mirror of
https://github.com/wassname/openrouter-python-sdk-retry-errors.git
synced 2026-08-01 12:40:23 +08:00
feat: regenerate SDK with updated OpenAPI spec
Speakeasy regeneration with latest schema changes including type renames and new server tool models.
This commit is contained in:
OpenRouter SDK Bot
@@ -0,0 +1,353 @@
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"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
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from __future__ import annotations
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from .applypatchservertool import ApplyPatchServerTool, ApplyPatchServerToolTypedDict
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from .baseinputs_union import BaseInputsUnion, BaseInputsUnionTypedDict
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from .basereasoningconfig import BaseReasoningConfig, BaseReasoningConfigTypedDict
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from .codeinterpreterservertool import (
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CodeInterpreterServerTool,
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CodeInterpreterServerToolTypedDict,
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)
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from .codexlocalshelltool import CodexLocalShellTool, CodexLocalShellToolTypedDict
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from .computeruseservertool import ComputerUseServerTool, ComputerUseServerToolTypedDict
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from .customtool import CustomTool, CustomToolTypedDict
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from .filesearchservertool import FileSearchServerTool, FileSearchServerToolTypedDict
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from .imagegenerationservertool import (
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ImageGenerationServerTool,
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ImageGenerationServerToolTypedDict,
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)
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from .incompletedetails import IncompleteDetails, IncompleteDetailsTypedDict
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from .legacy_websearchservertool import (
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LegacyWebSearchServerTool,
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LegacyWebSearchServerToolTypedDict,
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)
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from .mcpservertool import McpServerTool, McpServerToolTypedDict
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from .openairesponsesresponsestatus import OpenAIResponsesResponseStatus
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from .openairesponsestoolchoice_union import (
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OpenAIResponsesToolChoiceUnion,
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OpenAIResponsesToolChoiceUnionTypedDict,
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)
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from .outputitems import OutputItems, OutputItemsTypedDict
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from .preview_20250311_websearchservertool import (
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Preview20250311WebSearchServerTool,
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Preview20250311WebSearchServerToolTypedDict,
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)
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from .preview_websearchservertool import (
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PreviewWebSearchServerTool,
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PreviewWebSearchServerToolTypedDict,
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)
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from .responseserrorfield import ResponsesErrorField, ResponsesErrorFieldTypedDict
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from .shellservertool import ShellServerTool, ShellServerToolTypedDict
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from .storedprompttemplate import StoredPromptTemplate, StoredPromptTemplateTypedDict
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from .textconfig import TextConfig, TextConfigTypedDict
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from .truncationenum import TruncationEnum
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from .usage import Usage, UsageTypedDict
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from .websearchservertool import WebSearchServerTool, WebSearchServerToolTypedDict
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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, validate_open_enum
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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 Any, Dict, List, Literal, Optional, Union
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from typing_extensions import Annotated, NotRequired, TypeAliasType, TypedDict
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OpenResponsesResultObject = Literal["response",]
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OpenResponsesResultType = Literal["function",]
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class OpenResponsesResultToolFunctionTypedDict(TypedDict):
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r"""Function tool definition"""
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type: OpenResponsesResultType
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name: str
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parameters: Nullable[Dict[str, Nullable[Any]]]
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description: NotRequired[Nullable[str]]
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strict: NotRequired[Nullable[bool]]
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class OpenResponsesResultToolFunction(BaseModel):
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r"""Function tool definition"""
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type: OpenResponsesResultType
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name: str
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parameters: Nullable[Dict[str, Nullable[Any]]]
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description: OptionalNullable[str] = UNSET
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strict: OptionalNullable[bool] = UNSET
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@model_serializer(mode="wrap")
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def serialize_model(self, handler):
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optional_fields = ["description", "strict"]
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nullable_fields = ["description", "strict", "parameters"]
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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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OpenResponsesResultToolUnionTypedDict = TypeAliasType(
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"OpenResponsesResultToolUnionTypedDict",
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Union[
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CodexLocalShellToolTypedDict,
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ApplyPatchServerToolTypedDict,
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ShellServerToolTypedDict,
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CodeInterpreterServerToolTypedDict,
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CustomToolTypedDict,
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ComputerUseServerToolTypedDict,
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OpenResponsesResultToolFunctionTypedDict,
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FileSearchServerToolTypedDict,
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LegacyWebSearchServerToolTypedDict,
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WebSearchServerToolTypedDict,
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Preview20250311WebSearchServerToolTypedDict,
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PreviewWebSearchServerToolTypedDict,
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McpServerToolTypedDict,
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ImageGenerationServerToolTypedDict,
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],
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)
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OpenResponsesResultToolUnion = Annotated[
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Union[
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Annotated[OpenResponsesResultToolFunction, Tag("function")],
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Annotated[PreviewWebSearchServerTool, Tag("web_search_preview")],
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Annotated[
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Preview20250311WebSearchServerTool, Tag("web_search_preview_2025_03_11")
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],
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Annotated[LegacyWebSearchServerTool, Tag("web_search")],
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Annotated[WebSearchServerTool, Tag("web_search_2025_08_26")],
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Annotated[FileSearchServerTool, Tag("file_search")],
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Annotated[ComputerUseServerTool, Tag("computer_use_preview")],
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Annotated[CodeInterpreterServerTool, Tag("code_interpreter")],
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Annotated[McpServerTool, Tag("mcp")],
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Annotated[ImageGenerationServerTool, Tag("image_generation")],
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Annotated[CodexLocalShellTool, Tag("local_shell")],
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Annotated[ShellServerTool, Tag("shell")],
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Annotated[ApplyPatchServerTool, Tag("apply_patch")],
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Annotated[CustomTool, Tag("custom")],
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],
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Discriminator(lambda m: get_discriminator(m, "type", "type")),
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]
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class OpenResponsesResultTypedDict(TypedDict):
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r"""Complete non-streaming response from the Responses API"""
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id: str
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object: OpenResponsesResultObject
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created_at: float
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model: str
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status: OpenAIResponsesResponseStatus
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completed_at: Nullable[float]
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output: List[OutputItemsTypedDict]
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error: Nullable[ResponsesErrorFieldTypedDict]
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r"""Error information returned from the API"""
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incomplete_details: Nullable[IncompleteDetailsTypedDict]
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temperature: Nullable[float]
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top_p: Nullable[float]
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presence_penalty: Nullable[float]
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frequency_penalty: Nullable[float]
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instructions: Nullable[BaseInputsUnionTypedDict]
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metadata: Nullable[Dict[str, str]]
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r"""Metadata key-value pairs for the request. Keys must be ≤64 characters and cannot contain brackets. Values must be ≤512 characters. Maximum 16 pairs allowed."""
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tools: List[OpenResponsesResultToolUnionTypedDict]
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tool_choice: OpenAIResponsesToolChoiceUnionTypedDict
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parallel_tool_calls: bool
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user: NotRequired[Nullable[str]]
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output_text: NotRequired[str]
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prompt_cache_key: NotRequired[Nullable[str]]
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safety_identifier: NotRequired[Nullable[str]]
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usage: NotRequired[Nullable[UsageTypedDict]]
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r"""Token usage information for the response"""
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max_tool_calls: NotRequired[Nullable[float]]
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top_logprobs: NotRequired[float]
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max_output_tokens: NotRequired[Nullable[float]]
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prompt: NotRequired[Nullable[StoredPromptTemplateTypedDict]]
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background: NotRequired[Nullable[bool]]
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previous_response_id: NotRequired[Nullable[str]]
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reasoning: NotRequired[Nullable[BaseReasoningConfigTypedDict]]
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service_tier: NotRequired[Nullable[str]]
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store: NotRequired[bool]
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truncation: NotRequired[Nullable[TruncationEnum]]
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text: NotRequired[TextConfigTypedDict]
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r"""Text output configuration including format and verbosity"""
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class OpenResponsesResult(BaseModel):
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r"""Complete non-streaming response from the Responses API"""
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id: str
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object: OpenResponsesResultObject
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created_at: float
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model: str
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status: Annotated[
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OpenAIResponsesResponseStatus, PlainValidator(validate_open_enum(False))
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]
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completed_at: Nullable[float]
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output: List[OutputItems]
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error: Nullable[ResponsesErrorField]
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r"""Error information returned from the API"""
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incomplete_details: Nullable[IncompleteDetails]
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temperature: Nullable[float]
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top_p: Nullable[float]
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presence_penalty: Nullable[float]
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frequency_penalty: Nullable[float]
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instructions: Nullable[BaseInputsUnion]
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metadata: Nullable[Dict[str, str]]
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r"""Metadata key-value pairs for the request. Keys must be ≤64 characters and cannot contain brackets. Values must be ≤512 characters. Maximum 16 pairs allowed."""
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tools: List[OpenResponsesResultToolUnion]
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tool_choice: OpenAIResponsesToolChoiceUnion
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parallel_tool_calls: bool
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user: OptionalNullable[str] = UNSET
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output_text: Optional[str] = None
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prompt_cache_key: OptionalNullable[str] = UNSET
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safety_identifier: OptionalNullable[str] = UNSET
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usage: OptionalNullable[Usage] = UNSET
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r"""Token usage information for the response"""
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max_tool_calls: OptionalNullable[float] = UNSET
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top_logprobs: Optional[float] = None
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max_output_tokens: OptionalNullable[float] = UNSET
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prompt: OptionalNullable[StoredPromptTemplate] = UNSET
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background: OptionalNullable[bool] = UNSET
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previous_response_id: OptionalNullable[str] = UNSET
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reasoning: OptionalNullable[BaseReasoningConfig] = UNSET
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service_tier: OptionalNullable[str] = UNSET
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store: Optional[bool] = None
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truncation: Annotated[
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OptionalNullable[TruncationEnum], PlainValidator(validate_open_enum(False))
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] = UNSET
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text: Optional[TextConfig] = None
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r"""Text output configuration including format and verbosity"""
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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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"user",
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"output_text",
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"prompt_cache_key",
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"safety_identifier",
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"usage",
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"max_tool_calls",
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"top_logprobs",
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"max_output_tokens",
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"prompt",
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"background",
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"previous_response_id",
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"reasoning",
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"service_tier",
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"store",
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"truncation",
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"text",
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]
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nullable_fields = [
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"completed_at",
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"user",
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"prompt_cache_key",
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"safety_identifier",
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"error",
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"incomplete_details",
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"usage",
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"max_tool_calls",
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"max_output_tokens",
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"temperature",
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"top_p",
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"presence_penalty",
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"frequency_penalty",
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"instructions",
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"metadata",
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"prompt",
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"background",
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"previous_response_id",
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"reasoning",
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"service_tier",
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"truncation",
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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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