mirror of
https://github.com/wassname/openrouter-python-sdk-retry-errors.git
synced 2026-08-01 12:40:23 +08:00
## Python SDK Changes:
* `open_router.benchmarks.get_benchmarks()`: **Added** * `open_router.datasets.get_benchmarks_artificial_analysis()`: **Deleted** **Breaking** ⚠️ * `open_router.datasets.get_benchmarks_design_arena()`: **Deleted** **Breaking** ⚠️ * `open_router.chat.send()`: `response` **Changed** * `open_router.embeddings.generate()`: `response.usage` **Changed** * `open_router.embeddings.list_models()`: `response.data.[].reasoning` **Added** * `open_router.models.get()`: `response.data.reasoning` **Added** * `open_router.models.list()`: `response.data.[].reasoning` **Added** * `open_router.models.list_for_user()`: `response.data.[].reasoning` **Added**
This commit is contained in:
speakeasybot
@@ -276,38 +276,6 @@ if TYPE_CHECKING:
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BashServerToolEnvironment,
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BashServerToolEnvironmentTypedDict,
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)
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from .benchmarkpricing import BenchmarkPricing, BenchmarkPricingTypedDict
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from .benchmarksaaitem import BenchmarksAAItem, BenchmarksAAItemTypedDict
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from .benchmarksaameta import (
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BenchmarksAAMeta,
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BenchmarksAAMetaSource,
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BenchmarksAAMetaSourceURL,
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BenchmarksAAMetaTypedDict,
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BenchmarksAAMetaVersion,
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)
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from .benchmarksaaresponse import (
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BenchmarksAAResponse,
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BenchmarksAAResponseTypedDict,
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)
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from .benchmarksdaitem import (
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BenchmarksDAItem,
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BenchmarksDAItemTypedDict,
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TournamentStats,
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TournamentStatsTypedDict,
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)
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from .benchmarksdameta import (
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BenchmarksDAMeta,
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BenchmarksDAMetaSource,
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BenchmarksDAMetaSourceURL,
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BenchmarksDAMetaTypedDict,
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BenchmarksDAMetaVersion,
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EloBounds,
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EloBoundsTypedDict,
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)
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from .benchmarksdaresponse import (
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BenchmarksDAResponse,
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BenchmarksDAResponseTypedDict,
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)
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from .bulkaddworkspacemembersrequest import (
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BulkAddWorkspaceMembersRequest,
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BulkAddWorkspaceMembersRequestTypedDict,
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@@ -559,6 +527,8 @@ if TYPE_CHECKING:
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CompletionTokensDetailsTypedDict,
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PromptTokensDetails,
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PromptTokensDetailsTypedDict,
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ServerToolUseDetails,
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ServerToolUseDetailsTypedDict,
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)
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from .chatusermessage import (
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ChatUserMessage,
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@@ -1436,6 +1406,7 @@ if TYPE_CHECKING:
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from .modelbenchmarks import ModelBenchmarks, ModelBenchmarksTypedDict
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from .modelgroup import ModelGroup
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from .modellinks import ModelLinks, ModelLinksTypedDict
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from .modelreasoning import DefaultEffort, ModelReasoning, ModelReasoningTypedDict
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from .modelresponse import ModelResponse, ModelResponseTypedDict
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from .modelscountresponse import (
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ModelsCountResponse,
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@@ -2348,6 +2319,34 @@ if TYPE_CHECKING:
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UnauthorizedResponseErrorData,
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UnauthorizedResponseErrorDataTypedDict,
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)
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from .unifiedbenchmarkpricing import (
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UnifiedBenchmarkPricing,
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UnifiedBenchmarkPricingTypedDict,
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)
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from .unifiedbenchmarksaaitem import (
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UnifiedBenchmarksAAItem,
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UnifiedBenchmarksAAItemSource,
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UnifiedBenchmarksAAItemTypedDict,
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)
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from .unifiedbenchmarksdaitem import (
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TournamentStats,
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TournamentStatsTypedDict,
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UnifiedBenchmarksDAItem,
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UnifiedBenchmarksDAItemSource,
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UnifiedBenchmarksDAItemTypedDict,
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)
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from .unifiedbenchmarksmeta import (
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UnifiedBenchmarksMeta,
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UnifiedBenchmarksMetaSource,
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UnifiedBenchmarksMetaTypedDict,
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UnifiedBenchmarksMetaVersion,
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)
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from .unifiedbenchmarksresponse import (
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Data,
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DataTypedDict,
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UnifiedBenchmarksResponse,
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UnifiedBenchmarksResponseTypedDict,
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)
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from .unprocessableentityresponseerrordata import (
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UnprocessableEntityResponseErrorData,
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UnprocessableEntityResponseErrorDataTypedDict,
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@@ -2728,26 +2727,6 @@ __all__ = [
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"BashServerToolEnvironmentTypedDict",
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"BashServerToolType",
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"BashServerToolTypedDict",
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"BenchmarkPricing",
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"BenchmarkPricingTypedDict",
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"BenchmarksAAItem",
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"BenchmarksAAItemTypedDict",
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"BenchmarksAAMeta",
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"BenchmarksAAMetaSource",
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"BenchmarksAAMetaSourceURL",
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"BenchmarksAAMetaTypedDict",
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"BenchmarksAAMetaVersion",
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"BenchmarksAAResponse",
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"BenchmarksAAResponseTypedDict",
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"BenchmarksDAItem",
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"BenchmarksDAItemTypedDict",
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"BenchmarksDAMeta",
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"BenchmarksDAMetaSource",
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"BenchmarksDAMetaSourceURL",
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"BenchmarksDAMetaTypedDict",
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"BenchmarksDAMetaVersion",
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"BenchmarksDAResponse",
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"BenchmarksDAResponseTypedDict",
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"BulkAddWorkspaceMembersRequest",
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"BulkAddWorkspaceMembersRequestTypedDict",
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"BulkAddWorkspaceMembersResponse",
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@@ -3069,13 +3048,16 @@ __all__ = [
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"CustomToolTypedDict",
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"DABenchmarkEntry",
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"DABenchmarkEntryTypedDict",
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"Data",
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"DataCollection",
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"DataRegion",
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"DataTypedDict",
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"DatetimeServerTool",
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"DatetimeServerToolConfig",
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"DatetimeServerToolConfigTypedDict",
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"DatetimeServerToolType",
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"DatetimeServerToolTypedDict",
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"DefaultEffort",
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"DefaultParameters",
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"DefaultParametersTypedDict",
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"DeleteBYOKKeyResponse",
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@@ -3120,8 +3102,6 @@ __all__ = [
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"EditCompact20260112TypedDict",
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"EditTypeInputTokens",
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"EditTypedDict",
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"EloBounds",
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"EloBoundsTypedDict",
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"EndpointInfo",
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"EndpointInfoTypedDict",
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"EndpointStatus",
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@@ -3518,6 +3498,8 @@ __all__ = [
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"ModelGroup",
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"ModelLinks",
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"ModelLinksTypedDict",
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"ModelReasoning",
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"ModelReasoningTypedDict",
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"ModelResponse",
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"ModelResponseTypedDict",
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"ModelTypedDict",
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@@ -4076,6 +4058,8 @@ __all__ = [
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"SearchQualityLevel",
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"Security",
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"SecurityTypedDict",
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"ServerToolUseDetails",
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"ServerToolUseDetailsTypedDict",
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"ServiceUnavailableResponseErrorData",
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"ServiceUnavailableResponseErrorDataTypedDict",
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"ShellCallItem",
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@@ -4277,6 +4261,20 @@ __all__ = [
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"URLCitationTypedDict",
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"UnauthorizedResponseErrorData",
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"UnauthorizedResponseErrorDataTypedDict",
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"UnifiedBenchmarkPricing",
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"UnifiedBenchmarkPricingTypedDict",
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"UnifiedBenchmarksAAItem",
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"UnifiedBenchmarksAAItemSource",
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"UnifiedBenchmarksAAItemTypedDict",
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"UnifiedBenchmarksDAItem",
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"UnifiedBenchmarksDAItemSource",
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"UnifiedBenchmarksDAItemTypedDict",
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"UnifiedBenchmarksMeta",
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"UnifiedBenchmarksMetaSource",
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"UnifiedBenchmarksMetaTypedDict",
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"UnifiedBenchmarksMetaVersion",
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"UnifiedBenchmarksResponse",
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"UnifiedBenchmarksResponseTypedDict",
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"UniqueInsight",
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"UniqueInsightTypedDict",
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"UnprocessableEntityResponseErrorData",
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@@ -4569,30 +4567,6 @@ _dynamic_imports: dict[str, str] = {
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"BashServerToolEngine": ".bashservertoolengine",
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"BashServerToolEnvironment": ".bashservertoolenvironment",
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"BashServerToolEnvironmentTypedDict": ".bashservertoolenvironment",
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"BenchmarkPricing": ".benchmarkpricing",
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"BenchmarkPricingTypedDict": ".benchmarkpricing",
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"BenchmarksAAItem": ".benchmarksaaitem",
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"BenchmarksAAItemTypedDict": ".benchmarksaaitem",
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"BenchmarksAAMeta": ".benchmarksaameta",
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"BenchmarksAAMetaSource": ".benchmarksaameta",
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"BenchmarksAAMetaSourceURL": ".benchmarksaameta",
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"BenchmarksAAMetaTypedDict": ".benchmarksaameta",
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"BenchmarksAAMetaVersion": ".benchmarksaameta",
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"BenchmarksAAResponse": ".benchmarksaaresponse",
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"BenchmarksAAResponseTypedDict": ".benchmarksaaresponse",
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"BenchmarksDAItem": ".benchmarksdaitem",
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"BenchmarksDAItemTypedDict": ".benchmarksdaitem",
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"TournamentStats": ".benchmarksdaitem",
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"TournamentStatsTypedDict": ".benchmarksdaitem",
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"BenchmarksDAMeta": ".benchmarksdameta",
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"BenchmarksDAMetaSource": ".benchmarksdameta",
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"BenchmarksDAMetaSourceURL": ".benchmarksdameta",
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"BenchmarksDAMetaTypedDict": ".benchmarksdameta",
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"BenchmarksDAMetaVersion": ".benchmarksdameta",
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"EloBounds": ".benchmarksdameta",
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"EloBoundsTypedDict": ".benchmarksdameta",
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"BenchmarksDAResponse": ".benchmarksdaresponse",
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"BenchmarksDAResponseTypedDict": ".benchmarksdaresponse",
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"BulkAddWorkspaceMembersRequest": ".bulkaddworkspacemembersrequest",
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"BulkAddWorkspaceMembersRequestTypedDict": ".bulkaddworkspacemembersrequest",
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"BulkAddWorkspaceMembersResponse": ".bulkaddworkspacemembersresponse",
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@@ -4772,6 +4746,8 @@ _dynamic_imports: dict[str, str] = {
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"CompletionTokensDetailsTypedDict": ".chatusage",
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"PromptTokensDetails": ".chatusage",
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"PromptTokensDetailsTypedDict": ".chatusage",
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"ServerToolUseDetails": ".chatusage",
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"ServerToolUseDetailsTypedDict": ".chatusage",
|
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"ChatUserMessage": ".chatusermessage",
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"ChatUserMessageContent": ".chatusermessage",
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"ChatUserMessageContentTypedDict": ".chatusermessage",
|
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@@ -5459,6 +5435,9 @@ _dynamic_imports: dict[str, str] = {
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"ModelGroup": ".modelgroup",
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"ModelLinks": ".modellinks",
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"ModelLinksTypedDict": ".modellinks",
|
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"DefaultEffort": ".modelreasoning",
|
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"ModelReasoning": ".modelreasoning",
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"ModelReasoningTypedDict": ".modelreasoning",
|
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"ModelResponse": ".modelresponse",
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"ModelResponseTypedDict": ".modelresponse",
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"ModelsCountResponse": ".modelscountresponse",
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@@ -6127,6 +6106,24 @@ _dynamic_imports: dict[str, str] = {
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"Truncation": ".truncation",
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"UnauthorizedResponseErrorData": ".unauthorizedresponseerrordata",
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"UnauthorizedResponseErrorDataTypedDict": ".unauthorizedresponseerrordata",
|
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"UnifiedBenchmarkPricing": ".unifiedbenchmarkpricing",
|
||||
"UnifiedBenchmarkPricingTypedDict": ".unifiedbenchmarkpricing",
|
||||
"UnifiedBenchmarksAAItem": ".unifiedbenchmarksaaitem",
|
||||
"UnifiedBenchmarksAAItemSource": ".unifiedbenchmarksaaitem",
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"UnifiedBenchmarksAAItemTypedDict": ".unifiedbenchmarksaaitem",
|
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"TournamentStats": ".unifiedbenchmarksdaitem",
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"TournamentStatsTypedDict": ".unifiedbenchmarksdaitem",
|
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"UnifiedBenchmarksDAItem": ".unifiedbenchmarksdaitem",
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"UnifiedBenchmarksDAItemSource": ".unifiedbenchmarksdaitem",
|
||||
"UnifiedBenchmarksDAItemTypedDict": ".unifiedbenchmarksdaitem",
|
||||
"UnifiedBenchmarksMeta": ".unifiedbenchmarksmeta",
|
||||
"UnifiedBenchmarksMetaSource": ".unifiedbenchmarksmeta",
|
||||
"UnifiedBenchmarksMetaTypedDict": ".unifiedbenchmarksmeta",
|
||||
"UnifiedBenchmarksMetaVersion": ".unifiedbenchmarksmeta",
|
||||
"Data": ".unifiedbenchmarksresponse",
|
||||
"DataTypedDict": ".unifiedbenchmarksresponse",
|
||||
"UnifiedBenchmarksResponse": ".unifiedbenchmarksresponse",
|
||||
"UnifiedBenchmarksResponseTypedDict": ".unifiedbenchmarksresponse",
|
||||
"UnprocessableEntityResponseErrorData": ".unprocessableentityresponseerrordata",
|
||||
"UnprocessableEntityResponseErrorDataTypedDict": ".unprocessableentityresponseerrordata",
|
||||
"UpdateBYOKKeyRequest": ".updatebyokkeyrequest",
|
||||
|
||||
@@ -10,6 +10,7 @@ from typing_extensions import Annotated, NotRequired, TypedDict
|
||||
|
||||
AdvisorReasoningEffort = Union[
|
||||
Literal[
|
||||
"max",
|
||||
"xhigh",
|
||||
"high",
|
||||
"medium",
|
||||
|
||||
@@ -1,53 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import BaseModel
|
||||
from typing import Literal
|
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from typing_extensions import TypedDict
|
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|
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|
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BenchmarksAAMetaSource = Literal["artificial-analysis",]
|
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r"""Data source identifier."""
|
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|
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|
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BenchmarksAAMetaSourceURL = Literal["https://artificialanalysis.ai",]
|
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r"""URL of the upstream data source."""
|
||||
|
||||
|
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BenchmarksAAMetaVersion = Literal["v1",]
|
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r"""Dataset version."""
|
||||
|
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|
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class BenchmarksAAMetaTypedDict(TypedDict):
|
||||
as_of: str
|
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r"""ISO-8601 timestamp of when this data was last updated."""
|
||||
citation: str
|
||||
r"""Required attribution when republishing this data."""
|
||||
model_count: int
|
||||
r"""Number of unique models in the response."""
|
||||
source: BenchmarksAAMetaSource
|
||||
r"""Data source identifier."""
|
||||
source_url: BenchmarksAAMetaSourceURL
|
||||
r"""URL of the upstream data source."""
|
||||
version: BenchmarksAAMetaVersion
|
||||
r"""Dataset version."""
|
||||
|
||||
|
||||
class BenchmarksAAMeta(BaseModel):
|
||||
as_of: str
|
||||
r"""ISO-8601 timestamp of when this data was last updated."""
|
||||
|
||||
citation: str
|
||||
r"""Required attribution when republishing this data."""
|
||||
|
||||
model_count: int
|
||||
r"""Number of unique models in the response."""
|
||||
|
||||
source: BenchmarksAAMetaSource
|
||||
r"""Data source identifier."""
|
||||
|
||||
source_url: BenchmarksAAMetaSourceURL
|
||||
r"""URL of the upstream data source."""
|
||||
|
||||
version: BenchmarksAAMetaVersion
|
||||
r"""Dataset version."""
|
||||
@@ -1,19 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from .benchmarksaaitem import BenchmarksAAItem, BenchmarksAAItemTypedDict
|
||||
from .benchmarksaameta import BenchmarksAAMeta, BenchmarksAAMetaTypedDict
|
||||
from openrouter.types import BaseModel
|
||||
from typing import List
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
|
||||
class BenchmarksAAResponseTypedDict(TypedDict):
|
||||
data: List[BenchmarksAAItemTypedDict]
|
||||
meta: BenchmarksAAMetaTypedDict
|
||||
|
||||
|
||||
class BenchmarksAAResponse(BaseModel):
|
||||
data: List[BenchmarksAAItem]
|
||||
|
||||
meta: BenchmarksAAMeta
|
||||
@@ -1,118 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import BaseModel, Nullable, UNSET_SENTINEL
|
||||
from pydantic import model_serializer
|
||||
from typing import Literal
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
|
||||
class EloBoundsTypedDict(TypedDict):
|
||||
r"""ELO range across all returned models for normalization."""
|
||||
|
||||
max: float
|
||||
r"""Maximum ELO in the result set."""
|
||||
min: float
|
||||
r"""Minimum ELO in the result set."""
|
||||
|
||||
|
||||
class EloBounds(BaseModel):
|
||||
r"""ELO range across all returned models for normalization."""
|
||||
|
||||
max: float
|
||||
r"""Maximum ELO in the result set."""
|
||||
|
||||
min: float
|
||||
r"""Minimum ELO in the result set."""
|
||||
|
||||
|
||||
BenchmarksDAMetaSource = Literal["design-arena",]
|
||||
r"""Data source identifier."""
|
||||
|
||||
|
||||
BenchmarksDAMetaSourceURL = Literal["https://www.designarena.ai",]
|
||||
r"""URL of the upstream data source."""
|
||||
|
||||
|
||||
BenchmarksDAMetaVersion = Literal["v1",]
|
||||
r"""Dataset version."""
|
||||
|
||||
|
||||
class BenchmarksDAMetaTypedDict(TypedDict):
|
||||
arena: str
|
||||
r"""The arena filter applied."""
|
||||
as_of: str
|
||||
r"""ISO-8601 timestamp of when this data was generated."""
|
||||
category: Nullable[str]
|
||||
r"""The category filter applied, or null if showing all."""
|
||||
citation: str
|
||||
r"""Required attribution when republishing this data."""
|
||||
elo_bounds: EloBoundsTypedDict
|
||||
r"""ELO range across all returned models for normalization."""
|
||||
model_count: int
|
||||
r"""Number of unique models in the response."""
|
||||
source: BenchmarksDAMetaSource
|
||||
r"""Data source identifier."""
|
||||
source_url: BenchmarksDAMetaSourceURL
|
||||
r"""URL of the upstream data source."""
|
||||
version: BenchmarksDAMetaVersion
|
||||
r"""Dataset version."""
|
||||
|
||||
|
||||
class BenchmarksDAMeta(BaseModel):
|
||||
arena: str
|
||||
r"""The arena filter applied."""
|
||||
|
||||
as_of: str
|
||||
r"""ISO-8601 timestamp of when this data was generated."""
|
||||
|
||||
category: Nullable[str]
|
||||
r"""The category filter applied, or null if showing all."""
|
||||
|
||||
citation: str
|
||||
r"""Required attribution when republishing this data."""
|
||||
|
||||
elo_bounds: EloBounds
|
||||
r"""ELO range across all returned models for normalization."""
|
||||
|
||||
model_count: int
|
||||
r"""Number of unique models in the response."""
|
||||
|
||||
source: BenchmarksDAMetaSource
|
||||
r"""Data source identifier."""
|
||||
|
||||
source_url: BenchmarksDAMetaSourceURL
|
||||
r"""URL of the upstream data source."""
|
||||
|
||||
version: BenchmarksDAMetaVersion
|
||||
r"""Dataset version."""
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = []
|
||||
nullable_fields = ["category"]
|
||||
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
|
||||
@@ -1,19 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from .benchmarksdaitem import BenchmarksDAItem, BenchmarksDAItemTypedDict
|
||||
from .benchmarksdameta import BenchmarksDAMeta, BenchmarksDAMetaTypedDict
|
||||
from openrouter.types import BaseModel
|
||||
from typing import List
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
|
||||
class BenchmarksDAResponseTypedDict(TypedDict):
|
||||
data: List[BenchmarksDAItemTypedDict]
|
||||
meta: BenchmarksDAMetaTypedDict
|
||||
|
||||
|
||||
class BenchmarksDAResponse(BaseModel):
|
||||
data: List[BenchmarksDAItem]
|
||||
|
||||
meta: BenchmarksDAMeta
|
||||
@@ -106,6 +106,7 @@ ChatRequestPlugin = Annotated[
|
||||
|
||||
ChatRequestEffort = Union[
|
||||
Literal[
|
||||
"max",
|
||||
"xhigh",
|
||||
"high",
|
||||
"medium",
|
||||
@@ -172,6 +173,7 @@ class ChatRequestReasoning(BaseModel):
|
||||
|
||||
ChatRequestReasoningEffort = Union[
|
||||
Literal[
|
||||
"max",
|
||||
"xhigh",
|
||||
"high",
|
||||
"medium",
|
||||
|
||||
@@ -112,6 +112,68 @@ class PromptTokensDetails(BaseModel):
|
||||
r"""Video input tokens"""
|
||||
|
||||
|
||||
class ServerToolUseDetailsTypedDict(TypedDict):
|
||||
r"""Usage for server-side tool execution (e.g., web search)"""
|
||||
|
||||
tool_calls_executed: NotRequired[Nullable[int]]
|
||||
r"""Number of OpenRouter server tool calls that executed and produced a result"""
|
||||
tool_calls_requested: NotRequired[Nullable[int]]
|
||||
r"""Total number of OpenRouter server-orchestrated tool calls the model requested, across all tool types. Provider-native tools (e.g. native web search) are not counted here."""
|
||||
web_search_requests: NotRequired[Nullable[int]]
|
||||
r"""Number of web searches performed by server-side tools. For server-orchestrated tool calls a web search is also counted in tool_calls_requested; provider-native web search may report web_search_requests only. Do not sum the two."""
|
||||
|
||||
|
||||
class ServerToolUseDetails(BaseModel):
|
||||
r"""Usage for server-side tool execution (e.g., web search)"""
|
||||
|
||||
tool_calls_executed: OptionalNullable[int] = UNSET
|
||||
r"""Number of OpenRouter server tool calls that executed and produced a result"""
|
||||
|
||||
tool_calls_requested: OptionalNullable[int] = UNSET
|
||||
r"""Total number of OpenRouter server-orchestrated tool calls the model requested, across all tool types. Provider-native tools (e.g. native web search) are not counted here."""
|
||||
|
||||
web_search_requests: OptionalNullable[int] = UNSET
|
||||
r"""Number of web searches performed by server-side tools. For server-orchestrated tool calls a web search is also counted in tool_calls_requested; provider-native web search may report web_search_requests only. Do not sum the two."""
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = [
|
||||
"tool_calls_executed",
|
||||
"tool_calls_requested",
|
||||
"web_search_requests",
|
||||
]
|
||||
nullable_fields = [
|
||||
"tool_calls_executed",
|
||||
"tool_calls_requested",
|
||||
"web_search_requests",
|
||||
]
|
||||
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 ChatUsageTypedDict(TypedDict):
|
||||
r"""Token usage statistics"""
|
||||
|
||||
@@ -131,6 +193,8 @@ class ChatUsageTypedDict(TypedDict):
|
||||
r"""Whether a request was made using a Bring Your Own Key configuration"""
|
||||
prompt_tokens_details: NotRequired[Nullable[PromptTokensDetailsTypedDict]]
|
||||
r"""Detailed prompt token usage"""
|
||||
server_tool_use_details: NotRequired[Nullable[ServerToolUseDetailsTypedDict]]
|
||||
r"""Usage for server-side tool execution (e.g., web search)"""
|
||||
|
||||
|
||||
class ChatUsage(BaseModel):
|
||||
@@ -160,6 +224,9 @@ class ChatUsage(BaseModel):
|
||||
prompt_tokens_details: OptionalNullable[PromptTokensDetails] = UNSET
|
||||
r"""Detailed prompt token usage"""
|
||||
|
||||
server_tool_use_details: OptionalNullable[ServerToolUseDetails] = UNSET
|
||||
r"""Usage for server-side tool execution (e.g., web search)"""
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = [
|
||||
@@ -168,12 +235,14 @@ class ChatUsage(BaseModel):
|
||||
"cost_details",
|
||||
"is_byok",
|
||||
"prompt_tokens_details",
|
||||
"server_tool_use_details",
|
||||
]
|
||||
nullable_fields = [
|
||||
"completion_tokens_details",
|
||||
"cost",
|
||||
"cost_details",
|
||||
"prompt_tokens_details",
|
||||
"server_tool_use_details",
|
||||
]
|
||||
null_default_fields = []
|
||||
|
||||
|
||||
@@ -10,6 +10,7 @@ from typing_extensions import Annotated, NotRequired, TypedDict
|
||||
|
||||
FusionServerToolConfigEffort = Union[
|
||||
Literal[
|
||||
"max",
|
||||
"xhigh",
|
||||
"high",
|
||||
"medium",
|
||||
|
||||
@@ -5,6 +5,7 @@ from .defaultparameters import DefaultParameters, DefaultParametersTypedDict
|
||||
from .modelarchitecture import ModelArchitecture, ModelArchitectureTypedDict
|
||||
from .modelbenchmarks import ModelBenchmarks, ModelBenchmarksTypedDict
|
||||
from .modellinks import ModelLinks, ModelLinksTypedDict
|
||||
from .modelreasoning import ModelReasoning, ModelReasoningTypedDict
|
||||
from .parameter import Parameter
|
||||
from .perrequestlimits import PerRequestLimits, PerRequestLimitsTypedDict
|
||||
from .publicpricing import PublicPricing, PublicPricingTypedDict
|
||||
@@ -62,6 +63,8 @@ class ModelTypedDict(TypedDict):
|
||||
r"""Hugging Face model identifier, if applicable"""
|
||||
knowledge_cutoff: NotRequired[Nullable[str]]
|
||||
r"""The date up to which the model was trained on data. ISO 8601 date string (YYYY-MM-DD) or null if unknown."""
|
||||
reasoning: NotRequired[ModelReasoningTypedDict]
|
||||
r"""Reasoning effort configuration. Omitted for non-reasoning models and dynamic router models."""
|
||||
|
||||
|
||||
class Model(BaseModel):
|
||||
@@ -123,6 +126,9 @@ class Model(BaseModel):
|
||||
knowledge_cutoff: OptionalNullable[str] = UNSET
|
||||
r"""The date up to which the model was trained on data. ISO 8601 date string (YYYY-MM-DD) or null if unknown."""
|
||||
|
||||
reasoning: Optional[ModelReasoning] = None
|
||||
r"""Reasoning effort configuration. Omitted for non-reasoning models and dynamic router models."""
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = [
|
||||
@@ -131,6 +137,7 @@ class Model(BaseModel):
|
||||
"expiration_date",
|
||||
"hugging_face_id",
|
||||
"knowledge_cutoff",
|
||||
"reasoning",
|
||||
]
|
||||
nullable_fields = [
|
||||
"context_length",
|
||||
|
||||
@@ -0,0 +1,107 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from .reasoningeffort import ReasoningEffort
|
||||
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 List, Literal, Optional, Union
|
||||
from typing_extensions import Annotated, NotRequired, TypedDict
|
||||
|
||||
|
||||
DefaultEffort = Union[
|
||||
Literal[
|
||||
"max",
|
||||
"xhigh",
|
||||
"high",
|
||||
"medium",
|
||||
"low",
|
||||
"minimal",
|
||||
"none",
|
||||
],
|
||||
UnrecognizedStr,
|
||||
]
|
||||
r"""Default reasoning effort when the client enables reasoning without specifying effort. Maps to `reasoning.effort` in chat requests. When `\"none\"`, prefer omitting effort unless the user explicitly disables reasoning."""
|
||||
|
||||
|
||||
class ModelReasoningTypedDict(TypedDict):
|
||||
r"""Reasoning effort configuration. Omitted for non-reasoning models and dynamic router models."""
|
||||
|
||||
mandatory: bool
|
||||
r"""When true, reasoning cannot be disabled and effort \"none\" is rejected."""
|
||||
default_effort: NotRequired[Nullable[DefaultEffort]]
|
||||
default_enabled: NotRequired[bool]
|
||||
r"""Default reasoning enabled state when the client does not set `reasoning.enabled`."""
|
||||
supported_efforts: NotRequired[Nullable[List[Nullable[ReasoningEffort]]]]
|
||||
r"""Allowed reasoning effort values for this model, in descending effort order (highest first). Null means no allowlist — all gateway effort values are accepted."""
|
||||
supports_max_tokens: NotRequired[bool]
|
||||
r"""Present and `true` when the model accepts `reasoning.max_tokens` in requests (Anthropic-style) instead of or in addition to `reasoning.effort`. Omitted otherwise."""
|
||||
|
||||
|
||||
class ModelReasoning(BaseModel):
|
||||
r"""Reasoning effort configuration. Omitted for non-reasoning models and dynamic router models."""
|
||||
|
||||
mandatory: bool
|
||||
r"""When true, reasoning cannot be disabled and effort \"none\" is rejected."""
|
||||
|
||||
default_effort: Annotated[
|
||||
OptionalNullable[DefaultEffort], PlainValidator(validate_open_enum(False))
|
||||
] = UNSET
|
||||
|
||||
default_enabled: Optional[bool] = None
|
||||
r"""Default reasoning enabled state when the client does not set `reasoning.enabled`."""
|
||||
|
||||
supported_efforts: OptionalNullable[
|
||||
List[
|
||||
Annotated[
|
||||
Nullable[ReasoningEffort], PlainValidator(validate_open_enum(False))
|
||||
]
|
||||
]
|
||||
] = UNSET
|
||||
r"""Allowed reasoning effort values for this model, in descending effort order (highest first). Null means no allowlist — all gateway effort values are accepted."""
|
||||
|
||||
supports_max_tokens: Optional[bool] = None
|
||||
r"""Present and `true` when the model accepts `reasoning.max_tokens` in requests (Anthropic-style) instead of or in addition to `reasoning.effort`. Omitted otherwise."""
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = [
|
||||
"default_effort",
|
||||
"default_enabled",
|
||||
"supported_efforts",
|
||||
"supports_max_tokens",
|
||||
]
|
||||
nullable_fields = ["default_effort", "supported_efforts"]
|
||||
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
|
||||
@@ -7,6 +7,7 @@ from typing import Literal, Union
|
||||
|
||||
ReasoningEffort = Union[
|
||||
Literal[
|
||||
"max",
|
||||
"xhigh",
|
||||
"high",
|
||||
"medium",
|
||||
|
||||
@@ -10,6 +10,7 @@ from typing_extensions import Annotated, NotRequired, TypedDict
|
||||
|
||||
SubagentReasoningEffort = Union[
|
||||
Literal[
|
||||
"max",
|
||||
"xhigh",
|
||||
"high",
|
||||
"medium",
|
||||
|
||||
+2
-2
@@ -5,7 +5,7 @@ from openrouter.types import BaseModel
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
|
||||
class BenchmarkPricingTypedDict(TypedDict):
|
||||
class UnifiedBenchmarkPricingTypedDict(TypedDict):
|
||||
r"""OpenRouter pricing per token for this model. Null if pricing is unavailable."""
|
||||
|
||||
completion: str
|
||||
@@ -14,7 +14,7 @@ class BenchmarkPricingTypedDict(TypedDict):
|
||||
r"""Cost per input token (USD, decimal string)."""
|
||||
|
||||
|
||||
class BenchmarkPricing(BaseModel):
|
||||
class UnifiedBenchmarkPricing(BaseModel):
|
||||
r"""OpenRouter pricing per token for this model. Null if pricing is unavailable."""
|
||||
|
||||
completion: str
|
||||
+23
-10
@@ -1,46 +1,59 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from .benchmarkpricing import BenchmarkPricing, BenchmarkPricingTypedDict
|
||||
from .unifiedbenchmarkpricing import (
|
||||
UnifiedBenchmarkPricing,
|
||||
UnifiedBenchmarkPricingTypedDict,
|
||||
)
|
||||
from openrouter.types import BaseModel, Nullable, UNSET_SENTINEL
|
||||
from pydantic import model_serializer
|
||||
from typing import Literal
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
|
||||
class BenchmarksAAItemTypedDict(TypedDict):
|
||||
aa_name: str
|
||||
r"""Model name as listed on Artificial Analysis."""
|
||||
UnifiedBenchmarksAAItemSource = Literal["artificial-analysis",]
|
||||
r"""Benchmark source discriminator."""
|
||||
|
||||
|
||||
class UnifiedBenchmarksAAItemTypedDict(TypedDict):
|
||||
agentic_index: Nullable[float]
|
||||
r"""Artificial Analysis Agentic Index composite score. Higher is better."""
|
||||
coding_index: Nullable[float]
|
||||
r"""Artificial Analysis Coding Index composite score. Higher is better."""
|
||||
display_name: str
|
||||
r"""Model name as listed on Artificial Analysis."""
|
||||
intelligence_index: Nullable[float]
|
||||
r"""Artificial Analysis Intelligence Index composite score. Higher is better."""
|
||||
model_permaslug: str
|
||||
r"""Stable OpenRouter model identifier."""
|
||||
pricing: Nullable[BenchmarkPricingTypedDict]
|
||||
pricing: Nullable[UnifiedBenchmarkPricingTypedDict]
|
||||
r"""OpenRouter pricing per token for this model. Null if pricing is unavailable."""
|
||||
source: UnifiedBenchmarksAAItemSource
|
||||
r"""Benchmark source discriminator."""
|
||||
|
||||
|
||||
class BenchmarksAAItem(BaseModel):
|
||||
aa_name: str
|
||||
r"""Model name as listed on Artificial Analysis."""
|
||||
|
||||
class UnifiedBenchmarksAAItem(BaseModel):
|
||||
agentic_index: Nullable[float]
|
||||
r"""Artificial Analysis Agentic Index composite score. Higher is better."""
|
||||
|
||||
coding_index: Nullable[float]
|
||||
r"""Artificial Analysis Coding Index composite score. Higher is better."""
|
||||
|
||||
display_name: str
|
||||
r"""Model name as listed on Artificial Analysis."""
|
||||
|
||||
intelligence_index: Nullable[float]
|
||||
r"""Artificial Analysis Intelligence Index composite score. Higher is better."""
|
||||
|
||||
model_permaslug: str
|
||||
r"""Stable OpenRouter model identifier."""
|
||||
|
||||
pricing: Nullable[BenchmarkPricing]
|
||||
pricing: Nullable[UnifiedBenchmarkPricing]
|
||||
r"""OpenRouter pricing per token for this model. Null if pricing is unavailable."""
|
||||
|
||||
source: UnifiedBenchmarksAAItemSource
|
||||
r"""Benchmark source discriminator."""
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = []
|
||||
+20
-7
@@ -1,12 +1,20 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from .benchmarkpricing import BenchmarkPricing, BenchmarkPricingTypedDict
|
||||
from .unifiedbenchmarkpricing import (
|
||||
UnifiedBenchmarkPricing,
|
||||
UnifiedBenchmarkPricingTypedDict,
|
||||
)
|
||||
from openrouter.types import BaseModel, Nullable, UNSET_SENTINEL
|
||||
from pydantic import model_serializer
|
||||
from typing import Literal
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
|
||||
UnifiedBenchmarksDAItemSource = Literal["design-arena",]
|
||||
r"""Benchmark source discriminator."""
|
||||
|
||||
|
||||
class TournamentStatsTypedDict(TypedDict):
|
||||
r"""Placement distribution from tournament matches."""
|
||||
|
||||
@@ -67,7 +75,7 @@ class TournamentStats(BaseModel):
|
||||
return m
|
||||
|
||||
|
||||
class BenchmarksDAItemTypedDict(TypedDict):
|
||||
class UnifiedBenchmarksDAItemTypedDict(TypedDict):
|
||||
arena: str
|
||||
r"""Arena this ranking belongs to."""
|
||||
avg_generation_time_ms: Nullable[float]
|
||||
@@ -79,16 +87,18 @@ class BenchmarksDAItemTypedDict(TypedDict):
|
||||
elo: float
|
||||
r"""ELO rating from head-to-head arena battles."""
|
||||
model_permaslug: str
|
||||
r"""Stable OpenRouter model identifier when the model is on OpenRouter; otherwise the upstream Design Arena model id. Use pricing != null to detect OpenRouter-mapped models."""
|
||||
pricing: Nullable[BenchmarkPricingTypedDict]
|
||||
r"""Stable OpenRouter model identifier when mapped; otherwise the upstream Design Arena model id."""
|
||||
pricing: Nullable[UnifiedBenchmarkPricingTypedDict]
|
||||
r"""OpenRouter pricing per token for this model. Null if pricing is unavailable."""
|
||||
source: UnifiedBenchmarksDAItemSource
|
||||
r"""Benchmark source discriminator."""
|
||||
tournament_stats: TournamentStatsTypedDict
|
||||
r"""Placement distribution from tournament matches."""
|
||||
win_rate: float
|
||||
r"""Win rate as a percentage (0–100)."""
|
||||
|
||||
|
||||
class BenchmarksDAItem(BaseModel):
|
||||
class UnifiedBenchmarksDAItem(BaseModel):
|
||||
arena: str
|
||||
r"""Arena this ranking belongs to."""
|
||||
|
||||
@@ -105,11 +115,14 @@ class BenchmarksDAItem(BaseModel):
|
||||
r"""ELO rating from head-to-head arena battles."""
|
||||
|
||||
model_permaslug: str
|
||||
r"""Stable OpenRouter model identifier when the model is on OpenRouter; otherwise the upstream Design Arena model id. Use pricing != null to detect OpenRouter-mapped models."""
|
||||
r"""Stable OpenRouter model identifier when mapped; otherwise the upstream Design Arena model id."""
|
||||
|
||||
pricing: Nullable[BenchmarkPricing]
|
||||
pricing: Nullable[UnifiedBenchmarkPricing]
|
||||
r"""OpenRouter pricing per token for this model. Null if pricing is unavailable."""
|
||||
|
||||
source: UnifiedBenchmarksDAItemSource
|
||||
r"""Benchmark source discriminator."""
|
||||
|
||||
tournament_stats: TournamentStats
|
||||
r"""Placement distribution from tournament matches."""
|
||||
|
||||
@@ -0,0 +1,95 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import BaseModel, Nullable, 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, TypedDict
|
||||
|
||||
|
||||
UnifiedBenchmarksMetaSource = Union[
|
||||
Literal[
|
||||
"artificial-analysis",
|
||||
"design-arena",
|
||||
],
|
||||
UnrecognizedStr,
|
||||
]
|
||||
r"""The source filter applied."""
|
||||
|
||||
|
||||
UnifiedBenchmarksMetaVersion = Literal["v1",]
|
||||
r"""Dataset version."""
|
||||
|
||||
|
||||
class UnifiedBenchmarksMetaTypedDict(TypedDict):
|
||||
as_of: str
|
||||
r"""ISO-8601 timestamp of when this data was last updated."""
|
||||
citation: str
|
||||
r"""Required attribution when republishing this data."""
|
||||
model_count: int
|
||||
r"""Number of unique models in the response."""
|
||||
source: UnifiedBenchmarksMetaSource
|
||||
r"""The source filter applied."""
|
||||
source_url: str
|
||||
r"""URL of the upstream data source."""
|
||||
task_type: Nullable[str]
|
||||
r"""The task_type filter applied, or null if showing all."""
|
||||
version: UnifiedBenchmarksMetaVersion
|
||||
r"""Dataset version."""
|
||||
|
||||
|
||||
class UnifiedBenchmarksMeta(BaseModel):
|
||||
as_of: str
|
||||
r"""ISO-8601 timestamp of when this data was last updated."""
|
||||
|
||||
citation: str
|
||||
r"""Required attribution when republishing this data."""
|
||||
|
||||
model_count: int
|
||||
r"""Number of unique models in the response."""
|
||||
|
||||
source: Annotated[
|
||||
UnifiedBenchmarksMetaSource, PlainValidator(validate_open_enum(False))
|
||||
]
|
||||
r"""The source filter applied."""
|
||||
|
||||
source_url: str
|
||||
r"""URL of the upstream data source."""
|
||||
|
||||
task_type: Nullable[str]
|
||||
r"""The task_type filter applied, or null if showing all."""
|
||||
|
||||
version: UnifiedBenchmarksMetaVersion
|
||||
r"""Dataset version."""
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = []
|
||||
nullable_fields = ["task_type"]
|
||||
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
|
||||
@@ -0,0 +1,43 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from .unifiedbenchmarksaaitem import (
|
||||
UnifiedBenchmarksAAItem,
|
||||
UnifiedBenchmarksAAItemTypedDict,
|
||||
)
|
||||
from .unifiedbenchmarksdaitem import (
|
||||
UnifiedBenchmarksDAItem,
|
||||
UnifiedBenchmarksDAItemTypedDict,
|
||||
)
|
||||
from .unifiedbenchmarksmeta import UnifiedBenchmarksMeta, UnifiedBenchmarksMetaTypedDict
|
||||
from openrouter.types import BaseModel
|
||||
from openrouter.utils import get_discriminator
|
||||
from pydantic import Discriminator, Tag
|
||||
from typing import List, Union
|
||||
from typing_extensions import Annotated, TypeAliasType, TypedDict
|
||||
|
||||
|
||||
DataTypedDict = TypeAliasType(
|
||||
"DataTypedDict",
|
||||
Union[UnifiedBenchmarksAAItemTypedDict, UnifiedBenchmarksDAItemTypedDict],
|
||||
)
|
||||
|
||||
|
||||
Data = Annotated[
|
||||
Union[
|
||||
Annotated[UnifiedBenchmarksAAItem, Tag("artificial-analysis")],
|
||||
Annotated[UnifiedBenchmarksDAItem, Tag("design-arena")],
|
||||
],
|
||||
Discriminator(lambda m: get_discriminator(m, "source", "source")),
|
||||
]
|
||||
|
||||
|
||||
class UnifiedBenchmarksResponseTypedDict(TypedDict):
|
||||
data: List[DataTypedDict]
|
||||
meta: UnifiedBenchmarksMetaTypedDict
|
||||
|
||||
|
||||
class UnifiedBenchmarksResponse(BaseModel):
|
||||
data: List[Data]
|
||||
|
||||
meta: UnifiedBenchmarksMeta
|
||||
Reference in New Issue
Block a user