mirror of
https://github.com/wassname/openrouter-python-sdk-retry-errors.git
synced 2026-08-02 12:50:48 +08:00
fixes
This commit is contained in:
Matt Apperson
@@ -0,0 +1,654 @@
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"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
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from __future__ import annotations
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from .openairesponsesincludable import OpenAIResponsesIncludable
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from .openairesponsesprompt import OpenAIResponsesPrompt, OpenAIResponsesPromptTypedDict
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from .openairesponsestoolchoice_union import (
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OpenAIResponsesToolChoiceUnion,
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OpenAIResponsesToolChoiceUnionTypedDict,
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)
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from .openresponsesinput import OpenResponsesInput, OpenResponsesInputTypedDict
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from .openresponsesreasoningconfig import (
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OpenResponsesReasoningConfig,
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OpenResponsesReasoningConfigTypedDict,
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)
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from .openresponsesresponsetext import (
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OpenResponsesResponseText,
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OpenResponsesResponseTextTypedDict,
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)
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from .openresponseswebsearch20250826tool import (
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OpenResponsesWebSearch20250826Tool,
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OpenResponsesWebSearch20250826ToolTypedDict,
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)
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from .openresponseswebsearchpreview20250311tool import (
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OpenResponsesWebSearchPreview20250311Tool,
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OpenResponsesWebSearchPreview20250311ToolTypedDict,
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)
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from .openresponseswebsearchpreviewtool import (
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OpenResponsesWebSearchPreviewTool,
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OpenResponsesWebSearchPreviewToolTypedDict,
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)
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from .openresponseswebsearchtool import (
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OpenResponsesWebSearchTool,
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OpenResponsesWebSearchToolTypedDict,
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)
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from .providername import ProviderName
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from .quantization import Quantization
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from openrouter.types import (
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BaseModel,
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Nullable,
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OptionalNullable,
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UNSET,
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UNSET_SENTINEL,
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UnrecognizedStr,
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)
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from openrouter.utils import validate_open_enum
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from pydantic import model_serializer
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from pydantic.functional_validators import PlainValidator
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from typing import Any, Dict, List, Literal, Optional, Union
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from typing_extensions import Annotated, NotRequired, TypeAliasType, TypedDict
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OpenResponsesRequestType = Literal["function",]
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class OpenResponsesRequestToolFunctionTypedDict(TypedDict):
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r"""Function tool definition"""
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type: OpenResponsesRequestType
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name: str
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parameters: Nullable[Dict[str, Nullable[Any]]]
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description: NotRequired[Nullable[str]]
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strict: NotRequired[Nullable[bool]]
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class OpenResponsesRequestToolFunction(BaseModel):
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r"""Function tool definition"""
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type: OpenResponsesRequestType
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name: str
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parameters: Nullable[Dict[str, Nullable[Any]]]
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description: OptionalNullable[str] = UNSET
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strict: OptionalNullable[bool] = UNSET
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@model_serializer(mode="wrap")
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def serialize_model(self, handler):
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optional_fields = ["description", "strict"]
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nullable_fields = ["description", "strict", "parameters"]
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null_default_fields = []
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serialized = handler(self)
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m = {}
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for n, f in type(self).model_fields.items():
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k = f.alias or n
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val = serialized.get(k)
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serialized.pop(k, None)
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optional_nullable = k in optional_fields and k in nullable_fields
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is_set = (
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self.__pydantic_fields_set__.intersection({n})
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or k in null_default_fields
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) # pylint: disable=no-member
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if val is not None and val != UNSET_SENTINEL:
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m[k] = val
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elif val != UNSET_SENTINEL and (
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not k in optional_fields or (optional_nullable and is_set)
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):
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m[k] = val
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return m
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OpenResponsesRequestToolUnionTypedDict = TypeAliasType(
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"OpenResponsesRequestToolUnionTypedDict",
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Union[
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OpenResponsesWebSearchPreviewToolTypedDict,
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OpenResponsesWebSearchPreview20250311ToolTypedDict,
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OpenResponsesWebSearchToolTypedDict,
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OpenResponsesWebSearch20250826ToolTypedDict,
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OpenResponsesRequestToolFunctionTypedDict,
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],
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)
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OpenResponsesRequestToolUnion = TypeAliasType(
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"OpenResponsesRequestToolUnion",
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Union[
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OpenResponsesWebSearchPreviewTool,
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OpenResponsesWebSearchPreview20250311Tool,
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OpenResponsesWebSearchTool,
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OpenResponsesWebSearch20250826Tool,
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OpenResponsesRequestToolFunction,
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],
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)
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ServiceTier = Union[
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Literal[
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"auto",
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"default",
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"flex",
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"priority",
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"scale",
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],
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UnrecognizedStr,
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]
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Truncation = Union[
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Literal[
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"auto",
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"disabled",
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],
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UnrecognizedStr,
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]
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DataCollection = Union[
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Literal[
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"deny",
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"allow",
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],
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UnrecognizedStr,
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]
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r"""Data collection setting. If no available model provider meets the requirement, your request will return an error.
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- allow: (default) allow providers which store user data non-transiently and may train on it
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- deny: use only providers which do not collect user data.
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"""
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OrderTypedDict = TypeAliasType("OrderTypedDict", Union[ProviderName, str])
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Order = TypeAliasType(
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"Order",
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Union[Annotated[ProviderName, PlainValidator(validate_open_enum(False))], str],
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)
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OnlyTypedDict = TypeAliasType("OnlyTypedDict", Union[ProviderName, str])
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Only = TypeAliasType(
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"Only",
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Union[Annotated[ProviderName, PlainValidator(validate_open_enum(False))], str],
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)
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IgnoreTypedDict = TypeAliasType("IgnoreTypedDict", Union[ProviderName, str])
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Ignore = TypeAliasType(
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"Ignore",
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Union[Annotated[ProviderName, PlainValidator(validate_open_enum(False))], str],
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)
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Sort = Union[
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Literal[
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"price",
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"throughput",
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"latency",
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],
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UnrecognizedStr,
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]
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r"""The sorting strategy to use for this request, if \"order\" is not specified. When set, no load balancing is performed."""
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class MaxPriceTypedDict(TypedDict):
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r"""The object specifying the maximum price you want to pay for this request. USD price per million tokens, for prompt and completion."""
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prompt: NotRequired[Any]
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r"""A value in string or number format that is a large number"""
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completion: NotRequired[Any]
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r"""A value in string or number format that is a large number"""
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image: NotRequired[Any]
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r"""A value in string or number format that is a large number"""
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audio: NotRequired[Any]
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r"""A value in string or number format that is a large number"""
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request: NotRequired[Any]
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r"""A value in string or number format that is a large number"""
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class MaxPrice(BaseModel):
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r"""The object specifying the maximum price you want to pay for this request. USD price per million tokens, for prompt and completion."""
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prompt: Optional[Any] = None
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r"""A value in string or number format that is a large number"""
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completion: Optional[Any] = None
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r"""A value in string or number format that is a large number"""
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image: Optional[Any] = None
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r"""A value in string or number format that is a large number"""
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audio: Optional[Any] = None
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r"""A value in string or number format that is a large number"""
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request: Optional[Any] = None
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r"""A value in string or number format that is a large number"""
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class ProviderTypedDict(TypedDict):
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r"""When multiple model providers are available, optionally indicate your routing preference."""
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allow_fallbacks: NotRequired[Nullable[bool]]
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r"""Whether to allow backup providers to serve requests
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- true: (default) when the primary provider (or your custom providers in \"order\") is unavailable, use the next best provider.
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- false: use only the primary/custom provider, and return the upstream error if it's unavailable.
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"""
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require_parameters: NotRequired[Nullable[bool]]
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r"""Whether to filter providers to only those that support the parameters you've provided. If this setting is omitted or set to false, then providers will receive only the parameters they support, and ignore the rest."""
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data_collection: NotRequired[Nullable[DataCollection]]
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r"""Data collection setting. If no available model provider meets the requirement, your request will return an error.
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- allow: (default) allow providers which store user data non-transiently and may train on it
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- deny: use only providers which do not collect user data.
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"""
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zdr: NotRequired[Nullable[bool]]
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r"""Whether to restrict routing to only ZDR (Zero Data Retention) endpoints. When true, only endpoints that do not retain prompts will be used."""
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enforce_distillable_text: NotRequired[Nullable[bool]]
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r"""Whether to restrict routing to only models that allow text distillation. When true, only models where the author has allowed distillation will be used."""
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order: NotRequired[Nullable[List[OrderTypedDict]]]
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r"""An ordered list of provider slugs. The router will attempt to use the first provider in the subset of this list that supports your requested model, and fall back to the next if it is unavailable. If no providers are available, the request will fail with an error message."""
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only: NotRequired[Nullable[List[OnlyTypedDict]]]
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r"""List of provider slugs to allow. If provided, this list is merged with your account-wide allowed provider settings for this request."""
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ignore: NotRequired[Nullable[List[IgnoreTypedDict]]]
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r"""List of provider slugs to ignore. If provided, this list is merged with your account-wide ignored provider settings for this request."""
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quantizations: NotRequired[Nullable[List[Quantization]]]
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r"""A list of quantization levels to filter the provider by."""
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sort: NotRequired[Nullable[Sort]]
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r"""The sorting strategy to use for this request, if \"order\" is not specified. When set, no load balancing is performed."""
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max_price: NotRequired[MaxPriceTypedDict]
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r"""The object specifying the maximum price you want to pay for this request. USD price per million tokens, for prompt and completion."""
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class Provider(BaseModel):
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r"""When multiple model providers are available, optionally indicate your routing preference."""
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allow_fallbacks: OptionalNullable[bool] = UNSET
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r"""Whether to allow backup providers to serve requests
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- true: (default) when the primary provider (or your custom providers in \"order\") is unavailable, use the next best provider.
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- false: use only the primary/custom provider, and return the upstream error if it's unavailable.
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"""
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require_parameters: OptionalNullable[bool] = UNSET
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r"""Whether to filter providers to only those that support the parameters you've provided. If this setting is omitted or set to false, then providers will receive only the parameters they support, and ignore the rest."""
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data_collection: Annotated[
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OptionalNullable[DataCollection], PlainValidator(validate_open_enum(False))
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] = UNSET
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r"""Data collection setting. If no available model provider meets the requirement, your request will return an error.
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- allow: (default) allow providers which store user data non-transiently and may train on it
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- deny: use only providers which do not collect user data.
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"""
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zdr: OptionalNullable[bool] = UNSET
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r"""Whether to restrict routing to only ZDR (Zero Data Retention) endpoints. When true, only endpoints that do not retain prompts will be used."""
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enforce_distillable_text: OptionalNullable[bool] = UNSET
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r"""Whether to restrict routing to only models that allow text distillation. When true, only models where the author has allowed distillation will be used."""
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|
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order: OptionalNullable[List[Order]] = UNSET
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r"""An ordered list of provider slugs. The router will attempt to use the first provider in the subset of this list that supports your requested model, and fall back to the next if it is unavailable. If no providers are available, the request will fail with an error message."""
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only: OptionalNullable[List[Only]] = UNSET
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r"""List of provider slugs to allow. If provided, this list is merged with your account-wide allowed provider settings for this request."""
|
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|
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ignore: OptionalNullable[List[Ignore]] = UNSET
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r"""List of provider slugs to ignore. If provided, this list is merged with your account-wide ignored provider settings for this request."""
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|
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quantizations: OptionalNullable[
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List[Annotated[Quantization, PlainValidator(validate_open_enum(False))]]
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] = UNSET
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r"""A list of quantization levels to filter the provider by."""
|
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|
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sort: Annotated[
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OptionalNullable[Sort], PlainValidator(validate_open_enum(False))
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] = UNSET
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r"""The sorting strategy to use for this request, if \"order\" is not specified. When set, no load balancing is performed."""
|
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|
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max_price: Optional[MaxPrice] = None
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r"""The object specifying the maximum price you want to pay for this request. USD price per million tokens, for prompt and completion."""
|
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|
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@model_serializer(mode="wrap")
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def serialize_model(self, handler):
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optional_fields = [
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"allow_fallbacks",
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"require_parameters",
|
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"data_collection",
|
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"zdr",
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"enforce_distillable_text",
|
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"order",
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"only",
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"ignore",
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"quantizations",
|
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"sort",
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"max_price",
|
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]
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nullable_fields = [
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"allow_fallbacks",
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"require_parameters",
|
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"data_collection",
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"zdr",
|
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"enforce_distillable_text",
|
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"order",
|
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"only",
|
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"ignore",
|
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"quantizations",
|
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"sort",
|
||||
]
|
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null_default_fields = []
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|
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serialized = handler(self)
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|
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m = {}
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|
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for n, f in type(self).model_fields.items():
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k = f.alias or n
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||||
val = serialized.get(k)
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serialized.pop(k, None)
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||||
|
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optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
|
||||
|
||||
IDFileParser = Literal["file-parser",]
|
||||
|
||||
|
||||
PdfEngine = Union[
|
||||
Literal[
|
||||
"mistral-ocr",
|
||||
"pdf-text",
|
||||
"native",
|
||||
],
|
||||
UnrecognizedStr,
|
||||
]
|
||||
|
||||
|
||||
class PdfTypedDict(TypedDict):
|
||||
engine: NotRequired[PdfEngine]
|
||||
|
||||
|
||||
class Pdf(BaseModel):
|
||||
engine: Annotated[
|
||||
Optional[PdfEngine], PlainValidator(validate_open_enum(False))
|
||||
] = None
|
||||
|
||||
|
||||
class PluginFileParserTypedDict(TypedDict):
|
||||
id: IDFileParser
|
||||
max_files: NotRequired[float]
|
||||
pdf: NotRequired[PdfTypedDict]
|
||||
|
||||
|
||||
class PluginFileParser(BaseModel):
|
||||
id: IDFileParser
|
||||
|
||||
max_files: Optional[float] = None
|
||||
|
||||
pdf: Optional[Pdf] = None
|
||||
|
||||
|
||||
IDWeb = Literal["web",]
|
||||
|
||||
|
||||
Engine = Union[
|
||||
Literal[
|
||||
"native",
|
||||
"exa",
|
||||
],
|
||||
UnrecognizedStr,
|
||||
]
|
||||
|
||||
|
||||
class PluginWebTypedDict(TypedDict):
|
||||
id: IDWeb
|
||||
max_results: NotRequired[float]
|
||||
search_prompt: NotRequired[str]
|
||||
engine: NotRequired[Engine]
|
||||
|
||||
|
||||
class PluginWeb(BaseModel):
|
||||
id: IDWeb
|
||||
|
||||
max_results: Optional[float] = None
|
||||
|
||||
search_prompt: Optional[str] = None
|
||||
|
||||
engine: Annotated[Optional[Engine], PlainValidator(validate_open_enum(False))] = (
|
||||
None
|
||||
)
|
||||
|
||||
|
||||
IDModeration = Literal["moderation",]
|
||||
|
||||
|
||||
class PluginModerationTypedDict(TypedDict):
|
||||
id: IDModeration
|
||||
|
||||
|
||||
class PluginModeration(BaseModel):
|
||||
id: IDModeration
|
||||
|
||||
|
||||
PluginTypedDict = TypeAliasType(
|
||||
"PluginTypedDict",
|
||||
Union[PluginModerationTypedDict, PluginFileParserTypedDict, PluginWebTypedDict],
|
||||
)
|
||||
|
||||
|
||||
Plugin = TypeAliasType("Plugin", Union[PluginModeration, PluginFileParser, PluginWeb])
|
||||
|
||||
|
||||
class OpenResponsesRequestTypedDict(TypedDict):
|
||||
r"""Request schema for Responses endpoint"""
|
||||
|
||||
input: NotRequired[OpenResponsesInputTypedDict]
|
||||
r"""Input for a response request - can be a string or array of items"""
|
||||
instructions: NotRequired[Nullable[str]]
|
||||
metadata: NotRequired[Nullable[Dict[str, str]]]
|
||||
r"""Metadata key-value pairs for the request. Keys must be ≤64 characters and cannot contain brackets. Values must be ≤512 characters. Maximum 16 pairs allowed."""
|
||||
tools: NotRequired[List[OpenResponsesRequestToolUnionTypedDict]]
|
||||
tool_choice: NotRequired[OpenAIResponsesToolChoiceUnionTypedDict]
|
||||
parallel_tool_calls: NotRequired[Nullable[bool]]
|
||||
model: NotRequired[str]
|
||||
models: NotRequired[List[str]]
|
||||
text: NotRequired[OpenResponsesResponseTextTypedDict]
|
||||
r"""Text output configuration including format and verbosity"""
|
||||
reasoning: NotRequired[Nullable[OpenResponsesReasoningConfigTypedDict]]
|
||||
r"""Configuration for reasoning mode in the response"""
|
||||
max_output_tokens: NotRequired[Nullable[float]]
|
||||
temperature: NotRequired[Nullable[float]]
|
||||
top_p: NotRequired[Nullable[float]]
|
||||
top_k: NotRequired[float]
|
||||
prompt_cache_key: NotRequired[Nullable[str]]
|
||||
previous_response_id: NotRequired[Nullable[str]]
|
||||
prompt: NotRequired[Nullable[OpenAIResponsesPromptTypedDict]]
|
||||
include: NotRequired[Nullable[List[OpenAIResponsesIncludable]]]
|
||||
background: NotRequired[Nullable[bool]]
|
||||
safety_identifier: NotRequired[Nullable[str]]
|
||||
store: NotRequired[Nullable[bool]]
|
||||
service_tier: NotRequired[Nullable[ServiceTier]]
|
||||
truncation: NotRequired[Nullable[Truncation]]
|
||||
stream: NotRequired[bool]
|
||||
provider: NotRequired[Nullable[ProviderTypedDict]]
|
||||
r"""When multiple model providers are available, optionally indicate your routing preference."""
|
||||
plugins: NotRequired[List[PluginTypedDict]]
|
||||
r"""Plugins you want to enable for this request, including their settings."""
|
||||
user: NotRequired[str]
|
||||
r"""A unique identifier representing your end-user, which helps distinguish between different users of your app. This allows your app to identify specific users in case of abuse reports, preventing your entire app from being affected by the actions of individual users. Maximum of 128 characters."""
|
||||
|
||||
|
||||
class OpenResponsesRequest(BaseModel):
|
||||
r"""Request schema for Responses endpoint"""
|
||||
|
||||
input: Optional[OpenResponsesInput] = None
|
||||
r"""Input for a response request - can be a string or array of items"""
|
||||
|
||||
instructions: OptionalNullable[str] = UNSET
|
||||
|
||||
metadata: OptionalNullable[Dict[str, str]] = UNSET
|
||||
r"""Metadata key-value pairs for the request. Keys must be ≤64 characters and cannot contain brackets. Values must be ≤512 characters. Maximum 16 pairs allowed."""
|
||||
|
||||
tools: Optional[List[OpenResponsesRequestToolUnion]] = None
|
||||
|
||||
tool_choice: Optional[OpenAIResponsesToolChoiceUnion] = None
|
||||
|
||||
parallel_tool_calls: OptionalNullable[bool] = UNSET
|
||||
|
||||
model: Optional[str] = None
|
||||
|
||||
models: Optional[List[str]] = None
|
||||
|
||||
text: Optional[OpenResponsesResponseText] = None
|
||||
r"""Text output configuration including format and verbosity"""
|
||||
|
||||
reasoning: OptionalNullable[OpenResponsesReasoningConfig] = UNSET
|
||||
r"""Configuration for reasoning mode in the response"""
|
||||
|
||||
max_output_tokens: OptionalNullable[float] = UNSET
|
||||
|
||||
temperature: OptionalNullable[float] = UNSET
|
||||
|
||||
top_p: OptionalNullable[float] = UNSET
|
||||
|
||||
top_k: Optional[float] = None
|
||||
|
||||
prompt_cache_key: OptionalNullable[str] = UNSET
|
||||
|
||||
previous_response_id: OptionalNullable[str] = UNSET
|
||||
|
||||
prompt: OptionalNullable[OpenAIResponsesPrompt] = UNSET
|
||||
|
||||
include: OptionalNullable[
|
||||
List[
|
||||
Annotated[
|
||||
OpenAIResponsesIncludable, PlainValidator(validate_open_enum(False))
|
||||
]
|
||||
]
|
||||
] = UNSET
|
||||
|
||||
background: OptionalNullable[bool] = UNSET
|
||||
|
||||
safety_identifier: OptionalNullable[str] = UNSET
|
||||
|
||||
store: OptionalNullable[bool] = UNSET
|
||||
|
||||
service_tier: Annotated[
|
||||
OptionalNullable[ServiceTier], PlainValidator(validate_open_enum(False))
|
||||
] = UNSET
|
||||
|
||||
truncation: Annotated[
|
||||
OptionalNullable[Truncation], PlainValidator(validate_open_enum(False))
|
||||
] = UNSET
|
||||
|
||||
stream: Optional[bool] = False
|
||||
|
||||
provider: OptionalNullable[Provider] = UNSET
|
||||
r"""When multiple model providers are available, optionally indicate your routing preference."""
|
||||
|
||||
plugins: Optional[List[Plugin]] = None
|
||||
r"""Plugins you want to enable for this request, including their settings."""
|
||||
|
||||
user: Optional[str] = None
|
||||
r"""A unique identifier representing your end-user, which helps distinguish between different users of your app. This allows your app to identify specific users in case of abuse reports, preventing your entire app from being affected by the actions of individual users. Maximum of 128 characters."""
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = [
|
||||
"input",
|
||||
"instructions",
|
||||
"metadata",
|
||||
"tools",
|
||||
"tool_choice",
|
||||
"parallel_tool_calls",
|
||||
"model",
|
||||
"models",
|
||||
"text",
|
||||
"reasoning",
|
||||
"max_output_tokens",
|
||||
"temperature",
|
||||
"top_p",
|
||||
"top_k",
|
||||
"prompt_cache_key",
|
||||
"previous_response_id",
|
||||
"prompt",
|
||||
"include",
|
||||
"background",
|
||||
"safety_identifier",
|
||||
"store",
|
||||
"service_tier",
|
||||
"truncation",
|
||||
"stream",
|
||||
"provider",
|
||||
"plugins",
|
||||
"user",
|
||||
]
|
||||
nullable_fields = [
|
||||
"instructions",
|
||||
"metadata",
|
||||
"parallel_tool_calls",
|
||||
"reasoning",
|
||||
"max_output_tokens",
|
||||
"temperature",
|
||||
"top_p",
|
||||
"prompt_cache_key",
|
||||
"previous_response_id",
|
||||
"prompt",
|
||||
"include",
|
||||
"background",
|
||||
"safety_identifier",
|
||||
"store",
|
||||
"service_tier",
|
||||
"truncation",
|
||||
"provider",
|
||||
]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
Reference in New Issue
Block a user