"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.""" from __future__ import annotations 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 from .topproviderinfo import TopProviderInfo, TopProviderInfoTypedDict from openrouter.types import ( BaseModel, Nullable, OptionalNullable, UNSET, UNSET_SENTINEL, ) from pydantic import model_serializer from typing import List, Optional from typing_extensions import NotRequired, TypedDict class ModelTypedDict(TypedDict): r"""Information about an AI model available on OpenRouter""" architecture: ModelArchitectureTypedDict r"""Model architecture information""" canonical_slug: str r"""Canonical slug for the model""" context_length: Nullable[int] r"""Maximum context length in tokens""" created: int r"""Unix timestamp of when the model was created""" default_parameters: Nullable[DefaultParametersTypedDict] r"""Default parameters for this model""" id: str r"""Unique identifier for the model""" links: ModelLinksTypedDict r"""Related API endpoints and resources for this model.""" name: str r"""Display name of the model""" per_request_limits: Nullable[PerRequestLimitsTypedDict] r"""Per-request token limits""" pricing: PublicPricingTypedDict r"""Pricing information for the model""" supported_parameters: List[Parameter] r"""List of supported parameters for this model""" supported_voices: Nullable[List[str]] r"""List of supported voice identifiers for TTS models. Null for non-TTS models.""" top_provider: TopProviderInfoTypedDict r"""Information about the top provider for this model""" benchmarks: NotRequired[ModelBenchmarksTypedDict] r"""Third-party benchmark rankings for this model. Omitted when no benchmark data is available.""" description: NotRequired[str] r"""Description of the model""" expiration_date: NotRequired[Nullable[str]] r"""The date after which the model may be removed. ISO 8601 date string (YYYY-MM-DD) or null if no expiration.""" hugging_face_id: NotRequired[Nullable[str]] 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): r"""Information about an AI model available on OpenRouter""" architecture: ModelArchitecture r"""Model architecture information""" canonical_slug: str r"""Canonical slug for the model""" context_length: Nullable[int] r"""Maximum context length in tokens""" created: int r"""Unix timestamp of when the model was created""" default_parameters: Nullable[DefaultParameters] r"""Default parameters for this model""" id: str r"""Unique identifier for the model""" links: ModelLinks r"""Related API endpoints and resources for this model.""" name: str r"""Display name of the model""" per_request_limits: Nullable[PerRequestLimits] r"""Per-request token limits""" pricing: PublicPricing r"""Pricing information for the model""" supported_parameters: List[Parameter] r"""List of supported parameters for this model""" supported_voices: Nullable[List[str]] r"""List of supported voice identifiers for TTS models. Null for non-TTS models.""" top_provider: TopProviderInfo r"""Information about the top provider for this model""" benchmarks: Optional[ModelBenchmarks] = None r"""Third-party benchmark rankings for this model. Omitted when no benchmark data is available.""" description: Optional[str] = None r"""Description of the model""" expiration_date: OptionalNullable[str] = UNSET r"""The date after which the model may be removed. ISO 8601 date string (YYYY-MM-DD) or null if no expiration.""" hugging_face_id: OptionalNullable[str] = UNSET r"""Hugging Face model identifier, if applicable""" 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 = set( [ "benchmarks", "description", "expiration_date", "hugging_face_id", "knowledge_cutoff", "reasoning", ] ) nullable_fields = set( [ "context_length", "default_parameters", "expiration_date", "hugging_face_id", "knowledge_cutoff", "per_request_limits", "supported_voices", ] ) serialized = handler(self) m = {} for n, f in type(self).model_fields.items(): k = f.alias or n val = serialized.get(k, serialized.get(n)) is_nullable_and_explicitly_set = ( k in nullable_fields and (self.__pydantic_fields_set__.intersection({n})) # pylint: disable=no-member ) if val != UNSET_SENTINEL: if ( val is not None or k not in optional_fields or is_nullable_and_explicitly_set ): m[k] = val return m