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/experimental/langchain_experimental/agents/__init__.py

@@ -1,4 +1,4 @@
-"""**Agent** is a class that uses an LLM to choose 
+"""**Agent** is a class that uses an LLM to choose
 a sequence of actions to take.
 
 In Chains, a sequence of actions is hardcoded. In Agents,
@@ -7,6 +7,7 @@ to take and in which order.
 
 Agents select and use **Tools** and **Toolkits** for actions.
 """
+
 from langchain_experimental.agents.agent_toolkits import (
     create_csv_agent,
     create_pandas_dataframe_agent,

libs/experimental/langchain_experimental/agents/agent_toolkits/pandas/base.py

@@ -1,4 +1,5 @@
 """Agent for working with pandas objects."""
+
 import warnings
 from typing import Any, Dict, List, Literal, Optional, Sequence, Union, cast
 

libs/experimental/langchain_experimental/agents/agent_toolkits/python/base.py

@@ -37,16 +37,16 @@ def create_python_agent(
             callback_manager=callback_manager,
         )
         tool_names = [tool.name for tool in tools]
-        agent = ZeroShotAgent(llm_chain=llm_chain, allowed_tools=tool_names, **kwargs)
+        agent = ZeroShotAgent(llm_chain=llm_chain, allowed_tools=tool_names, **kwargs)  # type: ignore[arg-type]
     elif agent_type == AgentType.OPENAI_FUNCTIONS:
         system_message = SystemMessage(content=prefix)
         _prompt = OpenAIFunctionsAgent.create_prompt(system_message=system_message)
-        agent = OpenAIFunctionsAgent(
+        agent = OpenAIFunctionsAgent(  # type: ignore[call-arg]
             llm=llm,
             prompt=_prompt,
             tools=tools,
             callback_manager=callback_manager,
-            **kwargs,
+            **kwargs,  # type: ignore[arg-type]
         )
     else:
         raise ValueError(f"Agent type {agent_type} not supported at the moment.")

libs/experimental/langchain_experimental/agents/agent_toolkits/spark/base.py

@@ -1,4 +1,5 @@
 """Agent for working with pandas objects."""
+
 from typing import Any, Dict, List, Optional
 
 from langchain.agents.agent import AgentExecutor
@@ -97,7 +98,7 @@ def create_spark_dataframe_agent(
         callback_manager=callback_manager,
     )
     tool_names = [tool.name for tool in tools]
-    agent = ZeroShotAgent(
+    agent = ZeroShotAgent(  # type: ignore[call-arg]
         llm_chain=llm_chain,
         allowed_tools=tool_names,
         callback_manager=callback_manager,

libs/experimental/langchain_experimental/agents/agent_toolkits/xorbits/base.py

@@ -1,4 +1,5 @@
 """Agent for working with xorbits objects."""
+
 from typing import Any, Dict, List, Optional
 
 from langchain.agents.agent import AgentExecutor
@@ -108,11 +109,11 @@ def create_xorbits_agent(
         callback_manager=callback_manager,
     )
     tool_names = [tool.name for tool in tools]
-    agent = ZeroShotAgent(
+    agent = ZeroShotAgent(  # type: ignore[call-arg]
         llm_chain=llm_chain,
         allowed_tools=tool_names,
         callback_manager=callback_manager,
-        **kwargs,
+        **kwargs,  # type: ignore[arg-type]
     )
     return AgentExecutor.from_agent_and_tools(
         agent=agent,