mirror of
https://github.com/wassname/openrouter-python-sdk-retry-errors.git
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* `open_router.beta.responses.send()`: * `request` **Changed** **Breaking** ⚠️ * `response` **Changed** **Breaking** ⚠️ * `open_router.presets.create_presets_responses()`: `request` **Changed** **Breaking** ⚠️ * `open_router.presets.create_presets_chat_completions()`: `request` **Changed** **Breaking** ⚠️ * `open_router.chat.send()`: `request` **Changed** **Breaking** ⚠️ * `open_router.workspaces.set_budget()`: **Added** * `open_router.o_auth.create_auth_code()`: * `request.workspace_id` **Added** * `error.status[403]` **Added** * `open_router.files.download()`: **Added** * `open_router.models.get()`: **Added** * `open_router.workspaces.list_budgets()`: **Added** * `open_router.workspaces.delete_budget()`: **Added** * `open_router.datasets.get_benchmarks_artificial_analysis()`: **Added** * `open_router.beta.analytics.query_analytics()`: `response.data.warnings` **Added** * `open_router.files.delete()`: **Added** * `open_router.files.retrieve()`: **Added** * `open_router.files.upload()`: **Added** * `open_router.embeddings.list_models()`: `response.data.[].benchmarks` **Added** * `open_router.models.list()`: * `request` **Changed** * `response.data.[].benchmarks` **Added** * `open_router.models.list_for_user()`: `response.data.[].benchmarks` **Added** * `open_router.files.list()`: **Added** * `open_router.presets.create_presets_messages()`: `request` **Changed** * `open_router.datasets.get_benchmarks_design_arena()`: **Added**
340 lines
13 KiB
Python
340 lines
13 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 (
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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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UnrecognizedStr,
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)
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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 Literal, Optional, Union
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from typing_extensions import Annotated, NotRequired, TypedDict
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class GetModelsGlobalsTypedDict(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_open_router_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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x_open_router_categories: NotRequired[str]
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r"""Comma-separated list of app categories (e.g. \"cli-agent,cloud-agent\"). Used for marketplace rankings.
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"""
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class GetModelsGlobals(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_open_router_title: Annotated[
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Optional[str],
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pydantic.Field(alias="X-OpenRouter-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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x_open_router_categories: Annotated[
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Optional[str],
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pydantic.Field(alias="X-OpenRouter-Categories"),
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FieldMetadata(header=HeaderMetadata(style="simple", explode=False)),
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] = None
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r"""Comma-separated list of app categories (e.g. \"cli-agent,cloud-agent\"). Used for marketplace rankings.
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"""
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GetModelsCategory = Union[
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Literal[
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"programming",
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"roleplay",
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"marketing",
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"marketing/seo",
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"technology",
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"science",
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"translation",
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"legal",
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"finance",
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"health",
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"trivia",
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"academia",
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],
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UnrecognizedStr,
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]
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r"""Filter models by use case category"""
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GetModelsSort = Union[
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Literal[
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"most-popular",
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"newest",
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"top-weekly",
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"pricing-low-to-high",
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"pricing-high-to-low",
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"context-high-to-low",
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"throughput-high-to-low",
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"latency-low-to-high",
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],
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UnrecognizedStr,
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]
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r"""Sort the returned models server-side. Prefer this over fetching the full list and sorting client-side. Options: pricing-low-to-high, pricing-high-to-low (average prompt/completion price), context-high-to-low (context length), throughput-high-to-low, latency-low-to-high (recent median performance), most-popular, top-weekly (tokens processed in the last week), newest (creation date). When omitted, the existing default ordering is preserved."""
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Distillable = Union[
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Literal[
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"true",
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"false",
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],
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UnrecognizedStr,
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]
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r"""Filter by distillation capability. \"true\" returns only distillable models, \"false\" excludes them."""
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Zdr = Literal["true",]
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r"""When set to \"true\", return only models with zero data retention endpoints."""
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Region = Literal["eu",]
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r"""Filter to models with endpoints in the given data region. Currently only \"eu\" is supported."""
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class GetModelsRequestTypedDict(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_open_router_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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x_open_router_categories: NotRequired[str]
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r"""Comma-separated list of app categories (e.g. \"cli-agent,cloud-agent\"). Used for marketplace rankings.
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"""
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category: NotRequired[GetModelsCategory]
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r"""Filter models by use case category"""
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supported_parameters: NotRequired[str]
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r"""Filter models by supported parameter (comma-separated)"""
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output_modalities: NotRequired[str]
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r"""Filter models by output modality. Accepts a comma-separated list of modalities (text, image, audio, embeddings) or \"all\" to include all models. Defaults to \"text\"."""
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sort: NotRequired[GetModelsSort]
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r"""Sort the returned models server-side. Prefer this over fetching the full list and sorting client-side. Options: pricing-low-to-high, pricing-high-to-low (average prompt/completion price), context-high-to-low (context length), throughput-high-to-low, latency-low-to-high (recent median performance), most-popular, top-weekly (tokens processed in the last week), newest (creation date). When omitted, the existing default ordering is preserved."""
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q: NotRequired[str]
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r"""Free-text search by model name or slug."""
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input_modalities: NotRequired[str]
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r"""Filter models by input modality. Comma-separated list of: text, image, audio, file."""
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context: NotRequired[int]
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r"""Minimum context length (tokens). Models with smaller context are excluded."""
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min_price: NotRequired[Nullable[float]]
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r"""Minimum prompt price in $/M tokens."""
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max_price: NotRequired[Nullable[float]]
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r"""Maximum prompt price in $/M tokens."""
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arch: NotRequired[str]
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r"""Filter models by architecture/model family (e.g. GPT, Claude, Gemini, Llama)."""
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model_authors: NotRequired[str]
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r"""Filter models by the organization that created the model. Comma-separated list of author slugs."""
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providers: NotRequired[str]
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r"""Filter models by hosting provider. Comma-separated list of provider names."""
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distillable: NotRequired[Distillable]
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r"""Filter by distillation capability. \"true\" returns only distillable models, \"false\" excludes them."""
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zdr: NotRequired[Zdr]
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r"""When set to \"true\", return only models with zero data retention endpoints."""
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region: NotRequired[Region]
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r"""Filter to models with endpoints in the given data region. Currently only \"eu\" is supported."""
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class GetModelsRequest(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_open_router_title: Annotated[
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Optional[str],
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pydantic.Field(alias="X-OpenRouter-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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x_open_router_categories: Annotated[
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Optional[str],
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pydantic.Field(alias="X-OpenRouter-Categories"),
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FieldMetadata(header=HeaderMetadata(style="simple", explode=False)),
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] = None
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r"""Comma-separated list of app categories (e.g. \"cli-agent,cloud-agent\"). Used for marketplace rankings.
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"""
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category: Annotated[
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Annotated[
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Optional[GetModelsCategory], PlainValidator(validate_open_enum(False))
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],
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FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
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] = None
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r"""Filter models by use case category"""
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supported_parameters: Annotated[
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Optional[str],
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FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
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] = None
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r"""Filter models by supported parameter (comma-separated)"""
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output_modalities: Annotated[
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Optional[str],
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FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
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] = None
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r"""Filter models by output modality. Accepts a comma-separated list of modalities (text, image, audio, embeddings) or \"all\" to include all models. Defaults to \"text\"."""
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sort: Annotated[
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Annotated[Optional[GetModelsSort], PlainValidator(validate_open_enum(False))],
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FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
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] = None
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r"""Sort the returned models server-side. Prefer this over fetching the full list and sorting client-side. Options: pricing-low-to-high, pricing-high-to-low (average prompt/completion price), context-high-to-low (context length), throughput-high-to-low, latency-low-to-high (recent median performance), most-popular, top-weekly (tokens processed in the last week), newest (creation date). When omitted, the existing default ordering is preserved."""
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q: Annotated[
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Optional[str],
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FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
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] = None
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r"""Free-text search by model name or slug."""
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input_modalities: Annotated[
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Optional[str],
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FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
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] = None
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r"""Filter models by input modality. Comma-separated list of: text, image, audio, file."""
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context: Annotated[
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Optional[int],
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FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
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] = None
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r"""Minimum context length (tokens). Models with smaller context are excluded."""
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min_price: Annotated[
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OptionalNullable[float],
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FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
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] = UNSET
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r"""Minimum prompt price in $/M tokens."""
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max_price: Annotated[
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OptionalNullable[float],
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FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
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] = UNSET
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r"""Maximum prompt price in $/M tokens."""
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arch: Annotated[
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Optional[str],
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FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
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] = None
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r"""Filter models by architecture/model family (e.g. GPT, Claude, Gemini, Llama)."""
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model_authors: Annotated[
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Optional[str],
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FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
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] = None
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r"""Filter models by the organization that created the model. Comma-separated list of author slugs."""
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providers: Annotated[
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Optional[str],
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FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
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] = None
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r"""Filter models by hosting provider. Comma-separated list of provider names."""
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distillable: Annotated[
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Annotated[Optional[Distillable], PlainValidator(validate_open_enum(False))],
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FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
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] = None
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r"""Filter by distillation capability. \"true\" returns only distillable models, \"false\" excludes them."""
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zdr: Annotated[
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Optional[Zdr],
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FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
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] = None
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r"""When set to \"true\", return only models with zero data retention endpoints."""
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region: Annotated[
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Optional[Region],
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FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
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] = None
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r"""Filter to models with endpoints in the given data region. Currently only \"eu\" is supported."""
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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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"HTTP-Referer",
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"X-OpenRouter-Title",
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"X-OpenRouter-Categories",
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"category",
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"supported_parameters",
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"output_modalities",
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"sort",
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"q",
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"input_modalities",
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"context",
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"min_price",
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"max_price",
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"arch",
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"model_authors",
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"providers",
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"distillable",
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"zdr",
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"region",
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]
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nullable_fields = ["min_price", "max_price"]
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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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