chore: 🐝 Update SDK - Generate 0.10.1 (#366)

Co-authored-by: speakeasybot <bot@speakeasyapi.dev>
Co-authored-by: speakeasy-github[bot] <128539517+speakeasy-github[bot]@users.noreply.github.com>
This commit is contained in:
github-actions[bot]
2026-06-25 22:01:36 +00:00
committed by GitHub
co-authored by speakeasybot speakeasy-github[bot] <128539517+speakeasy-github[bot]@users.noreply.github.com>
parent 667941aaa8
commit 5e0b1a2b69
96 changed files with 8765 additions and 2021 deletions
+91 -28
View File
@@ -81,6 +81,8 @@ if TYPE_CHECKING:
ContentText,
ContentTextTypedDict,
ContentTypedDict,
CostDetails,
CostDetailsTypedDict,
CreateEmbeddingsData,
CreateEmbeddingsDataTypedDict,
CreateEmbeddingsGlobals,
@@ -117,6 +119,14 @@ if TYPE_CHECKING:
CreateGuardrailRequest,
CreateGuardrailRequestTypedDict,
)
from .createimages import (
CreateImagesGlobals,
CreateImagesGlobalsTypedDict,
CreateImagesRequest,
CreateImagesRequestTypedDict,
CreateImagesResponse,
CreateImagesResponseTypedDict,
)
from .createkeys import (
CreateKeysData,
CreateKeysDataTypedDict,
@@ -290,18 +300,14 @@ if TYPE_CHECKING:
GetAppRankingsSort,
Subcategory,
)
from .getbenchmarksartificialanalysis import (
GetBenchmarksArtificialAnalysisGlobals,
GetBenchmarksArtificialAnalysisGlobalsTypedDict,
GetBenchmarksArtificialAnalysisRequest,
GetBenchmarksArtificialAnalysisRequestTypedDict,
)
from .getbenchmarksdesignarena import (
from .getbenchmarks import (
Arena,
GetBenchmarksDesignArenaGlobals,
GetBenchmarksDesignArenaGlobalsTypedDict,
GetBenchmarksDesignArenaRequest,
GetBenchmarksDesignArenaRequestTypedDict,
GetBenchmarksGlobals,
GetBenchmarksGlobalsTypedDict,
GetBenchmarksRequest,
GetBenchmarksRequestTypedDict,
Source,
TaskType,
)
from .getbyokkey import (
GetBYOKKeyGlobals,
@@ -400,6 +406,13 @@ if TYPE_CHECKING:
GetRankingsDailyRequest,
GetRankingsDailyRequestTypedDict,
)
from .gettaskclassifications import (
GetTaskClassificationsGlobals,
GetTaskClassificationsGlobalsTypedDict,
GetTaskClassificationsRequest,
GetTaskClassificationsRequestTypedDict,
Window,
)
from .getuseractivity import (
GetUserActivityGlobals,
GetUserActivityGlobalsTypedDict,
@@ -497,6 +510,18 @@ if TYPE_CHECKING:
ListGuardrailsResponse,
ListGuardrailsResponseTypedDict,
)
from .listimagemodelendpoints import (
ListImageModelEndpointsGlobals,
ListImageModelEndpointsGlobalsTypedDict,
ListImageModelEndpointsRequest,
ListImageModelEndpointsRequestTypedDict,
)
from .listimagemodels import (
ListImageModelsGlobals,
ListImageModelsGlobalsTypedDict,
ListImageModelsRequest,
ListImageModelsRequestTypedDict,
)
from .listkeyassignments import (
ListKeyAssignmentsGlobals,
ListKeyAssignmentsGlobalsTypedDict,
@@ -723,6 +748,8 @@ __all__ = [
"ContentText",
"ContentTextTypedDict",
"ContentTypedDict",
"CostDetails",
"CostDetailsTypedDict",
"CreateAudioSpeechGlobals",
"CreateAudioSpeechGlobalsTypedDict",
"CreateAudioSpeechRequest",
@@ -764,6 +791,12 @@ __all__ = [
"CreateGuardrailGlobalsTypedDict",
"CreateGuardrailRequest",
"CreateGuardrailRequestTypedDict",
"CreateImagesGlobals",
"CreateImagesGlobalsTypedDict",
"CreateImagesRequest",
"CreateImagesRequestTypedDict",
"CreateImagesResponse",
"CreateImagesResponseTypedDict",
"CreateKeysData",
"CreateKeysDataTypedDict",
"CreateKeysGlobals",
@@ -899,14 +932,10 @@ __all__ = [
"GetBYOKKeyGlobalsTypedDict",
"GetBYOKKeyRequest",
"GetBYOKKeyRequestTypedDict",
"GetBenchmarksArtificialAnalysisGlobals",
"GetBenchmarksArtificialAnalysisGlobalsTypedDict",
"GetBenchmarksArtificialAnalysisRequest",
"GetBenchmarksArtificialAnalysisRequestTypedDict",
"GetBenchmarksDesignArenaGlobals",
"GetBenchmarksDesignArenaGlobalsTypedDict",
"GetBenchmarksDesignArenaRequest",
"GetBenchmarksDesignArenaRequestTypedDict",
"GetBenchmarksGlobals",
"GetBenchmarksGlobalsTypedDict",
"GetBenchmarksRequest",
"GetBenchmarksRequestTypedDict",
"GetCreditsData",
"GetCreditsDataTypedDict",
"GetCreditsGlobals",
@@ -969,6 +998,10 @@ __all__ = [
"GetRankingsDailyGlobalsTypedDict",
"GetRankingsDailyRequest",
"GetRankingsDailyRequestTypedDict",
"GetTaskClassificationsGlobals",
"GetTaskClassificationsGlobalsTypedDict",
"GetTaskClassificationsRequest",
"GetTaskClassificationsRequestTypedDict",
"GetUserActivityGlobals",
"GetUserActivityGlobalsTypedDict",
"GetUserActivityRequest",
@@ -1045,6 +1078,14 @@ __all__ = [
"ListGuardrailsRequestTypedDict",
"ListGuardrailsResponse",
"ListGuardrailsResponseTypedDict",
"ListImageModelEndpointsGlobals",
"ListImageModelEndpointsGlobalsTypedDict",
"ListImageModelEndpointsRequest",
"ListImageModelEndpointsRequestTypedDict",
"ListImageModelsGlobals",
"ListImageModelsGlobalsTypedDict",
"ListImageModelsRequest",
"ListImageModelsRequestTypedDict",
"ListKeyAssignmentsGlobals",
"ListKeyAssignmentsGlobalsTypedDict",
"ListKeyAssignmentsRequest",
@@ -1163,7 +1204,9 @@ __all__ = [
"SendChatCompletionRequestRequestTypedDict",
"SendChatCompletionRequestResponse",
"SendChatCompletionRequestResponseTypedDict",
"Source",
"Subcategory",
"TaskType",
"TimeRange",
"TimeRangeTypedDict",
"TypeImageURL",
@@ -1211,6 +1254,7 @@ __all__ = [
"Value2",
"Value2TypedDict",
"ValueType",
"Window",
"Zdr",
]
@@ -1269,6 +1313,8 @@ _dynamic_imports: dict[str, str] = {
"ContentText": ".createembeddings",
"ContentTextTypedDict": ".createembeddings",
"ContentTypedDict": ".createembeddings",
"CostDetails": ".createembeddings",
"CostDetailsTypedDict": ".createembeddings",
"CreateEmbeddingsData": ".createembeddings",
"CreateEmbeddingsDataTypedDict": ".createembeddings",
"CreateEmbeddingsGlobals": ".createembeddings",
@@ -1302,6 +1348,12 @@ _dynamic_imports: dict[str, str] = {
"CreateGuardrailGlobalsTypedDict": ".createguardrail",
"CreateGuardrailRequest": ".createguardrail",
"CreateGuardrailRequestTypedDict": ".createguardrail",
"CreateImagesGlobals": ".createimages",
"CreateImagesGlobalsTypedDict": ".createimages",
"CreateImagesRequest": ".createimages",
"CreateImagesRequestTypedDict": ".createimages",
"CreateImagesResponse": ".createimages",
"CreateImagesResponseTypedDict": ".createimages",
"CreateKeysData": ".createkeys",
"CreateKeysDataTypedDict": ".createkeys",
"CreateKeysGlobals": ".createkeys",
@@ -1435,15 +1487,13 @@ _dynamic_imports: dict[str, str] = {
"GetAppRankingsResponseTypedDict": ".getapprankings",
"GetAppRankingsSort": ".getapprankings",
"Subcategory": ".getapprankings",
"GetBenchmarksArtificialAnalysisGlobals": ".getbenchmarksartificialanalysis",
"GetBenchmarksArtificialAnalysisGlobalsTypedDict": ".getbenchmarksartificialanalysis",
"GetBenchmarksArtificialAnalysisRequest": ".getbenchmarksartificialanalysis",
"GetBenchmarksArtificialAnalysisRequestTypedDict": ".getbenchmarksartificialanalysis",
"Arena": ".getbenchmarksdesignarena",
"GetBenchmarksDesignArenaGlobals": ".getbenchmarksdesignarena",
"GetBenchmarksDesignArenaGlobalsTypedDict": ".getbenchmarksdesignarena",
"GetBenchmarksDesignArenaRequest": ".getbenchmarksdesignarena",
"GetBenchmarksDesignArenaRequestTypedDict": ".getbenchmarksdesignarena",
"Arena": ".getbenchmarks",
"GetBenchmarksGlobals": ".getbenchmarks",
"GetBenchmarksGlobalsTypedDict": ".getbenchmarks",
"GetBenchmarksRequest": ".getbenchmarks",
"GetBenchmarksRequestTypedDict": ".getbenchmarks",
"Source": ".getbenchmarks",
"TaskType": ".getbenchmarks",
"GetBYOKKeyGlobals": ".getbyokkey",
"GetBYOKKeyGlobalsTypedDict": ".getbyokkey",
"GetBYOKKeyRequest": ".getbyokkey",
@@ -1515,6 +1565,11 @@ _dynamic_imports: dict[str, str] = {
"GetRankingsDailyGlobalsTypedDict": ".getrankingsdaily",
"GetRankingsDailyRequest": ".getrankingsdaily",
"GetRankingsDailyRequestTypedDict": ".getrankingsdaily",
"GetTaskClassificationsGlobals": ".gettaskclassifications",
"GetTaskClassificationsGlobalsTypedDict": ".gettaskclassifications",
"GetTaskClassificationsRequest": ".gettaskclassifications",
"GetTaskClassificationsRequestTypedDict": ".gettaskclassifications",
"Window": ".gettaskclassifications",
"GetUserActivityGlobals": ".getuseractivity",
"GetUserActivityGlobalsTypedDict": ".getuseractivity",
"GetUserActivityRequest": ".getuseractivity",
@@ -1586,6 +1641,14 @@ _dynamic_imports: dict[str, str] = {
"ListGuardrailsRequestTypedDict": ".listguardrails",
"ListGuardrailsResponse": ".listguardrails",
"ListGuardrailsResponseTypedDict": ".listguardrails",
"ListImageModelEndpointsGlobals": ".listimagemodelendpoints",
"ListImageModelEndpointsGlobalsTypedDict": ".listimagemodelendpoints",
"ListImageModelEndpointsRequest": ".listimagemodelendpoints",
"ListImageModelEndpointsRequestTypedDict": ".listimagemodelendpoints",
"ListImageModelsGlobals": ".listimagemodels",
"ListImageModelsGlobalsTypedDict": ".listimagemodels",
"ListImageModelsRequest": ".listimagemodels",
"ListImageModelsRequestTypedDict": ".listimagemodels",
"ListKeyAssignmentsGlobals": ".listkeyassignments",
"ListKeyAssignmentsGlobalsTypedDict": ".listkeyassignments",
"ListKeyAssignmentsRequest": ".listkeyassignments",
@@ -344,6 +344,54 @@ class CreateEmbeddingsData(BaseModel):
Object = Literal["list",]
class CostDetailsTypedDict(TypedDict):
r"""Breakdown of upstream inference costs"""
upstream_inference_completions_cost: float
upstream_inference_prompt_cost: float
upstream_inference_cost: NotRequired[Nullable[float]]
class CostDetails(BaseModel):
r"""Breakdown of upstream inference costs"""
upstream_inference_completions_cost: float
upstream_inference_prompt_cost: float
upstream_inference_cost: OptionalNullable[float] = UNSET
@model_serializer(mode="wrap")
def serialize_model(self, handler):
optional_fields = ["upstream_inference_cost"]
nullable_fields = ["upstream_inference_cost"]
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
class PromptTokensDetailsTypedDict(TypedDict):
r"""Per-modality token breakdown. Only present when the input contains 2+ modalities (e.g. text + image) and the upstream provider returns modality-level usage data. Only non-zero modality counts are included."""
@@ -387,6 +435,10 @@ class CreateEmbeddingsUsageTypedDict(TypedDict):
r"""Total number of tokens used"""
cost: NotRequired[float]
r"""Cost of the request in credits"""
cost_details: NotRequired[Nullable[CostDetailsTypedDict]]
r"""Breakdown of upstream inference costs"""
is_byok: NotRequired[bool]
r"""Whether a request was made using a Bring Your Own Key configuration"""
prompt_tokens_details: NotRequired[PromptTokensDetailsTypedDict]
r"""Per-modality token breakdown. Only present when the input contains 2+ modalities (e.g. text + image) and the upstream provider returns modality-level usage data. Only non-zero modality counts are included."""
@@ -403,9 +455,45 @@ class CreateEmbeddingsUsage(BaseModel):
cost: Optional[float] = None
r"""Cost of the request in credits"""
cost_details: OptionalNullable[CostDetails] = UNSET
r"""Breakdown of upstream inference costs"""
is_byok: Optional[bool] = None
r"""Whether a request was made using a Bring Your Own Key configuration"""
prompt_tokens_details: Optional[PromptTokensDetails] = None
r"""Per-modality token breakdown. Only present when the input contains 2+ modalities (e.g. text + image) and the upstream provider returns modality-level usage data. Only non-zero modality counts are included."""
@model_serializer(mode="wrap")
def serialize_model(self, handler):
optional_fields = ["cost", "cost_details", "is_byok", "prompt_tokens_details"]
nullable_fields = ["cost_details"]
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
class CreateEmbeddingsResponseBodyTypedDict(TypedDict):
r"""Embeddings response containing embedding vectors"""
+150
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@@ -0,0 +1,150 @@
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
from __future__ import annotations
from openrouter.components import (
imagegenerationrequest as components_imagegenerationrequest,
imagegenerationresponse as components_imagegenerationresponse,
imagestreamingresponse as components_imagestreamingresponse,
)
from openrouter.types import BaseModel
from openrouter.utils import (
FieldMetadata,
HeaderMetadata,
RequestMetadata,
eventstreaming,
)
import pydantic
from typing import Optional, Union
from typing_extensions import Annotated, NotRequired, TypeAliasType, TypedDict
class CreateImagesGlobalsTypedDict(TypedDict):
http_referer: NotRequired[str]
r"""The app identifier should be your app's URL and is used as the primary identifier for rankings.
This is used to track API usage per application.
"""
x_open_router_title: NotRequired[str]
r"""The app display name allows you to customize how your app appears in OpenRouter's dashboard.
"""
x_open_router_categories: NotRequired[str]
r"""Comma-separated list of app categories (e.g. \"cli-agent,cloud-agent\"). Used for marketplace rankings.
"""
class CreateImagesGlobals(BaseModel):
http_referer: Annotated[
Optional[str],
pydantic.Field(alias="HTTP-Referer"),
FieldMetadata(header=HeaderMetadata(style="simple", explode=False)),
] = None
r"""The app identifier should be your app's URL and is used as the primary identifier for rankings.
This is used to track API usage per application.
"""
x_open_router_title: Annotated[
Optional[str],
pydantic.Field(alias="X-OpenRouter-Title"),
FieldMetadata(header=HeaderMetadata(style="simple", explode=False)),
] = None
r"""The app display name allows you to customize how your app appears in OpenRouter's dashboard.
"""
x_open_router_categories: Annotated[
Optional[str],
pydantic.Field(alias="X-OpenRouter-Categories"),
FieldMetadata(header=HeaderMetadata(style="simple", explode=False)),
] = None
r"""Comma-separated list of app categories (e.g. \"cli-agent,cloud-agent\"). Used for marketplace rankings.
"""
class CreateImagesRequestTypedDict(TypedDict):
image_generation_request: (
components_imagegenerationrequest.ImageGenerationRequestTypedDict
)
http_referer: NotRequired[str]
r"""The app identifier should be your app's URL and is used as the primary identifier for rankings.
This is used to track API usage per application.
"""
x_open_router_title: NotRequired[str]
r"""The app display name allows you to customize how your app appears in OpenRouter's dashboard.
"""
x_open_router_categories: NotRequired[str]
r"""Comma-separated list of app categories (e.g. \"cli-agent,cloud-agent\"). Used for marketplace rankings.
"""
class CreateImagesRequest(BaseModel):
image_generation_request: Annotated[
components_imagegenerationrequest.ImageGenerationRequest,
FieldMetadata(request=RequestMetadata(media_type="application/json")),
]
http_referer: Annotated[
Optional[str],
pydantic.Field(alias="HTTP-Referer"),
FieldMetadata(header=HeaderMetadata(style="simple", explode=False)),
] = None
r"""The app identifier should be your app's URL and is used as the primary identifier for rankings.
This is used to track API usage per application.
"""
x_open_router_title: Annotated[
Optional[str],
pydantic.Field(alias="X-OpenRouter-Title"),
FieldMetadata(header=HeaderMetadata(style="simple", explode=False)),
] = None
r"""The app display name allows you to customize how your app appears in OpenRouter's dashboard.
"""
x_open_router_categories: Annotated[
Optional[str],
pydantic.Field(alias="X-OpenRouter-Categories"),
FieldMetadata(header=HeaderMetadata(style="simple", explode=False)),
] = None
r"""Comma-separated list of app categories (e.g. \"cli-agent,cloud-agent\"). Used for marketplace rankings.
"""
CreateImagesResponseTypedDict = TypeAliasType(
"CreateImagesResponseTypedDict",
Union[
components_imagegenerationresponse.ImageGenerationResponseTypedDict,
Union[
eventstreaming.EventStream[
components_imagestreamingresponse.ImageStreamingResponseDataTypedDict
],
eventstreaming.EventStreamAsync[
components_imagestreamingresponse.ImageStreamingResponseDataTypedDict
],
],
],
)
CreateImagesResponse = TypeAliasType(
"CreateImagesResponse",
Union[
components_imagegenerationresponse.ImageGenerationResponse,
Union[
eventstreaming.EventStream[
components_imagestreamingresponse.ImageStreamingResponseData
],
eventstreaming.EventStreamAsync[
components_imagestreamingresponse.ImageStreamingResponseData
],
],
],
)
+178
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@@ -0,0 +1,178 @@
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
from __future__ import annotations
from openrouter.types import BaseModel, UnrecognizedStr
from openrouter.utils import (
FieldMetadata,
HeaderMetadata,
QueryParamMetadata,
validate_open_enum,
)
import pydantic
from pydantic.functional_validators import PlainValidator
from typing import Literal, Optional, Union
from typing_extensions import Annotated, NotRequired, TypedDict
class GetBenchmarksGlobalsTypedDict(TypedDict):
http_referer: NotRequired[str]
r"""The app identifier should be your app's URL and is used as the primary identifier for rankings.
This is used to track API usage per application.
"""
x_open_router_title: NotRequired[str]
r"""The app display name allows you to customize how your app appears in OpenRouter's dashboard.
"""
x_open_router_categories: NotRequired[str]
r"""Comma-separated list of app categories (e.g. \"cli-agent,cloud-agent\"). Used for marketplace rankings.
"""
class GetBenchmarksGlobals(BaseModel):
http_referer: Annotated[
Optional[str],
pydantic.Field(alias="HTTP-Referer"),
FieldMetadata(header=HeaderMetadata(style="simple", explode=False)),
] = None
r"""The app identifier should be your app's URL and is used as the primary identifier for rankings.
This is used to track API usage per application.
"""
x_open_router_title: Annotated[
Optional[str],
pydantic.Field(alias="X-OpenRouter-Title"),
FieldMetadata(header=HeaderMetadata(style="simple", explode=False)),
] = None
r"""The app display name allows you to customize how your app appears in OpenRouter's dashboard.
"""
x_open_router_categories: Annotated[
Optional[str],
pydantic.Field(alias="X-OpenRouter-Categories"),
FieldMetadata(header=HeaderMetadata(style="simple", explode=False)),
] = None
r"""Comma-separated list of app categories (e.g. \"cli-agent,cloud-agent\"). Used for marketplace rankings.
"""
Source = Union[
Literal[
"artificial-analysis",
"design-arena",
],
UnrecognizedStr,
]
r"""Benchmark source to query. Determines the shape of the returned items. When omitted, returns results from all sources."""
TaskType = Union[
Literal[
"coding",
"intelligence",
"agentic",
],
UnrecognizedStr,
]
r"""Filter results by task type. For Artificial Analysis, maps to the corresponding index. For Design Arena, maps to the matching category."""
Arena = Union[
Literal[
"models",
"builders",
"agents",
],
UnrecognizedStr,
]
r"""Design Arena only: arena to query. Defaults to `models` when source is `design-arena`."""
class GetBenchmarksRequestTypedDict(TypedDict):
http_referer: NotRequired[str]
r"""The app identifier should be your app's URL and is used as the primary identifier for rankings.
This is used to track API usage per application.
"""
x_open_router_title: NotRequired[str]
r"""The app display name allows you to customize how your app appears in OpenRouter's dashboard.
"""
x_open_router_categories: NotRequired[str]
r"""Comma-separated list of app categories (e.g. \"cli-agent,cloud-agent\"). Used for marketplace rankings.
"""
source: NotRequired[Source]
r"""Benchmark source to query. Determines the shape of the returned items. When omitted, returns results from all sources."""
task_type: NotRequired[TaskType]
r"""Filter results by task type. For Artificial Analysis, maps to the corresponding index. For Design Arena, maps to the matching category."""
arena: NotRequired[Arena]
r"""Design Arena only: arena to query. Defaults to `models` when source is `design-arena`."""
category: NotRequired[str]
r"""Design Arena only: category within the arena (e.g. `codecategories`, `uicomponent`, `gamedev`, `3d`, `dataviz`, `image`, `video`, `svg`). When omitted, returns all categories."""
max_results: NotRequired[int]
r"""Maximum number of items to return. When omitted, all matching results are returned."""
class GetBenchmarksRequest(BaseModel):
http_referer: Annotated[
Optional[str],
pydantic.Field(alias="HTTP-Referer"),
FieldMetadata(header=HeaderMetadata(style="simple", explode=False)),
] = None
r"""The app identifier should be your app's URL and is used as the primary identifier for rankings.
This is used to track API usage per application.
"""
x_open_router_title: Annotated[
Optional[str],
pydantic.Field(alias="X-OpenRouter-Title"),
FieldMetadata(header=HeaderMetadata(style="simple", explode=False)),
] = None
r"""The app display name allows you to customize how your app appears in OpenRouter's dashboard.
"""
x_open_router_categories: Annotated[
Optional[str],
pydantic.Field(alias="X-OpenRouter-Categories"),
FieldMetadata(header=HeaderMetadata(style="simple", explode=False)),
] = None
r"""Comma-separated list of app categories (e.g. \"cli-agent,cloud-agent\"). Used for marketplace rankings.
"""
source: Annotated[
Annotated[Optional[Source], PlainValidator(validate_open_enum(False))],
FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
] = None
r"""Benchmark source to query. Determines the shape of the returned items. When omitted, returns results from all sources."""
task_type: Annotated[
Annotated[Optional[TaskType], PlainValidator(validate_open_enum(False))],
FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
] = None
r"""Filter results by task type. For Artificial Analysis, maps to the corresponding index. For Design Arena, maps to the matching category."""
arena: Annotated[
Annotated[Optional[Arena], PlainValidator(validate_open_enum(False))],
FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
] = None
r"""Design Arena only: arena to query. Defaults to `models` when source is `design-arena`."""
category: Annotated[
Optional[str],
FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
] = None
r"""Design Arena only: category within the arena (e.g. `codecategories`, `uicomponent`, `gamedev`, `3d`, `dataviz`, `image`, `video`, `svg`). When omitted, returns all categories."""
max_results: Annotated[
Optional[int],
FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
] = None
r"""Maximum number of items to return. When omitted, all matching results are returned."""
+5 -3
View File
@@ -98,10 +98,12 @@ GetModelsSort = Union[
"context-high-to-low",
"throughput-high-to-low",
"latency-low-to-high",
"intelligence-high-to-low",
"design-arena-elo-high-to-low",
],
UnrecognizedStr,
]
r"""Sort the returned models server-side. Prefer this over fetching the full list and sorting client-side. Options: pricing-low-to-high, pricing-high-to-low (average prompt/completion price), context-high-to-low (context length), throughput-high-to-low, latency-low-to-high (recent median performance), most-popular, top-weekly (tokens processed in the last week), newest (creation date). When omitted, the existing default ordering is preserved."""
r"""Sort the returned models server-side. Prefer this over fetching the full list and sorting client-side. Options: pricing-low-to-high, pricing-high-to-low (average prompt/completion price), context-high-to-low (context length), throughput-high-to-low, latency-low-to-high (recent median performance), most-popular, top-weekly (tokens processed in the last week), newest (creation date), intelligence-high-to-low (Artificial Analysis intelligence index), design-arena-elo-high-to-low (best Design Arena ELO across arenas). Models without a score for the chosen benchmark are placed last. When omitted, the existing default ordering is preserved."""
Distillable = Union[
@@ -143,7 +145,7 @@ class GetModelsRequestTypedDict(TypedDict):
output_modalities: NotRequired[str]
r"""Filter models by output modality. Accepts a comma-separated list of modalities (text, image, audio, embeddings) or \"all\" to include all models. Defaults to \"text\"."""
sort: NotRequired[GetModelsSort]
r"""Sort the returned models server-side. Prefer this over fetching the full list and sorting client-side. Options: pricing-low-to-high, pricing-high-to-low (average prompt/completion price), context-high-to-low (context length), throughput-high-to-low, latency-low-to-high (recent median performance), most-popular, top-weekly (tokens processed in the last week), newest (creation date). When omitted, the existing default ordering is preserved."""
r"""Sort the returned models server-side. Prefer this over fetching the full list and sorting client-side. Options: pricing-low-to-high, pricing-high-to-low (average prompt/completion price), context-high-to-low (context length), throughput-high-to-low, latency-low-to-high (recent median performance), most-popular, top-weekly (tokens processed in the last week), newest (creation date), intelligence-high-to-low (Artificial Analysis intelligence index), design-arena-elo-high-to-low (best Design Arena ELO across arenas). Models without a score for the chosen benchmark are placed last. When omitted, the existing default ordering is preserved."""
q: NotRequired[str]
r"""Free-text search by model name or slug."""
input_modalities: NotRequired[str]
@@ -221,7 +223,7 @@ class GetModelsRequest(BaseModel):
Annotated[Optional[GetModelsSort], PlainValidator(validate_open_enum(False))],
FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
] = None
r"""Sort the returned models server-side. Prefer this over fetching the full list and sorting client-side. Options: pricing-low-to-high, pricing-high-to-low (average prompt/completion price), context-high-to-low (context length), throughput-high-to-low, latency-low-to-high (recent median performance), most-popular, top-weekly (tokens processed in the last week), newest (creation date). When omitted, the existing default ordering is preserved."""
r"""Sort the returned models server-side. Prefer this over fetching the full list and sorting client-side. Options: pricing-low-to-high, pricing-high-to-low (average prompt/completion price), context-high-to-low (context length), throughput-high-to-low, latency-low-to-high (recent median performance), most-popular, top-weekly (tokens processed in the last week), newest (creation date), intelligence-high-to-low (Artificial Analysis intelligence index), design-arena-elo-high-to-low (best Design Arena ELO across arenas). Models without a score for the chosen benchmark are placed last. When omitted, the existing default ordering is preserved."""
q: Annotated[
Optional[str],
@@ -1,20 +1,14 @@
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
from __future__ import annotations
from openrouter.types import BaseModel, UnrecognizedStr
from openrouter.utils import (
FieldMetadata,
HeaderMetadata,
QueryParamMetadata,
validate_open_enum,
)
from openrouter.types import BaseModel
from openrouter.utils import FieldMetadata, HeaderMetadata, QueryParamMetadata
import pydantic
from pydantic.functional_validators import PlainValidator
from typing import Literal, Optional, Union
from typing import Literal, Optional
from typing_extensions import Annotated, NotRequired, TypedDict
class GetBenchmarksDesignArenaGlobalsTypedDict(TypedDict):
class GetTaskClassificationsGlobalsTypedDict(TypedDict):
http_referer: NotRequired[str]
r"""The app identifier should be your app's URL and is used as the primary identifier for rankings.
This is used to track API usage per application.
@@ -30,7 +24,7 @@ class GetBenchmarksDesignArenaGlobalsTypedDict(TypedDict):
"""
class GetBenchmarksDesignArenaGlobals(BaseModel):
class GetTaskClassificationsGlobals(BaseModel):
http_referer: Annotated[
Optional[str],
pydantic.Field(alias="HTTP-Referer"),
@@ -60,18 +54,11 @@ class GetBenchmarksDesignArenaGlobals(BaseModel):
"""
Arena = Union[
Literal[
"models",
"builders",
"agents",
],
UnrecognizedStr,
]
r"""Arena to query. Defaults to `models`."""
Window = Literal["7d",]
r"""Trailing time window for the classification data. Currently only `7d` (trailing 7 days) is supported."""
class GetBenchmarksDesignArenaRequestTypedDict(TypedDict):
class GetTaskClassificationsRequestTypedDict(TypedDict):
http_referer: NotRequired[str]
r"""The app identifier should be your app's URL and is used as the primary identifier for rankings.
This is used to track API usage per application.
@@ -85,15 +72,11 @@ class GetBenchmarksDesignArenaRequestTypedDict(TypedDict):
r"""Comma-separated list of app categories (e.g. \"cli-agent,cloud-agent\"). Used for marketplace rankings.
"""
arena: NotRequired[Arena]
r"""Arena to query. Defaults to `models`."""
category: NotRequired[str]
r"""Category within the arena (e.g. `codecategories`, `uicomponent`, `gamedev`, `3d`, `dataviz`, `image`, `video`, `svg`). When omitted, returns all categories."""
max_results: NotRequired[int]
r"""Max results to return: per category when no category filter is applied (1100, default 50)."""
window: NotRequired[Window]
r"""Trailing time window for the classification data. Currently only `7d` (trailing 7 days) is supported."""
class GetBenchmarksDesignArenaRequest(BaseModel):
class GetTaskClassificationsRequest(BaseModel):
http_referer: Annotated[
Optional[str],
pydantic.Field(alias="HTTP-Referer"),
@@ -122,20 +105,8 @@ class GetBenchmarksDesignArenaRequest(BaseModel):
"""
arena: Annotated[
Annotated[Optional[Arena], PlainValidator(validate_open_enum(False))],
window: Annotated[
Optional[Window],
FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
] = "models"
r"""Arena to query. Defaults to `models`."""
category: Annotated[
Optional[str],
FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
] = None
r"""Category within the arena (e.g. `codecategories`, `uicomponent`, `gamedev`, `3d`, `dataviz`, `image`, `video`, `svg`). When omitted, returns all categories."""
max_results: Annotated[
Optional[int],
FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
] = 50
r"""Max results to return: per category when no category filter is applied (1100, default 50)."""
] = "7d"
r"""Trailing time window for the classification data. Currently only `7d` (trailing 7 days) is supported."""
@@ -101,8 +101,10 @@ Provider = Union[
"google-ai-studio",
"google-vertex",
"groq",
"heygen",
"inception",
"inceptron",
"inferact-vllm",
"inference-net",
"infermatic",
"inflection",
@@ -133,6 +135,7 @@ Provider = Union[
"recraft",
"reka",
"relace",
"sakana-ai",
"sambanova",
"seed",
"siliconflow",
@@ -140,6 +143,7 @@ Provider = Union[
"stepfun",
"streamlake",
"switchpoint",
"tenstorrent",
"together",
"upstage",
"venice",
@@ -0,0 +1,114 @@
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
from __future__ import annotations
from openrouter.types import BaseModel
from openrouter.utils import FieldMetadata, HeaderMetadata, PathParamMetadata
import pydantic
from typing import Optional
from typing_extensions import Annotated, NotRequired, TypedDict
class ListImageModelEndpointsGlobalsTypedDict(TypedDict):
http_referer: NotRequired[str]
r"""The app identifier should be your app's URL and is used as the primary identifier for rankings.
This is used to track API usage per application.
"""
x_open_router_title: NotRequired[str]
r"""The app display name allows you to customize how your app appears in OpenRouter's dashboard.
"""
x_open_router_categories: NotRequired[str]
r"""Comma-separated list of app categories (e.g. \"cli-agent,cloud-agent\"). Used for marketplace rankings.
"""
class ListImageModelEndpointsGlobals(BaseModel):
http_referer: Annotated[
Optional[str],
pydantic.Field(alias="HTTP-Referer"),
FieldMetadata(header=HeaderMetadata(style="simple", explode=False)),
] = None
r"""The app identifier should be your app's URL and is used as the primary identifier for rankings.
This is used to track API usage per application.
"""
x_open_router_title: Annotated[
Optional[str],
pydantic.Field(alias="X-OpenRouter-Title"),
FieldMetadata(header=HeaderMetadata(style="simple", explode=False)),
] = None
r"""The app display name allows you to customize how your app appears in OpenRouter's dashboard.
"""
x_open_router_categories: Annotated[
Optional[str],
pydantic.Field(alias="X-OpenRouter-Categories"),
FieldMetadata(header=HeaderMetadata(style="simple", explode=False)),
] = None
r"""Comma-separated list of app categories (e.g. \"cli-agent,cloud-agent\"). Used for marketplace rankings.
"""
class ListImageModelEndpointsRequestTypedDict(TypedDict):
author: str
r"""Model author/organization"""
slug: str
r"""Model slug"""
http_referer: NotRequired[str]
r"""The app identifier should be your app's URL and is used as the primary identifier for rankings.
This is used to track API usage per application.
"""
x_open_router_title: NotRequired[str]
r"""The app display name allows you to customize how your app appears in OpenRouter's dashboard.
"""
x_open_router_categories: NotRequired[str]
r"""Comma-separated list of app categories (e.g. \"cli-agent,cloud-agent\"). Used for marketplace rankings.
"""
class ListImageModelEndpointsRequest(BaseModel):
author: Annotated[
str, FieldMetadata(path=PathParamMetadata(style="simple", explode=False))
]
r"""Model author/organization"""
slug: Annotated[
str, FieldMetadata(path=PathParamMetadata(style="simple", explode=False))
]
r"""Model slug"""
http_referer: Annotated[
Optional[str],
pydantic.Field(alias="HTTP-Referer"),
FieldMetadata(header=HeaderMetadata(style="simple", explode=False)),
] = None
r"""The app identifier should be your app's URL and is used as the primary identifier for rankings.
This is used to track API usage per application.
"""
x_open_router_title: Annotated[
Optional[str],
pydantic.Field(alias="X-OpenRouter-Title"),
FieldMetadata(header=HeaderMetadata(style="simple", explode=False)),
] = None
r"""The app display name allows you to customize how your app appears in OpenRouter's dashboard.
"""
x_open_router_categories: Annotated[
Optional[str],
pydantic.Field(alias="X-OpenRouter-Categories"),
FieldMetadata(header=HeaderMetadata(style="simple", explode=False)),
] = None
r"""Comma-separated list of app categories (e.g. \"cli-agent,cloud-agent\"). Used for marketplace rankings.
"""
@@ -2,13 +2,13 @@
from __future__ import annotations
from openrouter.types import BaseModel
from openrouter.utils import FieldMetadata, HeaderMetadata, QueryParamMetadata
from openrouter.utils import FieldMetadata, HeaderMetadata
import pydantic
from typing import Optional
from typing_extensions import Annotated, NotRequired, TypedDict
class GetBenchmarksArtificialAnalysisGlobalsTypedDict(TypedDict):
class ListImageModelsGlobalsTypedDict(TypedDict):
http_referer: NotRequired[str]
r"""The app identifier should be your app's URL and is used as the primary identifier for rankings.
This is used to track API usage per application.
@@ -24,7 +24,7 @@ class GetBenchmarksArtificialAnalysisGlobalsTypedDict(TypedDict):
"""
class GetBenchmarksArtificialAnalysisGlobals(BaseModel):
class ListImageModelsGlobals(BaseModel):
http_referer: Annotated[
Optional[str],
pydantic.Field(alias="HTTP-Referer"),
@@ -54,7 +54,7 @@ class GetBenchmarksArtificialAnalysisGlobals(BaseModel):
"""
class GetBenchmarksArtificialAnalysisRequestTypedDict(TypedDict):
class ListImageModelsRequestTypedDict(TypedDict):
http_referer: NotRequired[str]
r"""The app identifier should be your app's URL and is used as the primary identifier for rankings.
This is used to track API usage per application.
@@ -68,11 +68,9 @@ class GetBenchmarksArtificialAnalysisRequestTypedDict(TypedDict):
r"""Comma-separated list of app categories (e.g. \"cli-agent,cloud-agent\"). Used for marketplace rankings.
"""
max_results: NotRequired[int]
r"""Max results to return (1100, default 50)."""
class GetBenchmarksArtificialAnalysisRequest(BaseModel):
class ListImageModelsRequest(BaseModel):
http_referer: Annotated[
Optional[str],
pydantic.Field(alias="HTTP-Referer"),
@@ -100,9 +98,3 @@ class GetBenchmarksArtificialAnalysisRequest(BaseModel):
r"""Comma-separated list of app categories (e.g. \"cli-agent,cloud-agent\"). Used for marketplace rankings.
"""
max_results: Annotated[
Optional[int],
FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
] = 50
r"""Max results to return (1100, default 50)."""