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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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14
libs/community/langchain_community/llms/anthropic.py
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@@ -20,7 +20,6 @@ from langchain_core.language_models import BaseLanguageModel
from langchain_core.language_models.llms import LLM
from langchain_core.outputs import GenerationChunk
from langchain_core.prompt_values import PromptValue
from langchain_core.pydantic_v1 import Field, SecretStr, root_validator
from langchain_core.utils import (
check_package_version,
get_from_dict_or_env,
@@ -28,6 +27,7 @@ from langchain_core.utils import (
pre_init,
)
from langchain_core.utils.utils import build_extra_kwargs, convert_to_secret_str
from pydantic import ConfigDict, Field, SecretStr, model_validator
class _AnthropicCommon(BaseLanguageModel):
@@ -66,8 +66,9 @@ class _AnthropicCommon(BaseLanguageModel):
count_tokens: Optional[Callable[[str], int]] = None
model_kwargs: Dict[str, Any] = Field(default_factory=dict)
@root_validator(pre=True)
def build_extra(cls, values: Dict) -> Dict:
@model_validator(mode="before")
@classmethod
def build_extra(cls, values: Dict) -> Any:
extra = values.get("model_kwargs", {})
all_required_field_names = get_pydantic_field_names(cls)
values["model_kwargs"] = build_extra_kwargs(
@@ -180,9 +181,10 @@ class Anthropic(LLM, _AnthropicCommon):
response = model.invoke(prompt)
"""
class Config:
allow_population_by_field_name = True
arbitrary_types_allowed = True
model_config = ConfigDict(
populate_by_name=True,
arbitrary_types_allowed=True,
)
@pre_init
def raise_warning(cls, values: Dict) -> Dict: