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_edenai.py

@@ -0,0 +1,46 @@
+"""Test EdenAi API wrapper.
+
+In order to run this test, you need to have an EdenAI api key.
+You can get it by registering for free at https://app.edenai.run/user/register.
+A test key can be found at https://app.edenai.run/admin/account/settings by
+clicking on the 'sandbox' toggle.
+(calls will be free, and will return dummy results)
+
+You'll then need to set EDENAI_API_KEY environment variable to your api key.
+"""
+from langchain_community.llms import EdenAI
+
+
+def test_edenai_call() -> None:
+    """Test simple call to edenai."""
+    llm = EdenAI(provider="openai", temperature=0.2, max_tokens=250)
+    output = llm("Say foo:")
+
+    assert llm._llm_type == "edenai"
+    assert llm.feature == "text"
+    assert llm.subfeature == "generation"
+    assert isinstance(output, str)
+
+
+async def test_edenai_acall() -> None:
+    """Test simple call to edenai."""
+    llm = EdenAI(provider="openai", temperature=0.2, max_tokens=250)
+    output = await llm.agenerate(["Say foo:"])
+    assert llm._llm_type == "edenai"
+    assert llm.feature == "text"
+    assert llm.subfeature == "generation"
+    assert isinstance(output, str)
+
+
+def test_edenai_call_with_old_params() -> None:
+    """
+    Test simple call to edenai with using `params`
+    to pass optional parameters to api
+    """
+    llm = EdenAI(provider="openai", params={"temperature": 0.2, "max_tokens": 250})
+    output = llm("Say foo:")
+
+    assert llm._llm_type == "edenai"
+    assert llm.feature == "text"
+    assert llm.subfeature == "generation"
+    assert isinstance(output, str)