infra: update mypy 1.10, ruff 0.5 (#23721)

```python
"""python scripts/update_mypy_ruff.py"""
import glob
import tomllib
from pathlib import Path

import toml
import subprocess
import re

ROOT_DIR = Path(__file__).parents[1]


def main():
    for path in glob.glob(str(ROOT_DIR / "libs/**/pyproject.toml"), recursive=True):
        print(path)
        with open(path, "rb") as f:
            pyproject = tomllib.load(f)
        try:
            pyproject["tool"]["poetry"]["group"]["typing"]["dependencies"]["mypy"] = (
                "^1.10"
            )
            pyproject["tool"]["poetry"]["group"]["lint"]["dependencies"]["ruff"] = (
                "^0.5"
            )
        except KeyError:
            continue
        with open(path, "w") as f:
            toml.dump(pyproject, f)
        cwd = "/".join(path.split("/")[:-1])
        completed = subprocess.run(
            "poetry lock --no-update; poetry install --with typing; poetry run mypy . --no-color",
            cwd=cwd,
            shell=True,
            capture_output=True,
            text=True,
        )
        logs = completed.stdout.split("\n")

        to_ignore = {}
        for l in logs:
            if re.match("^(.*)\:(\d+)\: error:.*\[(.*)\]", l):
                path, line_no, error_type = re.match(
                    "^(.*)\:(\d+)\: error:.*\[(.*)\]", l
                ).groups()
                if (path, line_no) in to_ignore:
                    to_ignore[(path, line_no)].append(error_type)
                else:
                    to_ignore[(path, line_no)] = [error_type]
        print(len(to_ignore))
        for (error_path, line_no), error_types in to_ignore.items():
            all_errors = ", ".join(error_types)
            full_path = f"{cwd}/{error_path}"
            try:
                with open(full_path, "r") as f:
                    file_lines = f.readlines()
            except FileNotFoundError:
                continue
            file_lines[int(line_no) - 1] = (
                file_lines[int(line_no) - 1][:-1] + f"  # type: ignore[{all_errors}]\n"
            )
            with open(full_path, "w") as f:
                f.write("".join(file_lines))

        subprocess.run(
            "poetry run ruff format .; poetry run ruff --select I --fix .",
            cwd=cwd,
            shell=True,
            capture_output=True,
            text=True,
        )


if __name__ == "__main__":
    main()

```

libs/community/langchain_community/llms/anyscale.py

@@ -1,4 +1,5 @@
 """Wrapper around Anyscale Endpoint"""
+
 from typing import (
     Any,
     Dict,

libs/community/langchain_community/llms/databricks.py

@@ -44,8 +44,7 @@ class _DatabricksClientBase(BaseModel, ABC):
     @abstractmethod
     def post(
         self, request: Any, transform_output_fn: Optional[Callable[..., str]] = None
-    ) -> Any:
-        ...
+    ) -> Any: ...
 
     @property
     def llm(self) -> bool:

libs/community/langchain_community/llms/edenai.py

@@ -1,4 +1,5 @@
 """Wrapper around EdenAI's Generation API."""
+
 import logging
 from typing import Any, Dict, List, Literal, Optional
 

libs/community/langchain_community/llms/konko.py

@@ -1,4 +1,5 @@
 """Wrapper around Konko AI's Completion API."""
+
 import logging
 import warnings
 from typing import Any, Dict, List, Optional

libs/community/langchain_community/llms/layerup_security.py

@@ -39,12 +39,12 @@ class LayerupSecurity(LLM):
     response_guardrails: Optional[List[str]] = []
     mask: bool = False
     metadata: Optional[Dict[str, Any]] = {}
-    handle_prompt_guardrail_violation: Callable[
-        [dict], str
-    ] = default_guardrail_violation_handler
-    handle_response_guardrail_violation: Callable[
-        [dict], str
-    ] = default_guardrail_violation_handler
+    handle_prompt_guardrail_violation: Callable[[dict], str] = (
+        default_guardrail_violation_handler
+    )
+    handle_response_guardrail_violation: Callable[[dict], str] = (
+        default_guardrail_violation_handler
+    )
     client: Any  #: :meta private:
 
     @root_validator(pre=True)

libs/community/langchain_community/llms/loading.py

@@ -1,4 +1,5 @@
 """Base interface for loading large language model APIs."""
+
 import json
 from pathlib import Path
 from typing import Any, Union

libs/community/langchain_community/llms/minimax.py

@@ -1,4 +1,5 @@
 """Wrapper around Minimax APIs."""
+
 from __future__ import annotations
 
 import logging

libs/community/langchain_community/llms/oci_generative_ai.py

@@ -18,12 +18,10 @@ CUSTOM_ENDPOINT_PREFIX = "ocid1.generativeaiendpoint"
 class Provider(ABC):
     @property
     @abstractmethod
-    def stop_sequence_key(self) -> str:
-        ...
+    def stop_sequence_key(self) -> str: ...
 
     @abstractmethod
-    def completion_response_to_text(self, response: Any) -> str:
-        ...
+    def completion_response_to_text(self, response: Any) -> str: ...
 
 
 class CohereProvider(Provider):
@@ -144,13 +142,13 @@ class OCIGenAIBase(BaseModel, ABC):
                     oci_config=client_kwargs["config"]
                 )
             elif values["auth_type"] == OCIAuthType(3).name:
-                client_kwargs[
-                    "signer"
-                ] = oci.auth.signers.InstancePrincipalsSecurityTokenSigner()
+                client_kwargs["signer"] = (
+                    oci.auth.signers.InstancePrincipalsSecurityTokenSigner()
+                )
             elif values["auth_type"] == OCIAuthType(4).name:
-                client_kwargs[
-                    "signer"
-                ] = oci.auth.signers.get_resource_principals_signer()
+                client_kwargs["signer"] = (
+                    oci.auth.signers.get_resource_principals_signer()
+                )
             else:
                 raise ValueError(
                     "Please provide valid value to auth_type, "

libs/community/langchain_community/llms/openllm.py

@@ -93,9 +93,9 @@ class OpenLLM(LLM):
     """Keyword arguments to be passed to openllm.LLM"""
 
     _runner: Optional[openllm.LLMRunner] = PrivateAttr(default=None)
-    _client: Union[
-        openllm.client.HTTPClient, openllm.client.GrpcClient, None
-    ] = PrivateAttr(default=None)
+    _client: Union[openllm.client.HTTPClient, openllm.client.GrpcClient, None] = (
+        PrivateAttr(default=None)
+    )
 
     class Config:
         extra = "forbid"
@@ -108,8 +108,7 @@ class OpenLLM(LLM):
         model_id: Optional[str] = ...,
         embedded: Literal[True, False] = ...,
         **llm_kwargs: Any,
-    ) -> None:
-        ...
+    ) -> None: ...
 
     @overload
     def __init__(
@@ -118,8 +117,7 @@ class OpenLLM(LLM):
         server_url: str = ...,
         server_type: Literal["grpc", "http"] = ...,
         **llm_kwargs: Any,
-    ) -> None:
-        ...
+    ) -> None: ...
 
     def __init__(
         self,

libs/community/langchain_community/llms/rwkv.py

@@ -3,6 +3,7 @@
 Based on https://github.com/saharNooby/rwkv.cpp/blob/master/rwkv/chat_with_bot.py
          https://github.com/BlinkDL/ChatRWKV/blob/main/v2/chat.py
 """
+
 from typing import Any, Dict, List, Mapping, Optional, Set
 
 from langchain_core.callbacks import CallbackManagerForLLMRun

libs/community/langchain_community/llms/sagemaker_endpoint.py

@@ -1,4 +1,5 @@
 """Sagemaker InvokeEndpoint API."""
+
 import io
 import json
 from abc import abstractmethod

libs/community/langchain_community/llms/together.py

@@ -1,4 +1,5 @@
 """Wrapper around Together AI's Completion API."""
+
 import logging
 from typing import Any, Dict, List, Optional
 

libs/community/langchain_community/llms/utils.py

@@ -1,4 +1,5 @@
 """Common utility functions for LLM APIs."""
+
 import re
 from typing import List
 

libs/community/langchain_community/llms/vertexai.py

@@ -35,7 +35,6 @@ if TYPE_CHECKING:
 # This is for backwards compatibility
 # We can remove after `langchain` stops importing it
 _response_to_generation = None
-completion_with_retry = None
 stream_completion_with_retry = None
 
 

libs/community/langchain_community/llms/yandex.py

@@ -104,9 +104,9 @@ class _BaseYandexGPT(Serializable):
         if values["model_uri"] == "" and values["folder_id"] == "":
             raise ValueError("Either 'model_uri' or 'folder_id' must be provided.")
         if not values["model_uri"]:
-            values[
-                "model_uri"
-            ] = f"gpt://{values['folder_id']}/{values['model_name']}/{values['model_version']}"
+            values["model_uri"] = (
+                f"gpt://{values['folder_id']}/{values['model_name']}/{values['model_version']}"
+            )
         if values["disable_request_logging"]:
             values["_grpc_metadata"].append(
                 (