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/edenai/text_moderation.py

@@ -0,0 +1,73 @@
+from __future__ import annotations
+
+import logging
+from typing import Optional
+
+from langchain_core.callbacks import CallbackManagerForToolRun
+
+from langchain_community.tools.edenai.edenai_base_tool import EdenaiTool
+
+logger = logging.getLogger(__name__)
+
+
+class EdenAiTextModerationTool(EdenaiTool):
+    """Tool that queries the Eden AI Explicit text detection.
+
+    for api reference check edenai documentation:
+    https://docs.edenai.co/reference/image_explicit_content_create.
+
+    To use, you should have
+    the environment variable ``EDENAI_API_KEY`` set with your API token.
+    You can find your token here: https://app.edenai.run/admin/account/settings
+
+    """
+
+    name = "edenai_explicit_content_detection_text"
+
+    description = (
+        "A wrapper around edenai Services explicit content detection for text. "
+        """Useful for when you have to scan text for offensive, 
+        sexually explicit or suggestive content,
+        it checks also if there is any content of self-harm,
+        violence, racist or hate speech."""
+        """the structure of the output is : 
+        'the type of the explicit content : the likelihood of it being explicit'
+        the likelihood is a number 
+        between 1 and 5, 1 being the lowest and 5 the highest.
+        something is explicit if the likelihood is equal or higher than 3.
+        for example : 
+        nsfw_likelihood: 1
+        this is not explicit.
+        for example : 
+        nsfw_likelihood: 3
+        this is explicit.
+        """
+        "Input should be a string."
+    )
+
+    language: str
+
+    feature: str = "text"
+    subfeature: str = "moderation"
+
+    def _parse_response(self, response: list) -> str:
+        formatted_result = []
+        for result in response:
+            if "nsfw_likelihood" in result.keys():
+                formatted_result.append(
+                    "nsfw_likelihood: " + str(result["nsfw_likelihood"])
+                )
+
+            for label, likelihood in zip(result["label"], result["likelihood"]):
+                formatted_result.append(f'"{label}": {str(likelihood)}')
+
+        return "\n".join(formatted_result)
+
+    def _run(
+        self,
+        query: str,
+        run_manager: Optional[CallbackManagerForToolRun] = None,
+    ) -> str:
+        """Use the tool."""
+        query_params = {"text": query, "language": self.language}
+        return self._call_eden_ai(query_params)