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multiple: pydantic 2 compatibility, v0.3 (#26443)

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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>
This commit is contained in:
Erick Friis
2024-09-13 14:38:45 -07:00
committed by GitHub
parent d9813bdbbc
commit c2a3021bb0
1402 changed files with 38318 additions and 30410 deletions
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20
libs/community/langchain_community/llms/pipelineai.py
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@@ -3,14 +3,14 @@ from typing import Any, Dict, List, Mapping, Optional
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models.llms import LLM
from langchain_core.pydantic_v1 import (
from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
from pydantic import (
BaseModel,
ConfigDict,
Field,
SecretStr,
root_validator,
model_validator,
)
from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
from langchain_core.utils.pydantic import get_fields
from langchain_community.llms.utils import enforce_stop_tokens
@@ -42,13 +42,15 @@ class PipelineAI(LLM, BaseModel):
pipeline_api_key: Optional[SecretStr] = None
class Config:
extra = "forbid"
model_config = ConfigDict(
extra="forbid",
)
@root_validator(pre=True)
def build_extra(cls, values: Dict[str, Any]) -> Dict[str, Any]:
@model_validator(mode="before")
@classmethod
def build_extra(cls, values: Dict[str, Any]) -> Any:
"""Build extra kwargs from additional params that were passed in."""
all_required_field_names = {field.alias for field in get_fields(cls).values()}
all_required_field_names = set(list(cls.model_fields.keys()))
extra = values.get("pipeline_kwargs", {})
for field_name in list(values):