mirror of
https://github.com/wassname/openrouter-python-sdk-retry-errors.git
synced 2026-08-02 12:50:48 +08:00
fix: update OpenAPI spec with router field (#32)
This commit is contained in:
Matt Apperson
@@ -34,10 +34,16 @@ from .openresponseswebsearchtool import (
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OpenResponsesWebSearchToolTypedDict,
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)
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from .pdfparseroptions import PDFParserOptions, PDFParserOptionsTypedDict
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from .preferredmaxlatency import PreferredMaxLatency, PreferredMaxLatencyTypedDict
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from .preferredminthroughput import (
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PreferredMinThroughput,
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PreferredMinThroughputTypedDict,
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)
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from .providername import ProviderName
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from .providersort import ProviderSort
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from .providersortconfig import ProviderSortConfig, ProviderSortConfigTypedDict
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from .quantization import Quantization
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from .responsesoutputmodality import ResponsesOutputModality
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from .websearchengine import WebSearchEngine
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from openrouter.types import (
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BaseModel,
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@@ -139,6 +145,16 @@ OpenResponsesRequestToolUnion = Annotated[
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]
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OpenResponsesRequestImageConfigTypedDict = TypeAliasType(
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"OpenResponsesRequestImageConfigTypedDict", Union[str, float]
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)
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OpenResponsesRequestImageConfig = TypeAliasType(
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"OpenResponsesRequestImageConfig", Union[str, float]
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)
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ServiceTier = Literal["auto",]
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@@ -269,14 +285,10 @@ class OpenResponsesRequestProviderTypedDict(TypedDict):
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r"""The sorting strategy to use for this request, if \"order\" is not specified. When set, no load balancing is performed."""
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max_price: NotRequired[OpenResponsesRequestMaxPriceTypedDict]
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r"""The object specifying the maximum price you want to pay for this request. USD price per million tokens, for prompt and completion."""
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preferred_min_throughput: NotRequired[Nullable[float]]
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r"""Preferred minimum throughput (in tokens per second). Endpoints below this threshold may still be used, but are deprioritized in routing. When using fallback models, this may cause a fallback model to be used instead of the primary model if it meets the threshold."""
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preferred_max_latency: NotRequired[Nullable[float]]
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r"""Preferred maximum latency (in seconds). Endpoints above this threshold may still be used, but are deprioritized in routing. When using fallback models, this may cause a fallback model to be used instead of the primary model if it meets the threshold."""
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min_throughput: NotRequired[Nullable[float]]
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r"""**DEPRECATED** Use preferred_min_throughput instead. Backwards-compatible alias for preferred_min_throughput."""
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max_latency: NotRequired[Nullable[float]]
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r"""**DEPRECATED** Use preferred_max_latency instead. Backwards-compatible alias for preferred_max_latency."""
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preferred_min_throughput: NotRequired[Nullable[PreferredMinThroughputTypedDict]]
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r"""Preferred minimum throughput (in tokens per second). Can be a number (applies to p50) or an object with percentile-specific cutoffs. Endpoints below the threshold(s) may still be used, but are deprioritized in routing. When using fallback models, this may cause a fallback model to be used instead of the primary model if it meets the threshold."""
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preferred_max_latency: NotRequired[Nullable[PreferredMaxLatencyTypedDict]]
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r"""Preferred maximum latency (in seconds). Can be a number (applies to p50) or an object with percentile-specific cutoffs. Endpoints above the threshold(s) may still be used, but are deprioritized in routing. When using fallback models, this may cause a fallback model to be used instead of the primary model if it meets the threshold."""
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class OpenResponsesRequestProvider(BaseModel):
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@@ -327,27 +339,11 @@ class OpenResponsesRequestProvider(BaseModel):
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max_price: Optional[OpenResponsesRequestMaxPrice] = None
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r"""The object specifying the maximum price you want to pay for this request. USD price per million tokens, for prompt and completion."""
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preferred_min_throughput: OptionalNullable[float] = UNSET
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r"""Preferred minimum throughput (in tokens per second). Endpoints below this threshold may still be used, but are deprioritized in routing. When using fallback models, this may cause a fallback model to be used instead of the primary model if it meets the threshold."""
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preferred_min_throughput: OptionalNullable[PreferredMinThroughput] = UNSET
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r"""Preferred minimum throughput (in tokens per second). Can be a number (applies to p50) or an object with percentile-specific cutoffs. Endpoints below the threshold(s) may still be used, but are deprioritized in routing. When using fallback models, this may cause a fallback model to be used instead of the primary model if it meets the threshold."""
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preferred_max_latency: OptionalNullable[float] = UNSET
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r"""Preferred maximum latency (in seconds). Endpoints above this threshold may still be used, but are deprioritized in routing. When using fallback models, this may cause a fallback model to be used instead of the primary model if it meets the threshold."""
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min_throughput: Annotated[
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OptionalNullable[float],
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pydantic.Field(
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deprecated="warning: ** DEPRECATED ** - Use preferred_min_throughput instead.."
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),
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] = UNSET
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r"""**DEPRECATED** Use preferred_min_throughput instead. Backwards-compatible alias for preferred_min_throughput."""
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max_latency: Annotated[
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OptionalNullable[float],
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pydantic.Field(
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deprecated="warning: ** DEPRECATED ** - Use preferred_max_latency instead.."
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),
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] = UNSET
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r"""**DEPRECATED** Use preferred_max_latency instead. Backwards-compatible alias for preferred_max_latency."""
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preferred_max_latency: OptionalNullable[PreferredMaxLatency] = UNSET
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r"""Preferred maximum latency (in seconds). Can be a number (applies to p50) or an object with percentile-specific cutoffs. Endpoints above the threshold(s) may still be used, but are deprioritized in routing. When using fallback models, this may cause a fallback model to be used instead of the primary model if it meets the threshold."""
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@model_serializer(mode="wrap")
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def serialize_model(self, handler):
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@@ -365,8 +361,6 @@ class OpenResponsesRequestProvider(BaseModel):
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"max_price",
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"preferred_min_throughput",
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"preferred_max_latency",
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"min_throughput",
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"max_latency",
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]
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nullable_fields = [
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"allow_fallbacks",
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@@ -381,8 +375,6 @@ class OpenResponsesRequestProvider(BaseModel):
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"sort",
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"preferred_min_throughput",
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"preferred_max_latency",
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"min_throughput",
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"max_latency",
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]
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null_default_fields = []
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@@ -488,11 +480,33 @@ class OpenResponsesRequestPluginModeration(BaseModel):
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id: IDModeration
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IDAutoRouter = Literal["auto-router",]
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class OpenResponsesRequestPluginAutoRouterTypedDict(TypedDict):
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id: IDAutoRouter
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enabled: NotRequired[bool]
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r"""Set to false to disable the auto-router plugin for this request. Defaults to true."""
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allowed_models: NotRequired[List[str]]
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r"""List of model patterns to filter which models the auto-router can route between. Supports wildcards (e.g., \"anthropic/*\" matches all Anthropic models). When not specified, uses the default supported models list."""
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class OpenResponsesRequestPluginAutoRouter(BaseModel):
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id: IDAutoRouter
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enabled: Optional[bool] = None
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r"""Set to false to disable the auto-router plugin for this request. Defaults to true."""
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allowed_models: Optional[List[str]] = None
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r"""List of model patterns to filter which models the auto-router can route between. Supports wildcards (e.g., \"anthropic/*\" matches all Anthropic models). When not specified, uses the default supported models list."""
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OpenResponsesRequestPluginUnionTypedDict = TypeAliasType(
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"OpenResponsesRequestPluginUnionTypedDict",
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Union[
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OpenResponsesRequestPluginModerationTypedDict,
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OpenResponsesRequestPluginResponseHealingTypedDict,
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OpenResponsesRequestPluginAutoRouterTypedDict,
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OpenResponsesRequestPluginFileParserTypedDict,
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OpenResponsesRequestPluginWebTypedDict,
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],
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@@ -501,6 +515,7 @@ OpenResponsesRequestPluginUnionTypedDict = TypeAliasType(
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OpenResponsesRequestPluginUnion = Annotated[
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Union[
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Annotated[OpenResponsesRequestPluginAutoRouter, Tag("auto-router")],
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Annotated[OpenResponsesRequestPluginModeration, Tag("moderation")],
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Annotated[OpenResponsesRequestPluginWeb, Tag("web")],
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Annotated[OpenResponsesRequestPluginFileParser, Tag("file-parser")],
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@@ -530,7 +545,15 @@ class OpenResponsesRequestTypedDict(TypedDict):
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max_output_tokens: NotRequired[Nullable[float]]
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temperature: NotRequired[Nullable[float]]
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top_p: NotRequired[Nullable[float]]
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top_logprobs: NotRequired[Nullable[int]]
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max_tool_calls: NotRequired[Nullable[int]]
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presence_penalty: NotRequired[Nullable[float]]
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frequency_penalty: NotRequired[Nullable[float]]
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top_k: NotRequired[float]
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image_config: NotRequired[Dict[str, OpenResponsesRequestImageConfigTypedDict]]
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r"""Provider-specific image configuration options. Keys and values vary by model/provider. See https://openrouter.ai/docs/features/multimodal/image-generation for more details."""
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modalities: NotRequired[List[ResponsesOutputModality]]
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r"""Output modalities for the response. Supported values are \"text\" and \"image\"."""
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prompt_cache_key: NotRequired[Nullable[str]]
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previous_response_id: NotRequired[Nullable[str]]
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prompt: NotRequired[Nullable[OpenAIResponsesPromptTypedDict]]
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@@ -584,8 +607,28 @@ class OpenResponsesRequest(BaseModel):
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top_p: OptionalNullable[float] = UNSET
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top_logprobs: OptionalNullable[int] = UNSET
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max_tool_calls: OptionalNullable[int] = UNSET
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presence_penalty: OptionalNullable[float] = UNSET
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frequency_penalty: OptionalNullable[float] = UNSET
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top_k: Optional[float] = None
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image_config: Optional[Dict[str, OpenResponsesRequestImageConfig]] = None
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r"""Provider-specific image configuration options. Keys and values vary by model/provider. See https://openrouter.ai/docs/features/multimodal/image-generation for more details."""
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modalities: Optional[
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List[
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Annotated[
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ResponsesOutputModality, PlainValidator(validate_open_enum(False))
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]
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]
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] = None
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r"""Output modalities for the response. Supported values are \"text\" and \"image\"."""
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prompt_cache_key: OptionalNullable[str] = UNSET
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previous_response_id: OptionalNullable[str] = UNSET
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@@ -645,7 +688,13 @@ class OpenResponsesRequest(BaseModel):
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"max_output_tokens",
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"temperature",
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"top_p",
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"top_logprobs",
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"max_tool_calls",
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"presence_penalty",
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"frequency_penalty",
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"top_k",
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"image_config",
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"modalities",
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"prompt_cache_key",
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"previous_response_id",
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"prompt",
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@@ -669,6 +718,10 @@ class OpenResponsesRequest(BaseModel):
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"max_output_tokens",
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"temperature",
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"top_p",
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"top_logprobs",
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"max_tool_calls",
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"presence_penalty",
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"frequency_penalty",
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"prompt_cache_key",
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"previous_response_id",
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"prompt",
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