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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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@@ -5,6 +5,7 @@ from typing import Any, Callable, List, Mapping, Optional
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from langchain_core.callbacks import CallbackManagerForLLMRun
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from langchain_core.language_models.llms import LLM
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from pydantic import ConfigDict
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from langchain_community.llms.utils import enforce_stop_tokens
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@@ -125,11 +126,11 @@ class SelfHostedPipeline(LLM):
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)
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"""
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pipeline_ref: Any #: :meta private:
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client: Any #: :meta private:
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pipeline_ref: Any = None #: :meta private:
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client: Any = None #: :meta private:
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inference_fn: Callable = _generate_text #: :meta private:
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"""Inference function to send to the remote hardware."""
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hardware: Any
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hardware: Any = None
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"""Remote hardware to send the inference function to."""
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model_load_fn: Callable
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"""Function to load the model remotely on the server."""
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@@ -143,8 +144,9 @@ class SelfHostedPipeline(LLM):
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loading compromised data.
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"""
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class Config:
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extra = "forbid"
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model_config = ConfigDict(
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extra="forbid",
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)
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def __init__(self, **kwargs: Any):
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"""Init the pipeline with an auxiliary function.
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