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/autonomous_agents/__init__.py

@@ -10,6 +10,7 @@ task creation, execution chains, and response generation.
 They differ from ordinary agents by their autonomous decision-making capabilities,
 memory handling, and specialized functionalities for tasks and response.
 """
+
 from langchain_experimental.autonomous_agents.autogpt.agent import AutoGPT
 from langchain_experimental.autonomous_agents.baby_agi.baby_agi import BabyAGI
 from langchain_experimental.autonomous_agents.hugginggpt.hugginggpt import HuggingGPT

libs/experimental/langchain_experimental/autonomous_agents/autogpt/agent.py

@@ -59,7 +59,7 @@ class AutoGPT:
         output_parser: Optional[BaseAutoGPTOutputParser] = None,
         chat_history_memory: Optional[BaseChatMessageHistory] = None,
     ) -> AutoGPT:
-        prompt = AutoGPTPrompt(
+        prompt = AutoGPTPrompt(  # type: ignore[call-arg, call-arg, call-arg, call-arg]
             ai_name=ai_name,
             ai_role=ai_role,
             tools=tools,

libs/experimental/langchain_experimental/autonomous_agents/baby_agi/baby_agi.py

@@ -215,7 +215,7 @@ class BabyAGI(Chain, BaseModel):  # type: ignore[misc]
             execution_chain: Chain = TaskExecutionChain.from_llm(llm, verbose=verbose)
         else:
             execution_chain = task_execution_chain
-        return cls(
+        return cls(  # type: ignore[call-arg, call-arg, call-arg, call-arg]
             task_creation_chain=task_creation_chain,
             task_prioritization_chain=task_prioritization_chain,
             execution_chain=execution_chain,