docs, community[patch], experimental[patch], langchain[patch], cli[pa… (#15412)

…tch]: import models from community

ran
```bash
git grep -l 'from langchain\.chat_models' | xargs -L 1 sed -i '' "s/from\ langchain\.chat_models/from\ langchain_community.chat_models/g"
git grep -l 'from langchain\.llms' | xargs -L 1 sed -i '' "s/from\ langchain\.llms/from\ langchain_community.llms/g"
git grep -l 'from langchain\.embeddings' | xargs -L 1 sed -i '' "s/from\ langchain\.embeddings/from\ langchain_community.embeddings/g"
git checkout master libs/langchain/tests/unit_tests/llms
git checkout master libs/langchain/tests/unit_tests/chat_models
git checkout master libs/langchain/tests/unit_tests/embeddings/test_imports.py
make format
cd libs/langchain; make format
cd ../experimental; make format
cd ../core; make format
```

libs/experimental/langchain_experimental/llms/anthropic_functions.py

@@ -6,12 +6,12 @@ from typing import Any, DefaultDict, Dict, List, Optional, cast
 from langchain.callbacks.manager import (
     CallbackManagerForLLMRun,
 )
-from langchain.chat_models.anthropic import ChatAnthropic
-from langchain.chat_models.base import BaseChatModel
 from langchain.schema import (
     ChatGeneration,
     ChatResult,
 )
+from langchain_community.chat_models.anthropic import ChatAnthropic
+from langchain_core.language_models import BaseChatModel
 from langchain_core.messages import (
     AIMessage,
     BaseMessage,

libs/experimental/langchain_experimental/llms/jsonformer_decoder.py

@@ -5,7 +5,7 @@ import json
 from typing import TYPE_CHECKING, Any, List, Optional, cast
 
 from langchain.callbacks.manager import CallbackManagerForLLMRun
-from langchain.llms.huggingface_pipeline import HuggingFacePipeline
+from langchain_community.llms.huggingface_pipeline import HuggingFacePipeline
 
 from langchain_experimental.pydantic_v1 import Field, root_validator
 

libs/experimental/langchain_experimental/llms/llamaapi.py

@@ -10,11 +10,11 @@ from typing import (
 )
 
 from langchain.callbacks.manager import CallbackManagerForLLMRun
-from langchain.chat_models.base import BaseChatModel
 from langchain.schema import (
     ChatGeneration,
     ChatResult,
 )
+from langchain_core.language_models import BaseChatModel
 from langchain_core.messages import (
     AIMessage,
     BaseMessage,

libs/experimental/langchain_experimental/llms/lmformatenforcer_decoder.py

@@ -4,8 +4,8 @@ from __future__ import annotations
 from typing import TYPE_CHECKING, Any, List, Optional
 
 from langchain.callbacks.manager import CallbackManagerForLLMRun
-from langchain.llms.huggingface_pipeline import HuggingFacePipeline
 from langchain.schema import LLMResult
+from langchain_community.llms.huggingface_pipeline import HuggingFacePipeline
 
 from langchain_experimental.pydantic_v1 import Field
 

libs/experimental/langchain_experimental/llms/ollama_functions.py

@@ -1,7 +1,7 @@
 import json
 from typing import Any, Dict, List, Optional
 
-from langchain.chat_models.ollama import ChatOllama
+from langchain_community.chat_models.ollama import ChatOllama
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.language_models import BaseChatModel
 from langchain_core.messages import AIMessage, BaseMessage

libs/experimental/langchain_experimental/llms/rellm_decoder.py

@@ -4,8 +4,8 @@ from __future__ import annotations
 from typing import TYPE_CHECKING, Any, List, Optional, cast
 
 from langchain.callbacks.manager import CallbackManagerForLLMRun
-from langchain.llms.huggingface_pipeline import HuggingFacePipeline
-from langchain.llms.utils import enforce_stop_tokens
+from langchain_community.llms.huggingface_pipeline import HuggingFacePipeline
+from langchain_community.llms.utils import enforce_stop_tokens
 
 from langchain_experimental.pydantic_v1 import Field, root_validator