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/adapters/test_openai.py

@@ -0,0 +1,109 @@
+from typing import Any
+
+from langchain_community.adapters import openai as lcopenai
+
+
+def _test_no_stream(**kwargs: Any) -> None:
+    import openai
+
+    result = openai.ChatCompletion.create(**kwargs)
+    lc_result = lcopenai.ChatCompletion.create(**kwargs)
+    if isinstance(lc_result, dict):
+        if isinstance(result, dict):
+            result_dict = result["choices"][0]["message"].to_dict_recursive()
+            lc_result_dict = lc_result["choices"][0]["message"]
+            assert result_dict == lc_result_dict
+    return
+
+
+def _test_stream(**kwargs: Any) -> None:
+    import openai
+
+    result = []
+    for c in openai.ChatCompletion.create(**kwargs):
+        result.append(c["choices"][0]["delta"].to_dict_recursive())
+
+    lc_result = []
+    for c in lcopenai.ChatCompletion.create(**kwargs):
+        lc_result.append(c["choices"][0]["delta"])
+    assert result == lc_result
+
+
+async def _test_async(**kwargs: Any) -> None:
+    import openai
+
+    result = await openai.ChatCompletion.acreate(**kwargs)
+    lc_result = await lcopenai.ChatCompletion.acreate(**kwargs)
+    if isinstance(lc_result, dict):
+        if isinstance(result, dict):
+            result_dict = result["choices"][0]["message"].to_dict_recursive()
+            lc_result_dict = lc_result["choices"][0]["message"]
+            assert result_dict == lc_result_dict
+    return
+
+
+async def _test_astream(**kwargs: Any) -> None:
+    import openai
+
+    result = []
+    async for c in await openai.ChatCompletion.acreate(**kwargs):
+        result.append(c["choices"][0]["delta"].to_dict_recursive())
+
+    lc_result = []
+    async for c in await lcopenai.ChatCompletion.acreate(**kwargs):
+        lc_result.append(c["choices"][0]["delta"])
+    assert result == lc_result
+
+
+FUNCTIONS = [
+    {
+        "name": "get_current_weather",
+        "description": "Get the current weather in a given location",
+        "parameters": {
+            "type": "object",
+            "properties": {
+                "location": {
+                    "type": "string",
+                    "description": "The city and state, e.g. San Francisco, CA",
+                },
+                "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
+            },
+            "required": ["location"],
+        },
+    }
+]
+
+
+async def _test_module(**kwargs: Any) -> None:
+    _test_no_stream(**kwargs)
+    await _test_async(**kwargs)
+    _test_stream(stream=True, **kwargs)
+    await _test_astream(stream=True, **kwargs)
+
+
+async def test_normal_call() -> None:
+    await _test_module(
+        messages=[{"role": "user", "content": "hi"}],
+        model="gpt-3.5-turbo",
+        temperature=0,
+    )
+
+
+async def test_function_calling() -> None:
+    await _test_module(
+        messages=[{"role": "user", "content": "whats the weather in boston"}],
+        model="gpt-3.5-turbo",
+        functions=FUNCTIONS,
+        temperature=0,
+    )
+
+
+async def test_answer_with_function_calling() -> None:
+    await _test_module(
+        messages=[
+            {"role": "user", "content": "say hi, then whats the weather in boston"}
+        ],
+        model="gpt-3.5-turbo",
+        functions=FUNCTIONS,
+        temperature=0,
+    )