mirror of
https://github.com/wassname/openrouter-python-sdk-retry-errors.git
synced 2026-08-07 11:25:29 +08:00
fixes
This commit is contained in:
Matt Apperson
@@ -0,0 +1,330 @@
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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 .outputitemimagegenerationcall import (
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OutputItemImageGenerationCall,
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OutputItemImageGenerationCallTypedDict,
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)
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from .outputmessage import OutputMessage, OutputMessageTypedDict
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from .responseinputaudio import ResponseInputAudio, ResponseInputAudioTypedDict
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from .responseinputfile import ResponseInputFile, ResponseInputFileTypedDict
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from .responseinputimage import ResponseInputImage, ResponseInputImageTypedDict
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from .responseinputtext import ResponseInputText, ResponseInputTextTypedDict
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from .toolcallstatus import ToolCallStatus
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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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)
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from openrouter.utils import get_discriminator, validate_open_enum
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from pydantic import Discriminator, Tag, model_serializer
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from pydantic.functional_validators import PlainValidator
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from typing import Any, List, Literal, Optional, Union
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from typing_extensions import Annotated, NotRequired, TypeAliasType, TypedDict
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OpenAIResponsesInputTypeFunctionCall = Literal["function_call",]
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class OpenAIResponsesInputFunctionCallTypedDict(TypedDict):
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type: OpenAIResponsesInputTypeFunctionCall
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call_id: str
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name: str
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arguments: str
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id: NotRequired[str]
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status: NotRequired[Nullable[ToolCallStatus]]
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class OpenAIResponsesInputFunctionCall(BaseModel):
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type: OpenAIResponsesInputTypeFunctionCall
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call_id: str
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name: str
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arguments: str
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id: Optional[str] = None
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status: Annotated[
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OptionalNullable[ToolCallStatus], PlainValidator(validate_open_enum(False))
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] = UNSET
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@model_serializer(mode="wrap")
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def serialize_model(self, handler):
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optional_fields = ["id", "status"]
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nullable_fields = ["status"]
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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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OpenAIResponsesInputTypeFunctionCallOutput = Literal["function_call_output",]
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class OpenAIResponsesInputFunctionCallOutputTypedDict(TypedDict):
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type: OpenAIResponsesInputTypeFunctionCallOutput
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call_id: str
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output: str
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id: NotRequired[Nullable[str]]
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status: NotRequired[Nullable[ToolCallStatus]]
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class OpenAIResponsesInputFunctionCallOutput(BaseModel):
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type: OpenAIResponsesInputTypeFunctionCallOutput
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call_id: str
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output: str
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id: OptionalNullable[str] = UNSET
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status: Annotated[
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OptionalNullable[ToolCallStatus], PlainValidator(validate_open_enum(False))
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] = UNSET
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@model_serializer(mode="wrap")
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def serialize_model(self, handler):
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optional_fields = ["id", "status"]
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nullable_fields = ["id", "status"]
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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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OpenAIResponsesInputTypeMessage2 = Literal["message",]
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OpenAIResponsesInputRoleDeveloper2 = Literal["developer",]
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OpenAIResponsesInputRoleSystem2 = Literal["system",]
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OpenAIResponsesInputRoleUser2 = Literal["user",]
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OpenAIResponsesInputRoleUnion2TypedDict = TypeAliasType(
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"OpenAIResponsesInputRoleUnion2TypedDict",
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Union[
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OpenAIResponsesInputRoleUser2,
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OpenAIResponsesInputRoleSystem2,
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OpenAIResponsesInputRoleDeveloper2,
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],
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)
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OpenAIResponsesInputRoleUnion2 = TypeAliasType(
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"OpenAIResponsesInputRoleUnion2",
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Union[
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OpenAIResponsesInputRoleUser2,
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OpenAIResponsesInputRoleSystem2,
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OpenAIResponsesInputRoleDeveloper2,
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],
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)
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OpenAIResponsesInputContent3TypedDict = TypeAliasType(
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"OpenAIResponsesInputContent3TypedDict",
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Union[
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ResponseInputTextTypedDict,
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ResponseInputAudioTypedDict,
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ResponseInputImageTypedDict,
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ResponseInputFileTypedDict,
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],
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)
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OpenAIResponsesInputContent3 = Annotated[
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Union[
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Annotated[ResponseInputText, Tag("input_text")],
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Annotated[ResponseInputImage, Tag("input_image")],
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Annotated[ResponseInputFile, Tag("input_file")],
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Annotated[ResponseInputAudio, Tag("input_audio")],
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],
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Discriminator(lambda m: get_discriminator(m, "type", "type")),
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]
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class OpenAIResponsesInputMessage2TypedDict(TypedDict):
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id: str
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role: OpenAIResponsesInputRoleUnion2TypedDict
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content: List[OpenAIResponsesInputContent3TypedDict]
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type: NotRequired[OpenAIResponsesInputTypeMessage2]
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class OpenAIResponsesInputMessage2(BaseModel):
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id: str
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role: OpenAIResponsesInputRoleUnion2
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content: List[OpenAIResponsesInputContent3]
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type: Optional[OpenAIResponsesInputTypeMessage2] = None
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OpenAIResponsesInputTypeMessage1 = Literal["message",]
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OpenAIResponsesInputRoleDeveloper1 = Literal["developer",]
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OpenAIResponsesInputRoleAssistant = Literal["assistant",]
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OpenAIResponsesInputRoleSystem1 = Literal["system",]
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OpenAIResponsesInputRoleUser1 = Literal["user",]
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OpenAIResponsesInputRoleUnion1TypedDict = TypeAliasType(
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"OpenAIResponsesInputRoleUnion1TypedDict",
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Union[
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OpenAIResponsesInputRoleUser1,
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OpenAIResponsesInputRoleSystem1,
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OpenAIResponsesInputRoleAssistant,
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OpenAIResponsesInputRoleDeveloper1,
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],
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)
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OpenAIResponsesInputRoleUnion1 = TypeAliasType(
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"OpenAIResponsesInputRoleUnion1",
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Union[
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OpenAIResponsesInputRoleUser1,
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OpenAIResponsesInputRoleSystem1,
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OpenAIResponsesInputRoleAssistant,
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OpenAIResponsesInputRoleDeveloper1,
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],
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)
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OpenAIResponsesInputContent1TypedDict = TypeAliasType(
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"OpenAIResponsesInputContent1TypedDict",
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Union[
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ResponseInputTextTypedDict,
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ResponseInputAudioTypedDict,
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ResponseInputImageTypedDict,
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ResponseInputFileTypedDict,
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],
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)
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OpenAIResponsesInputContent1 = Annotated[
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Union[
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Annotated[ResponseInputText, Tag("input_text")],
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Annotated[ResponseInputImage, Tag("input_image")],
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Annotated[ResponseInputFile, Tag("input_file")],
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Annotated[ResponseInputAudio, Tag("input_audio")],
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],
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Discriminator(lambda m: get_discriminator(m, "type", "type")),
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]
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OpenAIResponsesInputContent2TypedDict = TypeAliasType(
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"OpenAIResponsesInputContent2TypedDict",
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Union[List[OpenAIResponsesInputContent1TypedDict], str],
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)
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OpenAIResponsesInputContent2 = TypeAliasType(
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"OpenAIResponsesInputContent2", Union[List[OpenAIResponsesInputContent1], str]
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)
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class OpenAIResponsesInputMessage1TypedDict(TypedDict):
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role: OpenAIResponsesInputRoleUnion1TypedDict
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content: OpenAIResponsesInputContent2TypedDict
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type: NotRequired[OpenAIResponsesInputTypeMessage1]
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class OpenAIResponsesInputMessage1(BaseModel):
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role: OpenAIResponsesInputRoleUnion1
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content: OpenAIResponsesInputContent2
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type: Optional[OpenAIResponsesInputTypeMessage1] = None
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OpenAIResponsesInputUnion1TypedDict = TypeAliasType(
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"OpenAIResponsesInputUnion1TypedDict",
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Union[
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OpenAIResponsesInputMessage1TypedDict,
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OpenAIResponsesInputMessage2TypedDict,
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OutputItemImageGenerationCallTypedDict,
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OpenAIResponsesInputFunctionCallOutputTypedDict,
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OutputMessageTypedDict,
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OpenAIResponsesInputFunctionCallTypedDict,
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],
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)
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OpenAIResponsesInputUnion1 = TypeAliasType(
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"OpenAIResponsesInputUnion1",
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Union[
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OpenAIResponsesInputMessage1,
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OpenAIResponsesInputMessage2,
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OutputItemImageGenerationCall,
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OpenAIResponsesInputFunctionCallOutput,
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OutputMessage,
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OpenAIResponsesInputFunctionCall,
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],
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)
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OpenAIResponsesInputUnionTypedDict = TypeAliasType(
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"OpenAIResponsesInputUnionTypedDict",
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Union[str, List[OpenAIResponsesInputUnion1TypedDict], Any],
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)
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OpenAIResponsesInputUnion = TypeAliasType(
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"OpenAIResponsesInputUnion", Union[str, List[OpenAIResponsesInputUnion1], Any]
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)
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