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/plugin.py

@@ -0,0 +1,110 @@
+from __future__ import annotations
+
+import json
+from typing import Optional, Type
+
+import requests
+import yaml
+from langchain_core.callbacks import (
+    AsyncCallbackManagerForToolRun,
+    CallbackManagerForToolRun,
+)
+from langchain_core.pydantic_v1 import BaseModel
+from langchain_core.tools import BaseTool
+
+
+class ApiConfig(BaseModel):
+    """API Configuration."""
+
+    type: str
+    url: str
+    has_user_authentication: Optional[bool] = False
+
+
+class AIPlugin(BaseModel):
+    """AI Plugin Definition."""
+
+    schema_version: str
+    name_for_model: str
+    name_for_human: str
+    description_for_model: str
+    description_for_human: str
+    auth: Optional[dict] = None
+    api: ApiConfig
+    logo_url: Optional[str]
+    contact_email: Optional[str]
+    legal_info_url: Optional[str]
+
+    @classmethod
+    def from_url(cls, url: str) -> AIPlugin:
+        """Instantiate AIPlugin from a URL."""
+        response = requests.get(url).json()
+        return cls(**response)
+
+
+def marshal_spec(txt: str) -> dict:
+    """Convert the yaml or json serialized spec to a dict.
+
+    Args:
+        txt: The yaml or json serialized spec.
+
+    Returns:
+        dict: The spec as a dict.
+    """
+    try:
+        return json.loads(txt)
+    except json.JSONDecodeError:
+        return yaml.safe_load(txt)
+
+
+class AIPluginToolSchema(BaseModel):
+    """Schema for AIPluginTool."""
+
+    tool_input: Optional[str] = ""
+
+
+class AIPluginTool(BaseTool):
+    """Tool for getting the OpenAPI spec for an AI Plugin."""
+
+    plugin: AIPlugin
+    api_spec: str
+    args_schema: Type[AIPluginToolSchema] = AIPluginToolSchema
+
+    @classmethod
+    def from_plugin_url(cls, url: str) -> AIPluginTool:
+        plugin = AIPlugin.from_url(url)
+        description = (
+            f"Call this tool to get the OpenAPI spec (and usage guide) "
+            f"for interacting with the {plugin.name_for_human} API. "
+            f"You should only call this ONCE! What is the "
+            f"{plugin.name_for_human} API useful for? "
+        ) + plugin.description_for_human
+        open_api_spec_str = requests.get(plugin.api.url).text
+        open_api_spec = marshal_spec(open_api_spec_str)
+        api_spec = (
+            f"Usage Guide: {plugin.description_for_model}\n\n"
+            f"OpenAPI Spec: {open_api_spec}"
+        )
+
+        return cls(
+            name=plugin.name_for_model,
+            description=description,
+            plugin=plugin,
+            api_spec=api_spec,
+        )
+
+    def _run(
+        self,
+        tool_input: Optional[str] = "",
+        run_manager: Optional[CallbackManagerForToolRun] = None,
+    ) -> str:
+        """Use the tool."""
+        return self.api_spec
+
+    async def _arun(
+        self,
+        tool_input: Optional[str] = None,
+        run_manager: Optional[AsyncCallbackManagerForToolRun] = None,
+    ) -> str:
+        """Use the tool asynchronously."""
+        return self.api_spec