] = openai.Completion + values["client"] = openai.Completion # type: ignore[attr-defined] except ImportError: raise ImportError( "Could not import openai python package. " diff --git a/libs/community/langchain_community/llms/beam.py b/libs/community/langchain_community/llms/beam.py index fe8bf5f5ff8..2e7fdcd9388 100644 --- a/libs/community/langchain_community/llms/beam.py +++ b/libs/community/langchain_community/llms/beam.py @@ -19,7 +19,7 @@ DEFAULT_NUM_TRIES = 10 DEFAULT_SLEEP_TIME = 4 -class Beam(LLM): +class Beam(LLM): # type: ignore[override, override, override, override] """Beam API for gpt2 large language model. To use, you should have the ``beam-sdk`` python package installed, diff --git a/libs/community/langchain_community/llms/gooseai.py b/libs/community/langchain_community/llms/gooseai.py index 990dee8758c..e8dc5ec77ef 100644 --- a/libs/community/langchain_community/llms/gooseai.py +++ b/libs/community/langchain_community/llms/gooseai.py @@ -97,8 +97,8 @@ class GooseAI(LLM): import openai openai.api_key = gooseai_api_key.get_secret_value() - openai.api_base = "https://api.goose.ai/v1" - values["client"] = openai.Completion + openai.api_base = "https://api.goose.ai/v1" # type: ignore[attr-defined] + values["client"] = openai.Completion # type: ignore[attr-defined] except ImportError: raise ImportError( "Could not import openai python package. " diff --git a/libs/community/langchain_community/llms/octoai_endpoint.py b/libs/community/langchain_community/llms/octoai_endpoint.py index 7a30c7c65b4..38abe0813f7 100644 --- a/libs/community/langchain_community/llms/octoai_endpoint.py +++ b/libs/community/langchain_community/llms/octoai_endpoint.py @@ -10,7 +10,7 @@ DEFAULT_BASE_URL = "https://text.octoai.run/v1/" DEFAULT_MODEL = "codellama-7b-instruct" -class OctoAIEndpoint(BaseOpenAI): +class OctoAIEndpoint(BaseOpenAI): # type: ignore[override] """OctoAI LLM Endpoints - OpenAI compatible. OctoAIEndpoint is a class to interact with OctoAI Compute Service large @@ -102,7 +102,7 @@ class OctoAIEndpoint(BaseOpenAI): else: values["openai_api_base"] = values["octoai_api_base"] values["openai_api_key"] = values["octoai_api_token"].get_secret_value() - values["client"] = openai.Completion + values["client"] = openai.Completion # type: ignore[attr-defined] except ImportError: raise ImportError( "Could not import openai python package. " diff --git a/libs/community/langchain_community/llms/openai.py b/libs/community/langchain_community/llms/openai.py index 8a2b5d2e0a4..fe74a55105a 100644 --- a/libs/community/langchain_community/llms/openai.py +++ b/libs/community/langchain_community/llms/openai.py @@ -100,11 +100,11 @@ def _create_retry_decorator( import openai errors = [ - openai.error.Timeout, - openai.error.APIError, - openai.error.APIConnectionError, - openai.error.RateLimitError, - openai.error.ServiceUnavailableError, + openai.error.Timeout, # type: ignore[attr-defined] + openai.error.APIError, # type: ignore[attr-defined] + openai.error.APIConnectionError, # type: ignore[attr-defined] + openai.error.RateLimitError, # type: ignore[attr-defined] + openai.error.ServiceUnavailableError, # type: ignore[attr-defined] ] return create_base_retry_decorator( error_types=errors, max_retries=llm.max_retries, run_manager=run_manager @@ -323,7 +323,7 @@ class BaseOpenAI(BaseLLM): if not values.get("async_client"): values["async_client"] = openai.AsyncOpenAI(**client_params).completions elif not values.get("client"): - values["client"] = openai.Completion + values["client"] = openai.Completion # type: ignore[attr-defined] else: pass @@ -607,7 +607,7 @@ class BaseOpenAI(BaseLLM): if self.openai_proxy: import openai - openai.proxy = {"http": self.openai_proxy, "https": self.openai_proxy} # type: ignore[assignment] + openai.proxy = {"http": self.openai_proxy, "https": self.openai_proxy} # type: ignore[assignment] # type: ignore[attr-defined] # type: ignore[attr-defined] # type: ignore[attr-defined] # type: ignore[attr-defined] # type: ignore[attr-defined] # type: ignore[attr-defined] return {**openai_creds, **self._default_params} @property @@ -940,7 +940,7 @@ class AzureOpenAI(BaseOpenAI): ).completions else: - values["client"] = openai.Completion + values["client"] = openai.Completion # type: ignore[attr-defined] return values @@ -1065,18 +1065,18 @@ class OpenAIChat(BaseLLM): openai.api_key = openai_api_key if openai_api_base: - openai.api_base = openai_api_base + openai.api_base = openai_api_base # type: ignore[attr-defined] if openai_organization: openai.organization = openai_organization if openai_proxy: - openai.proxy = {"http": openai_proxy, "https": openai_proxy} # type: ignore[assignment] + openai.proxy = {"http": openai_proxy, "https": openai_proxy} # type: ignore[assignment] # type: ignore[attr-defined] # type: ignore[attr-defined] # type: ignore[attr-defined] # type: ignore[attr-defined] # type: ignore[attr-defined] # type: ignore[attr-defined] except ImportError: raise ImportError( "Could not import openai python package. " "Please install it with `pip install openai`." ) try: - values["client"] = openai.ChatCompletion + values["client"] = openai.ChatCompletion # type: ignore[attr-defined] except AttributeError: raise ValueError( "`openai` has no `ChatCompletion` attribute, this is likely " diff --git a/libs/community/langchain_community/llms/vertexai.py b/libs/community/langchain_community/llms/vertexai.py index 0b42bd535ef..22a1bca8e19 100644 --- a/libs/community/langchain_community/llms/vertexai.py +++ b/libs/community/langchain_community/llms/vertexai.py @@ -124,7 +124,7 @@ class _VertexAIBase(BaseModel): return cls.task_executor -class _VertexAICommon(_VertexAIBase): +class _VertexAICommon(_VertexAIBase): # type: ignore[override] client: "_LanguageModel" = None #: :meta private: client_preview: "_LanguageModel" = None #: :meta private: model_name: str @@ -208,7 +208,7 @@ class _VertexAICommon(_VertexAIBase): removal="1.0", alternative_import="langchain_google_vertexai.VertexAI", ) -class VertexAI(_VertexAICommon, BaseLLM): +class VertexAI(_VertexAICommon, BaseLLM): # type: ignore[override] """Google Vertex AI large language models.""" model_name: str = "text-bison" @@ -401,8 +401,12 @@ class VertexAI(_VertexAICommon, BaseLLM): class VertexAIModelGarden(_VertexAIBase, BaseLLM): """Vertex AI Model Garden large language models.""" - client: "PredictionServiceClient" = None #: :meta private: - async_client: "PredictionServiceAsyncClient" = None #: :meta private: + client: "PredictionServiceClient" = ( + None #: :meta private: # type: ignore[assignment] + ) + async_client: "PredictionServiceAsyncClient" = ( + None #: :meta private: # type: ignore[assignment] + ) endpoint_id: str "A name of an endpoint where the model has been deployed." allowed_model_args: Optional[List[str]] = None @@ -444,7 +448,7 @@ class VertexAIModelGarden(_VertexAIBase, BaseLLM): @property def endpoint_path(self) -> str: return self.client.endpoint_path( - project=self.project, + project=self.project, # type: ignore[arg-type] location=self.location, endpoint=self.endpoint_id, ) diff --git a/libs/community/langchain_community/memory/zep_cloud_memory.py b/libs/community/langchain_community/memory/zep_cloud_memory.py index 24ddb04677c..cc65c11c8a7 100644 --- a/libs/community/langchain_community/memory/zep_cloud_memory.py +++ b/libs/community/langchain_community/memory/zep_cloud_memory.py @@ -8,7 +8,7 @@ try: from langchain.memory import ConversationBufferMemory from zep_cloud import MemoryGetRequestMemoryType - class ZepCloudMemory(ConversationBufferMemory): + class ZepCloudMemory(ConversationBufferMemory): # type: ignore[override] """Persist your chain history to the Zep MemoryStore. Documentation: https://help.getzep.com diff --git a/libs/community/langchain_community/memory/zep_memory.py b/libs/community/langchain_community/memory/zep_memory.py index 80d7caad0cb..3f05febc3ae 100644 --- a/libs/community/langchain_community/memory/zep_memory.py +++ b/libs/community/langchain_community/memory/zep_memory.py @@ -7,7 +7,7 @@ from langchain_community.chat_message_histories import ZepChatMessageHistory try: from langchain.memory import ConversationBufferMemory - class ZepMemory(ConversationBufferMemory): + class ZepMemory(ConversationBufferMemory): # type: ignore[override] """Persist your chain history to the Zep MemoryStore. The number of messages returned by Zep and when the Zep server summarizes chat diff --git a/libs/community/langchain_community/tools/ainetwork/app.py b/libs/community/langchain_community/tools/ainetwork/app.py index 8175a210b70..98f83c5d366 100644 --- a/libs/community/langchain_community/tools/ainetwork/app.py +++ b/libs/community/langchain_community/tools/ainetwork/app.py @@ -30,7 +30,7 @@ class AppSchema(BaseModel): ) -class AINAppOps(AINBaseTool): +class AINAppOps(AINBaseTool): # type: ignore[override, override] """Tool for app operations.""" name: str = "AINappOps" diff --git a/libs/community/langchain_community/tools/ainetwork/base.py b/libs/community/langchain_community/tools/ainetwork/base.py index 00e4fc7f7a2..a973412bd6f 100644 --- a/libs/community/langchain_community/tools/ainetwork/base.py +++ b/libs/community/langchain_community/tools/ainetwork/base.py @@ -22,7 +22,7 @@ class OperationType(str, Enum): GET = "GET" -class AINBaseTool(BaseTool): +class AINBaseTool(BaseTool): # type: ignore[override] """Base class for the AINetwork tools.""" interface: Ain = Field(default_factory=authenticate) diff --git a/libs/community/langchain_community/tools/ainetwork/owner.py b/libs/community/langchain_community/tools/ainetwork/owner.py index 13d41d93273..fdd15ed65a1 100644 --- a/libs/community/langchain_community/tools/ainetwork/owner.py +++ b/libs/community/langchain_community/tools/ainetwork/owner.py @@ -30,7 +30,7 @@ class RuleSchema(BaseModel): ) -class AINOwnerOps(AINBaseTool): +class AINOwnerOps(AINBaseTool): # type: ignore[override, override] """Tool for owner operations.""" name: str = "AINownerOps" diff --git a/libs/community/langchain_community/tools/ainetwork/rule.py b/libs/community/langchain_community/tools/ainetwork/rule.py index 5a24c9e5aba..9a210501753 100644 --- a/libs/community/langchain_community/tools/ainetwork/rule.py +++ b/libs/community/langchain_community/tools/ainetwork/rule.py @@ -16,7 +16,7 @@ class RuleSchema(BaseModel): eval: Optional[str] = Field(None, description="eval string to determine permission") -class AINRuleOps(AINBaseTool): +class AINRuleOps(AINBaseTool): # type: ignore[override, override] """Tool for owner operations.""" name: str = "AINruleOps" diff --git a/libs/community/langchain_community/tools/ainetwork/transfer.py b/libs/community/langchain_community/tools/ainetwork/transfer.py index 81d630af2e3..ff8d307948b 100644 --- a/libs/community/langchain_community/tools/ainetwork/transfer.py +++ b/libs/community/langchain_community/tools/ainetwork/transfer.py @@ -14,7 +14,7 @@ class TransferSchema(BaseModel): amount: int = Field(..., description="Amount of AIN to transfer") -class AINTransfer(AINBaseTool): +class AINTransfer(AINBaseTool): # type: ignore[override, override] """Tool for transfer operations.""" name: str = "AINtransfer" diff --git a/libs/community/langchain_community/tools/ainetwork/value.py b/libs/community/langchain_community/tools/ainetwork/value.py index be6414727f5..cd521154318 100644 --- a/libs/community/langchain_community/tools/ainetwork/value.py +++ b/libs/community/langchain_community/tools/ainetwork/value.py @@ -18,7 +18,7 @@ class ValueSchema(BaseModel): ) -class AINValueOps(AINBaseTool): +class AINValueOps(AINBaseTool): # type: ignore[override, override] """Tool for value operations.""" name: str = "AINvalueOps" diff --git a/libs/community/langchain_community/tools/amadeus/base.py b/libs/community/langchain_community/tools/amadeus/base.py index 3fd3f377ce2..9a8d5473ade 100644 --- a/libs/community/langchain_community/tools/amadeus/base.py +++ b/libs/community/langchain_community/tools/amadeus/base.py @@ -13,7 +13,7 @@ if TYPE_CHECKING: from amadeus import Client -class AmadeusBaseTool(BaseTool): +class AmadeusBaseTool(BaseTool): # type: ignore[override] """Base Tool for Amadeus.""" client: Client = Field(default_factory=authenticate) diff --git a/libs/community/langchain_community/tools/amadeus/closest_airport.py b/libs/community/langchain_community/tools/amadeus/closest_airport.py index 9523f73afbb..71af3c2b08b 100644 --- a/libs/community/langchain_community/tools/amadeus/closest_airport.py +++ b/libs/community/langchain_community/tools/amadeus/closest_airport.py @@ -27,7 +27,7 @@ class ClosestAirportSchema(BaseModel): ) -class AmadeusClosestAirport(AmadeusBaseTool): +class AmadeusClosestAirport(AmadeusBaseTool): # type: ignore[override, override, override] """Tool for finding the closest airport to a particular location.""" name: str = "closest_airport" diff --git a/libs/community/langchain_community/tools/amadeus/flight_search.py b/libs/community/langchain_community/tools/amadeus/flight_search.py index c3cd8fe7bb9..5dd32047c1d 100644 --- a/libs/community/langchain_community/tools/amadeus/flight_search.py +++ b/libs/community/langchain_community/tools/amadeus/flight_search.py @@ -51,7 +51,7 @@ class FlightSearchSchema(BaseModel): ) -class AmadeusFlightSearch(AmadeusBaseTool): +class AmadeusFlightSearch(AmadeusBaseTool): # type: ignore[override, override] """Tool for searching for a single flight between two airports.""" name: str = "single_flight_search" diff --git a/libs/community/langchain_community/tools/arxiv/tool.py b/libs/community/langchain_community/tools/arxiv/tool.py index 601022a1325..1d2fb5aa831 100644 --- a/libs/community/langchain_community/tools/arxiv/tool.py +++ b/libs/community/langchain_community/tools/arxiv/tool.py @@ -15,7 +15,7 @@ class ArxivInput(BaseModel): query: str = Field(description="search query to look up") -class ArxivQueryRun(BaseTool): +class ArxivQueryRun(BaseTool): # type: ignore[override, override] """Tool that searches the Arxiv API.""" name: str = "arxiv" diff --git a/libs/community/langchain_community/tools/asknews/tool.py b/libs/community/langchain_community/tools/asknews/tool.py index 7589d11078b..60cc7bf34c7 100644 --- a/libs/community/langchain_community/tools/asknews/tool.py +++ b/libs/community/langchain_community/tools/asknews/tool.py @@ -6,7 +6,7 @@ To use this tool, you must first set your credentials as environment variables: ASKNEWS_CLIENT_SECRET """ -from typing import Optional, Type +from typing import Any, Optional, Type from langchain_core.callbacks import ( AsyncCallbackManagerForToolRun, @@ -34,7 +34,7 @@ class SearchInput(BaseModel): ) -class AskNewsSearch(BaseTool): +class AskNewsSearch(BaseTool): # type: ignore[override] """Tool that searches the AskNews API.""" name: str = "asknews_search" @@ -45,13 +45,14 @@ class AskNewsSearch(BaseTool): ) api_wrapper: AskNewsAPIWrapper = Field(default_factory=AskNewsAPIWrapper) # type: ignore[arg-type] max_results: int = 10 - args_schema: Type[BaseModel] = SearchInput + args_schema: Optional[Type[BaseModel]] = SearchInput def _run( self, query: str, hours_back: int = 0, run_manager: Optional[CallbackManagerForToolRun] = None, + **kwargs: Any, ) -> str: """Use the tool.""" try: @@ -68,6 +69,7 @@ class AskNewsSearch(BaseTool): query: str, hours_back: int = 0, run_manager: Optional[AsyncCallbackManagerForToolRun] = None, + **kwargs: Any, ) -> str: """Use the tool asynchronously.""" try: diff --git a/libs/community/langchain_community/tools/audio/huggingface_text_to_speech_inference.py b/libs/community/langchain_community/tools/audio/huggingface_text_to_speech_inference.py index bbe5f7d47c2..bce7c841306 100644 --- a/libs/community/langchain_community/tools/audio/huggingface_text_to_speech_inference.py +++ b/libs/community/langchain_community/tools/audio/huggingface_text_to_speech_inference.py @@ -12,7 +12,7 @@ from pydantic import SecretStr logger = logging.getLogger(__name__) -class HuggingFaceTextToSpeechModelInference(BaseTool): +class HuggingFaceTextToSpeechModelInference(BaseTool): # type: ignore[override] """HuggingFace Text-to-Speech Model Inference. Requirements: diff --git a/libs/community/langchain_community/tools/azure_ai_services/document_intelligence.py b/libs/community/langchain_community/tools/azure_ai_services/document_intelligence.py index cd0ac25018e..994fd13e646 100644 --- a/libs/community/langchain_community/tools/azure_ai_services/document_intelligence.py +++ b/libs/community/langchain_community/tools/azure_ai_services/document_intelligence.py @@ -15,7 +15,7 @@ from langchain_community.tools.azure_ai_services.utils import ( logger = logging.getLogger(__name__) -class AzureAiServicesDocumentIntelligenceTool(BaseTool): +class AzureAiServicesDocumentIntelligenceTool(BaseTool): # type: ignore[override] """Tool that queries the Azure AI Services Document Intelligence API. In order to set this up, follow instructions at: diff --git a/libs/community/langchain_community/tools/azure_ai_services/image_analysis.py b/libs/community/langchain_community/tools/azure_ai_services/image_analysis.py index 0a1e206e45e..856233360c5 100644 --- a/libs/community/langchain_community/tools/azure_ai_services/image_analysis.py +++ b/libs/community/langchain_community/tools/azure_ai_services/image_analysis.py @@ -15,7 +15,7 @@ from langchain_community.tools.azure_ai_services.utils import ( logger = logging.getLogger(__name__) -class AzureAiServicesImageAnalysisTool(BaseTool): +class AzureAiServicesImageAnalysisTool(BaseTool): # type: ignore[override] """Tool that queries the Azure AI Services Image Analysis API. In order to set this up, follow instructions at: diff --git a/libs/community/langchain_community/tools/azure_ai_services/speech_to_text.py b/libs/community/langchain_community/tools/azure_ai_services/speech_to_text.py index 15e08d27222..b10c0323427 100644 --- a/libs/community/langchain_community/tools/azure_ai_services/speech_to_text.py +++ b/libs/community/langchain_community/tools/azure_ai_services/speech_to_text.py @@ -17,7 +17,7 @@ from langchain_community.tools.azure_ai_services.utils import ( logger = logging.getLogger(__name__) -class AzureAiServicesSpeechToTextTool(BaseTool): +class AzureAiServicesSpeechToTextTool(BaseTool): # type: ignore[override] """Tool that queries the Azure AI Services Speech to Text API. In order to set this up, follow instructions at: diff --git a/libs/community/langchain_community/tools/azure_ai_services/text_analytics_for_health.py b/libs/community/langchain_community/tools/azure_ai_services/text_analytics_for_health.py index 6447c5de418..b47b29210fd 100644 --- a/libs/community/langchain_community/tools/azure_ai_services/text_analytics_for_health.py +++ b/libs/community/langchain_community/tools/azure_ai_services/text_analytics_for_health.py @@ -11,7 +11,7 @@ from pydantic import model_validator logger = logging.getLogger(__name__) -class AzureAiServicesTextAnalyticsForHealthTool(BaseTool): +class AzureAiServicesTextAnalyticsForHealthTool(BaseTool): # type: ignore[override] """Tool that queries the Azure AI Services Text Analytics for Health API. In order to set this up, follow instructions at: diff --git a/libs/community/langchain_community/tools/azure_ai_services/text_to_speech.py b/libs/community/langchain_community/tools/azure_ai_services/text_to_speech.py index 1291e2dac56..605a97998e3 100644 --- a/libs/community/langchain_community/tools/azure_ai_services/text_to_speech.py +++ b/libs/community/langchain_community/tools/azure_ai_services/text_to_speech.py @@ -12,7 +12,7 @@ from pydantic import model_validator logger = logging.getLogger(__name__) -class AzureAiServicesTextToSpeechTool(BaseTool): +class AzureAiServicesTextToSpeechTool(BaseTool): # type: ignore[override] """Tool that queries the Azure AI Services Text to Speech API. In order to set this up, follow instructions at: diff --git a/libs/community/langchain_community/tools/azure_cognitive_services/form_recognizer.py b/libs/community/langchain_community/tools/azure_cognitive_services/form_recognizer.py index 937b1fc7930..6789787bcc9 100644 --- a/libs/community/langchain_community/tools/azure_cognitive_services/form_recognizer.py +++ b/libs/community/langchain_community/tools/azure_cognitive_services/form_recognizer.py @@ -15,7 +15,7 @@ from langchain_community.tools.azure_cognitive_services.utils import ( logger = logging.getLogger(__name__) -class AzureCogsFormRecognizerTool(BaseTool): +class AzureCogsFormRecognizerTool(BaseTool): # type: ignore[override] """Tool that queries the Azure Cognitive Services Form Recognizer API. In order to set this up, follow instructions at: diff --git a/libs/community/langchain_community/tools/azure_cognitive_services/image_analysis.py b/libs/community/langchain_community/tools/azure_cognitive_services/image_analysis.py index ce076243a7b..c4223d24a7c 100644 --- a/libs/community/langchain_community/tools/azure_cognitive_services/image_analysis.py +++ b/libs/community/langchain_community/tools/azure_cognitive_services/image_analysis.py @@ -15,7 +15,7 @@ from langchain_community.tools.azure_cognitive_services.utils import ( logger = logging.getLogger(__name__) -class AzureCogsImageAnalysisTool(BaseTool): +class AzureCogsImageAnalysisTool(BaseTool): # type: ignore[override] """Tool that queries the Azure Cognitive Services Image Analysis API. In order to set this up, follow instructions at: diff --git a/libs/community/langchain_community/tools/azure_cognitive_services/speech2text.py b/libs/community/langchain_community/tools/azure_cognitive_services/speech2text.py index 125c910df1b..3a809550600 100644 --- a/libs/community/langchain_community/tools/azure_cognitive_services/speech2text.py +++ b/libs/community/langchain_community/tools/azure_cognitive_services/speech2text.py @@ -17,7 +17,7 @@ from langchain_community.tools.azure_cognitive_services.utils import ( logger = logging.getLogger(__name__) -class AzureCogsSpeech2TextTool(BaseTool): +class AzureCogsSpeech2TextTool(BaseTool): # type: ignore[override] """Tool that queries the Azure Cognitive Services Speech2Text API. In order to set this up, follow instructions at: diff --git a/libs/community/langchain_community/tools/azure_cognitive_services/text2speech.py b/libs/community/langchain_community/tools/azure_cognitive_services/text2speech.py index 343653fe9c3..c6692561806 100644 --- a/libs/community/langchain_community/tools/azure_cognitive_services/text2speech.py +++ b/libs/community/langchain_community/tools/azure_cognitive_services/text2speech.py @@ -12,7 +12,7 @@ from pydantic import model_validator logger = logging.getLogger(__name__) -class AzureCogsText2SpeechTool(BaseTool): +class AzureCogsText2SpeechTool(BaseTool): # type: ignore[override] """Tool that queries the Azure Cognitive Services Text2Speech API. In order to set this up, follow instructions at: diff --git a/libs/community/langchain_community/tools/azure_cognitive_services/text_analytics_health.py b/libs/community/langchain_community/tools/azure_cognitive_services/text_analytics_health.py index 1de8566528f..0827cb9b93c 100644 --- a/libs/community/langchain_community/tools/azure_cognitive_services/text_analytics_health.py +++ b/libs/community/langchain_community/tools/azure_cognitive_services/text_analytics_health.py @@ -11,7 +11,7 @@ from pydantic import model_validator logger = logging.getLogger(__name__) -class AzureCogsTextAnalyticsHealthTool(BaseTool): +class AzureCogsTextAnalyticsHealthTool(BaseTool): # type: ignore[override] """Tool that queries the Azure Cognitive Services Text Analytics for Health API. In order to set this up, follow instructions at: diff --git a/libs/community/langchain_community/tools/bing_search/tool.py b/libs/community/langchain_community/tools/bing_search/tool.py index 9c05405f825..413b1f70cf8 100644 --- a/libs/community/langchain_community/tools/bing_search/tool.py +++ b/libs/community/langchain_community/tools/bing_search/tool.py @@ -8,7 +8,7 @@ from langchain_core.tools import BaseTool from langchain_community.utilities.bing_search import BingSearchAPIWrapper -class BingSearchRun(BaseTool): +class BingSearchRun(BaseTool): # type: ignore[override] """Tool that queries the Bing search API.""" name: str = "bing_search" @@ -28,7 +28,7 @@ class BingSearchRun(BaseTool): return self.api_wrapper.run(query) -class BingSearchResults(BaseTool): +class BingSearchResults(BaseTool): # type: ignore[override, override] """Bing Search tool. Setup: diff --git a/libs/community/langchain_community/tools/brave_search/tool.py b/libs/community/langchain_community/tools/brave_search/tool.py index 4ca8d68501e..be8d8ae41d1 100644 --- a/libs/community/langchain_community/tools/brave_search/tool.py +++ b/libs/community/langchain_community/tools/brave_search/tool.py @@ -8,7 +8,7 @@ from langchain_core.tools import BaseTool from langchain_community.utilities.brave_search import BraveSearchWrapper -class BraveSearch(BaseTool): +class BraveSearch(BaseTool): # type: ignore[override] """Tool that queries the BraveSearch.""" name: str = "brave_search" diff --git a/libs/community/langchain_community/tools/cassandra_database/tool.py b/libs/community/langchain_community/tools/cassandra_database/tool.py index ab6e502fb08..b86e2a79bd3 100644 --- a/libs/community/langchain_community/tools/cassandra_database/tool.py +++ b/libs/community/langchain_community/tools/cassandra_database/tool.py @@ -29,7 +29,7 @@ class _QueryCassandraDatabaseToolInput(BaseModel): query: str = Field(..., description="A detailed and correct CQL query.") -class QueryCassandraDatabaseTool(BaseCassandraDatabaseTool, BaseTool): +class QueryCassandraDatabaseTool(BaseCassandraDatabaseTool, BaseTool): # type: ignore[override, override] """Tool for querying an Apache Cassandra database with provided CQL.""" name: str = "cassandra_db_query" @@ -60,7 +60,7 @@ class _GetSchemaCassandraDatabaseToolInput(BaseModel): ) -class GetSchemaCassandraDatabaseTool(BaseCassandraDatabaseTool, BaseTool): +class GetSchemaCassandraDatabaseTool(BaseCassandraDatabaseTool, BaseTool): # type: ignore[override, override] """Tool for getting the schema of a keyspace in an Apache Cassandra database.""" name: str = "cassandra_db_schema" @@ -107,7 +107,7 @@ class _GetTableDataCassandraDatabaseToolInput(BaseModel): ) -class GetTableDataCassandraDatabaseTool(BaseCassandraDatabaseTool, BaseTool): +class GetTableDataCassandraDatabaseTool(BaseCassandraDatabaseTool, BaseTool): # type: ignore[override, override] """ Tool for getting data from a table in an Apache Cassandra database. Use the WHERE clause to specify the predicate for the query that uses the diff --git a/libs/community/langchain_community/tools/clickup/tool.py b/libs/community/langchain_community/tools/clickup/tool.py index 03b3fde586c..7b0cac67ced 100644 --- a/libs/community/langchain_community/tools/clickup/tool.py +++ b/libs/community/langchain_community/tools/clickup/tool.py @@ -26,7 +26,7 @@ from pydantic import Field from langchain_community.utilities.clickup import ClickupAPIWrapper -class ClickupAction(BaseTool): +class ClickupAction(BaseTool): # type: ignore[override] """Tool that queries the Clickup API.""" api_wrapper: ClickupAPIWrapper = Field(default_factory=ClickupAPIWrapper) diff --git a/libs/community/langchain_community/tools/cogniswitch/tool.py b/libs/community/langchain_community/tools/cogniswitch/tool.py index 41c9663fb5e..1dc62b9e5c2 100644 --- a/libs/community/langchain_community/tools/cogniswitch/tool.py +++ b/libs/community/langchain_community/tools/cogniswitch/tool.py @@ -7,7 +7,7 @@ from langchain_core.callbacks import CallbackManagerForToolRun from langchain_core.tools import BaseTool -class CogniswitchKnowledgeRequest(BaseTool): +class CogniswitchKnowledgeRequest(BaseTool): # type: ignore[override] """Tool that uses the Cogniswitch service to answer questions. name: str = "cogniswitch_knowledge_request" @@ -80,7 +80,7 @@ class CogniswitchKnowledgeRequest(BaseTool): return response.json() -class CogniswitchKnowledgeStatus(BaseTool): +class CogniswitchKnowledgeStatus(BaseTool): # type: ignore[override] """Tool that uses the Cogniswitch services to get the status of the document or url uploaded. @@ -180,7 +180,7 @@ class CogniswitchKnowledgeStatus(BaseTool): } -class CogniswitchKnowledgeSourceFile(BaseTool): +class CogniswitchKnowledgeSourceFile(BaseTool): # type: ignore[override] """Tool that uses the Cogniswitch services to store data from file. name: str = "cogniswitch_knowledge_source_file" @@ -293,7 +293,7 @@ class CogniswitchKnowledgeSourceFile(BaseTool): return {"message": "Bad Request"} -class CogniswitchKnowledgeSourceURL(BaseTool): +class CogniswitchKnowledgeSourceURL(BaseTool): # type: ignore[override] """Tool that uses the Cogniswitch services to store data from a URL. name: str = "cogniswitch_knowledge_source_url" diff --git a/libs/community/langchain_community/tools/connery/tool.py b/libs/community/langchain_community/tools/connery/tool.py index d74bfc1743e..2bb0713493b 100644 --- a/libs/community/langchain_community/tools/connery/tool.py +++ b/libs/community/langchain_community/tools/connery/tool.py @@ -12,7 +12,7 @@ from pydantic import BaseModel, Field, create_model, model_validator from langchain_community.tools.connery.models import Action, Parameter -class ConneryAction(BaseTool): +class ConneryAction(BaseTool): # type: ignore[override, override] """Connery Action tool.""" name: str diff --git a/libs/community/langchain_community/tools/dataforseo_api_search/tool.py b/libs/community/langchain_community/tools/dataforseo_api_search/tool.py index 65bf1ec22cd..8adc8b9ab86 100644 --- a/libs/community/langchain_community/tools/dataforseo_api_search/tool.py +++ b/libs/community/langchain_community/tools/dataforseo_api_search/tool.py @@ -12,7 +12,7 @@ from pydantic import Field from langchain_community.utilities.dataforseo_api_search import DataForSeoAPIWrapper -class DataForSeoAPISearchRun(BaseTool): +class DataForSeoAPISearchRun(BaseTool): # type: ignore[override] """Tool that queries the DataForSeo Google search API.""" name: str = "dataforseo_api_search" @@ -40,7 +40,7 @@ class DataForSeoAPISearchRun(BaseTool): return (await self.api_wrapper.arun(query)).__str__() -class DataForSeoAPISearchResults(BaseTool): +class DataForSeoAPISearchResults(BaseTool): # type: ignore[override] """Tool that queries the DataForSeo Google Search API and get back json.""" diff --git a/libs/community/langchain_community/tools/dataherald/tool.py b/libs/community/langchain_community/tools/dataherald/tool.py index 2a2546a3283..56b02e70186 100644 --- a/libs/community/langchain_community/tools/dataherald/tool.py +++ b/libs/community/langchain_community/tools/dataherald/tool.py @@ -15,7 +15,7 @@ class DataheraldTextToSQLInput(BaseModel): ) -class DataheraldTextToSQL(BaseTool): +class DataheraldTextToSQL(BaseTool): # type: ignore[override, override] """Tool that queries using the Dataherald SDK.""" name: str = "dataherald" diff --git a/libs/community/langchain_community/tools/ddg_search/tool.py b/libs/community/langchain_community/tools/ddg_search/tool.py index 7db9b77da42..e5c28cb1f68 100644 --- a/libs/community/langchain_community/tools/ddg_search/tool.py +++ b/libs/community/langchain_community/tools/ddg_search/tool.py @@ -17,7 +17,7 @@ class DDGInput(BaseModel): query: str = Field(description="search query to look up") -class DuckDuckGoSearchRun(BaseTool): +class DuckDuckGoSearchRun(BaseTool): # type: ignore[override, override] """DuckDuckGo tool. Setup: @@ -74,7 +74,7 @@ class DuckDuckGoSearchRun(BaseTool): return self.api_wrapper.run(query) -class DuckDuckGoSearchResults(BaseTool): +class DuckDuckGoSearchResults(BaseTool): # type: ignore[override, override] """Tool that queries the DuckDuckGo search API and returns the results in `output_format`.""" diff --git a/libs/community/langchain_community/tools/e2b_data_analysis/tool.py b/libs/community/langchain_community/tools/e2b_data_analysis/tool.py index f9705086a98..0078637d96c 100644 --- a/libs/community/langchain_community/tools/e2b_data_analysis/tool.py +++ b/libs/community/langchain_community/tools/e2b_data_analysis/tool.py @@ -93,7 +93,7 @@ class E2BDataAnalysisToolArguments(BaseModel): ) -class E2BDataAnalysisTool(BaseTool): +class E2BDataAnalysisTool(BaseTool): # type: ignore[override, override] """Tool for running python code in a sandboxed environment for data analysis.""" name: str = "e2b_data_analysis" diff --git a/libs/community/langchain_community/tools/edenai/audio_speech_to_text.py b/libs/community/langchain_community/tools/edenai/audio_speech_to_text.py index c0fc870ef2d..b4a218dc3da 100644 --- a/libs/community/langchain_community/tools/edenai/audio_speech_to_text.py +++ b/libs/community/langchain_community/tools/edenai/audio_speech_to_text.py @@ -18,7 +18,7 @@ class SpeechToTextInput(BaseModel): query: HttpUrl = Field(description="url of the audio to analyze") -class EdenAiSpeechToTextTool(EdenaiTool): +class EdenAiSpeechToTextTool(EdenaiTool): # type: ignore[override, override, override] """Tool that queries the Eden AI Speech To Text API. for api reference check edenai documentation: diff --git a/libs/community/langchain_community/tools/edenai/audio_text_to_speech.py b/libs/community/langchain_community/tools/edenai/audio_text_to_speech.py index d17c0854f9e..8c88060b75a 100644 --- a/libs/community/langchain_community/tools/edenai/audio_text_to_speech.py +++ b/libs/community/langchain_community/tools/edenai/audio_text_to_speech.py @@ -16,7 +16,7 @@ class TextToSpeechInput(BaseModel): query: str = Field(description="text to generate audio from") -class EdenAiTextToSpeechTool(EdenaiTool): +class EdenAiTextToSpeechTool(EdenaiTool): # type: ignore[override, override, override] """Tool that queries the Eden AI Text to speech API. for api reference check edenai documentation: https://docs.edenai.co/reference/audio_text_to_speech_create. diff --git a/libs/community/langchain_community/tools/edenai/edenai_base_tool.py b/libs/community/langchain_community/tools/edenai/edenai_base_tool.py index c4f55479992..6c802bbf72a 100644 --- a/libs/community/langchain_community/tools/edenai/edenai_base_tool.py +++ b/libs/community/langchain_community/tools/edenai/edenai_base_tool.py @@ -13,7 +13,7 @@ from pydantic import Field, SecretStr logger = logging.getLogger(__name__) -class EdenaiTool(BaseTool): +class EdenaiTool(BaseTool): # type: ignore[override] """ the base tool for all the EdenAI Tools . you should have diff --git a/libs/community/langchain_community/tools/edenai/image_explicitcontent.py b/libs/community/langchain_community/tools/edenai/image_explicitcontent.py index 50f9f24338a..11dfa02df0e 100644 --- a/libs/community/langchain_community/tools/edenai/image_explicitcontent.py +++ b/libs/community/langchain_community/tools/edenai/image_explicitcontent.py @@ -15,7 +15,7 @@ class ExplicitImageInput(BaseModel): query: HttpUrl = Field(description="url of the image to analyze") -class EdenAiExplicitImageTool(EdenaiTool): +class EdenAiExplicitImageTool(EdenaiTool): # type: ignore[override, override, override] """Tool that queries the Eden AI Explicit image detection. for api reference check edenai documentation: diff --git a/libs/community/langchain_community/tools/edenai/image_objectdetection.py b/libs/community/langchain_community/tools/edenai/image_objectdetection.py index aedfe56b883..cb8209f577c 100644 --- a/libs/community/langchain_community/tools/edenai/image_objectdetection.py +++ b/libs/community/langchain_community/tools/edenai/image_objectdetection.py @@ -15,7 +15,7 @@ class ObjectDetectionInput(BaseModel): query: HttpUrl = Field(description="url of the image to analyze") -class EdenAiObjectDetectionTool(EdenaiTool): +class EdenAiObjectDetectionTool(EdenaiTool): # type: ignore[override, override, override] """Tool that queries the Eden AI Object detection API. for api reference check edenai documentation: diff --git a/libs/community/langchain_community/tools/edenai/ocr_identityparser.py b/libs/community/langchain_community/tools/edenai/ocr_identityparser.py index f2270345917..74b0e9cefc2 100644 --- a/libs/community/langchain_community/tools/edenai/ocr_identityparser.py +++ b/libs/community/langchain_community/tools/edenai/ocr_identityparser.py @@ -15,7 +15,7 @@ class IDParsingInput(BaseModel): query: HttpUrl = Field(description="url of the document to parse") -class EdenAiParsingIDTool(EdenaiTool): +class EdenAiParsingIDTool(EdenaiTool): # type: ignore[override, override, override] """Tool that queries the Eden AI Identity parsing API. for api reference check edenai documentation: diff --git a/libs/community/langchain_community/tools/edenai/ocr_invoiceparser.py b/libs/community/langchain_community/tools/edenai/ocr_invoiceparser.py index d5266476784..e84d514ccac 100644 --- a/libs/community/langchain_community/tools/edenai/ocr_invoiceparser.py +++ b/libs/community/langchain_community/tools/edenai/ocr_invoiceparser.py @@ -15,7 +15,7 @@ class InvoiceParsingInput(BaseModel): query: HttpUrl = Field(description="url of the document to parse") -class EdenAiParsingInvoiceTool(EdenaiTool): +class EdenAiParsingInvoiceTool(EdenaiTool): # type: ignore[override, override, override] """Tool that queries the Eden AI Invoice parsing API. for api reference check edenai documentation: diff --git a/libs/community/langchain_community/tools/edenai/text_moderation.py b/libs/community/langchain_community/tools/edenai/text_moderation.py index f5f8497ff3c..319f87702a6 100644 --- a/libs/community/langchain_community/tools/edenai/text_moderation.py +++ b/libs/community/langchain_community/tools/edenai/text_moderation.py @@ -15,7 +15,7 @@ class TextModerationInput(BaseModel): query: str = Field(description="Text to moderate") -class EdenAiTextModerationTool(EdenaiTool): +class EdenAiTextModerationTool(EdenaiTool): # type: ignore[override, override, override] """Tool that queries the Eden AI Explicit text detection. for api reference check edenai documentation: diff --git a/libs/community/langchain_community/tools/eleven_labs/text2speech.py b/libs/community/langchain_community/tools/eleven_labs/text2speech.py index 333dfb6bb64..9f56647caf5 100644 --- a/libs/community/langchain_community/tools/eleven_labs/text2speech.py +++ b/libs/community/langchain_community/tools/eleven_labs/text2speech.py @@ -25,7 +25,7 @@ class ElevenLabsModel(str, Enum): MONO_LINGUAL = "eleven_monolingual_v1" -class ElevenLabsText2SpeechTool(BaseTool): +class ElevenLabsText2SpeechTool(BaseTool): # type: ignore[override] """Tool that queries the Eleven Labs Text2Speech API. In order to set this up, follow instructions at: diff --git a/libs/community/langchain_community/tools/file_management/copy.py b/libs/community/langchain_community/tools/file_management/copy.py index 7679e3c43be..209f217b751 100644 --- a/libs/community/langchain_community/tools/file_management/copy.py +++ b/libs/community/langchain_community/tools/file_management/copy.py @@ -19,7 +19,7 @@ class FileCopyInput(BaseModel): destination_path: str = Field(..., description="Path to save the copied file") -class CopyFileTool(BaseFileToolMixin, BaseTool): +class CopyFileTool(BaseFileToolMixin, BaseTool): # type: ignore[override, override] """Tool that copies a file.""" name: str = "copy_file" diff --git a/libs/community/langchain_community/tools/file_management/delete.py b/libs/community/langchain_community/tools/file_management/delete.py index 33f4b70b28d..e840875807d 100644 --- a/libs/community/langchain_community/tools/file_management/delete.py +++ b/libs/community/langchain_community/tools/file_management/delete.py @@ -18,7 +18,7 @@ class FileDeleteInput(BaseModel): file_path: str = Field(..., description="Path of the file to delete") -class DeleteFileTool(BaseFileToolMixin, BaseTool): +class DeleteFileTool(BaseFileToolMixin, BaseTool): # type: ignore[override, override] """Tool that deletes a file.""" name: str = "file_delete" diff --git a/libs/community/langchain_community/tools/file_management/file_search.py b/libs/community/langchain_community/tools/file_management/file_search.py index a00aee40b4b..02b2e1dd44b 100644 --- a/libs/community/langchain_community/tools/file_management/file_search.py +++ b/libs/community/langchain_community/tools/file_management/file_search.py @@ -26,7 +26,7 @@ class FileSearchInput(BaseModel): ) -class FileSearchTool(BaseFileToolMixin, BaseTool): +class FileSearchTool(BaseFileToolMixin, BaseTool): # type: ignore[override, override] """Tool that searches for files in a subdirectory that match a regex pattern.""" name: str = "file_search" diff --git a/libs/community/langchain_community/tools/file_management/list_dir.py b/libs/community/langchain_community/tools/file_management/list_dir.py index a8bfdc8e3ab..a2ffc6494f0 100644 --- a/libs/community/langchain_community/tools/file_management/list_dir.py +++ b/libs/community/langchain_community/tools/file_management/list_dir.py @@ -18,7 +18,7 @@ class DirectoryListingInput(BaseModel): dir_path: str = Field(default=".", description="Subdirectory to list.") -class ListDirectoryTool(BaseFileToolMixin, BaseTool): +class ListDirectoryTool(BaseFileToolMixin, BaseTool): # type: ignore[override, override] """Tool that lists files and directories in a specified folder.""" name: str = "list_directory" diff --git a/libs/community/langchain_community/tools/file_management/move.py b/libs/community/langchain_community/tools/file_management/move.py index 935625172e9..1d9bce338ea 100644 --- a/libs/community/langchain_community/tools/file_management/move.py +++ b/libs/community/langchain_community/tools/file_management/move.py @@ -19,7 +19,7 @@ class FileMoveInput(BaseModel): destination_path: str = Field(..., description="New path for the moved file") -class MoveFileTool(BaseFileToolMixin, BaseTool): +class MoveFileTool(BaseFileToolMixin, BaseTool): # type: ignore[override, override] """Tool that moves a file.""" name: str = "move_file" diff --git a/libs/community/langchain_community/tools/file_management/read.py b/libs/community/langchain_community/tools/file_management/read.py index 9f746ed16c1..92572ee85ab 100644 --- a/libs/community/langchain_community/tools/file_management/read.py +++ b/libs/community/langchain_community/tools/file_management/read.py @@ -17,7 +17,7 @@ class ReadFileInput(BaseModel): file_path: str = Field(..., description="name of file") -class ReadFileTool(BaseFileToolMixin, BaseTool): +class ReadFileTool(BaseFileToolMixin, BaseTool): # type: ignore[override, override] """Tool that reads a file.""" name: str = "read_file" diff --git a/libs/community/langchain_community/tools/file_management/write.py b/libs/community/langchain_community/tools/file_management/write.py index 1d62065bb74..647f845ecd1 100644 --- a/libs/community/langchain_community/tools/file_management/write.py +++ b/libs/community/langchain_community/tools/file_management/write.py @@ -21,7 +21,7 @@ class WriteFileInput(BaseModel): ) -class WriteFileTool(BaseFileToolMixin, BaseTool): +class WriteFileTool(BaseFileToolMixin, BaseTool): # type: ignore[override, override] """Tool that writes a file to disk.""" name: str = "write_file" diff --git a/libs/community/langchain_community/tools/financial_datasets/balance_sheets.py b/libs/community/langchain_community/tools/financial_datasets/balance_sheets.py index a2374e35c7c..0b02b549ad6 100644 --- a/libs/community/langchain_community/tools/financial_datasets/balance_sheets.py +++ b/libs/community/langchain_community/tools/financial_datasets/balance_sheets.py @@ -24,7 +24,7 @@ class BalanceSheetsSchema(BaseModel): ) -class BalanceSheets(BaseTool): +class BalanceSheets(BaseTool): # type: ignore[override, override] """ Tool that gets balance sheets for a given ticker over a given period. """ diff --git a/libs/community/langchain_community/tools/financial_datasets/cash_flow_statements.py b/libs/community/langchain_community/tools/financial_datasets/cash_flow_statements.py index e8ac4a5b2bf..a627300a3a4 100644 --- a/libs/community/langchain_community/tools/financial_datasets/cash_flow_statements.py +++ b/libs/community/langchain_community/tools/financial_datasets/cash_flow_statements.py @@ -24,7 +24,7 @@ class CashFlowStatementsSchema(BaseModel): ) -class CashFlowStatements(BaseTool): +class CashFlowStatements(BaseTool): # type: ignore[override, override] """ Tool that gets cash flow statements for a given ticker over a given period. """ diff --git a/libs/community/langchain_community/tools/financial_datasets/income_statements.py b/libs/community/langchain_community/tools/financial_datasets/income_statements.py index e9db4e5cc16..dc06d358df1 100644 --- a/libs/community/langchain_community/tools/financial_datasets/income_statements.py +++ b/libs/community/langchain_community/tools/financial_datasets/income_statements.py @@ -24,7 +24,7 @@ class IncomeStatementsSchema(BaseModel): ) -class IncomeStatements(BaseTool): +class IncomeStatements(BaseTool): # type: ignore[override, override] """ Tool that gets income statements for a given ticker over a given period. """ diff --git a/libs/community/langchain_community/tools/github/tool.py b/libs/community/langchain_community/tools/github/tool.py index af6933fe9b8..1c605c95365 100644 --- a/libs/community/langchain_community/tools/github/tool.py +++ b/libs/community/langchain_community/tools/github/tool.py @@ -17,7 +17,7 @@ from pydantic import BaseModel, Field from langchain_community.utilities.github import GitHubAPIWrapper -class GitHubAction(BaseTool): +class GitHubAction(BaseTool): # type: ignore[override] """Tool for interacting with the GitHub API.""" api_wrapper: GitHubAPIWrapper = Field(default_factory=GitHubAPIWrapper) # type: ignore[arg-type] diff --git a/libs/community/langchain_community/tools/gitlab/tool.py b/libs/community/langchain_community/tools/gitlab/tool.py index 8dfe2bb32fd..ac9d27b7dfd 100644 --- a/libs/community/langchain_community/tools/gitlab/tool.py +++ b/libs/community/langchain_community/tools/gitlab/tool.py @@ -17,7 +17,7 @@ from pydantic import Field from langchain_community.utilities.gitlab import GitLabAPIWrapper -class GitLabAction(BaseTool): +class GitLabAction(BaseTool): # type: ignore[override] """Tool for interacting with the GitLab API.""" api_wrapper: GitLabAPIWrapper = Field(default_factory=GitLabAPIWrapper) # type: ignore[arg-type] diff --git a/libs/community/langchain_community/tools/gmail/base.py b/libs/community/langchain_community/tools/gmail/base.py index d55b0d30f8a..82e44fbc002 100644 --- a/libs/community/langchain_community/tools/gmail/base.py +++ b/libs/community/langchain_community/tools/gmail/base.py @@ -20,7 +20,7 @@ else: pass -class GmailBaseTool(BaseTool): +class GmailBaseTool(BaseTool): # type: ignore[override] """Base class for Gmail tools.""" api_resource: Resource = Field(default_factory=build_resource_service) diff --git a/libs/community/langchain_community/tools/gmail/create_draft.py b/libs/community/langchain_community/tools/gmail/create_draft.py index 2fdfcf37dd2..b35b0f87580 100644 --- a/libs/community/langchain_community/tools/gmail/create_draft.py +++ b/libs/community/langchain_community/tools/gmail/create_draft.py @@ -33,7 +33,7 @@ class CreateDraftSchema(BaseModel): ) -class GmailCreateDraft(GmailBaseTool): +class GmailCreateDraft(GmailBaseTool): # type: ignore[override, override] """Tool that creates a draft email for Gmail.""" name: str = "create_gmail_draft" diff --git a/libs/community/langchain_community/tools/gmail/get_message.py b/libs/community/langchain_community/tools/gmail/get_message.py index 6155cb499f4..0145d37b65f 100644 --- a/libs/community/langchain_community/tools/gmail/get_message.py +++ b/libs/community/langchain_community/tools/gmail/get_message.py @@ -18,7 +18,7 @@ class SearchArgsSchema(BaseModel): ) -class GmailGetMessage(GmailBaseTool): +class GmailGetMessage(GmailBaseTool): # type: ignore[override, override] """Tool that gets a message by ID from Gmail.""" name: str = "get_gmail_message" diff --git a/libs/community/langchain_community/tools/gmail/get_thread.py b/libs/community/langchain_community/tools/gmail/get_thread.py index 5e61bd8bb98..266b81115c2 100644 --- a/libs/community/langchain_community/tools/gmail/get_thread.py +++ b/libs/community/langchain_community/tools/gmail/get_thread.py @@ -16,7 +16,7 @@ class GetThreadSchema(BaseModel): ) -class GmailGetThread(GmailBaseTool): +class GmailGetThread(GmailBaseTool): # type: ignore[override, override] """Tool that gets a thread by ID from Gmail.""" name: str = "get_gmail_thread" diff --git a/libs/community/langchain_community/tools/gmail/search.py b/libs/community/langchain_community/tools/gmail/search.py index eb619684295..f0b4fe1df44 100644 --- a/libs/community/langchain_community/tools/gmail/search.py +++ b/libs/community/langchain_community/tools/gmail/search.py @@ -43,7 +43,7 @@ class SearchArgsSchema(BaseModel): ) -class GmailSearch(GmailBaseTool): +class GmailSearch(GmailBaseTool): # type: ignore[override, override] """Tool that searches for messages or threads in Gmail.""" name: str = "search_gmail" diff --git a/libs/community/langchain_community/tools/gmail/send_message.py b/libs/community/langchain_community/tools/gmail/send_message.py index 3ccd2185048..0d9ab463499 100644 --- a/libs/community/langchain_community/tools/gmail/send_message.py +++ b/libs/community/langchain_community/tools/gmail/send_message.py @@ -36,7 +36,7 @@ class SendMessageSchema(BaseModel): ) -class GmailSendMessage(GmailBaseTool): +class GmailSendMessage(GmailBaseTool): # type: ignore[override, override] """Tool that sends a message to Gmail.""" name: str = "send_gmail_message" diff --git a/libs/community/langchain_community/tools/gmail/utils.py b/libs/community/langchain_community/tools/gmail/utils.py index ef9dfc91b9b..e8bb4d468b3 100644 --- a/libs/community/langchain_community/tools/gmail/utils.py +++ b/libs/community/langchain_community/tools/gmail/utils.py @@ -83,7 +83,7 @@ def get_gmail_credentials( # If there are no (valid) credentials available, let the user log in. if not creds or not creds.valid: if creds and creds.expired and creds.refresh_token: - creds.refresh(Request()) + creds.refresh(Request()) # type: ignore[call-arg] else: # https://developers.google.com/gmail/api/quickstart/python#authorize_credentials_for_a_desktop_application # noqa flow = InstalledAppFlow.from_client_secrets_file( diff --git a/libs/community/langchain_community/tools/golden_query/tool.py b/libs/community/langchain_community/tools/golden_query/tool.py index 7cc5c72234c..1f9664aa158 100644 --- a/libs/community/langchain_community/tools/golden_query/tool.py +++ b/libs/community/langchain_community/tools/golden_query/tool.py @@ -8,7 +8,7 @@ from langchain_core.tools import BaseTool from langchain_community.utilities.golden_query import GoldenQueryAPIWrapper -class GoldenQueryRun(BaseTool): +class GoldenQueryRun(BaseTool): # type: ignore[override] """Tool that adds the capability to query using the Golden API and get back JSON.""" name: str = "golden_query" diff --git a/libs/community/langchain_community/tools/google_cloud/texttospeech.py b/libs/community/langchain_community/tools/google_cloud/texttospeech.py index 02a24e9cf1a..7984ae328f1 100644 --- a/libs/community/langchain_community/tools/google_cloud/texttospeech.py +++ b/libs/community/langchain_community/tools/google_cloud/texttospeech.py @@ -10,12 +10,12 @@ from langchain_core.tools import BaseTool from langchain_community.utilities.vertexai import get_client_info if TYPE_CHECKING: - from google.cloud import texttospeech + from google.cloud import texttospeech # type: ignore[attr-defined] def _import_google_cloud_texttospeech() -> Any: try: - from google.cloud import texttospeech + from google.cloud import texttospeech # type: ignore[attr-defined] except ImportError as e: raise ImportError( "Cannot import google.cloud.texttospeech, please install " @@ -42,7 +42,7 @@ def _encoding_file_extension_map(encoding: texttospeech.AudioEncoding) -> Option removal="1.0", alternative_import="langchain_google_community.TextToSpeechTool", ) -class GoogleCloudTextToSpeechTool(BaseTool): +class GoogleCloudTextToSpeechTool(BaseTool): # type: ignore[override] """Tool that queries the Google Cloud Text to Speech API. In order to set this up, follow instructions at: diff --git a/libs/community/langchain_community/tools/google_finance/tool.py b/libs/community/langchain_community/tools/google_finance/tool.py index 82eb82de318..15bbc1da2b4 100644 --- a/libs/community/langchain_community/tools/google_finance/tool.py +++ b/libs/community/langchain_community/tools/google_finance/tool.py @@ -8,7 +8,7 @@ from langchain_core.tools import BaseTool from langchain_community.utilities.google_finance import GoogleFinanceAPIWrapper -class GoogleFinanceQueryRun(BaseTool): +class GoogleFinanceQueryRun(BaseTool): # type: ignore[override] """Tool that queries the Google Finance API.""" name: str = "google_finance" diff --git a/libs/community/langchain_community/tools/google_jobs/tool.py b/libs/community/langchain_community/tools/google_jobs/tool.py index 6a83b3043d9..98211d4351c 100644 --- a/libs/community/langchain_community/tools/google_jobs/tool.py +++ b/libs/community/langchain_community/tools/google_jobs/tool.py @@ -8,7 +8,7 @@ from langchain_core.tools import BaseTool from langchain_community.utilities.google_jobs import GoogleJobsAPIWrapper -class GoogleJobsQueryRun(BaseTool): +class GoogleJobsQueryRun(BaseTool): # type: ignore[override] """Tool that queries the Google Jobs API.""" name: str = "google_jobs" diff --git a/libs/community/langchain_community/tools/google_lens/tool.py b/libs/community/langchain_community/tools/google_lens/tool.py index 38a4b847e21..677e11babd3 100644 --- a/libs/community/langchain_community/tools/google_lens/tool.py +++ b/libs/community/langchain_community/tools/google_lens/tool.py @@ -8,7 +8,7 @@ from langchain_core.tools import BaseTool from langchain_community.utilities.google_lens import GoogleLensAPIWrapper -class GoogleLensQueryRun(BaseTool): +class GoogleLensQueryRun(BaseTool): # type: ignore[override] """Tool that queries the Google Lens API.""" name: str = "google_lens" diff --git a/libs/community/langchain_community/tools/google_places/tool.py b/libs/community/langchain_community/tools/google_places/tool.py index b97705c9742..9328ec9050b 100644 --- a/libs/community/langchain_community/tools/google_places/tool.py +++ b/libs/community/langchain_community/tools/google_places/tool.py @@ -21,7 +21,7 @@ class GooglePlacesSchema(BaseModel): removal="1.0", alternative_import="langchain_google_community.GooglePlacesTool", ) -class GooglePlacesTool(BaseTool): +class GooglePlacesTool(BaseTool): # type: ignore[override, override] """Tool that queries the Google places API.""" name: str = "google_places" diff --git a/libs/community/langchain_community/tools/google_scholar/tool.py b/libs/community/langchain_community/tools/google_scholar/tool.py index 49f8769696f..05bf590b9b8 100644 --- a/libs/community/langchain_community/tools/google_scholar/tool.py +++ b/libs/community/langchain_community/tools/google_scholar/tool.py @@ -8,7 +8,7 @@ from langchain_core.tools import BaseTool from langchain_community.utilities.google_scholar import GoogleScholarAPIWrapper -class GoogleScholarQueryRun(BaseTool): +class GoogleScholarQueryRun(BaseTool): # type: ignore[override] """Tool that queries the Google search API.""" name: str = "google_scholar" diff --git a/libs/community/langchain_community/tools/google_search/tool.py b/libs/community/langchain_community/tools/google_search/tool.py index 3ba05079df8..fe9eac16be5 100644 --- a/libs/community/langchain_community/tools/google_search/tool.py +++ b/libs/community/langchain_community/tools/google_search/tool.py @@ -14,7 +14,7 @@ from langchain_community.utilities.google_search import GoogleSearchAPIWrapper removal="1.0", alternative_import="langchain_google_community.GoogleSearchRun", ) -class GoogleSearchRun(BaseTool): +class GoogleSearchRun(BaseTool): # type: ignore[override] """Tool that queries the Google search API.""" name: str = "google_search" @@ -39,7 +39,7 @@ class GoogleSearchRun(BaseTool): removal="1.0", alternative_import="langchain_google_community.GoogleSearchResults", ) -class GoogleSearchResults(BaseTool): +class GoogleSearchResults(BaseTool): # type: ignore[override] """Tool that queries the Google Search API and gets back json.""" name: str = "google_search_results_json" diff --git a/libs/community/langchain_community/tools/google_serper/tool.py b/libs/community/langchain_community/tools/google_serper/tool.py index 562dd012a1a..2b277790fbd 100644 --- a/libs/community/langchain_community/tools/google_serper/tool.py +++ b/libs/community/langchain_community/tools/google_serper/tool.py @@ -12,7 +12,7 @@ from pydantic import Field from langchain_community.utilities.google_serper import GoogleSerperAPIWrapper -class GoogleSerperRun(BaseTool): +class GoogleSerperRun(BaseTool): # type: ignore[override] """Tool that queries the Serper.dev Google search API.""" name: str = "google_serper" @@ -40,7 +40,7 @@ class GoogleSerperRun(BaseTool): return (await self.api_wrapper.arun(query)).__str__() -class GoogleSerperResults(BaseTool): +class GoogleSerperResults(BaseTool): # type: ignore[override] """Tool that queries the Serper.dev Google Search API and get back json.""" diff --git a/libs/community/langchain_community/tools/google_trends/tool.py b/libs/community/langchain_community/tools/google_trends/tool.py index 8b2b5dd8bfb..f830cf871ea 100644 --- a/libs/community/langchain_community/tools/google_trends/tool.py +++ b/libs/community/langchain_community/tools/google_trends/tool.py @@ -8,7 +8,7 @@ from langchain_core.tools import BaseTool from langchain_community.utilities.google_trends import GoogleTrendsAPIWrapper -class GoogleTrendsQueryRun(BaseTool): +class GoogleTrendsQueryRun(BaseTool): # type: ignore[override] """Tool that queries the Google trends API.""" name: str = "google_trends" diff --git a/libs/community/langchain_community/tools/graphql/tool.py b/libs/community/langchain_community/tools/graphql/tool.py index 0530f8cae07..939c6a09c61 100644 --- a/libs/community/langchain_community/tools/graphql/tool.py +++ b/libs/community/langchain_community/tools/graphql/tool.py @@ -8,7 +8,7 @@ from pydantic import ConfigDict from langchain_community.utilities.graphql import GraphQLAPIWrapper -class BaseGraphQLTool(BaseTool): +class BaseGraphQLTool(BaseTool): # type: ignore[override] """Base tool for querying a GraphQL API.""" graphql_wrapper: GraphQLAPIWrapper diff --git a/libs/community/langchain_community/tools/human/tool.py b/libs/community/langchain_community/tools/human/tool.py index d9e238b93c9..0262039dc92 100644 --- a/libs/community/langchain_community/tools/human/tool.py +++ b/libs/community/langchain_community/tools/human/tool.py @@ -12,7 +12,7 @@ def _print_func(text: str) -> None: print(text) # noqa: T201 -class HumanInputRun(BaseTool): +class HumanInputRun(BaseTool): # type: ignore[override] """Tool that asks user for input.""" name: str = "human" diff --git a/libs/community/langchain_community/tools/ifttt.py b/libs/community/langchain_community/tools/ifttt.py index 40bbe76fdad..c28b0781488 100644 --- a/libs/community/langchain_community/tools/ifttt.py +++ b/libs/community/langchain_community/tools/ifttt.py @@ -40,7 +40,7 @@ from langchain_core.callbacks import CallbackManagerForToolRun from langchain_core.tools import BaseTool -class IFTTTWebhook(BaseTool): +class IFTTTWebhook(BaseTool): # type: ignore[override] """IFTTT Webhook. Args: diff --git a/libs/community/langchain_community/tools/jina_search/tool.py b/libs/community/langchain_community/tools/jina_search/tool.py index a6961e685b3..42a2a5e7e7a 100644 --- a/libs/community/langchain_community/tools/jina_search/tool.py +++ b/libs/community/langchain_community/tools/jina_search/tool.py @@ -15,7 +15,7 @@ class JinaInput(BaseModel): query: str = Field(description="search query to look up") -class JinaSearch(BaseTool): +class JinaSearch(BaseTool): # type: ignore[override] """Tool that queries the JinaSearch. ..versionadded:: 0.2.16 diff --git a/libs/community/langchain_community/tools/jira/tool.py b/libs/community/langchain_community/tools/jira/tool.py index 70868947004..caa1a34c8c9 100644 --- a/libs/community/langchain_community/tools/jira/tool.py +++ b/libs/community/langchain_community/tools/jira/tool.py @@ -29,7 +29,7 @@ from pydantic import Field from langchain_community.utilities.jira import JiraAPIWrapper -class JiraAction(BaseTool): +class JiraAction(BaseTool): # type: ignore[override] """Tool that queries the Atlassian Jira API.""" api_wrapper: JiraAPIWrapper = Field(default_factory=JiraAPIWrapper) # type: ignore[arg-type] diff --git a/libs/community/langchain_community/tools/json/tool.py b/libs/community/langchain_community/tools/json/tool.py index 6e7fddff6d7..c9957ae33ab 100644 --- a/libs/community/langchain_community/tools/json/tool.py +++ b/libs/community/langchain_community/tools/json/tool.py @@ -82,7 +82,7 @@ class JsonSpec(BaseModel): return repr(e) -class JsonListKeysTool(BaseTool): +class JsonListKeysTool(BaseTool): # type: ignore[override] """Tool for listing keys in a JSON spec.""" name: str = "json_spec_list_keys" @@ -108,7 +108,7 @@ class JsonListKeysTool(BaseTool): return self._run(tool_input) -class JsonGetValueTool(BaseTool): +class JsonGetValueTool(BaseTool): # type: ignore[override] """Tool for getting a value in a JSON spec.""" name: str = "json_spec_get_value" diff --git a/libs/community/langchain_community/tools/memorize/tool.py b/libs/community/langchain_community/tools/memorize/tool.py index 87badf9ac31..fe1ec52ac4a 100644 --- a/libs/community/langchain_community/tools/memorize/tool.py +++ b/libs/community/langchain_community/tools/memorize/tool.py @@ -30,7 +30,7 @@ class TrainableLLM(Protocol): ) -> TrainResult: ... -class Memorize(BaseTool): +class Memorize(BaseTool): # type: ignore[override] """Tool that trains a language model.""" name: str = "memorize" diff --git a/libs/community/langchain_community/tools/merriam_webster/tool.py b/libs/community/langchain_community/tools/merriam_webster/tool.py index 9cf4e9f21ca..b6f9209477f 100644 --- a/libs/community/langchain_community/tools/merriam_webster/tool.py +++ b/libs/community/langchain_community/tools/merriam_webster/tool.py @@ -8,7 +8,7 @@ from langchain_core.tools import BaseTool from langchain_community.utilities.merriam_webster import MerriamWebsterAPIWrapper -class MerriamWebsterQueryRun(BaseTool): +class MerriamWebsterQueryRun(BaseTool): # type: ignore[override] """Tool that searches the Merriam-Webster API.""" name: str = "merriam_webster" diff --git a/libs/community/langchain_community/tools/metaphor_search/tool.py b/libs/community/langchain_community/tools/metaphor_search/tool.py index 98e932e8d2f..03af3636ba0 100644 --- a/libs/community/langchain_community/tools/metaphor_search/tool.py +++ b/libs/community/langchain_community/tools/metaphor_search/tool.py @@ -17,7 +17,7 @@ from langchain_community.utilities.metaphor_search import MetaphorSearchAPIWrapp removal="1.0", alternative="langchain_exa.ExaSearchResults", ) -class MetaphorSearchResults(BaseTool): +class MetaphorSearchResults(BaseTool): # type: ignore[override] """Tool that queries the Metaphor Search API and gets back json.""" name: str = "metaphor_search_results_json" diff --git a/libs/community/langchain_community/tools/mojeek_search/tool.py b/libs/community/langchain_community/tools/mojeek_search/tool.py index 9112e1afe65..8172475cb38 100644 --- a/libs/community/langchain_community/tools/mojeek_search/tool.py +++ b/libs/community/langchain_community/tools/mojeek_search/tool.py @@ -11,7 +11,7 @@ from langchain_core.tools import BaseTool from langchain_community.utilities.mojeek_search import MojeekSearchAPIWrapper -class MojeekSearch(BaseTool): +class MojeekSearch(BaseTool): # type: ignore[override] name: str = "mojeek_search" description: str = ( "A wrapper around Mojeek Search. " diff --git a/libs/community/langchain_community/tools/multion/close_session.py b/libs/community/langchain_community/tools/multion/close_session.py index 28f0abd013b..03a777f00c9 100644 --- a/libs/community/langchain_community/tools/multion/close_session.py +++ b/libs/community/langchain_community/tools/multion/close_session.py @@ -27,7 +27,7 @@ class CloseSessionSchema(BaseModel): ) -class MultionCloseSession(BaseTool): +class MultionCloseSession(BaseTool): # type: ignore[override, override] """Tool that closes an existing Multion Browser Window with provided fields. Attributes: diff --git a/libs/community/langchain_community/tools/multion/create_session.py b/libs/community/langchain_community/tools/multion/create_session.py index 53388a5a973..3feb83815da 100644 --- a/libs/community/langchain_community/tools/multion/create_session.py +++ b/libs/community/langchain_community/tools/multion/create_session.py @@ -31,7 +31,7 @@ class CreateSessionSchema(BaseModel): ) -class MultionCreateSession(BaseTool): +class MultionCreateSession(BaseTool): # type: ignore[override] """Tool that creates a new Multion Browser Window with provided fields. Attributes: diff --git a/libs/community/langchain_community/tools/multion/update_session.py b/libs/community/langchain_community/tools/multion/update_session.py index b535861e2ac..4a2abddd35b 100644 --- a/libs/community/langchain_community/tools/multion/update_session.py +++ b/libs/community/langchain_community/tools/multion/update_session.py @@ -36,7 +36,7 @@ class UpdateSessionSchema(BaseModel): ) -class MultionUpdateSession(BaseTool): +class MultionUpdateSession(BaseTool): # type: ignore[override, override] """Tool that updates an existing Multion Browser Window with provided fields. Attributes: diff --git a/libs/community/langchain_community/tools/nasa/tool.py b/libs/community/langchain_community/tools/nasa/tool.py index b9f2caa4555..ee2c5f2a10d 100644 --- a/libs/community/langchain_community/tools/nasa/tool.py +++ b/libs/community/langchain_community/tools/nasa/tool.py @@ -12,7 +12,7 @@ from pydantic import Field from langchain_community.utilities.nasa import NasaAPIWrapper -class NasaAction(BaseTool): +class NasaAction(BaseTool): # type: ignore[override] """Tool that queries the Atlassian Jira API.""" api_wrapper: NasaAPIWrapper = Field(default_factory=NasaAPIWrapper) diff --git a/libs/community/langchain_community/tools/nuclia/tool.py b/libs/community/langchain_community/tools/nuclia/tool.py index a575f7d1d05..02cb335367a 100644 --- a/libs/community/langchain_community/tools/nuclia/tool.py +++ b/libs/community/langchain_community/tools/nuclia/tool.py @@ -54,7 +54,7 @@ class NUASchema(BaseModel): ) -class NucliaUnderstandingAPI(BaseTool): +class NucliaUnderstandingAPI(BaseTool): # type: ignore[override, override] """Tool to process files with the Nuclia Understanding API.""" name: str = "nuclia_understanding_api" diff --git a/libs/community/langchain_community/tools/office365/base.py b/libs/community/langchain_community/tools/office365/base.py index 55160bd5e50..a1d13cca38e 100644 --- a/libs/community/langchain_community/tools/office365/base.py +++ b/libs/community/langchain_community/tools/office365/base.py @@ -13,7 +13,7 @@ if TYPE_CHECKING: from O365 import Account -class O365BaseTool(BaseTool): +class O365BaseTool(BaseTool): # type: ignore[override] """Base class for the Office 365 tools.""" account: Account = Field(default_factory=authenticate) diff --git a/libs/community/langchain_community/tools/office365/create_draft_message.py b/libs/community/langchain_community/tools/office365/create_draft_message.py index 02915ffedcf..0abac1ab298 100644 --- a/libs/community/langchain_community/tools/office365/create_draft_message.py +++ b/libs/community/langchain_community/tools/office365/create_draft_message.py @@ -31,7 +31,7 @@ class CreateDraftMessageSchema(BaseModel): ) -class O365CreateDraftMessage(O365BaseTool): +class O365CreateDraftMessage(O365BaseTool): # type: ignore[override, override] """Tool for creating a draft email in Office 365.""" name: str = "create_email_draft" diff --git a/libs/community/langchain_community/tools/office365/events_search.py b/libs/community/langchain_community/tools/office365/events_search.py index f23dd86b087..9615b27e8bf 100644 --- a/libs/community/langchain_community/tools/office365/events_search.py +++ b/libs/community/langchain_community/tools/office365/events_search.py @@ -53,7 +53,7 @@ class SearchEventsInput(BaseModel): ) -class O365SearchEvents(O365BaseTool): +class O365SearchEvents(O365BaseTool): # type: ignore[override, override] """Search calendar events in Office 365. Free, but setup is required diff --git a/libs/community/langchain_community/tools/office365/messages_search.py b/libs/community/langchain_community/tools/office365/messages_search.py index 5b66dc63644..a3208443569 100644 --- a/libs/community/langchain_community/tools/office365/messages_search.py +++ b/libs/community/langchain_community/tools/office365/messages_search.py @@ -52,7 +52,7 @@ class SearchEmailsInput(BaseModel): ) -class O365SearchEmails(O365BaseTool): +class O365SearchEmails(O365BaseTool): # type: ignore[override, override] """Search email messages in Office 365. Free, but setup is required. diff --git a/libs/community/langchain_community/tools/office365/send_event.py b/libs/community/langchain_community/tools/office365/send_event.py index 6a824deef75..b6916d9ae14 100644 --- a/libs/community/langchain_community/tools/office365/send_event.py +++ b/libs/community/langchain_community/tools/office365/send_event.py @@ -47,7 +47,7 @@ class SendEventSchema(BaseModel): ) -class O365SendEvent(O365BaseTool): +class O365SendEvent(O365BaseTool): # type: ignore[override, override] """Tool for sending calendar events in Office 365.""" name: str = "send_event" diff --git a/libs/community/langchain_community/tools/office365/send_message.py b/libs/community/langchain_community/tools/office365/send_message.py index 6ebc8883714..c7e180e9b73 100644 --- a/libs/community/langchain_community/tools/office365/send_message.py +++ b/libs/community/langchain_community/tools/office365/send_message.py @@ -31,7 +31,7 @@ class SendMessageSchema(BaseModel): ) -class O365SendMessage(O365BaseTool): +class O365SendMessage(O365BaseTool): # type: ignore[override, override] """Send an email in Office 365.""" name: str = "send_email" diff --git a/libs/community/langchain_community/tools/openai_dalle_image_generation/tool.py b/libs/community/langchain_community/tools/openai_dalle_image_generation/tool.py index 36374e887f7..6d0583b6f99 100644 --- a/libs/community/langchain_community/tools/openai_dalle_image_generation/tool.py +++ b/libs/community/langchain_community/tools/openai_dalle_image_generation/tool.py @@ -8,7 +8,7 @@ from langchain_core.tools import BaseTool from langchain_community.utilities.dalle_image_generator import DallEAPIWrapper -class OpenAIDALLEImageGenerationTool(BaseTool): +class OpenAIDALLEImageGenerationTool(BaseTool): # type: ignore[override] """Tool that generates an image using OpenAI DALLE.""" name: str = "openai_dalle" diff --git a/libs/community/langchain_community/tools/openweathermap/tool.py b/libs/community/langchain_community/tools/openweathermap/tool.py index f1e7758d2d0..cbeb552da2b 100644 --- a/libs/community/langchain_community/tools/openweathermap/tool.py +++ b/libs/community/langchain_community/tools/openweathermap/tool.py @@ -9,7 +9,7 @@ from pydantic import Field from langchain_community.utilities.openweathermap import OpenWeatherMapAPIWrapper -class OpenWeatherMapQueryRun(BaseTool): +class OpenWeatherMapQueryRun(BaseTool): # type: ignore[override] """Tool that queries the OpenWeatherMap API.""" api_wrapper: OpenWeatherMapAPIWrapper = Field( diff --git a/libs/community/langchain_community/tools/passio_nutrition_ai/tool.py b/libs/community/langchain_community/tools/passio_nutrition_ai/tool.py index 939e1a41bc9..464caf6f9a2 100644 --- a/libs/community/langchain_community/tools/passio_nutrition_ai/tool.py +++ b/libs/community/langchain_community/tools/passio_nutrition_ai/tool.py @@ -17,7 +17,7 @@ class NutritionAIInputs(BaseModel): ) -class NutritionAI(BaseTool): +class NutritionAI(BaseTool): # type: ignore[override, override] """Tool that queries the Passio Nutrition AI API.""" name: str = "nutritionai_advanced_search" diff --git a/libs/community/langchain_community/tools/playwright/base.py b/libs/community/langchain_community/tools/playwright/base.py index e85cc847936..efed3bc8deb 100644 --- a/libs/community/langchain_community/tools/playwright/base.py +++ b/libs/community/langchain_community/tools/playwright/base.py @@ -32,7 +32,7 @@ def lazy_import_playwright_browsers() -> Tuple[Type[AsyncBrowser], Type[SyncBrow ) -class BaseBrowserTool(BaseTool): +class BaseBrowserTool(BaseTool): # type: ignore[override] """Base class for browser tools.""" sync_browser: Optional["SyncBrowser"] = None diff --git a/libs/community/langchain_community/tools/playwright/click.py b/libs/community/langchain_community/tools/playwright/click.py index 22c6a23bf9c..07490e45fbf 100644 --- a/libs/community/langchain_community/tools/playwright/click.py +++ b/libs/community/langchain_community/tools/playwright/click.py @@ -21,7 +21,7 @@ class ClickToolInput(BaseModel): selector: str = Field(..., description="CSS selector for the element to click") -class ClickTool(BaseBrowserTool): +class ClickTool(BaseBrowserTool): # type: ignore[override, override, override] """Tool for clicking on an element with the given CSS selector.""" name: str = "click_element" diff --git a/libs/community/langchain_community/tools/playwright/current_page.py b/libs/community/langchain_community/tools/playwright/current_page.py index 94abcaf1f1c..50033d7f378 100644 --- a/libs/community/langchain_community/tools/playwright/current_page.py +++ b/libs/community/langchain_community/tools/playwright/current_page.py @@ -15,7 +15,7 @@ from langchain_community.tools.playwright.utils import ( ) -class CurrentWebPageTool(BaseBrowserTool): +class CurrentWebPageTool(BaseBrowserTool): # type: ignore[override, override] """Tool for getting the URL of the current webpage.""" name: str = "current_webpage" diff --git a/libs/community/langchain_community/tools/playwright/extract_hyperlinks.py b/libs/community/langchain_community/tools/playwright/extract_hyperlinks.py index 00a5e290274..18c2a1180bf 100644 --- a/libs/community/langchain_community/tools/playwright/extract_hyperlinks.py +++ b/libs/community/langchain_community/tools/playwright/extract_hyperlinks.py @@ -28,7 +28,7 @@ class ExtractHyperlinksToolInput(BaseModel): ) -class ExtractHyperlinksTool(BaseBrowserTool): +class ExtractHyperlinksTool(BaseBrowserTool): # type: ignore[override, override] """Extract all hyperlinks on the page.""" name: str = "extract_hyperlinks" diff --git a/libs/community/langchain_community/tools/playwright/extract_text.py b/libs/community/langchain_community/tools/playwright/extract_text.py index b04e367952a..dc77f1297f3 100644 --- a/libs/community/langchain_community/tools/playwright/extract_text.py +++ b/libs/community/langchain_community/tools/playwright/extract_text.py @@ -15,7 +15,7 @@ from langchain_community.tools.playwright.utils import ( ) -class ExtractTextTool(BaseBrowserTool): +class ExtractTextTool(BaseBrowserTool): # type: ignore[override, override] """Tool for extracting all the text on the current webpage.""" name: str = "extract_text" diff --git a/libs/community/langchain_community/tools/playwright/get_elements.py b/libs/community/langchain_community/tools/playwright/get_elements.py index 11e43c01696..9708dcb3904 100644 --- a/libs/community/langchain_community/tools/playwright/get_elements.py +++ b/libs/community/langchain_community/tools/playwright/get_elements.py @@ -73,7 +73,7 @@ def _get_elements( return results -class GetElementsTool(BaseBrowserTool): +class GetElementsTool(BaseBrowserTool): # type: ignore[override, override] """Tool for getting elements in the current web page matching a CSS selector.""" name: str = "get_elements" diff --git a/libs/community/langchain_community/tools/playwright/navigate.py b/libs/community/langchain_community/tools/playwright/navigate.py index 2bfe2be4fd7..0cd76585982 100644 --- a/libs/community/langchain_community/tools/playwright/navigate.py +++ b/libs/community/langchain_community/tools/playwright/navigate.py @@ -32,7 +32,7 @@ class NavigateToolInput(BaseModel): return values -class NavigateTool(BaseBrowserTool): +class NavigateTool(BaseBrowserTool): # type: ignore[override, override] """Tool for navigating a browser to a URL. **Security Note**: This tool provides code to control web-browser navigation. diff --git a/libs/community/langchain_community/tools/playwright/navigate_back.py b/libs/community/langchain_community/tools/playwright/navigate_back.py index 908e20bd571..688b135a23e 100644 --- a/libs/community/langchain_community/tools/playwright/navigate_back.py +++ b/libs/community/langchain_community/tools/playwright/navigate_back.py @@ -15,7 +15,7 @@ from langchain_community.tools.playwright.utils import ( ) -class NavigateBackTool(BaseBrowserTool): +class NavigateBackTool(BaseBrowserTool): # type: ignore[override, override] """Navigate back to the previous page in the browser history.""" name: str = "previous_webpage" diff --git a/libs/community/langchain_community/tools/plugin.py b/libs/community/langchain_community/tools/plugin.py index 102451e72da..440ea8d0ae6 100644 --- a/libs/community/langchain_community/tools/plugin.py +++ b/libs/community/langchain_community/tools/plugin.py @@ -63,7 +63,7 @@ class AIPluginToolSchema(BaseModel): tool_input: Optional[str] = "" -class AIPluginTool(BaseTool): +class AIPluginTool(BaseTool): # type: ignore[override, override] """Tool for getting the OpenAPI spec for an AI Plugin.""" plugin: AIPlugin diff --git a/libs/community/langchain_community/tools/polygon/aggregates.py b/libs/community/langchain_community/tools/polygon/aggregates.py index 26cb62d4677..74f0b85f5f4 100644 --- a/libs/community/langchain_community/tools/polygon/aggregates.py +++ b/libs/community/langchain_community/tools/polygon/aggregates.py @@ -39,7 +39,7 @@ class PolygonAggregatesSchema(BaseModel): ) -class PolygonAggregates(BaseTool): +class PolygonAggregates(BaseTool): # type: ignore[override, override] """ Tool that gets aggregate bars (stock prices) over a given date range for a given ticker from Polygon. diff --git a/libs/community/langchain_community/tools/polygon/financials.py b/libs/community/langchain_community/tools/polygon/financials.py index 8400e7498b4..bf044a5f898 100644 --- a/libs/community/langchain_community/tools/polygon/financials.py +++ b/libs/community/langchain_community/tools/polygon/financials.py @@ -13,7 +13,7 @@ class Inputs(BaseModel): query: str -class PolygonFinancials(BaseTool): +class PolygonFinancials(BaseTool): # type: ignore[override, override] """Tool that gets the financials of a ticker from Polygon""" mode: str = "get_financials" diff --git a/libs/community/langchain_community/tools/polygon/last_quote.py b/libs/community/langchain_community/tools/polygon/last_quote.py index 76c768113b3..2b9816683c6 100644 --- a/libs/community/langchain_community/tools/polygon/last_quote.py +++ b/libs/community/langchain_community/tools/polygon/last_quote.py @@ -13,7 +13,7 @@ class Inputs(BaseModel): query: str -class PolygonLastQuote(BaseTool): +class PolygonLastQuote(BaseTool): # type: ignore[override, override] """Tool that gets the last quote of a ticker from Polygon""" mode: str = "get_last_quote" diff --git a/libs/community/langchain_community/tools/polygon/ticker_news.py b/libs/community/langchain_community/tools/polygon/ticker_news.py index d4c4a2017ab..4a602d54acf 100644 --- a/libs/community/langchain_community/tools/polygon/ticker_news.py +++ b/libs/community/langchain_community/tools/polygon/ticker_news.py @@ -13,7 +13,7 @@ class Inputs(BaseModel): query: str -class PolygonTickerNews(BaseTool): +class PolygonTickerNews(BaseTool): # type: ignore[override, override] """Tool that gets the latest news for a given ticker from Polygon""" mode: str = "get_ticker_news" diff --git a/libs/community/langchain_community/tools/powerbi/tool.py b/libs/community/langchain_community/tools/powerbi/tool.py index c5ec51e5b52..cf930b3bafc 100644 --- a/libs/community/langchain_community/tools/powerbi/tool.py +++ b/libs/community/langchain_community/tools/powerbi/tool.py @@ -22,7 +22,7 @@ from langchain_community.utilities.powerbi import PowerBIDataset, json_to_md logger = logging.getLogger(__name__) -class QueryPowerBITool(BaseTool): +class QueryPowerBITool(BaseTool): # type: ignore[override] """Tool for querying a Power BI Dataset.""" name: str = "query_powerbi" @@ -216,7 +216,7 @@ class QueryPowerBITool(BaseTool): return False, 0 -class InfoPowerBITool(BaseTool): +class InfoPowerBITool(BaseTool): # type: ignore[override] """Tool for getting metadata about a PowerBI Dataset.""" name: str = "schema_powerbi" @@ -248,7 +248,7 @@ class InfoPowerBITool(BaseTool): return await self.powerbi.aget_table_info(tool_input.split(", ")) -class ListPowerBITool(BaseTool): +class ListPowerBITool(BaseTool): # type: ignore[override] """Tool for getting tables names.""" name: str = "list_tables_powerbi" diff --git a/libs/community/langchain_community/tools/pubmed/tool.py b/libs/community/langchain_community/tools/pubmed/tool.py index fe833863544..543c02a33bd 100644 --- a/libs/community/langchain_community/tools/pubmed/tool.py +++ b/libs/community/langchain_community/tools/pubmed/tool.py @@ -7,7 +7,7 @@ from pydantic import Field from langchain_community.utilities.pubmed import PubMedAPIWrapper -class PubmedQueryRun(BaseTool): +class PubmedQueryRun(BaseTool): # type: ignore[override] """Tool that searches the PubMed API.""" name: str = "pub_med" diff --git a/libs/community/langchain_community/tools/reddit_search/tool.py b/libs/community/langchain_community/tools/reddit_search/tool.py index fc823c2b23d..9a9ce882bbc 100644 --- a/libs/community/langchain_community/tools/reddit_search/tool.py +++ b/libs/community/langchain_community/tools/reddit_search/tool.py @@ -34,7 +34,7 @@ class RedditSearchSchema(BaseModel): ) -class RedditSearchRun(BaseTool): +class RedditSearchRun(BaseTool): # type: ignore[override, override] """Tool that queries for posts on a subreddit.""" name: str = "reddit_search" diff --git a/libs/community/langchain_community/tools/requests/tool.py b/libs/community/langchain_community/tools/requests/tool.py index c91b348053f..bdfd63ddcc4 100644 --- a/libs/community/langchain_community/tools/requests/tool.py +++ b/libs/community/langchain_community/tools/requests/tool.py @@ -47,7 +47,7 @@ class BaseRequestsTool(BaseModel): super().__init__(**kwargs) -class RequestsGetTool(BaseRequestsTool, BaseTool): +class RequestsGetTool(BaseRequestsTool, BaseTool): # type: ignore[override] """Tool for making a GET request to an API endpoint.""" name: str = "requests_get" @@ -71,7 +71,7 @@ class RequestsGetTool(BaseRequestsTool, BaseTool): return await self.requests_wrapper.aget(_clean_url(url)) -class RequestsPostTool(BaseRequestsTool, BaseTool): +class RequestsPostTool(BaseRequestsTool, BaseTool): # type: ignore[override] """Tool for making a POST request to an API endpoint.""" name: str = "requests_post" @@ -108,7 +108,7 @@ class RequestsPostTool(BaseRequestsTool, BaseTool): return repr(e) -class RequestsPatchTool(BaseRequestsTool, BaseTool): +class RequestsPatchTool(BaseRequestsTool, BaseTool): # type: ignore[override] """Tool for making a PATCH request to an API endpoint.""" name: str = "requests_patch" @@ -145,7 +145,7 @@ class RequestsPatchTool(BaseRequestsTool, BaseTool): return repr(e) -class RequestsPutTool(BaseRequestsTool, BaseTool): +class RequestsPutTool(BaseRequestsTool, BaseTool): # type: ignore[override] """Tool for making a PUT request to an API endpoint.""" name: str = "requests_put" @@ -182,7 +182,7 @@ class RequestsPutTool(BaseRequestsTool, BaseTool): return repr(e) -class RequestsDeleteTool(BaseRequestsTool, BaseTool): +class RequestsDeleteTool(BaseRequestsTool, BaseTool): # type: ignore[override] """Tool for making a DELETE request to an API endpoint.""" name: str = "requests_delete" diff --git a/libs/community/langchain_community/tools/riza/command.py b/libs/community/langchain_community/tools/riza/command.py index f0fbe382d46..f3f618c5ce2 100644 --- a/libs/community/langchain_community/tools/riza/command.py +++ b/libs/community/langchain_community/tools/riza/command.py @@ -18,7 +18,7 @@ class ExecPythonInput(BaseModel): code: str = Field(description="the Python code to execute") -class ExecPython(BaseTool): +class ExecPython(BaseTool): # type: ignore[override, override] """Riza Code tool. Setup: @@ -94,7 +94,7 @@ class ExecJavaScriptInput(BaseModel): code: str = Field(description="the JavaScript code to execute") -class ExecJavaScript(BaseTool): +class ExecJavaScript(BaseTool): # type: ignore[override, override] """A tool implementation to execute JavaScript via Riza's Code Interpreter API.""" name: str = "riza_exec_javascript" diff --git a/libs/community/langchain_community/tools/scenexplain/tool.py b/libs/community/langchain_community/tools/scenexplain/tool.py index fdc085ab1c8..fb3914470da 100644 --- a/libs/community/langchain_community/tools/scenexplain/tool.py +++ b/libs/community/langchain_community/tools/scenexplain/tool.py @@ -15,7 +15,7 @@ class SceneXplainInput(BaseModel): query: str = Field(..., description="The link to the image to explain") -class SceneXplainTool(BaseTool): +class SceneXplainTool(BaseTool): # type: ignore[override] """Tool that explains images.""" name: str = "image_explainer" diff --git a/libs/community/langchain_community/tools/searchapi/tool.py b/libs/community/langchain_community/tools/searchapi/tool.py index 205d59880de..8b92679bf6a 100644 --- a/libs/community/langchain_community/tools/searchapi/tool.py +++ b/libs/community/langchain_community/tools/searchapi/tool.py @@ -12,7 +12,7 @@ from pydantic import Field from langchain_community.utilities.searchapi import SearchApiAPIWrapper -class SearchAPIRun(BaseTool): +class SearchAPIRun(BaseTool): # type: ignore[override] """Tool that queries the SearchApi.io search API.""" name: str = "searchapi" @@ -40,7 +40,7 @@ class SearchAPIRun(BaseTool): return await self.api_wrapper.arun(query) -class SearchAPIResults(BaseTool): +class SearchAPIResults(BaseTool): # type: ignore[override] """Tool that queries the SearchApi.io search API and returns JSON.""" name: str = "searchapi_results_json" diff --git a/libs/community/langchain_community/tools/searx_search/tool.py b/libs/community/langchain_community/tools/searx_search/tool.py index d16739e88f2..3f752785ae7 100644 --- a/libs/community/langchain_community/tools/searx_search/tool.py +++ b/libs/community/langchain_community/tools/searx_search/tool.py @@ -18,7 +18,7 @@ class SearxSearchQueryInput(BaseModel): query: str = Field(description="query to look up on searx") -class SearxSearchRun(BaseTool): +class SearxSearchRun(BaseTool): # type: ignore[override, override] """Tool that queries a Searx instance.""" name: str = "searx_search" @@ -48,7 +48,7 @@ class SearxSearchRun(BaseTool): return await self.wrapper.arun(query, **self.kwargs) -class SearxSearchResults(BaseTool): +class SearxSearchResults(BaseTool): # type: ignore[override, override] """Tool that queries a Searx instance and gets back json.""" name: str = "searx_search_results" diff --git a/libs/community/langchain_community/tools/semanticscholar/tool.py b/libs/community/langchain_community/tools/semanticscholar/tool.py index ce53fa4bab5..b5999eb22d7 100644 --- a/libs/community/langchain_community/tools/semanticscholar/tool.py +++ b/libs/community/langchain_community/tools/semanticscholar/tool.py @@ -15,7 +15,7 @@ class SemantscholarInput(BaseModel): query: str = Field(description="search query to look up") -class SemanticScholarQueryRun(BaseTool): +class SemanticScholarQueryRun(BaseTool): # type: ignore[override, override] """Tool that searches the semanticscholar API.""" name: str = "semanticscholar" diff --git a/libs/community/langchain_community/tools/shell/tool.py b/libs/community/langchain_community/tools/shell/tool.py index c4ff4d1b605..75481536df3 100644 --- a/libs/community/langchain_community/tools/shell/tool.py +++ b/libs/community/langchain_community/tools/shell/tool.py @@ -57,7 +57,7 @@ def _get_platform() -> str: return system -class ShellTool(BaseTool): +class ShellTool(BaseTool): # type: ignore[override, override] """Tool to run shell commands.""" process: Any = Field(default_factory=_get_default_bash_process) diff --git a/libs/community/langchain_community/tools/slack/base.py b/libs/community/langchain_community/tools/slack/base.py index 6579e6ce44e..23a3fa6c99f 100644 --- a/libs/community/langchain_community/tools/slack/base.py +++ b/libs/community/langchain_community/tools/slack/base.py @@ -13,7 +13,7 @@ if TYPE_CHECKING: from slack_sdk import WebClient -class SlackBaseTool(BaseTool): +class SlackBaseTool(BaseTool): # type: ignore[override] """Base class for Slack tools.""" client: WebClient = Field(default_factory=login) diff --git a/libs/community/langchain_community/tools/slack/get_channel.py b/libs/community/langchain_community/tools/slack/get_channel.py index 4cee16a9350..60419b66768 100644 --- a/libs/community/langchain_community/tools/slack/get_channel.py +++ b/libs/community/langchain_community/tools/slack/get_channel.py @@ -7,7 +7,7 @@ from langchain_core.callbacks import CallbackManagerForToolRun from langchain_community.tools.slack.base import SlackBaseTool -class SlackGetChannel(SlackBaseTool): +class SlackGetChannel(SlackBaseTool): # type: ignore[override] """Tool that gets Slack channel information.""" name: str = "get_channelid_name_dict" diff --git a/libs/community/langchain_community/tools/slack/get_message.py b/libs/community/langchain_community/tools/slack/get_message.py index 733f16979e4..b756f3124c3 100644 --- a/libs/community/langchain_community/tools/slack/get_message.py +++ b/libs/community/langchain_community/tools/slack/get_message.py @@ -17,7 +17,7 @@ class SlackGetMessageSchema(BaseModel): ) -class SlackGetMessage(SlackBaseTool): +class SlackGetMessage(SlackBaseTool): # type: ignore[override, override] """Tool that gets Slack messages.""" name: str = "get_messages" diff --git a/libs/community/langchain_community/tools/slack/schedule_message.py b/libs/community/langchain_community/tools/slack/schedule_message.py index c4a561f5aae..2e4e2c060e1 100644 --- a/libs/community/langchain_community/tools/slack/schedule_message.py +++ b/libs/community/langchain_community/tools/slack/schedule_message.py @@ -33,7 +33,7 @@ class ScheduleMessageSchema(BaseModel): ) -class SlackScheduleMessage(SlackBaseTool): +class SlackScheduleMessage(SlackBaseTool): # type: ignore[override, override] """Tool for scheduling a message in Slack.""" name: str = "schedule_message" diff --git a/libs/community/langchain_community/tools/slack/send_message.py b/libs/community/langchain_community/tools/slack/send_message.py index 87223830d43..d56de486047 100644 --- a/libs/community/langchain_community/tools/slack/send_message.py +++ b/libs/community/langchain_community/tools/slack/send_message.py @@ -19,7 +19,7 @@ class SendMessageSchema(BaseModel): ) -class SlackSendMessage(SlackBaseTool): +class SlackSendMessage(SlackBaseTool): # type: ignore[override, override] """Tool for sending a message in Slack.""" name: str = "send_message" diff --git a/libs/community/langchain_community/tools/sleep/tool.py b/libs/community/langchain_community/tools/sleep/tool.py index e39a272a79f..f3c7060a522 100644 --- a/libs/community/langchain_community/tools/sleep/tool.py +++ b/libs/community/langchain_community/tools/sleep/tool.py @@ -18,7 +18,7 @@ class SleepInput(BaseModel): sleep_time: int = Field(..., description="Time to sleep in seconds") -class SleepTool(BaseTool): +class SleepTool(BaseTool): # type: ignore[override] """Tool that adds the capability to sleep.""" name: str = "sleep" diff --git a/libs/community/langchain_community/tools/spark_sql/tool.py b/libs/community/langchain_community/tools/spark_sql/tool.py index 91bbc87f295..421e507cd2e 100644 --- a/libs/community/langchain_community/tools/spark_sql/tool.py +++ b/libs/community/langchain_community/tools/spark_sql/tool.py @@ -26,7 +26,7 @@ class BaseSparkSQLTool(BaseModel): ) -class QuerySparkSQLTool(BaseSparkSQLTool, BaseTool): +class QuerySparkSQLTool(BaseSparkSQLTool, BaseTool): # type: ignore[override] """Tool for querying a Spark SQL.""" name: str = "query_sql_db" @@ -45,7 +45,7 @@ class QuerySparkSQLTool(BaseSparkSQLTool, BaseTool): return self.db.run_no_throw(query) -class InfoSparkSQLTool(BaseSparkSQLTool, BaseTool): +class InfoSparkSQLTool(BaseSparkSQLTool, BaseTool): # type: ignore[override] """Tool for getting metadata about a Spark SQL.""" name: str = "schema_sql_db" @@ -65,7 +65,7 @@ class InfoSparkSQLTool(BaseSparkSQLTool, BaseTool): return self.db.get_table_info_no_throw(table_names.split(", ")) -class ListSparkSQLTool(BaseSparkSQLTool, BaseTool): +class ListSparkSQLTool(BaseSparkSQLTool, BaseTool): # type: ignore[override] """Tool for getting tables names.""" name: str = "list_tables_sql_db" @@ -80,7 +80,7 @@ class ListSparkSQLTool(BaseSparkSQLTool, BaseTool): return ", ".join(self.db.get_usable_table_names()) -class QueryCheckerTool(BaseSparkSQLTool, BaseTool): +class QueryCheckerTool(BaseSparkSQLTool, BaseTool): # type: ignore[override] """Use an LLM to check if a query is correct. Adapted from https://www.patterns.app/blog/2023/01/18/crunchbot-sql-analyst-gpt/""" diff --git a/libs/community/langchain_community/tools/sql_database/tool.py b/libs/community/langchain_community/tools/sql_database/tool.py index 1bc119860d6..42cee9e7ed8 100644 --- a/libs/community/langchain_community/tools/sql_database/tool.py +++ b/libs/community/langchain_community/tools/sql_database/tool.py @@ -32,7 +32,7 @@ class _QuerySQLDataBaseToolInput(BaseModel): query: str = Field(..., description="A detailed and correct SQL query.") -class QuerySQLDataBaseTool(BaseSQLDatabaseTool, BaseTool): +class QuerySQLDataBaseTool(BaseSQLDatabaseTool, BaseTool): # type: ignore[override, override] """Tool for querying a SQL database.""" name: str = "sql_db_query" @@ -62,7 +62,7 @@ class _InfoSQLDatabaseToolInput(BaseModel): ) -class InfoSQLDatabaseTool(BaseSQLDatabaseTool, BaseTool): +class InfoSQLDatabaseTool(BaseSQLDatabaseTool, BaseTool): # type: ignore[override, override] """Tool for getting metadata about a SQL database.""" name: str = "sql_db_schema" @@ -84,7 +84,7 @@ class _ListSQLDataBaseToolInput(BaseModel): tool_input: str = Field("", description="An empty string") -class ListSQLDatabaseTool(BaseSQLDatabaseTool, BaseTool): +class ListSQLDatabaseTool(BaseSQLDatabaseTool, BaseTool): # type: ignore[override, override] """Tool for getting tables names.""" name: str = "sql_db_list_tables" @@ -104,7 +104,7 @@ class _QuerySQLCheckerToolInput(BaseModel): query: str = Field(..., description="A detailed and SQL query to be checked.") -class QuerySQLCheckerTool(BaseSQLDatabaseTool, BaseTool): +class QuerySQLCheckerTool(BaseSQLDatabaseTool, BaseTool): # type: ignore[override, override] """Use an LLM to check if a query is correct. Adapted from https://www.patterns.app/blog/2023/01/18/crunchbot-sql-analyst-gpt/""" diff --git a/libs/community/langchain_community/tools/stackexchange/tool.py b/libs/community/langchain_community/tools/stackexchange/tool.py index 2060eada6e7..fe4a48bd1e2 100644 --- a/libs/community/langchain_community/tools/stackexchange/tool.py +++ b/libs/community/langchain_community/tools/stackexchange/tool.py @@ -8,7 +8,7 @@ from langchain_core.tools import BaseTool from langchain_community.utilities.stackexchange import StackExchangeAPIWrapper -class StackExchangeTool(BaseTool): +class StackExchangeTool(BaseTool): # type: ignore[override] """Tool that uses StackExchange""" name: str = "stack_exchange" diff --git a/libs/community/langchain_community/tools/steam/tool.py b/libs/community/langchain_community/tools/steam/tool.py index 3e71dddc0b4..f03f0c26fb9 100644 --- a/libs/community/langchain_community/tools/steam/tool.py +++ b/libs/community/langchain_community/tools/steam/tool.py @@ -8,7 +8,7 @@ from langchain_core.tools import BaseTool from langchain_community.utilities.steam import SteamWebAPIWrapper -class SteamWebAPIQueryRun(BaseTool): +class SteamWebAPIQueryRun(BaseTool): # type: ignore[override] """Tool that searches the Steam Web API.""" mode: str diff --git a/libs/community/langchain_community/tools/steamship_image_generation/tool.py b/libs/community/langchain_community/tools/steamship_image_generation/tool.py index ea1c4b6860d..ce219236d52 100644 --- a/libs/community/langchain_community/tools/steamship_image_generation/tool.py +++ b/libs/community/langchain_community/tools/steamship_image_generation/tool.py @@ -41,7 +41,7 @@ SUPPORTED_IMAGE_SIZES = { } -class SteamshipImageGenerationTool(BaseTool): +class SteamshipImageGenerationTool(BaseTool): # type: ignore[override] """Tool used to generate images from a text-prompt.""" model_name: ModelName diff --git a/libs/community/langchain_community/tools/tavily_search/tool.py b/libs/community/langchain_community/tools/tavily_search/tool.py index 53164d93406..1527458f30a 100644 --- a/libs/community/langchain_community/tools/tavily_search/tool.py +++ b/libs/community/langchain_community/tools/tavily_search/tool.py @@ -18,7 +18,7 @@ class TavilyInput(BaseModel): query: str = Field(description="search query to look up") -class TavilySearchResults(BaseTool): +class TavilySearchResults(BaseTool): # type: ignore[override, override] """Tool that queries the Tavily Search API and gets back json. Setup: @@ -190,7 +190,7 @@ class TavilySearchResults(BaseTool): return self.api_wrapper.clean_results(raw_results["results"]), raw_results -class TavilyAnswer(BaseTool): +class TavilyAnswer(BaseTool): # type: ignore[override, override] """Tool that queries the Tavily Search API and gets back an answer.""" name: str = "tavily_answer" diff --git a/libs/community/langchain_community/tools/vectorstore/tool.py b/libs/community/langchain_community/tools/vectorstore/tool.py index e2479929df6..269d00ac486 100644 --- a/libs/community/langchain_community/tools/vectorstore/tool.py +++ b/libs/community/langchain_community/tools/vectorstore/tool.py @@ -31,7 +31,7 @@ def _create_description_from_template(values: Dict[str, Any]) -> Dict[str, Any]: return values -class VectorStoreQATool(BaseVectorStoreTool, BaseTool): +class VectorStoreQATool(BaseVectorStoreTool, BaseTool): # type: ignore[override] """Tool for the VectorDBQA chain. To be initialized with name and chain.""" @staticmethod @@ -79,7 +79,7 @@ class VectorStoreQATool(BaseVectorStoreTool, BaseTool): )[chain.output_key] -class VectorStoreQAWithSourcesTool(BaseVectorStoreTool, BaseTool): +class VectorStoreQAWithSourcesTool(BaseVectorStoreTool, BaseTool): # type: ignore[override] """Tool for the VectorDBQAWithSources chain.""" @staticmethod diff --git a/libs/community/langchain_community/tools/wikidata/tool.py b/libs/community/langchain_community/tools/wikidata/tool.py index c34096cf019..eb2ad9a06f1 100644 --- a/libs/community/langchain_community/tools/wikidata/tool.py +++ b/libs/community/langchain_community/tools/wikidata/tool.py @@ -8,7 +8,7 @@ from langchain_core.tools import BaseTool from langchain_community.utilities.wikidata import WikidataAPIWrapper -class WikidataQueryRun(BaseTool): +class WikidataQueryRun(BaseTool): # type: ignore[override] """Tool that searches the Wikidata API.""" name: str = "Wikidata" diff --git a/libs/community/langchain_community/tools/wikipedia/tool.py b/libs/community/langchain_community/tools/wikipedia/tool.py index 127117f89d6..5d4f6e3540e 100644 --- a/libs/community/langchain_community/tools/wikipedia/tool.py +++ b/libs/community/langchain_community/tools/wikipedia/tool.py @@ -15,7 +15,7 @@ class WikipediaQueryInput(BaseModel): query: str = Field(description="query to look up on wikipedia") -class WikipediaQueryRun(BaseTool): +class WikipediaQueryRun(BaseTool): # type: ignore[override, override] """Tool that searches the Wikipedia API.""" name: str = "wikipedia" diff --git a/libs/community/langchain_community/tools/wolfram_alpha/tool.py b/libs/community/langchain_community/tools/wolfram_alpha/tool.py index e4364e669a0..cc5c8cf77d8 100644 --- a/libs/community/langchain_community/tools/wolfram_alpha/tool.py +++ b/libs/community/langchain_community/tools/wolfram_alpha/tool.py @@ -8,7 +8,7 @@ from langchain_core.tools import BaseTool from langchain_community.utilities.wolfram_alpha import WolframAlphaAPIWrapper -class WolframAlphaQueryRun(BaseTool): +class WolframAlphaQueryRun(BaseTool): # type: ignore[override] """Tool that queries using the Wolfram Alpha SDK.""" name: str = "wolfram_alpha" diff --git a/libs/community/langchain_community/tools/yahoo_finance_news.py b/libs/community/langchain_community/tools/yahoo_finance_news.py index 7c844f0c590..7a4f7d7f766 100644 --- a/libs/community/langchain_community/tools/yahoo_finance_news.py +++ b/libs/community/langchain_community/tools/yahoo_finance_news.py @@ -16,7 +16,7 @@ class YahooFinanceNewsInput(BaseModel): query: str = Field(description="company ticker query to look up") -class YahooFinanceNewsTool(BaseTool): +class YahooFinanceNewsTool(BaseTool): # type: ignore[override, override] """Tool that searches financial news on Yahoo Finance.""" name: str = "yahoo_finance_news" diff --git a/libs/community/langchain_community/tools/you/tool.py b/libs/community/langchain_community/tools/you/tool.py index 59990e71ff5..923ad41ebf3 100644 --- a/libs/community/langchain_community/tools/you/tool.py +++ b/libs/community/langchain_community/tools/you/tool.py @@ -17,7 +17,7 @@ class YouInput(BaseModel): query: str = Field(description="should be a search query") -class YouSearchTool(BaseTool): +class YouSearchTool(BaseTool): # type: ignore[override, override] """Tool that searches the you.com API.""" name: str = "you_search" diff --git a/libs/community/langchain_community/tools/youtube/search.py b/libs/community/langchain_community/tools/youtube/search.py index 497fa542adf..cc68055b1b9 100644 --- a/libs/community/langchain_community/tools/youtube/search.py +++ b/libs/community/langchain_community/tools/youtube/search.py @@ -16,7 +16,7 @@ from langchain_core.callbacks import CallbackManagerForToolRun from langchain_core.tools import BaseTool -class YouTubeSearchTool(BaseTool): +class YouTubeSearchTool(BaseTool): # type: ignore[override] """Tool that queries YouTube.""" name: str = "youtube_search" diff --git a/libs/community/langchain_community/tools/zapier/tool.py b/libs/community/langchain_community/tools/zapier/tool.py index 44d7fb04c0a..cc7f0f46890 100644 --- a/libs/community/langchain_community/tools/zapier/tool.py +++ b/libs/community/langchain_community/tools/zapier/tool.py @@ -83,7 +83,7 @@ from langchain_community.tools.zapier.prompt import BASE_ZAPIER_TOOL_PROMPT from langchain_community.utilities.zapier import ZapierNLAWrapper -class ZapierNLARunAction(BaseTool): +class ZapierNLARunAction(BaseTool): # type: ignore[override] """Tool to run a specific action from the user's exposed actions. Params: @@ -169,7 +169,7 @@ ZapierNLARunAction.__doc__ = ( # other useful actions -class ZapierNLAListActions(BaseTool): +class ZapierNLAListActions(BaseTool): # type: ignore[override] """Tool to list all exposed actions for the user.""" name: str = "ZapierNLA_list_actions" diff --git a/libs/community/langchain_community/tools/zenguard/tool.py b/libs/community/langchain_community/tools/zenguard/tool.py index f577b079847..e54590079bd 100644 --- a/libs/community/langchain_community/tools/zenguard/tool.py +++ b/libs/community/langchain_community/tools/zenguard/tool.py @@ -44,7 +44,7 @@ class ZenGuardInput(BaseModel): ) -class ZenGuardTool(BaseTool): +class ZenGuardTool(BaseTool): # type: ignore[override, override] name: str = "ZenGuard" description: str = ( "ZenGuard AI integration package. ZenGuard AI - the fastest GenAI guardrails." diff --git a/libs/community/langchain_community/utilities/dalle_image_generator.py b/libs/community/langchain_community/utilities/dalle_image_generator.py index fea18c3958d..ed34231b2bf 100644 --- a/libs/community/langchain_community/utilities/dalle_image_generator.py +++ b/libs/community/langchain_community/utilities/dalle_image_generator.py @@ -129,11 +129,11 @@ class DallEAPIWrapper(BaseModel): } if not self.client: - self.client = openai.OpenAI(**client_params).images + self.client = openai.OpenAI(**client_params).images # type: ignore[arg-type, arg-type, arg-type, arg-type, arg-type, arg-type, arg-type, arg-type] if not self.async_client: - self.async_client = openai.AsyncOpenAI(**client_params).images + self.async_client = openai.AsyncOpenAI(**client_params).images # type: ignore[arg-type, arg-type, arg-type, arg-type, arg-type, arg-type, arg-type, arg-type] elif not self.client: - self.client = openai.Image + self.client = openai.Image # type: ignore[attr-defined] else: pass return self diff --git a/libs/community/langchain_community/utilities/duckduckgo_search.py b/libs/community/langchain_community/utilities/duckduckgo_search.py index d8017c28ae6..ede5c122987 100644 --- a/libs/community/langchain_community/utilities/duckduckgo_search.py +++ b/libs/community/langchain_community/utilities/duckduckgo_search.py @@ -63,7 +63,7 @@ class DuckDuckGoSearchAPIWrapper(BaseModel): with DDGS() as ddgs: ddgs_gen = ddgs.text( query, - region=self.region, + region=self.region, # type: ignore[arg-type] safesearch=self.safesearch, timelimit=self.time, max_results=max_results or self.max_results, @@ -82,7 +82,7 @@ class DuckDuckGoSearchAPIWrapper(BaseModel): with DDGS() as ddgs: ddgs_gen = ddgs.news( query, - region=self.region, + region=self.region, # type: ignore[arg-type] safesearch=self.safesearch, timelimit=self.time, max_results=max_results or self.max_results, diff --git a/libs/community/langchain_community/utilities/nvidia_riva.py b/libs/community/langchain_community/utilities/nvidia_riva.py index 40a788a85f7..74afba23d2d 100644 --- a/libs/community/langchain_community/utilities/nvidia_riva.py +++ b/libs/community/langchain_community/utilities/nvidia_riva.py @@ -401,7 +401,7 @@ ASRInputType = AudioStream ASROutputType = str -class RivaASR( +class RivaASR( # type: ignore[override] RivaAuthMixin, RivaCommonConfigMixin, RunnableSerializable[ASRInputType, ASROutputType], @@ -509,7 +509,7 @@ TTSInputType = Union[str, AnyMessage, PromptValue] TTSOutputType = bytes -class RivaTTS( +class RivaTTS( # type: ignore[override] RivaAuthMixin, RivaCommonConfigMixin, RunnableSerializable[TTSInputType, TTSOutputType], diff --git a/libs/community/langchain_community/vectorstores/chroma.py b/libs/community/langchain_community/vectorstores/chroma.py index 248dff00d53..40ba2415b69 100644 --- a/libs/community/langchain_community/vectorstores/chroma.py +++ b/libs/community/langchain_community/vectorstores/chroma.py @@ -75,7 +75,7 @@ class Chroma(VectorStore): persist_directory: Optional[str] = None, client_settings: Optional[chromadb.config.Settings] = None, collection_metadata: Optional[Dict] = None, - client: Optional[chromadb.Client] = None, + client: Optional[chromadb.Client] = None, # type: ignore[valid-type] relevance_score_fn: Optional[Callable[[float], float]] = None, ) -> None: """Initialize with a Chroma client.""" @@ -118,14 +118,14 @@ class Chroma(VectorStore): _client_settings.persist_directory = persist_directory else: _client_settings = chromadb.config.Settings() - self._client_settings = _client_settings - self._client = chromadb.Client(_client_settings) - self._persist_directory = ( + self._client_settings = _client_settings # type: ignore[has-type] + self._client = chromadb.Client(_client_settings) # type: ignore[has-type] + self._persist_directory = ( # type: ignore[has-type] _client_settings.persist_directory or persist_directory ) self._embedding_function = embedding_function - self._collection = self._client.get_or_create_collection( + self._collection = self._client.get_or_create_collection( # type: ignore[has-type] name=collection_name, embedding_function=None, metadata=collection_metadata, @@ -154,12 +154,12 @@ class Chroma(VectorStore): "Could not import chromadb python package. " "Please install it with `pip install chromadb`." ) - return self._collection.query( + return self._collection.query( # type: ignore[return-value] query_texts=query_texts, - query_embeddings=query_embeddings, + query_embeddings=query_embeddings, # type: ignore[arg-type] n_results=n_results, - where=where, - where_document=where_document, + where=where, # type: ignore[arg-type] + where_document=where_document, # type: ignore[arg-type] **kwargs, ) @@ -218,7 +218,7 @@ class Chroma(VectorStore): ids_with_metadata = [ids[idx] for idx in non_empty_ids] try: self._collection.upsert( - metadatas=metadatas, + metadatas=metadatas, # type: ignore[arg-type] embeddings=embeddings_with_metadatas, documents=images_with_metadatas, ids=ids_with_metadata, @@ -297,8 +297,8 @@ class Chroma(VectorStore): ids_with_metadata = [ids[idx] for idx in non_empty_ids] try: self._collection.upsert( - metadatas=metadatas, - embeddings=embeddings_with_metadatas, + metadatas=metadatas, # type: ignore[arg-type] + embeddings=embeddings_with_metadatas, # type: ignore[arg-type] documents=texts_with_metadatas, ids=ids_with_metadata, ) @@ -318,13 +318,13 @@ class Chroma(VectorStore): ) ids_without_metadatas = [ids[j] for j in empty_ids] self._collection.upsert( - embeddings=embeddings_without_metadatas, + embeddings=embeddings_without_metadatas, # type: ignore[arg-type] documents=texts_without_metadatas, ids=ids_without_metadatas, ) else: self._collection.upsert( - embeddings=embeddings, + embeddings=embeddings, # type: ignore[arg-type] documents=texts, ids=ids, ) @@ -659,7 +659,7 @@ class Chroma(VectorStore): def delete_collection(self) -> None: """Delete the collection.""" - self._client.delete_collection(self._collection.name) + self._client.delete_collection(self._collection.name) # type: ignore[has-type] def get( self, @@ -697,7 +697,7 @@ class Chroma(VectorStore): if include is not None: kwargs["include"] = include - return self._collection.get(**kwargs) + return self._collection.get(**kwargs) # type: ignore[return-value, arg-type, arg-type, arg-type, arg-type, arg-type] @deprecated( since="0.1.17", @@ -716,7 +716,7 @@ class Chroma(VectorStore): Since Chroma 0.4.x the manual persistence method is no longer supported as docs are automatically persisted. """ - if self._persist_directory is None: + if self._persist_directory is None: # type: ignore[has-type] raise ValueError( "You must specify a persist_directory on" "creation to persist the collection." @@ -726,7 +726,7 @@ class Chroma(VectorStore): # Maintain backwards compatibility with chromadb < 0.4.0 major, minor, _ = chromadb.__version__.split(".") if int(major) == 0 and int(minor) < 4: - self._client.persist() + self._client.persist() # type: ignore[has-type] def update_document(self, document_id: str, document: Document) -> None: """Update a document in the collection. @@ -760,9 +760,9 @@ class Chroma(VectorStore): for batch in create_batches( api=self._collection._client, ids=ids, - metadatas=metadata, + metadatas=metadata, # type: ignore[arg-type] documents=text, - embeddings=embeddings, + embeddings=embeddings, # type: ignore[arg-type] ): self._collection.update( ids=batch[0], @@ -773,9 +773,9 @@ class Chroma(VectorStore): else: self._collection.update( ids=ids, - embeddings=embeddings, + embeddings=embeddings, # type: ignore[arg-type] documents=text, - metadatas=metadata, + metadatas=metadata, # type: ignore[arg-type] ) @classmethod @@ -788,7 +788,7 @@ class Chroma(VectorStore): collection_name: str = _LANGCHAIN_DEFAULT_COLLECTION_NAME, persist_directory: Optional[str] = None, client_settings: Optional[chromadb.config.Settings] = None, - client: Optional[chromadb.Client] = None, + client: Optional[chromadb.Client] = None, # type: ignore[valid-type] collection_metadata: Optional[Dict] = None, **kwargs: Any, ) -> Chroma: @@ -823,19 +823,20 @@ class Chroma(VectorStore): if ids is None: ids = [str(uuid.uuid4()) for _ in texts] if hasattr( - chroma_collection._client, "max_batch_size" + chroma_collection._client, # type: ignore[has-type] + "max_batch_size", # type: ignore[has-type] ): # for Chroma 0.4.10 and above from chromadb.utils.batch_utils import create_batches for batch in create_batches( - api=chroma_collection._client, + api=chroma_collection._client, # type: ignore[has-type] ids=ids, - metadatas=metadatas, + metadatas=metadatas, # type: ignore[arg-type] documents=texts, ): chroma_collection.add_texts( texts=batch[3] if batch[3] else [], - metadatas=batch[2] if batch[2] else None, + metadatas=batch[2] if batch[2] else None, # type: ignore[arg-type] ids=batch[0], ) else: @@ -851,7 +852,9 @@ class Chroma(VectorStore): collection_name: str = _LANGCHAIN_DEFAULT_COLLECTION_NAME, persist_directory: Optional[str] = None, client_settings: Optional[chromadb.config.Settings] = None, - client: Optional[chromadb.Client] = None, # Add this line + client: Optional[ # type: ignore[valid-type] + chromadb.Client + ] = None, # Add this line # type: ignore[valid-type] collection_metadata: Optional[Dict] = None, **kwargs: Any, ) -> Chroma: diff --git a/libs/community/langchain_community/vectorstores/llm_rails.py b/libs/community/langchain_community/vectorstores/llm_rails.py index 16277161280..2238d15fab0 100644 --- a/libs/community/langchain_community/vectorstores/llm_rails.py +++ b/libs/community/langchain_community/vectorstores/llm_rails.py @@ -226,7 +226,7 @@ class LLMRails(VectorStore): return LLMRailsRetriever(vectorstore=self, **kwargs) -class LLMRailsRetriever(VectorStoreRetriever): +class LLMRailsRetriever(VectorStoreRetriever): # type: ignore[override] """Retriever for LLMRails.""" vectorstore: LLMRails diff --git a/libs/community/langchain_community/vectorstores/matching_engine.py b/libs/community/langchain_community/vectorstores/matching_engine.py index 8b55d626267..86f2ea27e05 100644 --- a/libs/community/langchain_community/vectorstores/matching_engine.py +++ b/libs/community/langchain_community/vectorstores/matching_engine.py @@ -284,7 +284,7 @@ class MatchingEngine(VectorStore): page_content=page_content, metadata=metadata, ) - docs.append((document, result.distance)) + docs.append((document, result.distance)) # type: ignore[arg-type] logger.debug("Downloaded documents for query.") @@ -426,13 +426,16 @@ class MatchingEngine(VectorStore): """ gcs_bucket_name = cls._validate_gcs_bucket(gcs_bucket_name) credentials = cls._create_credentials_from_file(credentials_path) - index = cls._create_index_by_id(index_id, project_id, region, credentials) + index = cls._create_index_by_id(index_id, project_id, region, credentials) # type: ignore[arg-type] endpoint = cls._create_endpoint_by_id( - endpoint_id, project_id, region, credentials + endpoint_id, + project_id, + region, + credentials, # type: ignore[arg-type] ) - gcs_client = cls._get_gcs_client(credentials, project_id) - cls._init_aiplatform(project_id, region, gcs_bucket_name, credentials) + gcs_client = cls._get_gcs_client(credentials, project_id) # type: ignore[arg-type] + cls._init_aiplatform(project_id, region, gcs_bucket_name, credentials) # type: ignore[arg-type] return cls( project_id=project_id, diff --git a/libs/community/langchain_community/vectorstores/neo4j_vector.py b/libs/community/langchain_community/vectorstores/neo4j_vector.py index bb0be02afdd..a17444c6907 100644 --- a/libs/community/langchain_community/vectorstores/neo4j_vector.py +++ b/libs/community/langchain_community/vectorstores/neo4j_vector.py @@ -634,20 +634,20 @@ class Neo4jVector(VectorStore): or e.code == "Neo.DatabaseError.Transaction.TransactionStartFailed" ) - and "in an implicit transaction" in e.message + and "in an implicit transaction" in e.message # type: ignore[operator] ) or ( # isPeriodicCommitError e.code == "Neo.ClientError.Statement.SemanticError" and ( - "in an open transaction is not possible" in e.message - or "tried to execute in an explicit transaction" in e.message + "in an open transaction is not possible" in e.message # type: ignore[operator] + or "tried to execute in an explicit transaction" in e.message # type: ignore[operator] ) ) ): raise # Fallback to allow implicit transactions with self._driver.session(database=self._database) as session: - data = session.run(Query(text=query), params) + data = session.run(Query(text=query), params) # type: ignore[assignment] return [r.data() for r in data] def verify_version(self) -> None: diff --git a/libs/community/langchain_community/vectorstores/redis/base.py b/libs/community/langchain_community/vectorstores/redis/base.py index 5a50b8dd310..e88938ce2c6 100644 --- a/libs/community/langchain_community/vectorstores/redis/base.py +++ b/libs/community/langchain_community/vectorstores/redis/base.py @@ -1425,7 +1425,7 @@ def _prepare_metadata(metadata: Dict[str, Any]) -> Dict[str, Any]: return clean_meta -class RedisVectorStoreRetriever(VectorStoreRetriever): +class RedisVectorStoreRetriever(VectorStoreRetriever): # type: ignore[override] """Retriever for Redis VectorStore.""" vectorstore: Redis diff --git a/libs/community/langchain_community/vectorstores/redis/schema.py b/libs/community/langchain_community/vectorstores/redis/schema.py index 2cf1ee2d927..413951e1fff 100644 --- a/libs/community/langchain_community/vectorstores/redis/schema.py +++ b/libs/community/langchain_community/vectorstores/redis/schema.py @@ -124,7 +124,7 @@ class RedisVectorField(RedisField): return field_data -class FlatVectorField(RedisVectorField): +class FlatVectorField(RedisVectorField): # type: ignore[override] """Schema for flat vector fields in Redis.""" algorithm: Literal["FLAT"] = "FLAT" @@ -139,7 +139,7 @@ class FlatVectorField(RedisVectorField): return VectorField(self.name, self.algorithm, field_data) -class HNSWVectorField(RedisVectorField): +class HNSWVectorField(RedisVectorField): # type: ignore[override] """Schema for HNSW vector fields in Redis.""" algorithm: Literal["HNSW"] = "HNSW" diff --git a/libs/community/langchain_community/vectorstores/vdms.py b/libs/community/langchain_community/vectorstores/vdms.py index 8f1a2422bd0..ed50d014626 100644 --- a/libs/community/langchain_community/vectorstores/vdms.py +++ b/libs/community/langchain_community/vectorstores/vdms.py @@ -108,7 +108,7 @@ def _results_to_docs_and_scores(results: Any) -> List[Tuple[Document, float]]: (Document(page_content=txt_contents, metadata=props), distance) ) except Exception as e: - logger.warn(f"No results returned. Error while parsing results: {e}") + logger.warning(f"No results returned. Error while parsing results: {e}") return final_res diff --git a/libs/community/langchain_community/vectorstores/vectara.py b/libs/community/langchain_community/vectorstores/vectara.py index 8683e22e2d8..b71e7d12cff 100644 --- a/libs/community/langchain_community/vectorstores/vectara.py +++ b/libs/community/langchain_community/vectorstores/vectara.py @@ -723,7 +723,7 @@ class Vectara(VectorStore): ) -class VectaraRetriever(VectorStoreRetriever): +class VectaraRetriever(VectorStoreRetriever): # type: ignore[override] """Vectara Retriever class.""" vectorstore: Vectara diff --git a/libs/community/poetry.lock b/libs/community/poetry.lock index 1072eafe6ec..79a7c2b80b5 100644 --- a/libs/community/poetry.lock +++ b/libs/community/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. 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-content-hash = "5c36c0453948190412f8ea627e6a10e02c56a1ea732ca215834dad3f1d785f4c" +content-hash = "e491e87aa2f1cee1769e24a9fb4a8a8c412d53aa382ed1ba092bfcfd26a5a61c" diff --git a/libs/community/pyproject.toml b/libs/community/pyproject.toml index 8ecb5a59169..092795bf06a 100644 --- a/libs/community/pyproject.toml +++ b/libs/community/pyproject.toml @@ -89,7 +89,7 @@ optional = true optional = true [tool.poetry.group.test.dependencies] -pytest = "^7.3.0" +pytest = "^7.4.4" pytest-cov = "^4.1.0" pytest-dotenv = "^0.5.2" duckdb-engine = "^0.11.0" diff --git a/libs/community/tests/integration_tests/adapters/test_openai.py b/libs/community/tests/integration_tests/adapters/test_openai.py index 3f8f6c01c8d..644f3cc7ffe 100644 --- a/libs/community/tests/integration_tests/adapters/test_openai.py +++ b/libs/community/tests/integration_tests/adapters/test_openai.py @@ -6,7 +6,7 @@ from langchain_community.adapters import openai as lcopenai def _test_no_stream(**kwargs: Any) -> None: import openai - result = openai.ChatCompletion.create(**kwargs) + result = openai.ChatCompletion.create(**kwargs) # type: ignore[attr-defined] lc_result = lcopenai.ChatCompletion.create(**kwargs) if isinstance(lc_result, dict): if isinstance(result, dict): @@ -20,7 +20,7 @@ def _test_stream(**kwargs: Any) -> None: import openai result = [] - for c in openai.ChatCompletion.create(**kwargs): + for c in openai.ChatCompletion.create(**kwargs): # type: ignore[attr-defined] result.append(c["choices"][0]["delta"].to_dict_recursive()) lc_result = [] @@ -32,7 +32,7 @@ def _test_stream(**kwargs: Any) -> None: async def _test_async(**kwargs: Any) -> None: import openai - result = await openai.ChatCompletion.acreate(**kwargs) + result = await openai.ChatCompletion.acreate(**kwargs) # type: ignore[attr-defined] lc_result = await lcopenai.ChatCompletion.acreate(**kwargs) if isinstance(lc_result, dict): if isinstance(result, dict): @@ -46,7 +46,7 @@ async def _test_astream(**kwargs: Any) -> None: import openai result = [] - async for c in await openai.ChatCompletion.acreate(**kwargs): + async for c in await openai.ChatCompletion.acreate(**kwargs): # type: ignore[attr-defined] result.append(c["choices"][0]["delta"].to_dict_recursive()) lc_result = [] diff --git a/libs/community/tests/integration_tests/chains/test_ontotext_graphdb_qa.py b/libs/community/tests/integration_tests/chains/test_ontotext_graphdb_qa.py index 34955b66431..85785f660b5 100644 --- a/libs/community/tests/integration_tests/chains/test_ontotext_graphdb_qa.py +++ b/libs/community/tests/integration_tests/chains/test_ontotext_graphdb_qa.py @@ -375,7 +375,7 @@ def test_chain(model_name: str, question: str) -> None: "FROM WHERE {?s ?p ?o}", ) chain = OntotextGraphDBQAChain.from_llm( - ChatOpenAI(temperature=0, model_name=model_name), + ChatOpenAI(temperature=0, model_name=model_name), # type: ignore[call-arg] graph=graph, verbose=True, # type: ignore[call-arg] ) diff --git a/libs/community/tests/integration_tests/embeddings/test_azure_openai.py b/libs/community/tests/integration_tests/embeddings/test_azure_openai.py index 7f895055ea2..5f304551b22 100644 --- a/libs/community/tests/integration_tests/embeddings/test_azure_openai.py +++ b/libs/community/tests/integration_tests/embeddings/test_azure_openai.py @@ -105,7 +105,7 @@ def test_azure_openai_embedding_with_empty_string() -> None: output = embedding.embed_documents(document) assert len(output) == 2 assert len(output[0]) == 1536 - expected_output = openai.Embedding.create(input="", model="text-embedding-ada-002")[ + expected_output = openai.Embedding.create(input="", model="text-embedding-ada-002")[ # type: ignore[attr-defined] "data" ][0]["embedding"] assert np.allclose(output[0], expected_output) diff --git a/libs/community/tests/integration_tests/embeddings/test_openai.py b/libs/community/tests/integration_tests/embeddings/test_openai.py index ac6c0a6f8ba..739b12593f8 100644 --- a/libs/community/tests/integration_tests/embeddings/test_openai.py +++ b/libs/community/tests/integration_tests/embeddings/test_openai.py @@ -71,7 +71,7 @@ def test_openai_embedding_with_empty_string() -> None: output = embedding.embed_documents(document) assert len(output) == 2 assert len(output[0]) == 1536 - expected_output = openai.Embedding.create(input="", model="text-embedding-ada-002")[ + expected_output = openai.Embedding.create(input="", model="text-embedding-ada-002")[ # type: ignore[attr-defined] "data" ][0]["embedding"] assert np.allclose(output[0], expected_output) diff --git a/libs/community/tests/integration_tests/vectorstores/test_chroma.py b/libs/community/tests/integration_tests/vectorstores/test_chroma.py index 6bc38cb960a..a41c983a16f 100644 --- a/libs/community/tests/integration_tests/vectorstores/test_chroma.py +++ b/libs/community/tests/integration_tests/vectorstores/test_chroma.py @@ -206,7 +206,7 @@ def test_chroma_update_document() -> None: embedding=embedding, ids=[document_id], ) - old_embedding = docsearch._collection.peek()["embeddings"][ + old_embedding = docsearch._collection.peek()["embeddings"][ # type: ignore[index] docsearch._collection.peek()["ids"].index(document_id) ] @@ -226,7 +226,7 @@ def test_chroma_update_document() -> None: assert output == [Document(page_content=updated_content, metadata={"page": "0"})] # Assert that the new embedding is correct - new_embedding = docsearch._collection.peek()["embeddings"][ + new_embedding = docsearch._collection.peek()["embeddings"][ # type: ignore[index] docsearch._collection.peek()["ids"].index(document_id) ] assert new_embedding == embedding.embed_documents([updated_content])[0] @@ -344,7 +344,7 @@ def test_chroma_large_batch() -> None: "my_collection", embedding_function=embedding_function.embed_documents, # type: ignore ) - docs = ["This is a test document"] * (client.max_batch_size + 100) + docs = ["This is a test document"] * (client.max_batch_size + 100) # type: ignore[attr-defined] Chroma.from_texts( client=client, collection_name=col.name, @@ -372,7 +372,7 @@ def test_chroma_large_batch_update() -> None: "my_collection", embedding_function=embedding_function.embed_documents, # type: ignore ) - docs = ["This is a test document"] * (client.max_batch_size + 100) + docs = ["This is a test document"] * (client.max_batch_size + 100) # type: ignore[attr-defined] ids = [str(uuid.uuid4()) for _ in range(len(docs))] db = Chroma.from_texts( client=client, diff --git a/libs/community/tests/integration_tests/vectorstores/test_singlestoredb.py b/libs/community/tests/integration_tests/vectorstores/test_singlestoredb.py index b59ac2dee8f..fe8e3ca3004 100644 --- a/libs/community/tests/integration_tests/vectorstores/test_singlestoredb.py +++ b/libs/community/tests/integration_tests/vectorstores/test_singlestoredb.py @@ -557,7 +557,7 @@ def test_singestoredb_add_image2() -> None: table_name = "test_singlestoredb_add_images" drop(table_name) docsearch = SingleStoreDB( - OpenCLIPEmbeddings(), + OpenCLIPEmbeddings(), # type: ignore[call-arg, call-arg, call-arg] table_name=table_name, host=TEST_SINGLESTOREDB_URL, ) diff --git a/libs/core/langchain_core/vectorstores/utils.py b/libs/core/langchain_core/vectorstores/utils.py index 6a8f6758f99..add5e2ef4ab 100644 --- a/libs/core/langchain_core/vectorstores/utils.py +++ b/libs/core/langchain_core/vectorstores/utils.py @@ -53,7 +53,7 @@ def _cosine_similarity(x: Matrix, y: Matrix) -> np.ndarray: ) raise ValueError(msg) try: - import simsimd as simd # type: ignore[import-not-found] + import simsimd as simd # type: ignore x = np.array(x, dtype=np.float32) y = np.array(y, dtype=np.float32) diff --git a/libs/core/poetry.lock b/libs/core/poetry.lock index 6b960860db2..c8441c5735d 100644 --- a/libs/core/poetry.lock +++ b/libs/core/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. 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description = "A tiny CSS parser" optional = false python-versions = ">=3.8" files = [ - {file = "tinycss2-1.3.0-py3-none-any.whl", hash = "sha256:54a8dbdffb334d536851be0226030e9505965bb2f30f21a4a82c55fb2a80fae7"}, - {file = "tinycss2-1.3.0.tar.gz", hash = "sha256:152f9acabd296a8375fbca5b84c961ff95971fcfc32e79550c8df8e29118c54d"}, + {file = "tinycss2-1.4.0-py3-none-any.whl", hash = "sha256:3a49cf47b7675da0b15d0c6e1df8df4ebd96e9394bb905a5775adb0d884c5289"}, + {file = "tinycss2-1.4.0.tar.gz", hash = "sha256:10c0972f6fc0fbee87c3edb76549357415e94548c1ae10ebccdea16fb404a9b7"}, ] [package.dependencies] @@ -3098,4 +2962,4 @@ type = ["pytest-mypy"] [metadata] lock-version = "2.0" python-versions = ">=3.9,<4.0" -content-hash = "553cec5042402574196ae21460a8f8915ddcd9c0190196bd9a666ef8c3a112a8" +content-hash = "06bd735e73dd0eff94b3fbf2c429280a5908e01c9b7f0273865be39c02458874" diff --git a/libs/core/pyproject.toml b/libs/core/pyproject.toml index 81604038c8b..0a840852b20 100644 --- a/libs/core/pyproject.toml +++ b/libs/core/pyproject.toml @@ -89,7 +89,6 @@ mypy = ">=1.10,<1.11" types-pyyaml = "^6.0.12.2" types-requests = "^2.28.11.5" types-jinja2 = "^2.11.9" -simsimd = "^5.0.0" [tool.poetry.group.dev.dependencies] jupyter = "^1.0.0" @@ -97,14 +96,13 @@ setuptools = "^67.6.1" grandalf = "^0.8" [tool.poetry.group.test.dependencies] -pytest = "^7.3.0" +pytest = "^8" freezegun = "^1.2.2" pytest-mock = "^3.10.0" syrupy = "^4.0.2" pytest-watcher = "^0.3.4" pytest-asyncio = "^0.21.1" grandalf = "^0.8" -pytest-profiling = "^1.7.0" responses = "^0.25.0" [[tool.poetry.group.test.dependencies.numpy]] version = "^1.24.0" diff --git a/libs/core/tests/unit_tests/prompts/test_chat.py b/libs/core/tests/unit_tests/prompts/test_chat.py index ec9d05c6de5..eee1ac498ec 100644 --- a/libs/core/tests/unit_tests/prompts/test_chat.py +++ b/libs/core/tests/unit_tests/prompts/test_chat.py @@ -1,5 +1,6 @@ import base64 import tempfile +import warnings from pathlib import Path from typing import Any, Union, cast @@ -947,7 +948,8 @@ def test_chat_prompt_template_variable_names() -> None: Verify that no run time warnings are raised. """ - with pytest.warns(None) as record: # type: ignore + with warnings.catch_warnings(record=True) as record: + warnings.simplefilter("always") # Cause all warnings to always be triggered prompt = ChatPromptTemplate([("system", "{schema}")]) prompt.get_input_schema() diff --git a/libs/core/tests/unit_tests/runnables/__snapshots__/test_runnable.ambr b/libs/core/tests/unit_tests/runnables/__snapshots__/test_runnable.ambr index e74caea6312..c8312104b0d 100644 --- a/libs/core/tests/unit_tests/runnables/__snapshots__/test_runnable.ambr +++ b/libs/core/tests/unit_tests/runnables/__snapshots__/test_runnable.ambr @@ -1725,12 +1725,6 @@ RunTree(id=UUID('00000000-0000-4000-8000-000000000000'), name='RunnableSequence', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='chain', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized=None, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'What is your name?'}, outputs={'output': ['bear', 'dog', 'cat']}, reference_example_id=None, parent_run_id=None, tags=[], attachments={}, child_runs=[RunTree(id=UUID('00000000-0000-4000-8000-000000000001'), name='ChatPromptTemplate', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='prompt', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized={'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'ChatPromptTemplate'], 'kwargs': {'input_variables': ['question'], 'messages': [{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'SystemMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': [], 'template': 'You are a nice assistant.', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'HumanMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': ['question'], 'template': '{question}', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}]}, 'name': 'ChatPromptTemplate'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'What is your name?'}, outputs={'output': ChatPromptValue(messages=[SystemMessage(content='You are a nice assistant.', additional_kwargs={}, response_metadata={}), HumanMessage(content='What is your name?', additional_kwargs={}, response_metadata={})])}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:1'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000001', trace_id=UUID('00000000-0000-4000-8000-000000000000')), RunTree(id=UUID('00000000-0000-4000-8000-000000000002'), name='FakeStreamingListLLM', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='llm', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={'invocation_params': {'responses': ['bear, dog, cat', 'tomato, lettuce, onion'], '_type': 'fake-list', 'stop': None}, 'options': {'stop': None}, 'batch_size': 1, 'metadata': {'ls_provider': 'fakestreaminglist', 'ls_model_type': 'llm'}}, error=None, serialized={'lc': 1, 'type': 'not_implemented', 'id': ['langchain_core', 'language_models', 'fake', 'FakeStreamingListLLM'], 'repr': "FakeStreamingListLLM(responses=['bear, dog, cat', 'tomato, lettuce, onion'])", 'name': 'FakeStreamingListLLM'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'prompts': ['System: You are a nice assistant.\nHuman: What is your name?']}, outputs={'generations': [[{'text': 'bear, dog, cat', 'generation_info': None, 'type': 'Generation'}]], 'llm_output': None, 'run': None, 'type': 'LLMResult'}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:2'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000002', trace_id=UUID('00000000-0000-4000-8000-000000000000')), RunTree(id=UUID('00000000-0000-4000-8000-000000000003'), name='CommaSeparatedListOutputParser', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='parser', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized=None, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'input': 'bear, dog, cat'}, outputs={'output': ['bear', 'dog', 'cat']}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:3'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000003', trace_id=UUID('00000000-0000-4000-8000-000000000000'))], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000', trace_id=UUID('00000000-0000-4000-8000-000000000000')), ]) # --- -# name: test_prompt_with_llm_parser.2 - list([ - RunTree(id=UUID('00000000-0000-4000-8000-000000000000'), name='RunnableSequence', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='chain', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized=None, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'What is your name?'}, outputs={'output': ['tomato', 'lettuce', 'onion']}, reference_example_id=None, parent_run_id=None, tags=[], attachments={}, child_runs=[RunTree(id=UUID('00000000-0000-4000-8000-000000000001'), name='ChatPromptTemplate', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='prompt', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized={'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'ChatPromptTemplate'], 'kwargs': {'input_variables': ['question'], 'messages': [{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'SystemMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': [], 'template': 'You are a nice assistant.', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'HumanMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': ['question'], 'template': '{question}', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}]}, 'name': 'ChatPromptTemplate'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'What is your name?'}, outputs={'output': ChatPromptValue(messages=[SystemMessage(content='You are a nice assistant.', additional_kwargs={}, response_metadata={}), HumanMessage(content='What is your name?', additional_kwargs={}, response_metadata={})])}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:1'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000001', trace_id=UUID('00000000-0000-4000-8000-000000000000')), RunTree(id=UUID('00000000-0000-4000-8000-000000000002'), name='FakeStreamingListLLM', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='llm', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={'invocation_params': {'responses': ['bear, dog, cat', 'tomato, lettuce, onion'], '_type': 'fake-list', 'stop': None}, 'options': {'stop': None}, 'batch_size': 2, 'metadata': {'ls_provider': 'fakestreaminglist', 'ls_model_type': 'llm'}}, error=None, serialized={'lc': 1, 'type': 'not_implemented', 'id': ['langchain_core', 'language_models', 'fake', 'FakeStreamingListLLM'], 'repr': "FakeStreamingListLLM(responses=['bear, dog, cat', 'tomato, lettuce, onion'])", 'name': 'FakeStreamingListLLM'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'prompts': ['System: You are a nice assistant.\nHuman: What is your name?']}, outputs={'generations': [[{'text': 'tomato, lettuce, onion', 'generation_info': None, 'type': 'Generation'}]], 'llm_output': None, 'run': None, 'type': 'LLMResult'}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:2'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000002', trace_id=UUID('00000000-0000-4000-8000-000000000000')), RunTree(id=UUID('00000000-0000-4000-8000-000000000003'), name='CommaSeparatedListOutputParser', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='parser', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized=None, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'input': 'tomato, lettuce, onion'}, outputs={'output': ['tomato', 'lettuce', 'onion']}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:3'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000003', trace_id=UUID('00000000-0000-4000-8000-000000000000'))], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000', trace_id=UUID('00000000-0000-4000-8000-000000000000')), - RunTree(id=UUID('00000000-0000-4000-8000-000000000004'), name='RunnableSequence', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='chain', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized=None, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'What is your favorite color?'}, outputs={'output': ['bear', 'dog', 'cat']}, reference_example_id=None, parent_run_id=None, tags=[], attachments={}, child_runs=[RunTree(id=UUID('00000000-0000-4000-8000-000000000005'), name='ChatPromptTemplate', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='prompt', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized={'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'ChatPromptTemplate'], 'kwargs': {'input_variables': ['question'], 'messages': [{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'SystemMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': [], 'template': 'You are a nice assistant.', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'HumanMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': ['question'], 'template': '{question}', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}]}, 'name': 'ChatPromptTemplate'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'What is your favorite color?'}, outputs={'output': ChatPromptValue(messages=[SystemMessage(content='You are a nice assistant.', additional_kwargs={}, response_metadata={}), HumanMessage(content='What is your favorite color?', additional_kwargs={}, response_metadata={})])}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000004'), tags=['seq:step:1'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000004.20230101T000000000000Z00000000-0000-4000-8000-000000000005', trace_id=UUID('00000000-0000-4000-8000-000000000004')), RunTree(id=UUID('00000000-0000-4000-8000-000000000006'), name='FakeStreamingListLLM', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='llm', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={'invocation_params': {'responses': ['bear, dog, cat', 'tomato, lettuce, onion'], '_type': 'fake-list', 'stop': None}, 'options': {'stop': None}, 'batch_size': 2, 'metadata': {'ls_provider': 'fakestreaminglist', 'ls_model_type': 'llm'}}, error=None, serialized={'lc': 1, 'type': 'not_implemented', 'id': ['langchain_core', 'language_models', 'fake', 'FakeStreamingListLLM'], 'repr': "FakeStreamingListLLM(responses=['bear, dog, cat', 'tomato, lettuce, onion'])", 'name': 'FakeStreamingListLLM'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'prompts': ['System: You are a nice assistant.\nHuman: What is your favorite color?']}, outputs={'generations': [[{'text': 'bear, dog, cat', 'generation_info': None, 'type': 'Generation'}]], 'llm_output': None, 'run': None, 'type': 'LLMResult'}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000004'), tags=['seq:step:2'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000004.20230101T000000000000Z00000000-0000-4000-8000-000000000006', trace_id=UUID('00000000-0000-4000-8000-000000000004')), RunTree(id=UUID('00000000-0000-4000-8000-000000000007'), name='CommaSeparatedListOutputParser', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='parser', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized=None, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'input': 'bear, dog, cat'}, outputs={'output': ['bear', 'dog', 'cat']}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000004'), tags=['seq:step:3'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000004.20230101T000000000000Z00000000-0000-4000-8000-000000000007', trace_id=UUID('00000000-0000-4000-8000-000000000004'))], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000004', trace_id=UUID('00000000-0000-4000-8000-000000000004')), - ]) -# --- # name: test_router_runnable ''' { diff --git a/libs/core/tests/unit_tests/runnables/test_runnable.py b/libs/core/tests/unit_tests/runnables/test_runnable.py index a58e81dc362..7b03b53c212 100644 --- a/libs/core/tests/unit_tests/runnables/test_runnable.py +++ b/libs/core/tests/unit_tests/runnables/test_runnable.py @@ -1307,7 +1307,7 @@ async def test_with_config(mocker: MockerFixture) -> None: 5, 7, ] - assert spy.call_args_list == [ + assert sorted(spy.call_args_list) == [ mocker.call( "hello", { @@ -2161,7 +2161,13 @@ async def test_prompt_with_llm_parser( "tomato, lettuce, onion", "bear, dog, cat", ] - assert tracer.runs == snapshot + assert len(tracer.runs) == 2 + assert all( + run.name == "RunnableSequence" + and run.run_type == "chain" + and len(run.child_runs) == 3 + for run in tracer.runs + ) mocker.stop(prompt_spy) mocker.stop(llm_spy) mocker.stop(parser_spy) diff --git a/libs/core/tests/unit_tests/utils/test_pydantic.py b/libs/core/tests/unit_tests/utils/test_pydantic.py index 01e5657866f..fbe748a227d 100644 --- a/libs/core/tests/unit_tests/utils/test_pydantic.py +++ b/libs/core/tests/unit_tests/utils/test_pydantic.py @@ -1,5 +1,6 @@ """Test for some custom pydantic decorators.""" +import warnings from typing import Any, Optional import pytest @@ -202,27 +203,31 @@ def test_fields_pydantic_v1_from_2() -> None: def test_create_model_v2() -> None: """Test that create model v2 works as expected.""" - with pytest.warns(None) as record: # type: ignore + with warnings.catch_warnings(record=True) as record: + warnings.simplefilter("always") # Cause all warnings to always be triggered foo = create_model_v2("Foo", field_definitions={"a": (int, None)}) foo.model_json_schema() assert list(record) == [] # schema is used by pydantic, but OK to re-use - with pytest.warns(None) as record: # type: ignore + with warnings.catch_warnings(record=True) as record: + warnings.simplefilter("always") # Cause all warnings to always be triggered foo = create_model_v2("Foo", field_definitions={"schema": (int, None)}) foo.model_json_schema() assert list(record) == [] # From protected namespaces, but definitely OK to use. - with pytest.warns(None) as record: # type: ignore + with warnings.catch_warnings(record=True) as record: + warnings.simplefilter("always") # Cause all warnings to always be triggered foo = create_model_v2("Foo", field_definitions={"model_id": (int, None)}) foo.model_json_schema() assert list(record) == [] - with pytest.warns(None) as record: # type: ignore + with warnings.catch_warnings(record=True) as record: + warnings.simplefilter("always") # Cause all warnings to always be triggered # Verify that we can use non-English characters field_name = "もしもし" foo = create_model_v2("Foo", field_definitions={field_name: (int, None)}) diff --git a/libs/langchain/langchain/agents/agent.py b/libs/langchain/langchain/agents/agent.py index e5c3175a5fe..7cce5803914 100644 --- a/libs/langchain/langchain/agents/agent.py +++ b/libs/langchain/langchain/agents/agent.py @@ -1022,7 +1022,7 @@ class Agent(BaseSingleActionAgent): } -class ExceptionTool(BaseTool): +class ExceptionTool(BaseTool): # type: ignore[override] """Tool that just returns the query.""" name: str = "_Exception" diff --git a/libs/langchain/langchain/agents/openai_functions_agent/agent_token_buffer_memory.py b/libs/langchain/langchain/agents/openai_functions_agent/agent_token_buffer_memory.py index f6e53ee26a1..9b5fc009ae7 100644 --- a/libs/langchain/langchain/agents/openai_functions_agent/agent_token_buffer_memory.py +++ b/libs/langchain/langchain/agents/openai_functions_agent/agent_token_buffer_memory.py @@ -12,7 +12,7 @@ from langchain.agents.format_scratchpad import ( from langchain.memory.chat_memory import BaseChatMemory -class AgentTokenBufferMemory(BaseChatMemory): +class AgentTokenBufferMemory(BaseChatMemory): # type: ignore[override] """Memory used to save agent output AND intermediate steps. Parameters: diff --git a/libs/langchain/langchain/agents/output_parsers/tools.py b/libs/langchain/langchain/agents/output_parsers/tools.py index 850fdb42af6..a72b9441fb2 100644 --- a/libs/langchain/langchain/agents/output_parsers/tools.py +++ b/libs/langchain/langchain/agents/output_parsers/tools.py @@ -14,7 +14,7 @@ from langchain_core.outputs import ChatGeneration, Generation from langchain.agents.agent import MultiActionAgentOutputParser -class ToolAgentAction(AgentActionMessageLog): +class ToolAgentAction(AgentActionMessageLog): # type: ignore[override] tool_call_id: str """Tool call that this message is responding to.""" diff --git a/libs/langchain/langchain/agents/tools.py b/libs/langchain/langchain/agents/tools.py index 4a36fb1ee45..41763dc9f42 100644 --- a/libs/langchain/langchain/agents/tools.py +++ b/libs/langchain/langchain/agents/tools.py @@ -9,7 +9,7 @@ from langchain_core.callbacks import ( from langchain_core.tools import BaseTool, tool -class InvalidTool(BaseTool): +class InvalidTool(BaseTool): # type: ignore[override] """Tool that is run when invalid tool name is encountered by agent.""" name: str = "invalid_tool" diff --git a/libs/langchain/langchain/chains/conversation/base.py b/libs/langchain/langchain/chains/conversation/base.py index 2399d963543..0756234a719 100644 --- a/libs/langchain/langchain/chains/conversation/base.py +++ b/libs/langchain/langchain/chains/conversation/base.py @@ -21,7 +21,7 @@ from langchain.memory.buffer import ConversationBufferMemory ), removal="1.0", ) -class ConversationChain(LLMChain): +class ConversationChain(LLMChain): # type: ignore[override, override] """Chain to have a conversation and load context from memory. This class is deprecated in favor of ``RunnableWithMessageHistory``. Please refer diff --git a/libs/langchain/langchain/chains/router/multi_retrieval_qa.py b/libs/langchain/langchain/chains/router/multi_retrieval_qa.py index 77c5253851b..848d4b1862e 100644 --- a/libs/langchain/langchain/chains/router/multi_retrieval_qa.py +++ b/libs/langchain/langchain/chains/router/multi_retrieval_qa.py @@ -19,7 +19,7 @@ from langchain.chains.router.multi_retrieval_prompt import ( ) -class MultiRetrievalQAChain(MultiRouteChain): +class MultiRetrievalQAChain(MultiRouteChain): # type: ignore[override] """A multi-route chain that uses an LLM router chain to choose amongst retrieval qa chains.""" diff --git a/libs/langchain/langchain/evaluation/comparison/eval_chain.py b/libs/langchain/langchain/evaluation/comparison/eval_chain.py index 46b9001e48f..79780fc801c 100644 --- a/libs/langchain/langchain/evaluation/comparison/eval_chain.py +++ b/libs/langchain/langchain/evaluation/comparison/eval_chain.py @@ -95,7 +95,7 @@ def resolve_pairwise_criteria( return criteria_ -class PairwiseStringResultOutputParser(BaseOutputParser[dict]): +class PairwiseStringResultOutputParser(BaseOutputParser[dict]): # type: ignore[override] """A parser for the output of the PairwiseStringEvalChain. Attributes: @@ -151,7 +151,7 @@ class PairwiseStringResultOutputParser(BaseOutputParser[dict]): } -class PairwiseStringEvalChain(PairwiseStringEvaluator, LLMEvalChain, LLMChain): +class PairwiseStringEvalChain(PairwiseStringEvaluator, LLMEvalChain, LLMChain): # type: ignore[override] """A chain for comparing two outputs, such as the outputs of two models, prompts, or outputs of a single model on similar inputs. @@ -391,7 +391,7 @@ Performance may be significantly worse with other models." return self._prepare_output(result) -class LabeledPairwiseStringEvalChain(PairwiseStringEvalChain): +class LabeledPairwiseStringEvalChain(PairwiseStringEvalChain): # type: ignore[override] """A chain for comparing two outputs, such as the outputs of two models, prompts, or outputs of a single model on similar inputs, with labeled preferences. diff --git a/libs/langchain/langchain/evaluation/criteria/eval_chain.py b/libs/langchain/langchain/evaluation/criteria/eval_chain.py index 896b1efceab..6daec738482 100644 --- a/libs/langchain/langchain/evaluation/criteria/eval_chain.py +++ b/libs/langchain/langchain/evaluation/criteria/eval_chain.py @@ -164,7 +164,7 @@ def resolve_criteria( return criteria_ -class CriteriaEvalChain(StringEvaluator, LLMEvalChain, LLMChain): +class CriteriaEvalChain(StringEvaluator, LLMEvalChain, LLMChain): # type: ignore[override] """LLM Chain for evaluating runs against criteria. Parameters @@ -508,7 +508,7 @@ class CriteriaEvalChain(StringEvaluator, LLMEvalChain, LLMChain): return self._prepare_output(result) -class LabeledCriteriaEvalChain(CriteriaEvalChain): +class LabeledCriteriaEvalChain(CriteriaEvalChain): # type: ignore[override] """Criteria evaluation chain that requires references.""" @classmethod diff --git a/libs/langchain/langchain/evaluation/scoring/eval_chain.py b/libs/langchain/langchain/evaluation/scoring/eval_chain.py index a8a84a05813..7a6e3de78f5 100644 --- a/libs/langchain/langchain/evaluation/scoring/eval_chain.py +++ b/libs/langchain/langchain/evaluation/scoring/eval_chain.py @@ -144,7 +144,7 @@ class ScoreStringResultOutputParser(BaseOutputParser[dict]): } -class ScoreStringEvalChain(StringEvaluator, LLMEvalChain, LLMChain): +class ScoreStringEvalChain(StringEvaluator, LLMEvalChain, LLMChain): # type: ignore[override] """A chain for scoring on a scale of 1-10 the output of a model. Attributes: @@ -396,7 +396,7 @@ Performance may be significantly worse with other models." return self._prepare_output(result) -class LabeledScoreStringEvalChain(ScoreStringEvalChain): +class LabeledScoreStringEvalChain(ScoreStringEvalChain): # type: ignore[override] """A chain for scoring the output of a model on a scale of 1-10. Attributes: diff --git a/libs/langchain/langchain/retrievers/document_compressors/chain_extract.py b/libs/langchain/langchain/retrievers/document_compressors/chain_extract.py index 9933319ad04..9e145d1dcc9 100644 --- a/libs/langchain/langchain/retrievers/document_compressors/chain_extract.py +++ b/libs/langchain/langchain/retrievers/document_compressors/chain_extract.py @@ -2,7 +2,6 @@ from __future__ import annotations -import asyncio from typing import Any, Callable, Dict, Optional, Sequence, cast from langchain_core.callbacks.manager import Callbacks @@ -92,12 +91,8 @@ class LLMChainExtractor(BaseDocumentCompressor): callbacks: Optional[Callbacks] = None, ) -> Sequence[Document]: """Compress page content of raw documents asynchronously.""" - outputs = await asyncio.gather( - *[ - self.llm_chain.ainvoke(self.get_input(query, doc), callbacks=callbacks) - for doc in documents - ] - ) + inputs = [self.get_input(query, doc) for doc in documents] + outputs = await self.llm_chain.abatch(inputs, {"callbacks": callbacks}) compressed_docs = [] for i, doc in enumerate(documents): if len(outputs[i]) == 0: diff --git a/libs/langchain/langchain/smith/evaluation/string_run_evaluator.py b/libs/langchain/langchain/smith/evaluation/string_run_evaluator.py index 4bc95504d13..b3503b0faf2 100644 --- a/libs/langchain/langchain/smith/evaluation/string_run_evaluator.py +++ b/libs/langchain/langchain/smith/evaluation/string_run_evaluator.py @@ -239,7 +239,7 @@ class StringExampleMapper(Serializable): return self.map(example) -class StringRunEvaluatorChain(Chain, RunEvaluator): +class StringRunEvaluatorChain(Chain, RunEvaluator): # type: ignore[override, override] """Evaluate Run and optional examples.""" run_mapper: StringRunMapper diff --git a/libs/langchain/poetry.lock b/libs/langchain/poetry.lock index 26982ada7be..7d952f6e23e 100644 --- a/libs/langchain/poetry.lock +++ b/libs/langchain/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. 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York",}' result = json_validity_evaluator.evaluate_strings(prediction=prediction) assert result["score"] == 0 - assert result["reasoning"].startswith( - "Expecting property name enclosed in double quotes" - ) @pytest.fixture diff --git a/libs/langchain/tests/unit_tests/retrievers/document_compressors/test_chain_extract.py b/libs/langchain/tests/unit_tests/retrievers/document_compressors/test_chain_extract.py index 1e4afed1eec..87b9898b9b5 100644 --- a/libs/langchain/tests/unit_tests/retrievers/document_compressors/test_chain_extract.py +++ b/libs/langchain/tests/unit_tests/retrievers/document_compressors/test_chain_extract.py @@ -72,7 +72,7 @@ async def test_llm_chain_extractor_async() -> None: output = await doc_compressor.acompress_documents( documents, "Tell me about Candlepin bowling." ) - expected = documents = [ + expected = [ Document( page_content="Candlepin bowling is popular in New England.", metadata={"a": 1}, diff --git a/libs/text-splitters/poetry.lock 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-autodoc_pydantic = "^2" -sphinx = ">=7" -sphinx-autobuild = ">=2024" -pydata-sphinx-theme = ">=0.15" -toml = "^0.10.2" - [tool.poetry.group.lint.dependencies] ruff = "^0.5.0" -langchain-core = { path = "libs/core/", develop = true } -langchain-text-splitters = { path = "libs/text-splitters", develop = true } -langchain-community = { path = "libs/community/", develop = true } -langchain = { path = "libs/langchain/", develop = true } -langchain-openai = { path = "libs/partners/openai", develop = true } - -[tool.poetry.group.codespell.dependencies] -codespell = "^2.2.0" - [tool.poetry.group.dev.dependencies] langchain-core = { path = "libs/core/", develop = true } @@ -38,12 +22,10 @@ langchain = { path = "libs/langchain/", develop = true } langchain-openai = { path = "libs/partners/openai", develop = true } ipykernel = "^6.29.2" -# Support Python 3.8 and 3.12+. -# Can be removed once the numpy version is fixed in langchain-community. -numpy = [ - { version = "^1.24.0", python = "<3.12" }, - { version = "^1.26.0", python = ">=3.12" }, -] +[tool.poetry.group.codespell.dependencies] +codespell = "^2.2.0" + +[tool.poetry.group.typing.dependencies] [tool.poetry.group.test.dependencies] langchain-experimental = { git = "https://github.com/langchain-ai/langchain-experimental.git", subdirectory = "libs/experimental" } @@ -57,10 +39,6 @@ faiss-cpu = "^1.7.4" pypdf = "^5.0.0" vcrpy = "^6.0.1" -[tool.poetry.group.test_integration.dependencies] - -[tool.poetry.group.typing.dependencies] - [tool.codespell] skip = '.git,*.pdf,*.svg,*.pdf,*.yaml,*.ipynb,poetry.lock,*.min.js,*.css,package-lock.json,example_data,_dist,examples,templates,*.trig' # Ignore latin etc