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/image_objectdetection.py

@@ -0,0 +1,76 @@
+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 EdenAiObjectDetectionTool(EdenaiTool):
+    """Tool that queries the Eden AI Object detection API.
+
+    for api reference check edenai documentation:
+    https://docs.edenai.co/reference/image_object_detection_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_object_detection"
+
+    description = (
+        "A wrapper around edenai Services Object Detection . "
+        """Useful for when you have to do an  to identify and locate
+        (with bounding boxes) objects in an image """
+        "Input should be the string url of the image to identify."
+    )
+
+    show_positions: bool = False
+
+    feature = "image"
+    subfeature = "object_detection"
+
+    def _parse_json(self, json_data: dict) -> str:
+        result = []
+        label_info = []
+
+        for found_obj in json_data["items"]:
+            label_str = f"{found_obj['label']} - Confidence {found_obj['confidence']}"
+            x_min = found_obj.get("x_min")
+            x_max = found_obj.get("x_max")
+            y_min = found_obj.get("y_min")
+            y_max = found_obj.get("y_max")
+            if self.show_positions and all(
+                [x_min, x_max, y_min, y_max]
+            ):  # some providers don't return positions
+                label_str += f""",at the position x_min: {x_min}, x_max: {x_max}, 
+                y_min: {y_min}, y_max: {y_max}"""
+            label_info.append(label_str)
+
+        result.append("\n".join(label_info))
+        return "\n\n".join(result)
+
+    def _parse_response(self, response: list) -> str:
+        if len(response) == 1:
+            result = self._parse_json(response[0])
+        else:
+            for entry in response:
+                if entry.get("provider") == "eden-ai":
+                    result = self._parse_json(entry)
+
+        return result
+
+    def _run(
+        self,
+        query: str,
+        run_manager: Optional[CallbackManagerForToolRun] = None,
+    ) -> str:
+        """Use the tool."""
+        query_params = {"file_url": query, "attributes_as_list": False}
+        return self._call_eden_ai(query_params)