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/llms/writer.py

@@ -0,0 +1,159 @@
+from typing import Any, Dict, List, Mapping, Optional
+
+import requests
+from langchain_core.callbacks import CallbackManagerForLLMRun
+from langchain_core.language_models.llms import LLM
+from langchain_core.pydantic_v1 import Extra, root_validator
+from langchain_core.utils import get_from_dict_or_env
+
+from langchain_community.llms.utils import enforce_stop_tokens
+
+
+class Writer(LLM):
+    """Writer large language models.
+
+    To use, you should have the environment variable ``WRITER_API_KEY`` and
+    ``WRITER_ORG_ID`` set with your API key and organization ID respectively.
+
+    Example:
+        .. code-block:: python
+
+            from langchain_community.llms import Writer
+            writer = Writer(model_id="palmyra-base")
+    """
+
+    writer_org_id: Optional[str] = None
+    """Writer organization ID."""
+
+    model_id: str = "palmyra-instruct"
+    """Model name to use."""
+
+    min_tokens: Optional[int] = None
+    """Minimum number of tokens to generate."""
+
+    max_tokens: Optional[int] = None
+    """Maximum number of tokens to generate."""
+
+    temperature: Optional[float] = None
+    """What sampling temperature to use."""
+
+    top_p: Optional[float] = None
+    """Total probability mass of tokens to consider at each step."""
+
+    stop: Optional[List[str]] = None
+    """Sequences when completion generation will stop."""
+
+    presence_penalty: Optional[float] = None
+    """Penalizes repeated tokens regardless of frequency."""
+
+    repetition_penalty: Optional[float] = None
+    """Penalizes repeated tokens according to frequency."""
+
+    best_of: Optional[int] = None
+    """Generates this many completions server-side and returns the "best"."""
+
+    logprobs: bool = False
+    """Whether to return log probabilities."""
+
+    n: Optional[int] = None
+    """How many completions to generate."""
+
+    writer_api_key: Optional[str] = None
+    """Writer API key."""
+
+    base_url: Optional[str] = None
+    """Base url to use, if None decides based on model name."""
+
+    class Config:
+        """Configuration for this pydantic object."""
+
+        extra = Extra.forbid
+
+    @root_validator()
+    def validate_environment(cls, values: Dict) -> Dict:
+        """Validate that api key and organization id exist in environment."""
+
+        writer_api_key = get_from_dict_or_env(
+            values, "writer_api_key", "WRITER_API_KEY"
+        )
+        values["writer_api_key"] = writer_api_key
+
+        writer_org_id = get_from_dict_or_env(values, "writer_org_id", "WRITER_ORG_ID")
+        values["writer_org_id"] = writer_org_id
+
+        return values
+
+    @property
+    def _default_params(self) -> Mapping[str, Any]:
+        """Get the default parameters for calling Writer API."""
+        return {
+            "minTokens": self.min_tokens,
+            "maxTokens": self.max_tokens,
+            "temperature": self.temperature,
+            "topP": self.top_p,
+            "stop": self.stop,
+            "presencePenalty": self.presence_penalty,
+            "repetitionPenalty": self.repetition_penalty,
+            "bestOf": self.best_of,
+            "logprobs": self.logprobs,
+            "n": self.n,
+        }
+
+    @property
+    def _identifying_params(self) -> Mapping[str, Any]:
+        """Get the identifying parameters."""
+        return {
+            **{"model_id": self.model_id, "writer_org_id": self.writer_org_id},
+            **self._default_params,
+        }
+
+    @property
+    def _llm_type(self) -> str:
+        """Return type of llm."""
+        return "writer"
+
+    def _call(
+        self,
+        prompt: str,
+        stop: Optional[List[str]] = None,
+        run_manager: Optional[CallbackManagerForLLMRun] = None,
+        **kwargs: Any,
+    ) -> str:
+        """Call out to Writer's completions endpoint.
+
+        Args:
+            prompt: The prompt to pass into the model.
+            stop: Optional list of stop words to use when generating.
+
+        Returns:
+            The string generated by the model.
+
+        Example:
+            .. code-block:: python
+
+                response = Writer("Tell me a joke.")
+        """
+        if self.base_url is not None:
+            base_url = self.base_url
+        else:
+            base_url = (
+                "https://enterprise-api.writer.com/llm"
+                f"/organization/{self.writer_org_id}"
+                f"/model/{self.model_id}/completions"
+            )
+        params = {**self._default_params, **kwargs}
+        response = requests.post(
+            url=base_url,
+            headers={
+                "Authorization": f"{self.writer_api_key}",
+                "Content-Type": "application/json",
+                "Accept": "application/json",
+            },
+            json={"prompt": prompt, **params},
+        )
+        text = response.text
+        if stop is not None:
+            # I believe this is required since the stop tokens
+            # are not enforced by the model parameters
+            text = enforce_stop_tokens(text, stop)
+        return text