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/tests/integration_tests/llms/test_xinference.py

@@ -0,0 +1,57 @@
+"""Test Xinference wrapper."""
+import time
+from typing import AsyncGenerator, Tuple
+
+import pytest_asyncio
+
+from langchain_community.llms import Xinference
+
+
+@pytest_asyncio.fixture
+async def setup() -> AsyncGenerator[Tuple[str, str], None]:
+    import xoscar as xo
+    from xinference.deploy.supervisor import start_supervisor_components
+    from xinference.deploy.utils import create_worker_actor_pool
+    from xinference.deploy.worker import start_worker_components
+
+    pool = await create_worker_actor_pool(
+        f"test://127.0.0.1:{xo.utils.get_next_port()}"
+    )
+    print(f"Pool running on localhost:{pool.external_address}")
+
+    endpoint = await start_supervisor_components(
+        pool.external_address, "127.0.0.1", xo.utils.get_next_port()
+    )
+    await start_worker_components(
+        address=pool.external_address, supervisor_address=pool.external_address
+    )
+
+    # wait for the api.
+    time.sleep(3)
+    async with pool:
+        yield endpoint, pool.external_address
+
+
+def test_xinference_llm_(setup: Tuple[str, str]) -> None:
+    from xinference.client import RESTfulClient
+
+    endpoint, _ = setup
+
+    client = RESTfulClient(endpoint)
+
+    model_uid = client.launch_model(
+        model_name="vicuna-v1.3", model_size_in_billions=7, quantization="q4_0"
+    )
+
+    llm = Xinference(server_url=endpoint, model_uid=model_uid)
+
+    answer = llm(prompt="Q: What food can we try in the capital of France? A:")
+
+    assert isinstance(answer, str)
+
+    answer = llm(
+        prompt="Q: where can we visit in the capital of France? A:",
+        generate_config={"max_tokens": 1024, "stream": True},
+    )
+
+    assert isinstance(answer, str)