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core[patch]: Release 0.1.7 (#15610)

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pull/15614/head
Bagatur 6 months ago committed by GitHub
parent b257c7d0ea
commit 96b47e18e0
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GPG Key ID: 4AEE18F83AFDEB23
4 changed files with 16 additions and 15 deletions
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8
libs/core/langchain_core/language_models/base.py
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@ -150,7 +150,7 @@ class BaseLanguageModel(
prompt and additional model provider-specific output.
"""
@deprecated("0.1.0", alternative="invoke", removal="0.2.0")
@deprecated("0.1.7", alternative="invoke", removal="0.2.0")
@abstractmethod
def predict(
self, text: str, *, stop: Optional[Sequence[str]] = None, **kwargs: Any
@ -171,7 +171,7 @@ class BaseLanguageModel(
Top model prediction as a string.
"""
@deprecated("0.1.0", alternative="invoke", removal="0.2.0")
@deprecated("0.1.7", alternative="invoke", removal="0.2.0")
@abstractmethod
def predict_messages(
self,
@ -196,7 +196,7 @@ class BaseLanguageModel(
Top model prediction as a message.
"""
@deprecated("0.1.0", alternative="ainvoke", removal="0.2.0")
@deprecated("0.1.7", alternative="ainvoke", removal="0.2.0")
@abstractmethod
async def apredict(
self, text: str, *, stop: Optional[Sequence[str]] = None, **kwargs: Any
@ -217,7 +217,7 @@ class BaseLanguageModel(
Top model prediction as a string.
"""
@deprecated("0.1.0", alternative="ainvoke", removal="0.2.0")
@deprecated("0.1.7", alternative="ainvoke", removal="0.2.0")
@abstractmethod
async def apredict_messages(
self,

12
libs/core/langchain_core/language_models/chat_models.py
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@ -679,7 +679,7 @@ class BaseChatModel(BaseLanguageModel[BaseMessage], ABC):
) -> AsyncIterator[ChatGenerationChunk]:
raise NotImplementedError()
@deprecated("0.1.0", alternative="invoke", removal="0.2.0")
@deprecated("0.1.7", alternative="invoke", removal="0.2.0")
def __call__(
self,
messages: List[BaseMessage],
@ -711,13 +711,13 @@ class BaseChatModel(BaseLanguageModel[BaseMessage], ABC):
else:
raise ValueError("Unexpected generation type")
@deprecated("0.1.0", alternative="invoke", removal="0.2.0")
@deprecated("0.1.7", alternative="invoke", removal="0.2.0")
def call_as_llm(
self, message: str, stop: Optional[List[str]] = None, **kwargs: Any
) -> str:
return self.predict(message, stop=stop, **kwargs)
@deprecated("0.1.0", alternative="invoke", removal="0.2.0")
@deprecated("0.1.7", alternative="invoke", removal="0.2.0")
def predict(
self, text: str, *, stop: Optional[Sequence[str]] = None, **kwargs: Any
) -> str:
@ -731,7 +731,7 @@ class BaseChatModel(BaseLanguageModel[BaseMessage], ABC):
else:
raise ValueError("Cannot use predict when output is not a string.")
@deprecated("0.1.0", alternative="invoke", removal="0.2.0")
@deprecated("0.1.7", alternative="invoke", removal="0.2.0")
def predict_messages(
self,
messages: List[BaseMessage],
@ -745,7 +745,7 @@ class BaseChatModel(BaseLanguageModel[BaseMessage], ABC):
_stop = list(stop)
return self(messages, stop=_stop, **kwargs)
@deprecated("0.1.0", alternative="ainvoke", removal="0.2.0")
@deprecated("0.1.7", alternative="ainvoke", removal="0.2.0")
async def apredict(
self, text: str, *, stop: Optional[Sequence[str]] = None, **kwargs: Any
) -> str:
@ -761,7 +761,7 @@ class BaseChatModel(BaseLanguageModel[BaseMessage], ABC):
else:
raise ValueError("Cannot use predict when output is not a string.")
@deprecated("0.1.0", alternative="ainvoke", removal="0.2.0")
@deprecated("0.1.7", alternative="ainvoke", removal="0.2.0")
async def apredict_messages(
self,
messages: List[BaseMessage],

9
libs/core/langchain_core/language_models/llms.py
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@ -926,6 +926,7 @@ class BaseLLM(BaseLanguageModel[str], ABC):
generations = [existing_prompts[i] for i in range(len(prompts))]
return LLMResult(generations=generations, llm_output=llm_output, run=run_info)
@deprecated("0.1.7", alternative="invoke", removal="0.2.0")
def __call__(
self,
prompt: str,
@ -977,7 +978,7 @@ class BaseLLM(BaseLanguageModel[str], ABC):
)
return result.generations[0][0].text
@deprecated("0.1.0", alternative="invoke", removal="0.2.0")
@deprecated("0.1.7", alternative="invoke", removal="0.2.0")
def predict(
self, text: str, *, stop: Optional[Sequence[str]] = None, **kwargs: Any
) -> str:
@ -987,7 +988,7 @@ class BaseLLM(BaseLanguageModel[str], ABC):
_stop = list(stop)
return self(text, stop=_stop, **kwargs)
@deprecated("0.1.0", alternative="invoke", removal="0.2.0")
@deprecated("0.1.7", alternative="invoke", removal="0.2.0")
def predict_messages(
self,
messages: List[BaseMessage],
@ -1003,7 +1004,7 @@ class BaseLLM(BaseLanguageModel[str], ABC):
content = self(text, stop=_stop, **kwargs)
return AIMessage(content=content)
@deprecated("0.1.0", alternative="ainvoke", removal="0.2.0")
@deprecated("0.1.7", alternative="ainvoke", removal="0.2.0")
async def apredict(
self, text: str, *, stop: Optional[Sequence[str]] = None, **kwargs: Any
) -> str:
@ -1013,7 +1014,7 @@ class BaseLLM(BaseLanguageModel[str], ABC):
_stop = list(stop)
return await self._call_async(text, stop=_stop, **kwargs)
@deprecated("0.1.0", alternative="ainvoke", removal="0.2.0")
@deprecated("0.1.7", alternative="ainvoke", removal="0.2.0")
async def apredict_messages(
self,
messages: List[BaseMessage],

2
libs/core/pyproject.toml
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@ -1,6 +1,6 @@
[tool.poetry]
name = "langchain-core"
version = "0.1.6"
version = "0.1.7"
description = "Building applications with LLMs through composability"
authors = []
license = "MIT"

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