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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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@@ -1,10 +1,10 @@
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import os
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from enum import Enum
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from typing import Any, Dict, List, Optional
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from typing import Any, Dict, List, Optional, Type
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import requests
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from langchain_core.pydantic_v1 import BaseModel, Field, ValidationError, validator
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from langchain_core.tools import BaseTool
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from pydantic import BaseModel, Field, ValidationError, validator
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class Detector(str, Enum):
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@@ -30,13 +30,12 @@ class DetectorAPI(str, Enum):
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class ZenGuardInput(BaseModel):
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prompts: List[str] = Field(
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...,
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min_items=1,
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min_length=1,
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description="Prompt to check",
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)
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detectors: List[Detector] = Field(
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...,
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min_items=1,
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min_length=1,
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description="List of detectors by which you want to check the prompt",
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)
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in_parallel: bool = Field(
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@@ -50,7 +49,7 @@ class ZenGuardTool(BaseTool):
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description: str = (
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"ZenGuard AI integration package. ZenGuard AI - the fastest GenAI guardrails."
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)
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args_schema = ZenGuardInput
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args_schema: Type[BaseModel] = ZenGuardInput
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return_direct: bool = True
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zenguard_api_key: Optional[str] = Field(default=None)
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