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OpenRouter Team
c7d69e3763
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521 lines
14 KiB
Python
521 lines
14 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 openrouter.types import BaseModel, Nullable, UNSET_SENTINEL, UnrecognizedStr
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from openrouter.utils import (
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FieldMetadata,
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HeaderMetadata,
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QueryParamMetadata,
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validate_open_enum,
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)
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import pydantic
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from pydantic import model_serializer
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from pydantic.functional_validators import PlainValidator
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from typing import List, Literal, Optional, Union
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from typing_extensions import Annotated, NotRequired, TypedDict
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class GetGenerationGlobalsTypedDict(TypedDict):
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http_referer: NotRequired[str]
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r"""The app identifier should be your app's URL and is used as the primary identifier for rankings.
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This is used to track API usage per application.
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"""
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x_title: NotRequired[str]
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r"""The app display name allows you to customize how your app appears in OpenRouter's dashboard.
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"""
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class GetGenerationGlobals(BaseModel):
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http_referer: Annotated[
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Optional[str],
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pydantic.Field(alias="HTTP-Referer"),
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FieldMetadata(header=HeaderMetadata(style="simple", explode=False)),
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] = None
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r"""The app identifier should be your app's URL and is used as the primary identifier for rankings.
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This is used to track API usage per application.
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"""
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x_title: Annotated[
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Optional[str],
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pydantic.Field(alias="X-Title"),
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FieldMetadata(header=HeaderMetadata(style="simple", explode=False)),
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] = None
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r"""The app display name allows you to customize how your app appears in OpenRouter's dashboard.
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"""
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class GetGenerationRequestTypedDict(TypedDict):
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id: str
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http_referer: NotRequired[str]
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r"""The app identifier should be your app's URL and is used as the primary identifier for rankings.
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This is used to track API usage per application.
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"""
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x_title: NotRequired[str]
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r"""The app display name allows you to customize how your app appears in OpenRouter's dashboard.
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"""
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class GetGenerationRequest(BaseModel):
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id: Annotated[
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str, FieldMetadata(query=QueryParamMetadata(style="form", explode=True))
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]
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http_referer: Annotated[
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Optional[str],
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pydantic.Field(alias="HTTP-Referer"),
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FieldMetadata(header=HeaderMetadata(style="simple", explode=False)),
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] = None
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r"""The app identifier should be your app's URL and is used as the primary identifier for rankings.
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This is used to track API usage per application.
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"""
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x_title: Annotated[
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Optional[str],
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pydantic.Field(alias="X-Title"),
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FieldMetadata(header=HeaderMetadata(style="simple", explode=False)),
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] = None
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r"""The app display name allows you to customize how your app appears in OpenRouter's dashboard.
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"""
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APIType = Union[
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Literal[
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"completions",
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"embeddings",
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],
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UnrecognizedStr,
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]
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r"""Type of API used for the generation"""
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ProviderName = Union[
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Literal[
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"AnyScale",
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"Atoma",
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"Cent-ML",
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"CrofAI",
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"Enfer",
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"GoPomelo",
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"HuggingFace",
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"Hyperbolic 2",
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"InoCloud",
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"Kluster",
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"Lambda",
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"Lepton",
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"Lynn 2",
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"Lynn",
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"Mancer",
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"Meta",
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"Modal",
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"Nineteen",
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"OctoAI",
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"Recursal",
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"Reflection",
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"Replicate",
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"SambaNova 2",
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"SF Compute",
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"Targon",
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"Together 2",
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"Ubicloud",
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"01.AI",
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"AI21",
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"AionLabs",
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"Alibaba",
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"Ambient",
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"Amazon Bedrock",
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"Amazon Nova",
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"Anthropic",
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"Arcee AI",
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"AtlasCloud",
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"Avian",
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"Azure",
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"BaseTen",
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"BytePlus",
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"Black Forest Labs",
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"Cerebras",
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"Chutes",
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"Cirrascale",
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"Clarifai",
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"Cloudflare",
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"Cohere",
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"Crusoe",
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"DeepInfra",
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"DeepSeek",
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"Featherless",
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"Fireworks",
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"Friendli",
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"GMICloud",
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"Google",
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"Google AI Studio",
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"Groq",
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"Hyperbolic",
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"Inception",
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"Inceptron",
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"InferenceNet",
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"Infermatic",
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"Io Net",
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"Inflection",
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"Liquid",
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"Mara",
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"Mancer 2",
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"Minimax",
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"ModelRun",
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"Mistral",
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"Modular",
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"Moonshot AI",
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"Morph",
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"NCompass",
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"Nebius",
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"NextBit",
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"Novita",
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"Nvidia",
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"OpenAI",
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"OpenInference",
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"Parasail",
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"Perplexity",
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"Phala",
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"Relace",
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"SambaNova",
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"Seed",
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"SiliconFlow",
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"Sourceful",
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"StepFun",
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"Stealth",
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"StreamLake",
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"Switchpoint",
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"Together",
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"Upstage",
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"Venice",
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"WandB",
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"Xiaomi",
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"xAI",
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"Z.AI",
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"FakeProvider",
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],
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UnrecognizedStr,
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]
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class ProviderResponseTypedDict(TypedDict):
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status: Nullable[float]
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id: NotRequired[str]
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endpoint_id: NotRequired[str]
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model_permaslug: NotRequired[str]
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provider_name: NotRequired[ProviderName]
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latency: NotRequired[float]
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is_byok: NotRequired[bool]
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class ProviderResponse(BaseModel):
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status: Nullable[float]
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id: Optional[str] = None
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endpoint_id: Optional[str] = None
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model_permaslug: Optional[str] = None
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provider_name: Annotated[
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Optional[ProviderName], PlainValidator(validate_open_enum(False))
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] = None
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latency: Optional[float] = None
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is_byok: Optional[bool] = None
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@model_serializer(mode="wrap")
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def serialize_model(self, handler):
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optional_fields = [
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"id",
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"endpoint_id",
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"model_permaslug",
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"provider_name",
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"latency",
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"is_byok",
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]
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nullable_fields = ["status"]
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null_default_fields = []
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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)
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serialized.pop(k, None)
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optional_nullable = k in optional_fields and k in nullable_fields
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is_set = (
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self.__pydantic_fields_set__.intersection({n})
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or k in null_default_fields
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) # pylint: disable=no-member
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if val is not None and val != UNSET_SENTINEL:
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m[k] = val
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elif val != UNSET_SENTINEL and (
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not k in optional_fields or (optional_nullable and is_set)
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):
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m[k] = val
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return m
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class GetGenerationDataTypedDict(TypedDict):
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r"""Generation data"""
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id: str
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r"""Unique identifier for the generation"""
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upstream_id: Nullable[str]
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r"""Upstream provider's identifier for this generation"""
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total_cost: float
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r"""Total cost of the generation in USD"""
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cache_discount: Nullable[float]
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r"""Discount applied due to caching"""
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upstream_inference_cost: Nullable[float]
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r"""Cost charged by the upstream provider"""
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created_at: str
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r"""ISO 8601 timestamp of when the generation was created"""
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model: str
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r"""Model used for the generation"""
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app_id: Nullable[float]
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r"""ID of the app that made the request"""
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streamed: Nullable[bool]
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r"""Whether the response was streamed"""
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cancelled: Nullable[bool]
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r"""Whether the generation was cancelled"""
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provider_name: Nullable[str]
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r"""Name of the provider that served the request"""
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latency: Nullable[float]
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r"""Total latency in milliseconds"""
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moderation_latency: Nullable[float]
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r"""Moderation latency in milliseconds"""
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generation_time: Nullable[float]
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r"""Time taken for generation in milliseconds"""
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finish_reason: Nullable[str]
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r"""Reason the generation finished"""
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tokens_prompt: Nullable[float]
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r"""Number of tokens in the prompt"""
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tokens_completion: Nullable[float]
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r"""Number of tokens in the completion"""
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native_tokens_prompt: Nullable[float]
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r"""Native prompt tokens as reported by provider"""
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native_tokens_completion: Nullable[float]
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r"""Native completion tokens as reported by provider"""
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native_tokens_completion_images: Nullable[float]
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r"""Native completion image tokens as reported by provider"""
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native_tokens_reasoning: Nullable[float]
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r"""Native reasoning tokens as reported by provider"""
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native_tokens_cached: Nullable[float]
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r"""Native cached tokens as reported by provider"""
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num_media_prompt: Nullable[float]
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r"""Number of media items in the prompt"""
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num_input_audio_prompt: Nullable[float]
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r"""Number of audio inputs in the prompt"""
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num_media_completion: Nullable[float]
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r"""Number of media items in the completion"""
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num_search_results: Nullable[float]
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r"""Number of search results included"""
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origin: str
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r"""Origin URL of the request"""
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usage: float
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r"""Usage amount in USD"""
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is_byok: bool
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r"""Whether this used bring-your-own-key"""
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native_finish_reason: Nullable[str]
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r"""Native finish reason as reported by provider"""
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external_user: Nullable[str]
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r"""External user identifier"""
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api_type: Nullable[APIType]
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r"""Type of API used for the generation"""
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router: Nullable[str]
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r"""Router used for the request (e.g., openrouter/auto)"""
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provider_responses: Nullable[List[ProviderResponseTypedDict]]
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r"""List of provider responses for this generation, including fallback attempts"""
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class GetGenerationData(BaseModel):
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r"""Generation data"""
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id: str
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r"""Unique identifier for the generation"""
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upstream_id: Nullable[str]
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r"""Upstream provider's identifier for this generation"""
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total_cost: float
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r"""Total cost of the generation in USD"""
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cache_discount: Nullable[float]
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r"""Discount applied due to caching"""
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upstream_inference_cost: Nullable[float]
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r"""Cost charged by the upstream provider"""
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created_at: str
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r"""ISO 8601 timestamp of when the generation was created"""
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model: str
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r"""Model used for the generation"""
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app_id: Nullable[float]
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r"""ID of the app that made the request"""
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streamed: Nullable[bool]
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r"""Whether the response was streamed"""
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cancelled: Nullable[bool]
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r"""Whether the generation was cancelled"""
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provider_name: Nullable[str]
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r"""Name of the provider that served the request"""
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latency: Nullable[float]
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r"""Total latency in milliseconds"""
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moderation_latency: Nullable[float]
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r"""Moderation latency in milliseconds"""
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generation_time: Nullable[float]
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r"""Time taken for generation in milliseconds"""
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finish_reason: Nullable[str]
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r"""Reason the generation finished"""
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tokens_prompt: Nullable[float]
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r"""Number of tokens in the prompt"""
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tokens_completion: Nullable[float]
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r"""Number of tokens in the completion"""
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native_tokens_prompt: Nullable[float]
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r"""Native prompt tokens as reported by provider"""
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native_tokens_completion: Nullable[float]
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r"""Native completion tokens as reported by provider"""
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native_tokens_completion_images: Nullable[float]
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r"""Native completion image tokens as reported by provider"""
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native_tokens_reasoning: Nullable[float]
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r"""Native reasoning tokens as reported by provider"""
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native_tokens_cached: Nullable[float]
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r"""Native cached tokens as reported by provider"""
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num_media_prompt: Nullable[float]
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r"""Number of media items in the prompt"""
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num_input_audio_prompt: Nullable[float]
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r"""Number of audio inputs in the prompt"""
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num_media_completion: Nullable[float]
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r"""Number of media items in the completion"""
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num_search_results: Nullable[float]
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r"""Number of search results included"""
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origin: str
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r"""Origin URL of the request"""
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usage: float
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r"""Usage amount in USD"""
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is_byok: bool
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r"""Whether this used bring-your-own-key"""
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native_finish_reason: Nullable[str]
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r"""Native finish reason as reported by provider"""
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external_user: Nullable[str]
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r"""External user identifier"""
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api_type: Annotated[Nullable[APIType], PlainValidator(validate_open_enum(False))]
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r"""Type of API used for the generation"""
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router: Nullable[str]
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r"""Router used for the request (e.g., openrouter/auto)"""
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provider_responses: Nullable[List[ProviderResponse]]
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r"""List of provider responses for this generation, including fallback attempts"""
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@model_serializer(mode="wrap")
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def serialize_model(self, handler):
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optional_fields = []
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nullable_fields = [
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"upstream_id",
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"cache_discount",
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"upstream_inference_cost",
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"app_id",
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"streamed",
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"cancelled",
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"provider_name",
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"latency",
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"moderation_latency",
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"generation_time",
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"finish_reason",
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"tokens_prompt",
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"tokens_completion",
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"native_tokens_prompt",
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"native_tokens_completion",
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"native_tokens_completion_images",
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"native_tokens_reasoning",
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"native_tokens_cached",
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"num_media_prompt",
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"num_input_audio_prompt",
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"num_media_completion",
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"num_search_results",
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"native_finish_reason",
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"external_user",
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"api_type",
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"router",
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"provider_responses",
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]
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null_default_fields = []
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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)
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serialized.pop(k, None)
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optional_nullable = k in optional_fields and k in nullable_fields
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is_set = (
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self.__pydantic_fields_set__.intersection({n})
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or k in null_default_fields
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) # pylint: disable=no-member
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if val is not None and val != UNSET_SENTINEL:
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m[k] = val
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elif val != UNSET_SENTINEL and (
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not k in optional_fields or (optional_nullable and is_set)
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):
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m[k] = val
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return m
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class GetGenerationResponseTypedDict(TypedDict):
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r"""Generation response"""
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data: GetGenerationDataTypedDict
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r"""Generation data"""
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class GetGenerationResponse(BaseModel):
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r"""Generation response"""
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data: GetGenerationData
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r"""Generation data"""
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