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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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@@ -38,15 +38,16 @@ from langchain_core.messages import (
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ToolMessage,
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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 (
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BaseModel,
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Field,
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SecretStr,
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)
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from langchain_core.runnables import Runnable
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from langchain_core.tools import BaseTool
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from langchain_core.utils import get_from_dict_or_env, pre_init
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from langchain_core.utils.function_calling import convert_to_openai_tool
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from pydantic import (
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BaseModel,
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ConfigDict,
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Field,
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SecretStr,
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)
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if TYPE_CHECKING:
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from premai.api.chat_completions.v1_chat_completions_create import (
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@@ -304,12 +305,13 @@ class ChatPremAI(BaseChatModel, BaseModel):
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streaming: Optional[bool] = False
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"""Whether to stream the responses or not."""
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client: Any
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client: Any = None
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class Config:
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allow_population_by_field_name = True
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arbitrary_types_allowed = True
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extra = "forbid"
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model_config = ConfigDict(
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populate_by_name=True,
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arbitrary_types_allowed=True,
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extra="forbid",
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)
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@pre_init
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def validate_environments(cls, values: Dict) -> Dict:
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