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chore: regenerate SDK to v0.0.19 with speakeasy

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This commit is contained in:
Matt Apperson
2025-11-18 13:58:48 -05:00
parent f4ffd51f40
commit 10a76ba502
59 changed files with 812 additions and 653 deletions
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src/openrouter/_version.py
+2 -2
View File
@@ -3,10 +3,10 @@
import importlib.metadata
__title__: str = "openrouter"
__version__: str = "0.0.18"
__version__: str = "0.0.19"
__openapi_doc_version__: str = "1.0.0"
__gen_version__: str = "2.755.9"
__user_agent__: str = "speakeasy-sdk/python 0.0.18 2.755.9 1.0.0 openrouter"
__user_agent__: str = "speakeasy-sdk/python 0.0.19 2.755.9 1.0.0 openrouter"
try:
if __package__ is not None:
src/openrouter/components/__init__.py
+39 -17
View File
@@ -21,7 +21,6 @@ if TYPE_CHECKING:
BadRequestResponseErrorData,
BadRequestResponseErrorDataTypedDict,
)
from .chatcompletionfinishreason import ChatCompletionFinishReason
from .chaterror import ChatErrorError, ChatErrorErrorTypedDict, Code, CodeTypedDict
from .chatgenerationparams import (
ChatGenerationParams,
@@ -72,9 +71,15 @@ if TYPE_CHECKING:
)
from .chatmessagecontentitemvideo import (
ChatMessageContentItemVideo,
ChatMessageContentItemVideoInputVideo,
ChatMessageContentItemVideoInputVideoTypedDict,
ChatMessageContentItemVideoTypedDict,
VideoURL,
VideoURLTypedDict,
ChatMessageContentItemVideoVideoURL,
ChatMessageContentItemVideoVideoURLTypedDict,
VideoURL1,
VideoURL1TypedDict,
VideoURL2,
VideoURL2TypedDict,
)
from .chatmessagetokenlogprob import (
ChatMessageTokenLogprob,
@@ -93,8 +98,13 @@ if TYPE_CHECKING:
ChatMessageToolCallTypedDict,
)
from .chatresponse import ChatResponse, ChatResponseTypedDict
from .chatresponsechoice import ChatResponseChoice, ChatResponseChoiceTypedDict
from .chatstreamingchoice import ChatStreamingChoice, ChatStreamingChoiceTypedDict
from .chatresponsechoice import (
ChatCompletionFinishReason,
ChatResponseChoice,
ChatResponseChoiceTypedDict,
ChatStreamingChoice,
ChatStreamingChoiceTypedDict,
)
from .chatstreamingmessagechunk import (
ChatStreamingMessageChunk,
ChatStreamingMessageChunkRole,
@@ -146,6 +156,7 @@ if TYPE_CHECKING:
CreateChargeRequest,
CreateChargeRequestTypedDict,
)
from .datacollection import DataCollection
from .defaultparameters import DefaultParameters, DefaultParametersTypedDict
from .edgenetworktimeoutresponseerrordata import (
EdgeNetworkTimeoutResponseErrorData,
@@ -408,7 +419,6 @@ if TYPE_CHECKING:
OpenResponsesReasoningSummaryTextDoneEventTypedDict,
)
from .openresponsesrequest import (
DataCollection,
Engine,
IDFileParser,
IDModeration,
@@ -442,7 +452,6 @@ if TYPE_CHECKING:
Provider,
ProviderTypedDict,
ServiceTier,
Sort,
Truncation,
)
from .openresponsesresponsetext import (
@@ -581,6 +590,7 @@ if TYPE_CHECKING:
ProviderOverloadedResponseErrorData,
ProviderOverloadedResponseErrorDataTypedDict,
)
from .providersort import ProviderSort
from .publicendpoint import (
Pricing,
PricingTypedDict,
@@ -821,7 +831,11 @@ __all__ = [
"ChatMessageContentItemTextTypedDict",
"ChatMessageContentItemTypedDict",
"ChatMessageContentItemVideo",
"ChatMessageContentItemVideoInputVideo",
"ChatMessageContentItemVideoInputVideoTypedDict",
"ChatMessageContentItemVideoTypedDict",
"ChatMessageContentItemVideoVideoURL",
"ChatMessageContentItemVideoVideoURLTypedDict",
"ChatMessageTokenLogprob",
"ChatMessageTokenLogprobTypedDict",
"ChatMessageTokenLogprobs",
@@ -1205,6 +1219,7 @@ __all__ = [
"ProviderName",
"ProviderOverloadedResponseErrorData",
"ProviderOverloadedResponseErrorDataTypedDict",
"ProviderSort",
"ProviderTypedDict",
"PublicEndpoint",
"PublicEndpointQuantization",
@@ -1310,7 +1325,6 @@ __all__ = [
"ServiceTier",
"ServiceUnavailableResponseErrorData",
"ServiceUnavailableResponseErrorDataTypedDict",
"Sort",
"StreamOptions",
"StreamOptionsTypedDict",
"SystemMessage",
@@ -1366,8 +1380,10 @@ __all__ = [
"UserMessageTypedDict",
"Variables",
"VariablesTypedDict",
"VideoURL",
"VideoURLTypedDict",
"VideoURL1",
"VideoURL1TypedDict",
"VideoURL2",
"VideoURL2TypedDict",
"WebSearchPreviewToolUserLocation",
"WebSearchPreviewToolUserLocationType",
"WebSearchPreviewToolUserLocationTypedDict",
@@ -1385,7 +1401,6 @@ _dynamic_imports: dict[str, str] = {
"BadGatewayResponseErrorDataTypedDict": ".badgatewayresponseerrordata",
"BadRequestResponseErrorData": ".badrequestresponseerrordata",
"BadRequestResponseErrorDataTypedDict": ".badrequestresponseerrordata",
"ChatCompletionFinishReason": ".chatcompletionfinishreason",
"ChatErrorError": ".chaterror",
"ChatErrorErrorTypedDict": ".chaterror",
"Code": ".chaterror",
@@ -1426,9 +1441,15 @@ _dynamic_imports: dict[str, str] = {
"ChatMessageContentItemText": ".chatmessagecontentitemtext",
"ChatMessageContentItemTextTypedDict": ".chatmessagecontentitemtext",
"ChatMessageContentItemVideo": ".chatmessagecontentitemvideo",
"ChatMessageContentItemVideoInputVideo": ".chatmessagecontentitemvideo",
"ChatMessageContentItemVideoInputVideoTypedDict": ".chatmessagecontentitemvideo",
"ChatMessageContentItemVideoTypedDict": ".chatmessagecontentitemvideo",
"VideoURL": ".chatmessagecontentitemvideo",
"VideoURLTypedDict": ".chatmessagecontentitemvideo",
"ChatMessageContentItemVideoVideoURL": ".chatmessagecontentitemvideo",
"ChatMessageContentItemVideoVideoURLTypedDict": ".chatmessagecontentitemvideo",
"VideoURL1": ".chatmessagecontentitemvideo",
"VideoURL1TypedDict": ".chatmessagecontentitemvideo",
"VideoURL2": ".chatmessagecontentitemvideo",
"VideoURL2TypedDict": ".chatmessagecontentitemvideo",
"ChatMessageTokenLogprob": ".chatmessagetokenlogprob",
"ChatMessageTokenLogprobTypedDict": ".chatmessagetokenlogprob",
"TopLogprob": ".chatmessagetokenlogprob",
@@ -1441,10 +1462,11 @@ _dynamic_imports: dict[str, str] = {
"ChatMessageToolCallTypedDict": ".chatmessagetoolcall",
"ChatResponse": ".chatresponse",
"ChatResponseTypedDict": ".chatresponse",
"ChatCompletionFinishReason": ".chatresponsechoice",
"ChatResponseChoice": ".chatresponsechoice",
"ChatResponseChoiceTypedDict": ".chatresponsechoice",
"ChatStreamingChoice": ".chatstreamingchoice",
"ChatStreamingChoiceTypedDict": ".chatstreamingchoice",
"ChatStreamingChoice": ".chatresponsechoice",
"ChatStreamingChoiceTypedDict": ".chatresponsechoice",
"ChatStreamingMessageChunk": ".chatstreamingmessagechunk",
"ChatStreamingMessageChunkRole": ".chatstreamingmessagechunk",
"ChatStreamingMessageChunkTypedDict": ".chatstreamingmessagechunk",
@@ -1488,6 +1510,7 @@ _dynamic_imports: dict[str, str] = {
"ChainID": ".createchargerequest",
"CreateChargeRequest": ".createchargerequest",
"CreateChargeRequestTypedDict": ".createchargerequest",
"DataCollection": ".datacollection",
"DefaultParameters": ".defaultparameters",
"DefaultParametersTypedDict": ".defaultparameters",
"EdgeNetworkTimeoutResponseErrorData": ".edgenetworktimeoutresponseerrordata",
@@ -1687,7 +1710,6 @@ _dynamic_imports: dict[str, str] = {
"OpenResponsesReasoningSummaryTextDoneEvent": ".openresponsesreasoningsummarytextdoneevent",
"OpenResponsesReasoningSummaryTextDoneEventType": ".openresponsesreasoningsummarytextdoneevent",
"OpenResponsesReasoningSummaryTextDoneEventTypedDict": ".openresponsesreasoningsummarytextdoneevent",
"DataCollection": ".openresponsesrequest",
"Engine": ".openresponsesrequest",
"IDFileParser": ".openresponsesrequest",
"IDModeration": ".openresponsesrequest",
@@ -1721,7 +1743,6 @@ _dynamic_imports: dict[str, str] = {
"Provider": ".openresponsesrequest",
"ProviderTypedDict": ".openresponsesrequest",
"ServiceTier": ".openresponsesrequest",
"Sort": ".openresponsesrequest",
"Truncation": ".openresponsesrequest",
"OpenResponsesResponseText": ".openresponsesresponsetext",
"OpenResponsesResponseTextTypedDict": ".openresponsesresponsetext",
@@ -1834,6 +1855,7 @@ _dynamic_imports: dict[str, str] = {
"ProviderName": ".providername",
"ProviderOverloadedResponseErrorData": ".provideroverloadedresponseerrordata",
"ProviderOverloadedResponseErrorDataTypedDict": ".provideroverloadedresponseerrordata",
"ProviderSort": ".providersort",
"Pricing": ".publicendpoint",
"PricingTypedDict": ".publicendpoint",
"PublicEndpoint": ".publicendpoint",
src/openrouter/components/chatgenerationparams.py
+1
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@@ -31,6 +31,7 @@ from typing_extensions import Annotated, NotRequired, TypeAliasType, TypedDict
Effort = Union[
Literal[
"none",
"minimal",
"low",
"medium",
src/openrouter/components/chatmessagecontentitem.py
+1
View File
@@ -40,6 +40,7 @@ ChatMessageContentItem = Annotated[
Annotated[ChatMessageContentItemImage, Tag("image_url")],
Annotated[ChatMessageContentItemAudio, Tag("input_audio")],
Annotated[ChatMessageContentItemVideo, Tag("input_video")],
Annotated[ChatMessageContentItemVideo, Tag("video_url")],
],
Discriminator(lambda m: get_discriminator(m, "type", "type")),
]
src/openrouter/components/chatmessagecontentitemvideo.py
+45 -8
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@@ -5,25 +5,47 @@ from openrouter.types import BaseModel
from openrouter.utils import validate_const
import pydantic
from pydantic.functional_validators import AfterValidator
from typing import Literal
from typing_extensions import Annotated, TypedDict
from typing import Literal, Union
from typing_extensions import Annotated, TypeAliasType, TypedDict
class VideoURLTypedDict(TypedDict):
class VideoURL2TypedDict(TypedDict):
url: str
class VideoURL(BaseModel):
class VideoURL2(BaseModel):
url: str
class ChatMessageContentItemVideoTypedDict(TypedDict):
video_url: VideoURLTypedDict
class ChatMessageContentItemVideoVideoURLTypedDict(TypedDict):
video_url: VideoURL2TypedDict
type: Literal["video_url"]
class ChatMessageContentItemVideoVideoURL(BaseModel):
video_url: VideoURL2
TYPE: Annotated[
Annotated[Literal["video_url"], AfterValidator(validate_const("video_url"))],
pydantic.Field(alias="type"),
] = "video_url"
class VideoURL1TypedDict(TypedDict):
url: str
class VideoURL1(BaseModel):
url: str
class ChatMessageContentItemVideoInputVideoTypedDict(TypedDict):
video_url: VideoURL1TypedDict
type: Literal["input_video"]
class ChatMessageContentItemVideo(BaseModel):
video_url: VideoURL
class ChatMessageContentItemVideoInputVideo(BaseModel):
video_url: VideoURL1
TYPE: Annotated[
Annotated[
@@ -31,3 +53,18 @@ class ChatMessageContentItemVideo(BaseModel):
],
pydantic.Field(alias="type"),
] = "input_video"
ChatMessageContentItemVideoTypedDict = TypeAliasType(
"ChatMessageContentItemVideoTypedDict",
Union[
ChatMessageContentItemVideoInputVideoTypedDict,
ChatMessageContentItemVideoVideoURLTypedDict,
],
)
ChatMessageContentItemVideo = TypeAliasType(
"ChatMessageContentItemVideo",
Union[ChatMessageContentItemVideoInputVideo, ChatMessageContentItemVideoVideoURL],
)
src/openrouter/components/chatresponsechoice.py
+67 -1
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@@ -2,24 +2,41 @@
from __future__ import annotations
from .assistantmessage import AssistantMessage, AssistantMessageTypedDict
from .chatcompletionfinishreason import ChatCompletionFinishReason
from .chatmessagetokenlogprobs import (
ChatMessageTokenLogprobs,
ChatMessageTokenLogprobsTypedDict,
)
from .chatstreamingmessagechunk import (
ChatStreamingMessageChunk,
ChatStreamingMessageChunkTypedDict,
)
from openrouter.types import (
BaseModel,
Nullable,
OptionalNullable,
UNSET,
UNSET_SENTINEL,
UnrecognizedStr,
)
from openrouter.utils import validate_open_enum
from pydantic import model_serializer
from pydantic.functional_validators import PlainValidator
from typing import Literal, Union
from typing_extensions import Annotated, NotRequired, TypedDict
ChatCompletionFinishReason = Union[
Literal[
"tool_calls",
"stop",
"length",
"content_filter",
"error",
],
UnrecognizedStr,
]
class ChatResponseChoiceTypedDict(TypedDict):
finish_reason: Nullable[ChatCompletionFinishReason]
index: float
@@ -67,3 +84,52 @@ class ChatResponseChoice(BaseModel):
m[k] = val
return m
class ChatStreamingChoiceTypedDict(TypedDict):
delta: ChatStreamingMessageChunkTypedDict
finish_reason: Nullable[ChatCompletionFinishReason]
index: float
logprobs: NotRequired[Nullable[ChatMessageTokenLogprobsTypedDict]]
class ChatStreamingChoice(BaseModel):
delta: ChatStreamingMessageChunk
finish_reason: Annotated[
Nullable[ChatCompletionFinishReason], PlainValidator(validate_open_enum(False))
]
index: float
logprobs: OptionalNullable[ChatMessageTokenLogprobs] = UNSET
@model_serializer(mode="wrap")
def serialize_model(self, handler):
optional_fields = ["logprobs"]
nullable_fields = ["finish_reason", "logprobs"]
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
src/openrouter/components/chatstreamingchoice.py
-72
View File
@@ -1,72 +0,0 @@
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
from __future__ import annotations
from .chatcompletionfinishreason import ChatCompletionFinishReason
from .chatmessagetokenlogprobs import (
ChatMessageTokenLogprobs,
ChatMessageTokenLogprobsTypedDict,
)
from .chatstreamingmessagechunk import (
ChatStreamingMessageChunk,
ChatStreamingMessageChunkTypedDict,
)
from openrouter.types import (
BaseModel,
Nullable,
OptionalNullable,
UNSET,
UNSET_SENTINEL,
)
from openrouter.utils import validate_open_enum
from pydantic import model_serializer
from pydantic.functional_validators import PlainValidator
from typing_extensions import Annotated, NotRequired, TypedDict
class ChatStreamingChoiceTypedDict(TypedDict):
delta: ChatStreamingMessageChunkTypedDict
finish_reason: Nullable[ChatCompletionFinishReason]
index: float
logprobs: NotRequired[Nullable[ChatMessageTokenLogprobsTypedDict]]
class ChatStreamingChoice(BaseModel):
delta: ChatStreamingMessageChunk
finish_reason: Annotated[
Nullable[ChatCompletionFinishReason], PlainValidator(validate_open_enum(False))
]
index: float
logprobs: OptionalNullable[ChatMessageTokenLogprobs] = UNSET
@model_serializer(mode="wrap")
def serialize_model(self, handler):
optional_fields = ["logprobs"]
nullable_fields = ["finish_reason", "logprobs"]
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
src/openrouter/components/chatstreamingresponsechunk.py
+1 -1
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@@ -5,7 +5,7 @@ from .chatgenerationtokenusage import (
ChatGenerationTokenUsage,
ChatGenerationTokenUsageTypedDict,
)
from .chatstreamingchoice import ChatStreamingChoice, ChatStreamingChoiceTypedDict
from .chatresponsechoice import ChatStreamingChoice, ChatStreamingChoiceTypedDict
from openrouter.types import (
BaseModel,
Nullable,
src/openrouter/components/datacollection.py
+19
View File
@@ -0,0 +1,19 @@
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
from __future__ import annotations
from openrouter.types import UnrecognizedStr
from typing import Literal, Union
DataCollection = Union[
Literal[
"deny",
"allow",
],
UnrecognizedStr,
]
r"""Data collection setting. If no available model provider meets the requirement, your request will return an error.
- allow: (default) allow providers which store user data non-transiently and may train on it
- deny: use only providers which do not collect user data.
"""
src/openrouter/components/openairesponsesreasoningeffort.py
+1
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@@ -11,6 +11,7 @@ OpenAIResponsesReasoningEffort = Union[
"medium",
"low",
"minimal",
"none",
],
UnrecognizedStr,
]
src/openrouter/components/openresponsesreasoning.py
+1
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@@ -57,6 +57,7 @@ OpenResponsesReasoningFormat = Union[
"openai-responses-v1",
"xai-responses-v1",
"anthropic-claude-v1",
"google-gemini-v1",
],
UnrecognizedStr,
]
src/openrouter/components/openresponsesrequest.py
+6 -29
View File
@@ -1,6 +1,7 @@
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
from __future__ import annotations
from .datacollection import DataCollection
from .openairesponsesincludable import OpenAIResponsesIncludable
from .openairesponsesprompt import OpenAIResponsesPrompt, OpenAIResponsesPromptTypedDict
from .openairesponsestoolchoice_union import (
@@ -33,6 +34,7 @@ from .openresponseswebsearchtool import (
OpenResponsesWebSearchToolTypedDict,
)
from .providername import ProviderName
from .providersort import ProviderSort
from .quantization import Quantization
from openrouter.types import (
BaseModel,
@@ -151,20 +153,6 @@ Truncation = Union[
]
DataCollection = Union[
Literal[
"deny",
"allow",
],
UnrecognizedStr,
]
r"""Data collection setting. If no available model provider meets the requirement, your request will return an error.
- allow: (default) allow providers which store user data non-transiently and may train on it
- deny: use only providers which do not collect user data.
"""
OrderTypedDict = TypeAliasType("OrderTypedDict", Union[ProviderName, str])
@@ -192,17 +180,6 @@ Ignore = TypeAliasType(
)
Sort = Union[
Literal[
"price",
"throughput",
"latency",
],
UnrecognizedStr,
]
r"""The sorting strategy to use for this request, if \"order\" is not specified. When set, no load balancing is performed."""
class MaxPriceTypedDict(TypedDict):
r"""The object specifying the maximum price you want to pay for this request. USD price per million tokens, for prompt and completion."""
@@ -251,8 +228,8 @@ class ProviderTypedDict(TypedDict):
data_collection: NotRequired[Nullable[DataCollection]]
r"""Data collection setting. If no available model provider meets the requirement, your request will return an error.
- allow: (default) allow providers which store user data non-transiently and may train on it
- deny: use only providers which do not collect user data.
- deny: use only providers which do not collect user data.
"""
zdr: NotRequired[Nullable[bool]]
r"""Whether to restrict routing to only ZDR (Zero Data Retention) endpoints. When true, only endpoints that do not retain prompts will be used."""
@@ -266,7 +243,7 @@ class ProviderTypedDict(TypedDict):
r"""List of provider slugs to ignore. If provided, this list is merged with your account-wide ignored provider settings for this request."""
quantizations: NotRequired[Nullable[List[Quantization]]]
r"""A list of quantization levels to filter the provider by."""
sort: NotRequired[Nullable[Sort]]
sort: NotRequired[Nullable[ProviderSort]]
r"""The sorting strategy to use for this request, if \"order\" is not specified. When set, no load balancing is performed."""
max_price: NotRequired[MaxPriceTypedDict]
r"""The object specifying the maximum price you want to pay for this request. USD price per million tokens, for prompt and completion."""
@@ -290,8 +267,8 @@ class Provider(BaseModel):
] = UNSET
r"""Data collection setting. If no available model provider meets the requirement, your request will return an error.
- allow: (default) allow providers which store user data non-transiently and may train on it
- deny: use only providers which do not collect user data.
- deny: use only providers which do not collect user data.
"""
zdr: OptionalNullable[bool] = UNSET
@@ -315,7 +292,7 @@ class Provider(BaseModel):
r"""A list of quantization levels to filter the provider by."""
sort: Annotated[
OptionalNullable[Sort], PlainValidator(validate_open_enum(False))
OptionalNullable[ProviderSort], PlainValidator(validate_open_enum(False))
] = UNSET
r"""The sorting strategy to use for this request, if \"order\" is not specified. When set, no load balancing is performed."""
src/openrouter/components/providername.py
+2 -26
View File
@@ -7,44 +7,26 @@ from typing import Literal, Union
ProviderName = Union[
Literal[
"AnyScale",
"Cent-ML",
"HuggingFace",
"Hyperbolic 2",
"Lepton",
"Lynn 2",
"Lynn",
"Mancer",
"Modal",
"OctoAI",
"Recursal",
"Reflection",
"Replicate",
"SambaNova 2",
"SF Compute",
"Together 2",
"01.AI",
"AI21",
"AionLabs",
"Alibaba",
"Amazon Bedrock",
"Anthropic",
"Arcee",
"AtlasCloud",
"Atoma",
"Avian",
"Azure",
"BaseTen",
"Black Forest Labs",
"Cerebras",
"Chutes",
"Cirrascale",
"Clarifai",
"Cloudflare",
"Cohere",
"CrofAI",
"Crusoe",
"DeepInfra",
"DeepSeek",
"Enfer",
"Featherless",
"Fireworks",
"Friendli",
@@ -57,12 +39,8 @@ ProviderName = Union[
"InferenceNet",
"Infermatic",
"Inflection",
"InoCloud",
"Kluster",
"Lambda",
"Liquid",
"Mancer 2",
"Meta",
"Minimax",
"ModelRun",
"Mistral",
@@ -72,7 +50,6 @@ ProviderName = Union[
"NCompass",
"Nebius",
"NextBit",
"Nineteen",
"Novita",
"Nvidia",
"OpenAI",
@@ -87,7 +64,6 @@ ProviderName = Union[
"Switchpoint",
"Targon",
"Together",
"Ubicloud",
"Venice",
"WandB",
"xAI",
src/openrouter/components/chatcompletionfinishreason.py → src/openrouter/components/providersort.py
+5 -6
View File
@@ -5,13 +5,12 @@ from openrouter.types import UnrecognizedStr
from typing import Literal, Union
ChatCompletionFinishReason = Union[
ProviderSort = Union[
Literal[
"tool_calls",
"stop",
"length",
"content_filter",
"error",
"price",
"throughput",
"latency",
],
UnrecognizedStr,
]
r"""The sorting strategy to use for this request, if \"order\" is not specified. When set, no load balancing is performed."""
src/openrouter/components/publicendpoint.py
+5
View File
@@ -21,6 +21,8 @@ class PricingTypedDict(TypedDict):
r"""A value in string or number format that is a large number"""
image: NotRequired[Any]
r"""A value in string or number format that is a large number"""
image_token: NotRequired[Any]
r"""A value in string or number format that is a large number"""
image_output: NotRequired[Any]
r"""A value in string or number format that is a large number"""
audio: NotRequired[Any]
@@ -51,6 +53,9 @@ class Pricing(BaseModel):
image: Optional[Any] = None
r"""A value in string or number format that is a large number"""
image_token: Optional[Any] = None
r"""A value in string or number format that is a large number"""
image_output: Optional[Any] = None
r"""A value in string or number format that is a large number"""
src/openrouter/components/publicpricing.py
+5
View File
@@ -17,6 +17,8 @@ class PublicPricingTypedDict(TypedDict):
r"""A value in string or number format that is a large number"""
image: NotRequired[Any]
r"""A value in string or number format that is a large number"""
image_token: NotRequired[Any]
r"""A value in string or number format that is a large number"""
image_output: NotRequired[Any]
r"""A value in string or number format that is a large number"""
audio: NotRequired[Any]
@@ -49,6 +51,9 @@ class PublicPricing(BaseModel):
image: Optional[Any] = None
r"""A value in string or number format that is a large number"""
image_token: Optional[Any] = None
r"""A value in string or number format that is a large number"""
image_output: Optional[Any] = None
r"""A value in string or number format that is a large number"""
src/openrouter/embeddings.py
+26 -18
View File
@@ -21,18 +21,18 @@ class Embeddings(BaseSDK):
def generate(
self,
*,
input: Union[operations.Input, operations.InputTypedDict],
input: Union[operations.InputUnion, operations.InputUnionTypedDict],
model: str,
encoding_format: Optional[operations.EncodingFormat] = None,
dimensions: Optional[int] = None,
user: Optional[str] = None,
provider: Optional[
Union[
operations.CreateEmbeddingsProvider,
operations.CreateEmbeddingsProviderTypedDict,
]
] = None,
encoding_format: Optional[
Union[operations.EncodingFormat, operations.EncodingFormatTypedDict]
] = None,
user: Optional[str] = None,
input_type: Optional[str] = None,
retries: OptionalNullable[utils.RetryConfig] = UNSET,
server_url: Optional[str] = None,
timeout_ms: Optional[int] = None,
@@ -45,9 +45,11 @@ class Embeddings(BaseSDK):
:param input:
:param model:
:param provider:
:param encoding_format:
:param dimensions:
:param user:
:param provider:
:param input_type:
:param retries: Override the default retry configuration for this method
:param server_url: Override the default server URL for this method
:param timeout_ms: Override the default request timeout configuration for this method in milliseconds
@@ -65,13 +67,15 @@ class Embeddings(BaseSDK):
base_url = self._get_url(base_url, url_variables)
request = operations.CreateEmbeddingsRequest(
input=input,
input=utils.get_pydantic_model(input, operations.InputUnion),
model=model,
encoding_format=encoding_format,
dimensions=dimensions,
user=user,
provider=utils.get_pydantic_model(
provider, Optional[operations.CreateEmbeddingsProvider]
),
encoding_format=encoding_format,
user=user,
input_type=input_type,
)
req = self._build_request(
@@ -204,18 +208,18 @@ class Embeddings(BaseSDK):
async def generate_async(
self,
*,
input: Union[operations.Input, operations.InputTypedDict],
input: Union[operations.InputUnion, operations.InputUnionTypedDict],
model: str,
encoding_format: Optional[operations.EncodingFormat] = None,
dimensions: Optional[int] = None,
user: Optional[str] = None,
provider: Optional[
Union[
operations.CreateEmbeddingsProvider,
operations.CreateEmbeddingsProviderTypedDict,
]
] = None,
encoding_format: Optional[
Union[operations.EncodingFormat, operations.EncodingFormatTypedDict]
] = None,
user: Optional[str] = None,
input_type: Optional[str] = None,
retries: OptionalNullable[utils.RetryConfig] = UNSET,
server_url: Optional[str] = None,
timeout_ms: Optional[int] = None,
@@ -228,9 +232,11 @@ class Embeddings(BaseSDK):
:param input:
:param model:
:param provider:
:param encoding_format:
:param dimensions:
:param user:
:param provider:
:param input_type:
:param retries: Override the default retry configuration for this method
:param server_url: Override the default server URL for this method
:param timeout_ms: Override the default request timeout configuration for this method in milliseconds
@@ -248,13 +254,15 @@ class Embeddings(BaseSDK):
base_url = self._get_url(base_url, url_variables)
request = operations.CreateEmbeddingsRequest(
input=input,
input=utils.get_pydantic_model(input, operations.InputUnion),
model=model,
encoding_format=encoding_format,
dimensions=dimensions,
user=user,
provider=utils.get_pydantic_model(
provider, Optional[operations.CreateEmbeddingsProvider]
),
encoding_format=encoding_format,
user=user,
input_type=input_type,
)
req = self._build_request_async(
src/openrouter/operations/__init__.py
+36 -15
View File
@@ -32,6 +32,12 @@ if TYPE_CHECKING:
Web3DataTypedDict,
)
from .createembeddings import (
Content,
ContentImageURL,
ContentImageURLTypedDict,
ContentText,
ContentTextTypedDict,
ContentTypedDict,
CreateEmbeddingsData,
CreateEmbeddingsDataTypedDict,
CreateEmbeddingsProvider,
@@ -42,17 +48,17 @@ if TYPE_CHECKING:
CreateEmbeddingsResponseBody,
CreateEmbeddingsResponseBodyTypedDict,
CreateEmbeddingsResponseTypedDict,
DataCollection,
Embedding,
EmbeddingTypedDict,
EncodingFormat,
EncodingFormatBase64,
EncodingFormatFloat,
EncodingFormatTypedDict,
Ignore,
IgnoreTypedDict,
ImageURL,
ImageURLTypedDict,
Input,
InputTypedDict,
InputUnion,
InputUnionTypedDict,
MaxPrice,
MaxPriceTypedDict,
Object,
@@ -61,7 +67,8 @@ if TYPE_CHECKING:
OnlyTypedDict,
Order,
OrderTypedDict,
Sort,
TypeImageURL,
TypeText,
Usage,
UsageTypedDict,
)
@@ -183,6 +190,12 @@ __all__ = [
"APIType",
"CallData",
"CallDataTypedDict",
"Content",
"ContentImageURL",
"ContentImageURLTypedDict",
"ContentText",
"ContentTextTypedDict",
"ContentTypedDict",
"CreateAuthKeysCodeCodeChallengeMethod",
"CreateAuthKeysCodeData",
"CreateAuthKeysCodeDataTypedDict",
@@ -217,7 +230,6 @@ __all__ = [
"CreateResponsesResponseBody",
"CreateResponsesResponseBodyTypedDict",
"CreateResponsesResponseTypedDict",
"DataCollection",
"DeleteKeysRequest",
"DeleteKeysRequestTypedDict",
"DeleteKeysResponse",
@@ -225,9 +237,6 @@ __all__ = [
"Embedding",
"EmbeddingTypedDict",
"EncodingFormat",
"EncodingFormatBase64",
"EncodingFormatFloat",
"EncodingFormatTypedDict",
"ExchangeAuthCodeForAPIKeyCodeChallengeMethod",
"ExchangeAuthCodeForAPIKeyRequest",
"ExchangeAuthCodeForAPIKeyRequestTypedDict",
@@ -268,8 +277,12 @@ __all__ = [
"GetUserActivityResponseTypedDict",
"Ignore",
"IgnoreTypedDict",
"ImageURL",
"ImageURLTypedDict",
"Input",
"InputTypedDict",
"InputUnion",
"InputUnionTypedDict",
"ListData",
"ListDataTypedDict",
"ListEndpointsRequest",
@@ -302,10 +315,11 @@ __all__ = [
"RateLimitTypedDict",
"SendChatCompletionRequestResponse",
"SendChatCompletionRequestResponseTypedDict",
"Sort",
"SupportedParameter",
"TransferIntent",
"TransferIntentTypedDict",
"TypeImageURL",
"TypeText",
"UpdateKeysData",
"UpdateKeysDataTypedDict",
"UpdateKeysLimitReset",
@@ -343,6 +357,12 @@ _dynamic_imports: dict[str, str] = {
"TransferIntentTypedDict": ".createcoinbasecharge",
"Web3Data": ".createcoinbasecharge",
"Web3DataTypedDict": ".createcoinbasecharge",
"Content": ".createembeddings",
"ContentImageURL": ".createembeddings",
"ContentImageURLTypedDict": ".createembeddings",
"ContentText": ".createembeddings",
"ContentTextTypedDict": ".createembeddings",
"ContentTypedDict": ".createembeddings",
"CreateEmbeddingsData": ".createembeddings",
"CreateEmbeddingsDataTypedDict": ".createembeddings",
"CreateEmbeddingsProvider": ".createembeddings",
@@ -353,17 +373,17 @@ _dynamic_imports: dict[str, str] = {
"CreateEmbeddingsResponseBody": ".createembeddings",
"CreateEmbeddingsResponseBodyTypedDict": ".createembeddings",
"CreateEmbeddingsResponseTypedDict": ".createembeddings",
"DataCollection": ".createembeddings",
"Embedding": ".createembeddings",
"EmbeddingTypedDict": ".createembeddings",
"EncodingFormat": ".createembeddings",
"EncodingFormatBase64": ".createembeddings",
"EncodingFormatFloat": ".createembeddings",
"EncodingFormatTypedDict": ".createembeddings",
"Ignore": ".createembeddings",
"IgnoreTypedDict": ".createembeddings",
"ImageURL": ".createembeddings",
"ImageURLTypedDict": ".createembeddings",
"Input": ".createembeddings",
"InputTypedDict": ".createembeddings",
"InputUnion": ".createembeddings",
"InputUnionTypedDict": ".createembeddings",
"MaxPrice": ".createembeddings",
"MaxPriceTypedDict": ".createembeddings",
"Object": ".createembeddings",
@@ -372,7 +392,8 @@ _dynamic_imports: dict[str, str] = {
"OnlyTypedDict": ".createembeddings",
"Order": ".createembeddings",
"OrderTypedDict": ".createembeddings",
"Sort": ".createembeddings",
"TypeImageURL": ".createembeddings",
"TypeText": ".createembeddings",
"Usage": ".createembeddings",
"UsageTypedDict": ".createembeddings",
"CreateKeysData": ".createkeys",
src/openrouter/operations/createembeddings.py
+85 -50
View File
@@ -2,7 +2,9 @@
from __future__ import annotations
from openrouter.components import (
datacollection as components_datacollection,
providername as components_providername,
providersort as components_providersort,
quantization as components_quantization,
)
from openrouter.types import (
@@ -20,26 +22,76 @@ from typing import Any, List, Literal, Optional, Union
from typing_extensions import Annotated, NotRequired, TypeAliasType, TypedDict
InputTypedDict = TypeAliasType(
"InputTypedDict", Union[str, List[str], List[float], List[List[float]]]
TypeImageURL = Literal["image_url",]
class ImageURLTypedDict(TypedDict):
url: str
class ImageURL(BaseModel):
url: str
class ContentImageURLTypedDict(TypedDict):
type: TypeImageURL
image_url: ImageURLTypedDict
class ContentImageURL(BaseModel):
type: TypeImageURL
image_url: ImageURL
TypeText = Literal["text",]
class ContentTextTypedDict(TypedDict):
type: TypeText
text: str
class ContentText(BaseModel):
type: TypeText
text: str
ContentTypedDict = TypeAliasType(
"ContentTypedDict", Union[ContentTextTypedDict, ContentImageURLTypedDict]
)
Input = TypeAliasType("Input", Union[str, List[str], List[float], List[List[float]]])
Content = TypeAliasType("Content", Union[ContentText, ContentImageURL])
DataCollection = Union[
class InputTypedDict(TypedDict):
content: List[ContentTypedDict]
class Input(BaseModel):
content: List[Content]
InputUnionTypedDict = TypeAliasType(
"InputUnionTypedDict",
Union[str, List[str], List[float], List[List[float]], List[InputTypedDict]],
)
InputUnion = TypeAliasType(
"InputUnion", Union[str, List[str], List[float], List[List[float]], List[Input]]
)
EncodingFormat = Union[
Literal[
"deny",
"allow",
"float",
"base64",
],
UnrecognizedStr,
]
r"""Data collection setting. If no available model provider meets the requirement, your request will return an error.
- allow: (default) allow providers which store user data non-transiently and may train on it
- deny: use only providers which do not collect user data.
"""
OrderTypedDict = TypeAliasType(
@@ -93,17 +145,6 @@ Ignore = TypeAliasType(
)
Sort = Union[
Literal[
"price",
"throughput",
"latency",
],
UnrecognizedStr,
]
r"""The sorting strategy to use for this request, if \"order\" is not specified. When set, no load balancing is performed."""
class MaxPriceTypedDict(TypedDict):
r"""The object specifying the maximum price you want to pay for this request. USD price per million tokens, for prompt and completion."""
@@ -147,11 +188,11 @@ class CreateEmbeddingsProviderTypedDict(TypedDict):
"""
require_parameters: NotRequired[Nullable[bool]]
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."""
data_collection: NotRequired[Nullable[DataCollection]]
data_collection: NotRequired[Nullable[components_datacollection.DataCollection]]
r"""Data collection setting. If no available model provider meets the requirement, your request will return an error.
- allow: (default) allow providers which store user data non-transiently and may train on it
- deny: use only providers which do not collect user data.
- deny: use only providers which do not collect user data.
"""
zdr: NotRequired[Nullable[bool]]
r"""Whether to restrict routing to only ZDR (Zero Data Retention) endpoints. When true, only endpoints that do not retain prompts will be used."""
@@ -165,7 +206,7 @@ class CreateEmbeddingsProviderTypedDict(TypedDict):
r"""List of provider slugs to ignore. If provided, this list is merged with your account-wide ignored provider settings for this request."""
quantizations: NotRequired[Nullable[List[components_quantization.Quantization]]]
r"""A list of quantization levels to filter the provider by."""
sort: NotRequired[Nullable[Sort]]
sort: NotRequired[Nullable[components_providersort.ProviderSort]]
r"""The sorting strategy to use for this request, if \"order\" is not specified. When set, no load balancing is performed."""
max_price: NotRequired[MaxPriceTypedDict]
r"""The object specifying the maximum price you want to pay for this request. USD price per million tokens, for prompt and completion."""
@@ -183,12 +224,13 @@ class CreateEmbeddingsProvider(BaseModel):
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."""
data_collection: Annotated[
OptionalNullable[DataCollection], PlainValidator(validate_open_enum(False))
OptionalNullable[components_datacollection.DataCollection],
PlainValidator(validate_open_enum(False)),
] = UNSET
r"""Data collection setting. If no available model provider meets the requirement, your request will return an error.
- allow: (default) allow providers which store user data non-transiently and may train on it
- deny: use only providers which do not collect user data.
- deny: use only providers which do not collect user data.
"""
zdr: OptionalNullable[bool] = UNSET
@@ -217,7 +259,8 @@ class CreateEmbeddingsProvider(BaseModel):
r"""A list of quantization levels to filter the provider by."""
sort: Annotated[
OptionalNullable[Sort], PlainValidator(validate_open_enum(False))
OptionalNullable[components_providersort.ProviderSort],
PlainValidator(validate_open_enum(False)),
] = UNSET
r"""The sorting strategy to use for this request, if \"order\" is not specified. When set, no load balancing is performed."""
@@ -278,41 +321,33 @@ class CreateEmbeddingsProvider(BaseModel):
return m
EncodingFormatBase64 = Literal["base64",]
EncodingFormatFloat = Literal["float",]
EncodingFormatTypedDict = TypeAliasType(
"EncodingFormatTypedDict", Union[EncodingFormatFloat, EncodingFormatBase64]
)
EncodingFormat = TypeAliasType(
"EncodingFormat", Union[EncodingFormatFloat, EncodingFormatBase64]
)
class CreateEmbeddingsRequestTypedDict(TypedDict):
input: InputTypedDict
input: InputUnionTypedDict
model: str
provider: NotRequired[CreateEmbeddingsProviderTypedDict]
encoding_format: NotRequired[EncodingFormatTypedDict]
encoding_format: NotRequired[EncodingFormat]
dimensions: NotRequired[int]
user: NotRequired[str]
provider: NotRequired[CreateEmbeddingsProviderTypedDict]
input_type: NotRequired[str]
class CreateEmbeddingsRequest(BaseModel):
input: Input
input: InputUnion
model: str
provider: Optional[CreateEmbeddingsProvider] = None
encoding_format: Annotated[
Optional[EncodingFormat], PlainValidator(validate_open_enum(False))
] = None
encoding_format: Optional[EncodingFormat] = None
dimensions: Optional[int] = None
user: Optional[str] = None
provider: Optional[CreateEmbeddingsProvider] = None
input_type: Optional[str] = None
Object = Literal["list",]
src/openrouter/operations/getparameters.py
+2 -8
View File
@@ -39,22 +39,21 @@ GetParametersProvider = Union[
"Alibaba",
"Amazon Bedrock",
"Anthropic",
"Arcee",
"AtlasCloud",
"Atoma",
"Avian",
"Azure",
"BaseTen",
"Black Forest Labs",
"Cerebras",
"Chutes",
"Cirrascale",
"Clarifai",
"Cloudflare",
"Cohere",
"CrofAI",
"Crusoe",
"DeepInfra",
"DeepSeek",
"Enfer",
"Featherless",
"Fireworks",
"Friendli",
@@ -67,11 +66,8 @@ GetParametersProvider = Union[
"InferenceNet",
"Infermatic",
"Inflection",
"Kluster",
"Lambda",
"Liquid",
"Mancer 2",
"Meta",
"Minimax",
"ModelRun",
"Mistral",
@@ -81,7 +77,6 @@ GetParametersProvider = Union[
"NCompass",
"Nebius",
"NextBit",
"Nineteen",
"Novita",
"Nvidia",
"OpenAI",
@@ -96,7 +91,6 @@ GetParametersProvider = Union[
"Switchpoint",
"Targon",
"Together",
"Ubicloud",
"Venice",
"WandB",
"xAI",