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4e789208b4
* `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**
99 lines
4.1 KiB
Python
99 lines
4.1 KiB
Python
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
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from __future__ import annotations
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from .preview_websearchuserlocation import (
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PreviewWebSearchUserLocation,
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PreviewWebSearchUserLocationTypedDict,
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)
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from .searchcontextsizeenum import SearchContextSizeEnum
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from .websearchdomainfilter import WebSearchDomainFilter, WebSearchDomainFilterTypedDict
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from .websearchengineenum import WebSearchEngineEnum
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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 validate_open_enum
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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
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from typing_extensions import Annotated, NotRequired, TypedDict
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PreviewWebSearchServerToolType = Literal["web_search_preview",]
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class PreviewWebSearchServerToolTypedDict(TypedDict):
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r"""Web search preview tool configuration"""
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type: PreviewWebSearchServerToolType
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engine: NotRequired[WebSearchEngineEnum]
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r"""Which search engine to use. \"auto\" (default) uses native if the provider supports it, otherwise Exa. \"native\" forces the provider's built-in search. \"exa\" forces the Exa search API. \"firecrawl\" uses Firecrawl (requires BYOK). \"parallel\" uses the Parallel search API. \"perplexity\" uses the Perplexity Search API (raw ranked results)."""
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filters: NotRequired[Nullable[WebSearchDomainFilterTypedDict]]
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max_results: NotRequired[int]
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r"""Maximum number of search results to return per search call. Defaults to 5. Applies to Exa, Firecrawl, Parallel, and Perplexity engines; ignored with native provider search. Perplexity supports a maximum of 20; values above 20 are clamped."""
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search_context_size: NotRequired[SearchContextSizeEnum]
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r"""Size of the search context for web search tools"""
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user_location: NotRequired[Nullable[PreviewWebSearchUserLocationTypedDict]]
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class PreviewWebSearchServerTool(BaseModel):
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r"""Web search preview tool configuration"""
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type: PreviewWebSearchServerToolType
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engine: Annotated[
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Optional[WebSearchEngineEnum], PlainValidator(validate_open_enum(False))
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] = None
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r"""Which search engine to use. \"auto\" (default) uses native if the provider supports it, otherwise Exa. \"native\" forces the provider's built-in search. \"exa\" forces the Exa search API. \"firecrawl\" uses Firecrawl (requires BYOK). \"parallel\" uses the Parallel search API. \"perplexity\" uses the Perplexity Search API (raw ranked results)."""
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filters: OptionalNullable[WebSearchDomainFilter] = UNSET
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max_results: Optional[int] = None
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r"""Maximum number of search results to return per search call. Defaults to 5. Applies to Exa, Firecrawl, Parallel, and Perplexity engines; ignored with native provider search. Perplexity supports a maximum of 20; values above 20 are clamped."""
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search_context_size: Annotated[
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Optional[SearchContextSizeEnum], PlainValidator(validate_open_enum(False))
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] = None
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r"""Size of the search context for web search tools"""
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user_location: OptionalNullable[PreviewWebSearchUserLocation] = UNSET
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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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"engine",
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"filters",
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"max_results",
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"search_context_size",
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"user_location",
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]
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nullable_fields = ["filters", "user_location"]
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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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