mirror of
https://github.com/wassname/openrouter-python-sdk-retry-errors.git
synced 2026-08-07 11:25:29 +08:00
OpenRouter Team
ae623ddecf
- f35bb49a8b788937fa61c0cf4591b14f2bc8b217 - 08a37babde9ad8df5e24e0cd865d3292b1627464 - 7ddc8e1ed230ca489bc11a5e14696c209ea76349 - ad31290f38f3f02627f3e1953f1d7cf3e06159a5 - fb7f764b500618e322f56d49997fbcfaebba7e39 - 4306c032b9b4f3cfefeacdd3d243b0336f3b2f15 GitOrigin-RevId: f35bb49a8b788937fa61c0cf4591b14f2bc8b217
417 lines
11 KiB
Python
417 lines
11 KiB
Python
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
|
|
|
from __future__ import annotations
|
|
from .outputitemimagegenerationcall import (
|
|
OutputItemImageGenerationCall,
|
|
OutputItemImageGenerationCallTypedDict,
|
|
)
|
|
from .outputmessage import OutputMessage, OutputMessageTypedDict
|
|
from .responseinputaudio import ResponseInputAudio, ResponseInputAudioTypedDict
|
|
from .responseinputfile import ResponseInputFile, ResponseInputFileTypedDict
|
|
from .responseinputimage import ResponseInputImage, ResponseInputImageTypedDict
|
|
from .responseinputtext import ResponseInputText, ResponseInputTextTypedDict
|
|
from .toolcallstatus import ToolCallStatus
|
|
from openrouter.types import (
|
|
BaseModel,
|
|
Nullable,
|
|
OptionalNullable,
|
|
UNSET,
|
|
UNSET_SENTINEL,
|
|
)
|
|
from openrouter.utils import get_discriminator, validate_open_enum
|
|
from pydantic import Discriminator, Tag, model_serializer
|
|
from pydantic.functional_validators import PlainValidator
|
|
from typing import Any, List, Literal, Optional, Union
|
|
from typing_extensions import Annotated, NotRequired, TypeAliasType, TypedDict
|
|
|
|
|
|
OpenAIResponsesInputTypeFunctionCall = Literal["function_call",]
|
|
|
|
|
|
class OpenAIResponsesInputFunctionCallTypedDict(TypedDict):
|
|
type: OpenAIResponsesInputTypeFunctionCall
|
|
call_id: str
|
|
name: str
|
|
arguments: str
|
|
id: NotRequired[str]
|
|
status: NotRequired[Nullable[ToolCallStatus]]
|
|
|
|
|
|
class OpenAIResponsesInputFunctionCall(BaseModel):
|
|
type: OpenAIResponsesInputTypeFunctionCall
|
|
|
|
call_id: str
|
|
|
|
name: str
|
|
|
|
arguments: str
|
|
|
|
id: Optional[str] = None
|
|
|
|
status: Annotated[
|
|
OptionalNullable[ToolCallStatus], PlainValidator(validate_open_enum(False))
|
|
] = UNSET
|
|
|
|
@model_serializer(mode="wrap")
|
|
def serialize_model(self, handler):
|
|
optional_fields = ["id", "status"]
|
|
nullable_fields = ["status"]
|
|
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
|
|
|
|
|
|
OpenAIResponsesInputTypeFunctionCallOutput = Literal["function_call_output",]
|
|
|
|
|
|
OpenAIResponsesInputOutput1TypedDict = TypeAliasType(
|
|
"OpenAIResponsesInputOutput1TypedDict",
|
|
Union[
|
|
ResponseInputTextTypedDict,
|
|
ResponseInputImageTypedDict,
|
|
ResponseInputFileTypedDict,
|
|
],
|
|
)
|
|
|
|
|
|
OpenAIResponsesInputOutput1 = Annotated[
|
|
Union[
|
|
Annotated[ResponseInputText, Tag("input_text")],
|
|
Annotated[ResponseInputImage, Tag("input_image")],
|
|
Annotated[ResponseInputFile, Tag("input_file")],
|
|
],
|
|
Discriminator(lambda m: get_discriminator(m, "type", "type")),
|
|
]
|
|
|
|
|
|
OpenAIResponsesInputOutput2TypedDict = TypeAliasType(
|
|
"OpenAIResponsesInputOutput2TypedDict",
|
|
Union[str, List[OpenAIResponsesInputOutput1TypedDict]],
|
|
)
|
|
|
|
|
|
OpenAIResponsesInputOutput2 = TypeAliasType(
|
|
"OpenAIResponsesInputOutput2", Union[str, List[OpenAIResponsesInputOutput1]]
|
|
)
|
|
|
|
|
|
class OpenAIResponsesInputFunctionCallOutputTypedDict(TypedDict):
|
|
type: OpenAIResponsesInputTypeFunctionCallOutput
|
|
call_id: str
|
|
output: OpenAIResponsesInputOutput2TypedDict
|
|
id: NotRequired[Nullable[str]]
|
|
status: NotRequired[Nullable[ToolCallStatus]]
|
|
|
|
|
|
class OpenAIResponsesInputFunctionCallOutput(BaseModel):
|
|
type: OpenAIResponsesInputTypeFunctionCallOutput
|
|
|
|
call_id: str
|
|
|
|
output: OpenAIResponsesInputOutput2
|
|
|
|
id: OptionalNullable[str] = UNSET
|
|
|
|
status: Annotated[
|
|
OptionalNullable[ToolCallStatus], PlainValidator(validate_open_enum(False))
|
|
] = UNSET
|
|
|
|
@model_serializer(mode="wrap")
|
|
def serialize_model(self, handler):
|
|
optional_fields = ["id", "status"]
|
|
nullable_fields = ["id", "status"]
|
|
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
|
|
|
|
|
|
OpenAIResponsesInputTypeMessage2 = Literal["message",]
|
|
|
|
|
|
OpenAIResponsesInputRoleDeveloper2 = Literal["developer",]
|
|
|
|
|
|
OpenAIResponsesInputRoleSystem2 = Literal["system",]
|
|
|
|
|
|
OpenAIResponsesInputRoleUser2 = Literal["user",]
|
|
|
|
|
|
OpenAIResponsesInputRoleUnion2TypedDict = TypeAliasType(
|
|
"OpenAIResponsesInputRoleUnion2TypedDict",
|
|
Union[
|
|
OpenAIResponsesInputRoleUser2,
|
|
OpenAIResponsesInputRoleSystem2,
|
|
OpenAIResponsesInputRoleDeveloper2,
|
|
],
|
|
)
|
|
|
|
|
|
OpenAIResponsesInputRoleUnion2 = TypeAliasType(
|
|
"OpenAIResponsesInputRoleUnion2",
|
|
Union[
|
|
OpenAIResponsesInputRoleUser2,
|
|
OpenAIResponsesInputRoleSystem2,
|
|
OpenAIResponsesInputRoleDeveloper2,
|
|
],
|
|
)
|
|
|
|
|
|
OpenAIResponsesInputContent3TypedDict = TypeAliasType(
|
|
"OpenAIResponsesInputContent3TypedDict",
|
|
Union[
|
|
ResponseInputTextTypedDict,
|
|
ResponseInputAudioTypedDict,
|
|
ResponseInputImageTypedDict,
|
|
ResponseInputFileTypedDict,
|
|
],
|
|
)
|
|
|
|
|
|
OpenAIResponsesInputContent3 = Annotated[
|
|
Union[
|
|
Annotated[ResponseInputText, Tag("input_text")],
|
|
Annotated[ResponseInputImage, Tag("input_image")],
|
|
Annotated[ResponseInputFile, Tag("input_file")],
|
|
Annotated[ResponseInputAudio, Tag("input_audio")],
|
|
],
|
|
Discriminator(lambda m: get_discriminator(m, "type", "type")),
|
|
]
|
|
|
|
|
|
class OpenAIResponsesInputMessage2TypedDict(TypedDict):
|
|
id: str
|
|
role: OpenAIResponsesInputRoleUnion2TypedDict
|
|
content: List[OpenAIResponsesInputContent3TypedDict]
|
|
type: NotRequired[OpenAIResponsesInputTypeMessage2]
|
|
|
|
|
|
class OpenAIResponsesInputMessage2(BaseModel):
|
|
id: str
|
|
|
|
role: OpenAIResponsesInputRoleUnion2
|
|
|
|
content: List[OpenAIResponsesInputContent3]
|
|
|
|
type: Optional[OpenAIResponsesInputTypeMessage2] = None
|
|
|
|
|
|
OpenAIResponsesInputTypeMessage1 = Literal["message",]
|
|
|
|
|
|
OpenAIResponsesInputRoleDeveloper1 = Literal["developer",]
|
|
|
|
|
|
OpenAIResponsesInputRoleAssistant = Literal["assistant",]
|
|
|
|
|
|
OpenAIResponsesInputRoleSystem1 = Literal["system",]
|
|
|
|
|
|
OpenAIResponsesInputRoleUser1 = Literal["user",]
|
|
|
|
|
|
OpenAIResponsesInputRoleUnion1TypedDict = TypeAliasType(
|
|
"OpenAIResponsesInputRoleUnion1TypedDict",
|
|
Union[
|
|
OpenAIResponsesInputRoleUser1,
|
|
OpenAIResponsesInputRoleSystem1,
|
|
OpenAIResponsesInputRoleAssistant,
|
|
OpenAIResponsesInputRoleDeveloper1,
|
|
],
|
|
)
|
|
|
|
|
|
OpenAIResponsesInputRoleUnion1 = TypeAliasType(
|
|
"OpenAIResponsesInputRoleUnion1",
|
|
Union[
|
|
OpenAIResponsesInputRoleUser1,
|
|
OpenAIResponsesInputRoleSystem1,
|
|
OpenAIResponsesInputRoleAssistant,
|
|
OpenAIResponsesInputRoleDeveloper1,
|
|
],
|
|
)
|
|
|
|
|
|
OpenAIResponsesInputContent1TypedDict = TypeAliasType(
|
|
"OpenAIResponsesInputContent1TypedDict",
|
|
Union[
|
|
ResponseInputTextTypedDict,
|
|
ResponseInputAudioTypedDict,
|
|
ResponseInputImageTypedDict,
|
|
ResponseInputFileTypedDict,
|
|
],
|
|
)
|
|
|
|
|
|
OpenAIResponsesInputContent1 = Annotated[
|
|
Union[
|
|
Annotated[ResponseInputText, Tag("input_text")],
|
|
Annotated[ResponseInputImage, Tag("input_image")],
|
|
Annotated[ResponseInputFile, Tag("input_file")],
|
|
Annotated[ResponseInputAudio, Tag("input_audio")],
|
|
],
|
|
Discriminator(lambda m: get_discriminator(m, "type", "type")),
|
|
]
|
|
|
|
|
|
OpenAIResponsesInputContent2TypedDict = TypeAliasType(
|
|
"OpenAIResponsesInputContent2TypedDict",
|
|
Union[List[OpenAIResponsesInputContent1TypedDict], str],
|
|
)
|
|
|
|
|
|
OpenAIResponsesInputContent2 = TypeAliasType(
|
|
"OpenAIResponsesInputContent2", Union[List[OpenAIResponsesInputContent1], str]
|
|
)
|
|
|
|
|
|
OpenAIResponsesInputPhaseFinalAnswer = Literal["final_answer",]
|
|
|
|
|
|
OpenAIResponsesInputPhaseCommentary = Literal["commentary",]
|
|
|
|
|
|
OpenAIResponsesInputPhaseUnionTypedDict = TypeAliasType(
|
|
"OpenAIResponsesInputPhaseUnionTypedDict",
|
|
Union[
|
|
OpenAIResponsesInputPhaseCommentary, OpenAIResponsesInputPhaseFinalAnswer, Any
|
|
],
|
|
)
|
|
|
|
|
|
OpenAIResponsesInputPhaseUnion = TypeAliasType(
|
|
"OpenAIResponsesInputPhaseUnion",
|
|
Union[
|
|
OpenAIResponsesInputPhaseCommentary, OpenAIResponsesInputPhaseFinalAnswer, Any
|
|
],
|
|
)
|
|
|
|
|
|
class OpenAIResponsesInputMessage1TypedDict(TypedDict):
|
|
role: OpenAIResponsesInputRoleUnion1TypedDict
|
|
content: OpenAIResponsesInputContent2TypedDict
|
|
type: NotRequired[OpenAIResponsesInputTypeMessage1]
|
|
phase: NotRequired[Nullable[OpenAIResponsesInputPhaseUnionTypedDict]]
|
|
|
|
|
|
class OpenAIResponsesInputMessage1(BaseModel):
|
|
role: OpenAIResponsesInputRoleUnion1
|
|
|
|
content: OpenAIResponsesInputContent2
|
|
|
|
type: Optional[OpenAIResponsesInputTypeMessage1] = None
|
|
|
|
phase: OptionalNullable[OpenAIResponsesInputPhaseUnion] = UNSET
|
|
|
|
@model_serializer(mode="wrap")
|
|
def serialize_model(self, handler):
|
|
optional_fields = ["type", "phase"]
|
|
nullable_fields = ["phase"]
|
|
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
|
|
|
|
|
|
OpenAIResponsesInputUnion1TypedDict = TypeAliasType(
|
|
"OpenAIResponsesInputUnion1TypedDict",
|
|
Union[
|
|
OpenAIResponsesInputMessage1TypedDict,
|
|
OpenAIResponsesInputMessage2TypedDict,
|
|
OutputItemImageGenerationCallTypedDict,
|
|
OpenAIResponsesInputFunctionCallOutputTypedDict,
|
|
OpenAIResponsesInputFunctionCallTypedDict,
|
|
OutputMessageTypedDict,
|
|
],
|
|
)
|
|
|
|
|
|
OpenAIResponsesInputUnion1 = TypeAliasType(
|
|
"OpenAIResponsesInputUnion1",
|
|
Union[
|
|
OpenAIResponsesInputMessage1,
|
|
OpenAIResponsesInputMessage2,
|
|
OutputItemImageGenerationCall,
|
|
OpenAIResponsesInputFunctionCallOutput,
|
|
OpenAIResponsesInputFunctionCall,
|
|
OutputMessage,
|
|
],
|
|
)
|
|
|
|
|
|
OpenAIResponsesInputUnionTypedDict = TypeAliasType(
|
|
"OpenAIResponsesInputUnionTypedDict",
|
|
Union[str, List[OpenAIResponsesInputUnion1TypedDict], Any],
|
|
)
|
|
|
|
|
|
OpenAIResponsesInputUnion = TypeAliasType(
|
|
"OpenAIResponsesInputUnion", Union[str, List[OpenAIResponsesInputUnion1], Any]
|
|
)
|