community[major], core[patch], langchain[patch], experimental[patch]: Create langchain-community (#14463)

Moved the following modules to new package langchain-community in a backwards compatible fashion:

```
mv langchain/langchain/adapters community/langchain_community
mv langchain/langchain/callbacks community/langchain_community/callbacks
mv langchain/langchain/chat_loaders community/langchain_community
mv langchain/langchain/chat_models community/langchain_community
mv langchain/langchain/document_loaders community/langchain_community
mv langchain/langchain/docstore community/langchain_community
mv langchain/langchain/document_transformers community/langchain_community
mv langchain/langchain/embeddings community/langchain_community
mv langchain/langchain/graphs community/langchain_community
mv langchain/langchain/llms community/langchain_community
mv langchain/langchain/memory/chat_message_histories community/langchain_community
mv langchain/langchain/retrievers community/langchain_community
mv langchain/langchain/storage community/langchain_community
mv langchain/langchain/tools community/langchain_community
mv langchain/langchain/utilities community/langchain_community
mv langchain/langchain/vectorstores community/langchain_community
mv langchain/langchain/agents/agent_toolkits community/langchain_community
mv langchain/langchain/cache.py community/langchain_community
mv langchain/langchain/adapters community/langchain_community
mv langchain/langchain/callbacks community/langchain_community/callbacks
mv langchain/langchain/chat_loaders community/langchain_community
mv langchain/langchain/chat_models community/langchain_community
mv langchain/langchain/document_loaders community/langchain_community
mv langchain/langchain/docstore community/langchain_community
mv langchain/langchain/document_transformers community/langchain_community
mv langchain/langchain/embeddings community/langchain_community
mv langchain/langchain/graphs community/langchain_community
mv langchain/langchain/llms community/langchain_community
mv langchain/langchain/memory/chat_message_histories community/langchain_community
mv langchain/langchain/retrievers community/langchain_community
mv langchain/langchain/storage community/langchain_community
mv langchain/langchain/tools community/langchain_community
mv langchain/langchain/utilities community/langchain_community
mv langchain/langchain/vectorstores community/langchain_community
mv langchain/langchain/agents/agent_toolkits community/langchain_community
mv langchain/langchain/cache.py community/langchain_community
```

Moved the following to core
```
mv langchain/langchain/utils/json_schema.py core/langchain_core/utils
mv langchain/langchain/utils/html.py core/langchain_core/utils
mv langchain/langchain/utils/strings.py core/langchain_core/utils
cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py
rm langchain/langchain/utils/env.py
```

See .scripts/community_split/script_integrations.sh for all changes

libs/community/langchain_community/tools/shell/__init__.py

@@ -0,0 +1,5 @@
+"""Shell tool."""
+
+from langchain_community.tools.shell.tool import ShellTool
+
+__all__ = ["ShellTool"]

libs/community/langchain_community/tools/shell/tool.py

@@ -0,0 +1,89 @@
+import asyncio
+import platform
+import warnings
+from typing import Any, List, Optional, Type, Union
+
+from langchain_core.callbacks import (
+    AsyncCallbackManagerForToolRun,
+    CallbackManagerForToolRun,
+)
+from langchain_core.pydantic_v1 import BaseModel, Field, root_validator
+from langchain_core.tools import BaseTool
+
+
+class ShellInput(BaseModel):
+    """Commands for the Bash Shell tool."""
+
+    commands: Union[str, List[str]] = Field(
+        ...,
+        description="List of shell commands to run. Deserialized using json.loads",
+    )
+    """List of shell commands to run."""
+
+    @root_validator
+    def _validate_commands(cls, values: dict) -> dict:
+        """Validate commands."""
+        # TODO: Add real validators
+        commands = values.get("commands")
+        if not isinstance(commands, list):
+            values["commands"] = [commands]
+        # Warn that the bash tool is not safe
+        warnings.warn(
+            "The shell tool has no safeguards by default. Use at your own risk."
+        )
+        return values
+
+
+def _get_default_bash_process() -> Any:
+    """Get default bash process."""
+    try:
+        from langchain_experimental.llm_bash.bash import BashProcess
+    except ImportError:
+        raise ImportError(
+            "BashProcess has been moved to langchain experimental."
+            "To use this tool, install langchain-experimental "
+            "with `pip install langchain-experimental`."
+        )
+    return BashProcess(return_err_output=True)
+
+
+def _get_platform() -> str:
+    """Get platform."""
+    system = platform.system()
+    if system == "Darwin":
+        return "MacOS"
+    return system
+
+
+class ShellTool(BaseTool):
+    """Tool to run shell commands."""
+
+    process: Any = Field(default_factory=_get_default_bash_process)
+    """Bash process to run commands."""
+
+    name: str = "terminal"
+    """Name of tool."""
+
+    description: str = f"Run shell commands on this {_get_platform()} machine."
+    """Description of tool."""
+
+    args_schema: Type[BaseModel] = ShellInput
+    """Schema for input arguments."""
+
+    def _run(
+        self,
+        commands: Union[str, List[str]],
+        run_manager: Optional[CallbackManagerForToolRun] = None,
+    ) -> str:
+        """Run commands and return final output."""
+        return self.process.run(commands)
+
+    async def _arun(
+        self,
+        commands: Union[str, List[str]],
+        run_manager: Optional[AsyncCallbackManagerForToolRun] = None,
+    ) -> str:
+        """Run commands asynchronously and return final output."""
+        return await asyncio.get_event_loop().run_in_executor(
+            None, self.process.run, commands
+        )