release: v1.0.0 (#32567)

Co-authored-by: Mohammad Mohtashim <45242107+keenborder786@users.noreply.github.com>
Co-authored-by: Caspar Broekhuizen <caspar@langchain.dev>
Co-authored-by: ccurme <chester.curme@gmail.com>
Co-authored-by: Christophe Bornet <cbornet@hotmail.com>
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
Co-authored-by: Sadra Barikbin <sadraqazvin1@yahoo.com>
Co-authored-by: Vadym Barda <vadim.barda@gmail.com>

libs/partners/huggingface/langchain_huggingface/chat_models/huggingface.py

@@ -4,10 +4,10 @@ from __future__ import annotations
 
 import contextlib
 import json
-from collections.abc import AsyncIterator, Iterator, Mapping, Sequence
+from collections.abc import AsyncIterator, Callable, Iterator, Mapping, Sequence
 from dataclasses import dataclass
 from operator import itemgetter
-from typing import Any, Callable, Literal, Optional, Union, cast
+from typing import Any, Literal, Optional, Union, cast
 
 from langchain_core.callbacks.manager import (
     AsyncCallbackManagerForLLMRun,
@@ -815,7 +815,7 @@ class ChatHuggingFace(BaseChatModel):
             Union[dict, str, Literal["auto", "none", "required"], bool]  # noqa: PYI051
         ] = None,
         **kwargs: Any,
-    ) -> Runnable[LanguageModelInput, BaseMessage]:
+    ) -> Runnable[LanguageModelInput, AIMessage]:
         """Bind tool-like objects to this chat model.
 
         Assumes model is compatible with OpenAI tool-calling API.

libs/partners/huggingface/langchain_huggingface/llms/huggingface_pipeline.py

@@ -271,7 +271,7 @@ class HuggingFacePipeline(BaseLLM):
                 k: v for k, v in _model_kwargs.items() if k != "trust_remote_code"
             }
         _pipeline_kwargs = pipeline_kwargs or {}
-        pipeline = hf_pipeline(
+        pipeline = hf_pipeline(  # type: ignore[call-overload]
             task=task,
             model=model,
             tokenizer=tokenizer,