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**
171 lines
5.3 KiB
Python
171 lines
5.3 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 .anthropicbase64pdfsource import (
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AnthropicBase64PdfSource,
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AnthropicBase64PdfSourceTypedDict,
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)
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from .anthropiccachecontroldirective import (
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AnthropicCacheControlDirective,
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AnthropicCacheControlDirectiveTypedDict,
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)
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from .anthropicfiledocumentsource import (
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AnthropicFileDocumentSource,
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AnthropicFileDocumentSourceTypedDict,
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)
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from .anthropicimageblockparam import (
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AnthropicImageBlockParam,
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AnthropicImageBlockParamTypedDict,
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)
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from .anthropicplaintextsource import (
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AnthropicPlainTextSource,
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AnthropicPlainTextSourceTypedDict,
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)
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from .anthropictextblockparam import (
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AnthropicTextBlockParam,
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AnthropicTextBlockParamTypedDict,
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)
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from .anthropicurlpdfsource import AnthropicURLPdfSource, AnthropicURLPdfSourceTypedDict
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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 openrouter.utils import get_discriminator
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from pydantic import Discriminator, Tag, model_serializer
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from typing import List, Literal, Optional, Union
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from typing_extensions import Annotated, NotRequired, TypeAliasType, TypedDict
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class AnthropicDocumentBlockParamCitationsTypedDict(TypedDict):
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enabled: NotRequired[bool]
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class AnthropicDocumentBlockParamCitations(BaseModel):
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enabled: Optional[bool] = None
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AnthropicDocumentBlockParamContent1TypedDict = TypeAliasType(
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"AnthropicDocumentBlockParamContent1TypedDict",
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Union[AnthropicImageBlockParamTypedDict, AnthropicTextBlockParamTypedDict],
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)
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AnthropicDocumentBlockParamContent1 = Annotated[
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Union[
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Annotated[AnthropicImageBlockParam, Tag("image")],
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Annotated[AnthropicTextBlockParam, Tag("text")],
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],
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Discriminator(lambda m: get_discriminator(m, "type", "type")),
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]
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AnthropicDocumentBlockParamContent2TypedDict = TypeAliasType(
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"AnthropicDocumentBlockParamContent2TypedDict",
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Union[str, List[AnthropicDocumentBlockParamContent1TypedDict]],
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)
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AnthropicDocumentBlockParamContent2 = TypeAliasType(
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"AnthropicDocumentBlockParamContent2",
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Union[str, List[AnthropicDocumentBlockParamContent1]],
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)
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SourceType = Literal["content",]
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class SourceContentTypedDict(TypedDict):
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content: AnthropicDocumentBlockParamContent2TypedDict
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type: SourceType
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class SourceContent(BaseModel):
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content: AnthropicDocumentBlockParamContent2
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type: SourceType
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AnthropicDocumentBlockParamSourceUnionTypedDict = TypeAliasType(
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"AnthropicDocumentBlockParamSourceUnionTypedDict",
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Union[
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SourceContentTypedDict,
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AnthropicURLPdfSourceTypedDict,
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AnthropicFileDocumentSourceTypedDict,
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AnthropicBase64PdfSourceTypedDict,
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AnthropicPlainTextSourceTypedDict,
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],
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)
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AnthropicDocumentBlockParamSourceUnion = Annotated[
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Union[
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Annotated[AnthropicBase64PdfSource, Tag("base64")],
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Annotated[AnthropicPlainTextSource, Tag("text")],
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Annotated[SourceContent, Tag("content")],
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Annotated[AnthropicURLPdfSource, Tag("url")],
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Annotated[AnthropicFileDocumentSource, Tag("file")],
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],
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Discriminator(lambda m: get_discriminator(m, "type", "type")),
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]
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TypeDocument = Literal["document",]
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class AnthropicDocumentBlockParamTypedDict(TypedDict):
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source: AnthropicDocumentBlockParamSourceUnionTypedDict
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type: TypeDocument
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cache_control: NotRequired[AnthropicCacheControlDirectiveTypedDict]
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r"""Enable automatic prompt caching. When set at the top level, the system automatically applies cache breakpoints to the last cacheable block in the request. Currently supported for Anthropic Claude models."""
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citations: NotRequired[Nullable[AnthropicDocumentBlockParamCitationsTypedDict]]
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context: NotRequired[Nullable[str]]
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title: NotRequired[Nullable[str]]
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class AnthropicDocumentBlockParam(BaseModel):
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source: AnthropicDocumentBlockParamSourceUnion
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type: TypeDocument
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cache_control: Optional[AnthropicCacheControlDirective] = None
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r"""Enable automatic prompt caching. When set at the top level, the system automatically applies cache breakpoints to the last cacheable block in the request. Currently supported for Anthropic Claude models."""
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citations: OptionalNullable[AnthropicDocumentBlockParamCitations] = UNSET
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context: OptionalNullable[str] = UNSET
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title: OptionalNullable[str] = UNSET
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@model_serializer(mode="wrap")
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def serialize_model(self, handler):
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optional_fields = ["cache_control", "citations", "context", "title"]
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nullable_fields = ["citations", "context", "title"]
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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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