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This commit is contained in:
Chester Curme 2025-02-03 14:43:05 -05:00
parent d6e2af40eb
commit d9ce5f4464
5 changed files with 18 additions and 8 deletions
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8
libs/langchain/langchain/agents/openai_assistant/base.py
View File

@ -28,7 +28,7 @@ from typing_extensions import Self
if TYPE_CHECKING:
import openai
from openai.types.beta.threads import ThreadMessage
from openai.types.beta.threads import ThreadMessage # type: ignore[attr-defined]
from openai.types.beta.threads.required_action_function_tool_call import (
RequiredActionFunctionToolCall,
)
@ -590,7 +590,8 @@ class OpenAIAssistantRunnable(RunnableSerializable[Dict, OutputType]):
isinstance(content, openai.types.beta.threads.TextContentBlock)
if version_gte_1_14
else isinstance(
content, openai.types.beta.threads.MessageContentText
content,
openai.types.beta.threads.MessageContentText, # type: ignore[attr-defined]
)
)
for content in answer
@ -743,7 +744,8 @@ class OpenAIAssistantRunnable(RunnableSerializable[Dict, OutputType]):
isinstance(content, openai.types.beta.threads.TextContentBlock)
if version_gte_1_14
else isinstance(
content, openai.types.beta.threads.MessageContentText
content,
openai.types.beta.threads.MessageContentText, # type: ignore[attr-defined]
)
)
for content in answer

4
libs/langchain/langchain/chains/flare/base.py
View File

@ -236,7 +236,9 @@ class FlareChain(Chain):
"Please install langchain-openai."
"pip install langchain-openai"
)
llm = ChatOpenAI(max_tokens=max_generation_len, logprobs=True, temperature=0)
llm = ChatOpenAI(
max_completion_tokens=max_generation_len, logprobs=True, temperature=0
)
response_chain = PROMPT | llm
question_gen_chain = QUESTION_GENERATOR_PROMPT | llm | StrOutputParser()
return cls(

2
libs/langchain/langchain/chains/moderation.py
View File

@ -65,7 +65,7 @@ class OpenAIModerationChain(Chain):
except ValueError:
values["openai_pre_1_0"] = True
if values["openai_pre_1_0"]:
values["client"] = openai.Moderation
values["client"] = openai.Moderation # type: ignore[attr-defined]
else:
values["client"] = openai.OpenAI(api_key=openai_api_key)
values["async_client"] = openai.AsyncOpenAI(api_key=openai_api_key)

8
libs/langchain/langchain/evaluation/embedding_distance/base.py
View File

@ -30,7 +30,9 @@ def _embedding_factory() -> Embeddings:
from langchain_openai import OpenAIEmbeddings
except ImportError:
try:
from langchain_community.embeddings.openai import OpenAIEmbeddings
from langchain_community.embeddings.openai import ( # type: ignore[no-redef]
OpenAIEmbeddings,
)
except ImportError:
raise ImportError(
"Could not import OpenAIEmbeddings. Please install the "
@ -89,7 +91,9 @@ class _EmbeddingDistanceChainMixin(Chain):
pass
try:
from langchain_community.embeddings.openai import OpenAIEmbeddings
from langchain_community.embeddings.openai import ( # type: ignore[no-redef]
OpenAIEmbeddings,
)
types_.append(OpenAIEmbeddings)
except ImportError:

4
libs/langchain/langchain/evaluation/loading.py
View File

@ -135,7 +135,9 @@ def load_evaluator(
from langchain_openai import ChatOpenAI
except ImportError:
try:
from langchain_community.chat_models.openai import ChatOpenAI
from langchain_community.chat_models.openai import ( # type: ignore[no-redef]
ChatOpenAI,
)
except ImportError:
raise ImportError(
"Could not import langchain_openai or fallback onto "