mirror of
https://github.com/wassname/openrouter-python-sdk-retry-errors.git
synced 2026-07-30 12:20:57 +08:00
171 lines
6.1 KiB
Python
171 lines
6.1 KiB
Python
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
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from __future__ import annotations
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from .defaultparameters import DefaultParameters, DefaultParametersTypedDict
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from .modelarchitecture import ModelArchitecture, ModelArchitectureTypedDict
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from .modelbenchmarks import ModelBenchmarks, ModelBenchmarksTypedDict
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from .modellinks import ModelLinks, ModelLinksTypedDict
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from .modelreasoning import ModelReasoning, ModelReasoningTypedDict
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from .parameter import Parameter
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from .perrequestlimits import PerRequestLimits, PerRequestLimitsTypedDict
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from .publicpricing import PublicPricing, PublicPricingTypedDict
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from .topproviderinfo import TopProviderInfo, TopProviderInfoTypedDict
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from openrouter.types import (
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BaseModel,
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Nullable,
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OptionalNullable,
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UNSET,
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UNSET_SENTINEL,
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)
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from pydantic import model_serializer
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from typing import List, Optional
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from typing_extensions import NotRequired, TypedDict
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class ModelTypedDict(TypedDict):
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r"""Information about an AI model available on OpenRouter"""
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architecture: ModelArchitectureTypedDict
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r"""Model architecture information"""
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canonical_slug: str
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r"""Canonical slug for the model"""
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context_length: Nullable[int]
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r"""Maximum context length in tokens"""
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created: int
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r"""Unix timestamp of when the model was created"""
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default_parameters: Nullable[DefaultParametersTypedDict]
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r"""Default parameters for this model"""
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id: str
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r"""Unique identifier for the model"""
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links: ModelLinksTypedDict
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r"""Related API endpoints and resources for this model."""
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name: str
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r"""Display name of the model"""
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per_request_limits: Nullable[PerRequestLimitsTypedDict]
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r"""Per-request token limits"""
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pricing: PublicPricingTypedDict
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r"""Pricing information for the model"""
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supported_parameters: List[Parameter]
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r"""List of supported parameters for this model"""
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supported_voices: Nullable[List[str]]
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r"""List of supported voice identifiers for TTS models. Null for non-TTS models."""
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top_provider: TopProviderInfoTypedDict
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r"""Information about the top provider for this model"""
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benchmarks: NotRequired[ModelBenchmarksTypedDict]
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r"""Third-party benchmark rankings for this model. Omitted when no benchmark data is available."""
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description: NotRequired[str]
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r"""Description of the model"""
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expiration_date: NotRequired[Nullable[str]]
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r"""The date after which the model may be removed. ISO 8601 date string (YYYY-MM-DD) or null if no expiration."""
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hugging_face_id: NotRequired[Nullable[str]]
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r"""Hugging Face model identifier, if applicable"""
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knowledge_cutoff: NotRequired[Nullable[str]]
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r"""The date up to which the model was trained on data. ISO 8601 date string (YYYY-MM-DD) or null if unknown."""
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reasoning: NotRequired[ModelReasoningTypedDict]
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r"""Reasoning effort configuration. Omitted for non-reasoning models and dynamic router models."""
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class Model(BaseModel):
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r"""Information about an AI model available on OpenRouter"""
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architecture: ModelArchitecture
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r"""Model architecture information"""
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canonical_slug: str
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r"""Canonical slug for the model"""
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context_length: Nullable[int]
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r"""Maximum context length in tokens"""
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created: int
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r"""Unix timestamp of when the model was created"""
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default_parameters: Nullable[DefaultParameters]
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r"""Default parameters for this model"""
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id: str
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r"""Unique identifier for the model"""
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links: ModelLinks
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r"""Related API endpoints and resources for this model."""
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name: str
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r"""Display name of the model"""
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per_request_limits: Nullable[PerRequestLimits]
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r"""Per-request token limits"""
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pricing: PublicPricing
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r"""Pricing information for the model"""
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supported_parameters: List[Parameter]
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r"""List of supported parameters for this model"""
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supported_voices: Nullable[List[str]]
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r"""List of supported voice identifiers for TTS models. Null for non-TTS models."""
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top_provider: TopProviderInfo
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r"""Information about the top provider for this model"""
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benchmarks: Optional[ModelBenchmarks] = None
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r"""Third-party benchmark rankings for this model. Omitted when no benchmark data is available."""
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description: Optional[str] = None
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r"""Description of the model"""
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expiration_date: OptionalNullable[str] = UNSET
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r"""The date after which the model may be removed. ISO 8601 date string (YYYY-MM-DD) or null if no expiration."""
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hugging_face_id: OptionalNullable[str] = UNSET
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r"""Hugging Face model identifier, if applicable"""
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knowledge_cutoff: OptionalNullable[str] = UNSET
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r"""The date up to which the model was trained on data. ISO 8601 date string (YYYY-MM-DD) or null if unknown."""
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reasoning: Optional[ModelReasoning] = None
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r"""Reasoning effort configuration. Omitted for non-reasoning models and dynamic router models."""
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@model_serializer(mode="wrap")
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def serialize_model(self, handler):
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optional_fields = set(
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[
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"benchmarks",
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"description",
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"expiration_date",
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"hugging_face_id",
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"knowledge_cutoff",
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"reasoning",
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]
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)
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nullable_fields = set(
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[
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"context_length",
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"default_parameters",
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"expiration_date",
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"hugging_face_id",
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"knowledge_cutoff",
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"per_request_limits",
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"supported_voices",
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]
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)
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serialized = handler(self)
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m = {}
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for n, f in type(self).model_fields.items():
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k = f.alias or n
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val = serialized.get(k, serialized.get(n))
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is_nullable_and_explicitly_set = (
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k in nullable_fields
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and (self.__pydantic_fields_set__.intersection({n})) # pylint: disable=no-member
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)
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if val != UNSET_SENTINEL:
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if (
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val is not None
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or k not in optional_fields
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or is_nullable_and_explicitly_set
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):
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m[k] = val
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return m
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