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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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@@ -19,11 +19,11 @@ from langchain_core.messages import (
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HumanMessageChunk,
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)
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from langchain_core.outputs import ChatGeneration, ChatGenerationChunk, ChatResult
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from langchain_core.pydantic_v1 import Field, SecretStr, root_validator
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from langchain_core.utils import (
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convert_to_secret_str,
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get_from_dict_or_env,
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)
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from pydantic import ConfigDict, Field, SecretStr, model_validator
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logger = logging.getLogger(__name__)
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@@ -111,11 +111,13 @@ class ChatCoze(BaseChatModel):
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"Streaming response" will provide real-time response of the model to the client, and
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the client needs to assemble the final reply based on the type of message. """
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class Config:
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allow_population_by_field_name = True
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model_config = ConfigDict(
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populate_by_name=True,
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)
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@root_validator(pre=True)
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def validate_environment(cls, values: Dict) -> Dict:
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@model_validator(mode="before")
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@classmethod
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def validate_environment(cls, values: Dict) -> Any:
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values["coze_api_base"] = get_from_dict_or_env(
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values,
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"coze_api_base",
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