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https://github.com/wassname/openrouter-python-sdk-retry-errors.git
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## Python SDK Changes:
* `open_router.api_keys.list()`: * `request` **Changed** **Breaking** ⚠️ * `response.data.[]` **Changed** **Breaking** ⚠️ * `open_router.guardrails.get()`: `response.data` **Changed** **Breaking** ⚠️ * `open_router.o_auth.create_auth_code()`: `response.data.app_id` **Changed** **Breaking** ⚠️ * `open_router.guardrails.bulk_unassign_members()`: `response.unassigned_count` **Changed** **Breaking** ⚠️ * `open_router.guardrails.bulk_unassign_keys()`: `response.unassigned_count` **Changed** **Breaking** ⚠️ * `open_router.guardrails.bulk_assign_members()`: `response.assigned_count` **Changed** **Breaking** ⚠️ * `open_router.guardrails.list_guardrail_member_assignments()`: * `request` **Changed** **Breaking** ⚠️ * `response.total_count` **Changed** **Breaking** ⚠️ * `open_router.beta.responses.send()`: * `request` **Changed** **Breaking** ⚠️ * `response` **Changed** **Breaking** ⚠️ * `open_router.analytics.get_user_activity()`: * `request` **Changed** * `response.data.[]` **Changed** **Breaking** ⚠️ * `error.status[404]` **Added** * `open_router.chat.send()`: * `request` **Changed** **Breaking** ⚠️ * `response` **Changed** **Breaking** ⚠️ * `open_router.embeddings.generate()`: * `request.provider` **Changed** **Breaking** ⚠️ * `response` **Changed** **Breaking** ⚠️ * `open_router.embeddings.list_models()`: `response.data.[]` **Changed** **Breaking** ⚠️ * `open_router.generations.get_generation()`: `response.data` **Changed** **Breaking** ⚠️ * `open_router.models.count()`: `response.data.count` **Changed** **Breaking** ⚠️ * `open_router.models.list()`: `response.data.[]` **Changed** **Breaking** ⚠️ * `open_router.models.list_for_user()`: `response.data.[]` **Changed** **Breaking** ⚠️ * `open_router.endpoints.list_zdr_endpoints()`: `response.data.[]` **Changed** **Breaking** ⚠️ * `open_router.guardrails.bulk_assign_keys()`: `response.assigned_count` **Changed** **Breaking** ⚠️ * `open_router.guardrails.list_member_assignments()`: * `request` **Changed** **Breaking** ⚠️ * `response.total_count` **Changed** **Breaking** ⚠️ * `open_router.api_keys.create()`: * `request` **Changed** **Breaking** ⚠️ * `response.data` **Changed** **Breaking** ⚠️ * `open_router.api_keys.update()`: * `request.limit` **Changed** **Breaking** ⚠️ * `response.data` **Changed** **Breaking** ⚠️ * `open_router.api_keys.get()`: `response.data` **Changed** **Breaking** ⚠️ * `open_router.api_keys.get_current_key_metadata()`: `response.data` **Changed** **Breaking** ⚠️ * `open_router.guardrails.list()`: * `request` **Changed** **Breaking** ⚠️ * `response` **Changed** **Breaking** ⚠️ * `open_router.guardrails.create()`: * `request` **Changed** **Breaking** ⚠️ * `response.data` **Changed** **Breaking** ⚠️ * `open_router.endpoints.list()`: `response.data` **Changed** **Breaking** ⚠️ * `open_router.guardrails.update()`: * `request` **Changed** **Breaking** ⚠️ * `response.data` **Changed** **Breaking** ⚠️ * `open_router.guardrails.list_key_assignments()`: * `request` **Changed** **Breaking** ⚠️ * `response.total_count` **Changed** **Breaking** ⚠️ * `open_router.guardrails.list_guardrail_key_assignments()`: * `request` **Changed** **Breaking** ⚠️ * `response.total_count` **Changed** **Breaking** ⚠️ * `open_router.organization.list_members()`: **Added** * `open_router.rerank.rerank()`: **Added** * `open_router.credits.create_coinbase_charge()`: **Deleted** **Breaking** ⚠️ * `open_router.video_generation.list_videos_models()`: **Added** * `open_router.video_generation.get_video_content()`: **Added** * `open_router.video_generation.get_generation()`: **Added** * `open_router.video_generation.generate()`: **Added**
This commit is contained in:
speakeasybot
@@ -2,7 +2,14 @@
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from __future__ import annotations
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from openrouter.components import providerpreferences as components_providerpreferences
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from openrouter.types import BaseModel, UnrecognizedStr
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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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@@ -11,7 +18,7 @@ from openrouter.utils import (
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validate_open_enum,
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)
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import pydantic
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from pydantic import Discriminator, Tag
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from pydantic import Discriminator, Tag, 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, TypeAliasType, TypedDict
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@@ -63,7 +70,14 @@ class CreateEmbeddingsGlobals(BaseModel):
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"""
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TypeImageURL = Literal["image_url",]
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EncodingFormat = Union[
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Literal[
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"float",
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"base64",
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],
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UnrecognizedStr,
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]
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r"""The format of the output embeddings"""
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class ImageURLTypedDict(TypedDict):
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@@ -74,30 +88,33 @@ class ImageURL(BaseModel):
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url: str
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TypeImageURL = Literal["image_url",]
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class ContentImageURLTypedDict(TypedDict):
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type: TypeImageURL
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image_url: ImageURLTypedDict
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type: TypeImageURL
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class ContentImageURL(BaseModel):
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type: TypeImageURL
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image_url: ImageURL
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type: TypeImageURL
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TypeText = Literal["text",]
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class ContentTextTypedDict(TypedDict):
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type: TypeText
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text: str
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type: TypeText
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class ContentText(BaseModel):
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type: TypeText
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text: str
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type: TypeText
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ContentTypedDict = TypeAliasType(
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"ContentTypedDict", Union[ContentTextTypedDict, ContentImageURLTypedDict]
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@@ -125,50 +142,97 @@ InputUnionTypedDict = TypeAliasType(
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"InputUnionTypedDict",
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Union[str, List[str], List[float], List[List[float]], List[InputTypedDict]],
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)
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r"""Text, token, or multimodal input(s) to embed"""
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InputUnion = TypeAliasType(
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"InputUnion", Union[str, List[str], List[float], List[List[float]], List[Input]]
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)
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EncodingFormat = Union[
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Literal[
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"float",
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"base64",
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],
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UnrecognizedStr,
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]
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r"""Text, token, or multimodal input(s) to embed"""
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class CreateEmbeddingsRequestBodyTypedDict(TypedDict):
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r"""Embeddings request input"""
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input: InputUnionTypedDict
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r"""Text, token, or multimodal input(s) to embed"""
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model: str
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encoding_format: NotRequired[EncodingFormat]
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r"""The model to use for embeddings"""
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dimensions: NotRequired[int]
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user: NotRequired[str]
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provider: NotRequired[components_providerpreferences.ProviderPreferencesTypedDict]
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r"""Provider routing preferences for the request."""
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r"""The number of dimensions for the output embeddings"""
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encoding_format: NotRequired[EncodingFormat]
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r"""The format of the output embeddings"""
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input_type: NotRequired[str]
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r"""The type of input (e.g. search_query, search_document)"""
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provider: NotRequired[
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Nullable[components_providerpreferences.ProviderPreferencesTypedDict]
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]
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user: NotRequired[str]
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r"""A unique identifier for the end-user"""
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class CreateEmbeddingsRequestBody(BaseModel):
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r"""Embeddings request input"""
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input: InputUnion
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r"""Text, token, or multimodal input(s) to embed"""
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model: str
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r"""The model to use for embeddings"""
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dimensions: Optional[int] = None
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r"""The number of dimensions for the output embeddings"""
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encoding_format: Annotated[
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Optional[EncodingFormat], PlainValidator(validate_open_enum(False))
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] = None
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dimensions: Optional[int] = None
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user: Optional[str] = None
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provider: Optional[components_providerpreferences.ProviderPreferences] = None
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r"""Provider routing preferences for the request."""
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r"""The format of the output embeddings"""
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input_type: Optional[str] = None
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r"""The type of input (e.g. search_query, search_document)"""
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provider: OptionalNullable[components_providerpreferences.ProviderPreferences] = (
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UNSET
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)
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user: Optional[str] = None
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r"""A unique identifier for the end-user"""
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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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"dimensions",
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"encoding_format",
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"input_type",
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"provider",
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"user",
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]
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nullable_fields = ["provider"]
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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 CreateEmbeddingsRequestTypedDict(TypedDict):
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@@ -223,68 +287,96 @@ class CreateEmbeddingsRequest(BaseModel):
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"""
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Object = Literal["list",]
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EmbeddingTypedDict = TypeAliasType("EmbeddingTypedDict", Union[List[float], str])
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r"""Embedding vector as an array of floats or a base64 string"""
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Embedding = TypeAliasType("Embedding", Union[List[float], str])
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r"""Embedding vector as an array of floats or a base64 string"""
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ObjectEmbedding = Literal["embedding",]
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EmbeddingTypedDict = TypeAliasType("EmbeddingTypedDict", Union[List[float], str])
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Embedding = TypeAliasType("Embedding", Union[List[float], str])
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class CreateEmbeddingsDataTypedDict(TypedDict):
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object: ObjectEmbedding
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r"""A single embedding object"""
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embedding: EmbeddingTypedDict
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index: NotRequired[float]
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r"""Embedding vector as an array of floats or a base64 string"""
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object: ObjectEmbedding
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index: NotRequired[int]
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r"""Index of the embedding in the input list"""
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class CreateEmbeddingsData(BaseModel):
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object: ObjectEmbedding
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r"""A single embedding object"""
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embedding: Embedding
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r"""Embedding vector as an array of floats or a base64 string"""
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index: Optional[float] = None
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object: ObjectEmbedding
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index: Optional[int] = None
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r"""Index of the embedding in the input list"""
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class UsageTypedDict(TypedDict):
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prompt_tokens: float
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total_tokens: float
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Object = Literal["list",]
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class CreateEmbeddingsUsageTypedDict(TypedDict):
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r"""Token usage statistics"""
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prompt_tokens: int
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r"""Number of tokens in the input"""
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total_tokens: int
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r"""Total number of tokens used"""
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cost: NotRequired[float]
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r"""Cost of the request in credits"""
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class Usage(BaseModel):
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prompt_tokens: float
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class CreateEmbeddingsUsage(BaseModel):
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r"""Token usage statistics"""
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total_tokens: float
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prompt_tokens: int
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r"""Number of tokens in the input"""
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total_tokens: int
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r"""Total number of tokens used"""
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cost: Optional[float] = None
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r"""Cost of the request in credits"""
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class CreateEmbeddingsResponseBodyTypedDict(TypedDict):
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r"""Embedding response"""
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r"""Embeddings response containing embedding vectors"""
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object: Object
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data: List[CreateEmbeddingsDataTypedDict]
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r"""List of embedding objects"""
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model: str
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r"""The model used for embeddings"""
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object: Object
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id: NotRequired[str]
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usage: NotRequired[UsageTypedDict]
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r"""Unique identifier for the embeddings response"""
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usage: NotRequired[CreateEmbeddingsUsageTypedDict]
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r"""Token usage statistics"""
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class CreateEmbeddingsResponseBody(BaseModel):
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r"""Embedding response"""
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r"""Embeddings response containing embedding vectors"""
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data: List[CreateEmbeddingsData]
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r"""List of embedding objects"""
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model: str
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r"""The model used for embeddings"""
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object: Object
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data: List[CreateEmbeddingsData]
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model: str
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id: Optional[str] = None
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r"""Unique identifier for the embeddings response"""
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usage: Optional[Usage] = None
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usage: Optional[CreateEmbeddingsUsage] = None
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r"""Token usage statistics"""
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CreateEmbeddingsResponseTypedDict = TypeAliasType(
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