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multiple: pydantic 2 compatibility, v0.3 (#26443)
Signed-off-by: ChengZi <chen.zhang@zilliz.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Dan O'Donovan <dan.odonovan@gmail.com> Co-authored-by: Tom Daniel Grande <tomdgrande@gmail.com> Co-authored-by: Grande <Tom.Daniel.Grande@statsbygg.no> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: ccurme <chester.curme@gmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Tomaz Bratanic <bratanic.tomaz@gmail.com> Co-authored-by: ZhangShenao <15201440436@163.com> Co-authored-by: Friso H. Kingma <fhkingma@gmail.com> Co-authored-by: ChengZi <chen.zhang@zilliz.com> Co-authored-by: Nuno Campos <nuno@langchain.dev> Co-authored-by: Morgante Pell <morgantep@google.com>
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@@ -25,7 +25,8 @@ from langchain_core.outputs import (
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ChatResult,
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LLMResult,
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)
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from langchain_core.pydantic_v1 import root_validator
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from pydantic import model_validator
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from typing_extensions import Self
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from langchain_community.llms.huggingface_endpoint import HuggingFaceEndpoint
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from langchain_community.llms.huggingface_hub import HuggingFaceHub
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@@ -76,17 +77,17 @@ class ChatHuggingFace(BaseChatModel):
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else self.tokenizer
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)
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@root_validator(pre=False, skip_on_failure=True)
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def validate_llm(cls, values: dict) -> dict:
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@model_validator(mode="after")
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def validate_llm(self) -> Self:
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if not isinstance(
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values["llm"],
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self.llm,
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(HuggingFaceTextGenInference, HuggingFaceEndpoint, HuggingFaceHub),
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):
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raise TypeError(
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"Expected llm to be one of HuggingFaceTextGenInference, "
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f"HuggingFaceEndpoint, HuggingFaceHub, received {type(values['llm'])}"
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f"HuggingFaceEndpoint, HuggingFaceHub, received {type(self.llm)}"
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)
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return values
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return self
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def _stream(
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self,
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