Make SubFox production-ready with parallel translation and UI controls
This commit is contained in:
Eddie Nielsen
parent
c40b8bed2b
commit
2b1d05f02c
6046 changed files with 798327 additions and 0 deletions
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# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
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from .responses import (
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Responses,
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AsyncResponses,
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ResponsesWithRawResponse,
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AsyncResponsesWithRawResponse,
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ResponsesWithStreamingResponse,
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AsyncResponsesWithStreamingResponse,
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)
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from .input_items import (
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InputItems,
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AsyncInputItems,
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InputItemsWithRawResponse,
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AsyncInputItemsWithRawResponse,
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InputItemsWithStreamingResponse,
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AsyncInputItemsWithStreamingResponse,
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)
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from .input_tokens import (
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InputTokens,
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AsyncInputTokens,
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InputTokensWithRawResponse,
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AsyncInputTokensWithRawResponse,
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InputTokensWithStreamingResponse,
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AsyncInputTokensWithStreamingResponse,
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)
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__all__ = [
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"InputItems",
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"AsyncInputItems",
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"InputItemsWithRawResponse",
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"AsyncInputItemsWithRawResponse",
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"InputItemsWithStreamingResponse",
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"AsyncInputItemsWithStreamingResponse",
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"InputTokens",
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"AsyncInputTokens",
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"InputTokensWithRawResponse",
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"AsyncInputTokensWithRawResponse",
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"InputTokensWithStreamingResponse",
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"AsyncInputTokensWithStreamingResponse",
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"Responses",
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"AsyncResponses",
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"ResponsesWithRawResponse",
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"AsyncResponsesWithRawResponse",
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"ResponsesWithStreamingResponse",
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"AsyncResponsesWithStreamingResponse",
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]
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# Responses
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Types:
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```python
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from openai.types.responses import (
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ApplyPatchTool,
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CompactedResponse,
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ComputerAction,
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ComputerActionList,
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ComputerTool,
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ComputerUsePreviewTool,
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ContainerAuto,
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ContainerNetworkPolicyAllowlist,
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ContainerNetworkPolicyDisabled,
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ContainerNetworkPolicyDomainSecret,
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ContainerReference,
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CustomTool,
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EasyInputMessage,
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FileSearchTool,
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FunctionShellTool,
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FunctionTool,
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InlineSkill,
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InlineSkillSource,
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LocalEnvironment,
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LocalSkill,
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NamespaceTool,
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Response,
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ResponseApplyPatchToolCall,
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ResponseApplyPatchToolCallOutput,
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ResponseAudioDeltaEvent,
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ResponseAudioDoneEvent,
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ResponseAudioTranscriptDeltaEvent,
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ResponseAudioTranscriptDoneEvent,
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ResponseCodeInterpreterCallCodeDeltaEvent,
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ResponseCodeInterpreterCallCodeDoneEvent,
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ResponseCodeInterpreterCallCompletedEvent,
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ResponseCodeInterpreterCallInProgressEvent,
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ResponseCodeInterpreterCallInterpretingEvent,
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ResponseCodeInterpreterToolCall,
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ResponseCompactionItem,
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ResponseCompactionItemParam,
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ResponseCompletedEvent,
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ResponseComputerToolCall,
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ResponseComputerToolCallOutputItem,
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ResponseComputerToolCallOutputScreenshot,
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ResponseContainerReference,
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ResponseContent,
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ResponseContentPartAddedEvent,
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ResponseContentPartDoneEvent,
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ResponseConversationParam,
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ResponseCreatedEvent,
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ResponseCustomToolCall,
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ResponseCustomToolCallInputDeltaEvent,
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ResponseCustomToolCallInputDoneEvent,
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ResponseCustomToolCallOutput,
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ResponseError,
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ResponseErrorEvent,
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ResponseFailedEvent,
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ResponseFileSearchCallCompletedEvent,
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ResponseFileSearchCallInProgressEvent,
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ResponseFileSearchCallSearchingEvent,
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ResponseFileSearchToolCall,
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ResponseFormatTextConfig,
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ResponseFormatTextJSONSchemaConfig,
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ResponseFunctionCallArgumentsDeltaEvent,
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ResponseFunctionCallArgumentsDoneEvent,
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ResponseFunctionCallOutputItem,
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ResponseFunctionCallOutputItemList,
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ResponseFunctionShellCallOutputContent,
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ResponseFunctionShellToolCall,
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ResponseFunctionShellToolCallOutput,
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ResponseFunctionToolCall,
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ResponseFunctionToolCallItem,
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ResponseFunctionToolCallOutputItem,
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ResponseFunctionWebSearch,
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ResponseImageGenCallCompletedEvent,
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ResponseImageGenCallGeneratingEvent,
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ResponseImageGenCallInProgressEvent,
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ResponseImageGenCallPartialImageEvent,
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ResponseInProgressEvent,
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ResponseIncludable,
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ResponseIncompleteEvent,
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ResponseInput,
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ResponseInputAudio,
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ResponseInputContent,
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ResponseInputFile,
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ResponseInputFileContent,
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ResponseInputImage,
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ResponseInputImageContent,
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ResponseInputItem,
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ResponseInputMessageContentList,
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ResponseInputMessageItem,
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ResponseInputText,
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ResponseInputTextContent,
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ResponseItem,
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ResponseLocalEnvironment,
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ResponseMcpCallArgumentsDeltaEvent,
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ResponseMcpCallArgumentsDoneEvent,
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ResponseMcpCallCompletedEvent,
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ResponseMcpCallFailedEvent,
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ResponseMcpCallInProgressEvent,
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ResponseMcpListToolsCompletedEvent,
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ResponseMcpListToolsFailedEvent,
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ResponseMcpListToolsInProgressEvent,
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ResponseOutputAudio,
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ResponseOutputItem,
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ResponseOutputItemAddedEvent,
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ResponseOutputItemDoneEvent,
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ResponseOutputMessage,
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ResponseOutputRefusal,
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ResponseOutputText,
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ResponseOutputTextAnnotationAddedEvent,
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ResponsePrompt,
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ResponseQueuedEvent,
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ResponseReasoningItem,
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ResponseReasoningSummaryPartAddedEvent,
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ResponseReasoningSummaryPartDoneEvent,
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ResponseReasoningSummaryTextDeltaEvent,
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ResponseReasoningSummaryTextDoneEvent,
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ResponseReasoningTextDeltaEvent,
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ResponseReasoningTextDoneEvent,
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ResponseRefusalDeltaEvent,
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ResponseRefusalDoneEvent,
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ResponseStatus,
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ResponseStreamEvent,
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ResponseTextConfig,
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ResponseTextDeltaEvent,
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ResponseTextDoneEvent,
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ResponseToolSearchCall,
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ResponseToolSearchOutputItem,
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ResponseToolSearchOutputItemParam,
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ResponseUsage,
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ResponseWebSearchCallCompletedEvent,
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ResponseWebSearchCallInProgressEvent,
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ResponseWebSearchCallSearchingEvent,
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ResponsesClientEvent,
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ResponsesServerEvent,
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SkillReference,
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Tool,
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ToolChoiceAllowed,
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ToolChoiceApplyPatch,
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ToolChoiceCustom,
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ToolChoiceFunction,
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ToolChoiceMcp,
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ToolChoiceOptions,
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ToolChoiceShell,
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ToolChoiceTypes,
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ToolSearchTool,
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WebSearchPreviewTool,
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WebSearchTool,
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)
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```
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Methods:
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- <code title="post /responses">client.responses.<a href="./src/openai/resources/responses/responses.py">create</a>(\*\*<a href="src/openai/types/responses/response_create_params.py">params</a>) -> <a href="./src/openai/types/responses/response.py">Response</a></code>
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- <code title="get /responses/{response_id}">client.responses.<a href="./src/openai/resources/responses/responses.py">retrieve</a>(response_id, \*\*<a href="src/openai/types/responses/response_retrieve_params.py">params</a>) -> <a href="./src/openai/types/responses/response.py">Response</a></code>
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- <code title="delete /responses/{response_id}">client.responses.<a href="./src/openai/resources/responses/responses.py">delete</a>(response_id) -> None</code>
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- <code title="post /responses/{response_id}/cancel">client.responses.<a href="./src/openai/resources/responses/responses.py">cancel</a>(response_id) -> <a href="./src/openai/types/responses/response.py">Response</a></code>
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- <code title="post /responses/compact">client.responses.<a href="./src/openai/resources/responses/responses.py">compact</a>(\*\*<a href="src/openai/types/responses/response_compact_params.py">params</a>) -> <a href="./src/openai/types/responses/compacted_response.py">CompactedResponse</a></code>
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## InputItems
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Types:
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```python
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from openai.types.responses import ResponseItemList
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```
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Methods:
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- <code title="get /responses/{response_id}/input_items">client.responses.input_items.<a href="./src/openai/resources/responses/input_items.py">list</a>(response_id, \*\*<a href="src/openai/types/responses/input_item_list_params.py">params</a>) -> <a href="./src/openai/types/responses/response_item.py">SyncCursorPage[ResponseItem]</a></code>
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## InputTokens
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Types:
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```python
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from openai.types.responses import InputTokenCountResponse
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```
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Methods:
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- <code title="post /responses/input_tokens">client.responses.input_tokens.<a href="./src/openai/resources/responses/input_tokens.py">count</a>(\*\*<a href="src/openai/types/responses/input_token_count_params.py">params</a>) -> <a href="./src/openai/types/responses/input_token_count_response.py">InputTokenCountResponse</a></code>
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@ -0,0 +1,226 @@
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# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
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from __future__ import annotations
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from typing import Any, List, cast
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from typing_extensions import Literal
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import httpx
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from ... import _legacy_response
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from ..._types import Body, Omit, Query, Headers, NotGiven, omit, not_given
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from ..._utils import maybe_transform
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from ..._compat import cached_property
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from ..._resource import SyncAPIResource, AsyncAPIResource
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from ..._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper
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from ...pagination import SyncCursorPage, AsyncCursorPage
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from ..._base_client import AsyncPaginator, make_request_options
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from ...types.responses import input_item_list_params
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from ...types.responses.response_item import ResponseItem
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from ...types.responses.response_includable import ResponseIncludable
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__all__ = ["InputItems", "AsyncInputItems"]
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class InputItems(SyncAPIResource):
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@cached_property
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def with_raw_response(self) -> InputItemsWithRawResponse:
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"""
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This property can be used as a prefix for any HTTP method call to return
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the raw response object instead of the parsed content.
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For more information, see https://www.github.com/openai/openai-python#accessing-raw-response-data-eg-headers
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"""
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return InputItemsWithRawResponse(self)
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@cached_property
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def with_streaming_response(self) -> InputItemsWithStreamingResponse:
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"""
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An alternative to `.with_raw_response` that doesn't eagerly read the response body.
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For more information, see https://www.github.com/openai/openai-python#with_streaming_response
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"""
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return InputItemsWithStreamingResponse(self)
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def list(
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self,
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response_id: str,
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*,
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after: str | Omit = omit,
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include: List[ResponseIncludable] | Omit = omit,
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limit: int | Omit = omit,
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order: Literal["asc", "desc"] | Omit = omit,
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# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
|
||||
# The extra values given here take precedence over values defined on the client or passed to this method.
|
||||
extra_headers: Headers | None = None,
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extra_query: Query | None = None,
|
||||
extra_body: Body | None = None,
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timeout: float | httpx.Timeout | None | NotGiven = not_given,
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) -> SyncCursorPage[ResponseItem]:
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"""
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Returns a list of input items for a given response.
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Args:
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after: An item ID to list items after, used in pagination.
|
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include: Additional fields to include in the response. See the `include` parameter for
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Response creation above for more information.
|
||||
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limit: A limit on the number of objects to be returned. Limit can range between 1 and
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100, and the default is 20.
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order: The order to return the input items in. Default is `desc`.
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- `asc`: Return the input items in ascending order.
|
||||
- `desc`: Return the input items in descending order.
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extra_headers: Send extra headers
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extra_query: Add additional query parameters to the request
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extra_body: Add additional JSON properties to the request
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timeout: Override the client-level default timeout for this request, in seconds
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"""
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if not response_id:
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raise ValueError(f"Expected a non-empty value for `response_id` but received {response_id!r}")
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return self._get_api_list(
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f"/responses/{response_id}/input_items",
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page=SyncCursorPage[ResponseItem],
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options=make_request_options(
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extra_headers=extra_headers,
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extra_query=extra_query,
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extra_body=extra_body,
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timeout=timeout,
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query=maybe_transform(
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{
|
||||
"after": after,
|
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"include": include,
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"limit": limit,
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"order": order,
|
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},
|
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input_item_list_params.InputItemListParams,
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),
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),
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model=cast(Any, ResponseItem), # Union types cannot be passed in as arguments in the type system
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)
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class AsyncInputItems(AsyncAPIResource):
|
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@cached_property
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def with_raw_response(self) -> AsyncInputItemsWithRawResponse:
|
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"""
|
||||
This property can be used as a prefix for any HTTP method call to return
|
||||
the raw response object instead of the parsed content.
|
||||
|
||||
For more information, see https://www.github.com/openai/openai-python#accessing-raw-response-data-eg-headers
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"""
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return AsyncInputItemsWithRawResponse(self)
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||||
|
||||
@cached_property
|
||||
def with_streaming_response(self) -> AsyncInputItemsWithStreamingResponse:
|
||||
"""
|
||||
An alternative to `.with_raw_response` that doesn't eagerly read the response body.
|
||||
|
||||
For more information, see https://www.github.com/openai/openai-python#with_streaming_response
|
||||
"""
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return AsyncInputItemsWithStreamingResponse(self)
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||||
|
||||
def list(
|
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self,
|
||||
response_id: str,
|
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*,
|
||||
after: str | Omit = omit,
|
||||
include: List[ResponseIncludable] | Omit = omit,
|
||||
limit: int | Omit = omit,
|
||||
order: Literal["asc", "desc"] | Omit = omit,
|
||||
# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
|
||||
# The extra values given here take precedence over values defined on the client or passed to this method.
|
||||
extra_headers: Headers | None = None,
|
||||
extra_query: Query | None = None,
|
||||
extra_body: Body | None = None,
|
||||
timeout: float | httpx.Timeout | None | NotGiven = not_given,
|
||||
) -> AsyncPaginator[ResponseItem, AsyncCursorPage[ResponseItem]]:
|
||||
"""
|
||||
Returns a list of input items for a given response.
|
||||
|
||||
Args:
|
||||
after: An item ID to list items after, used in pagination.
|
||||
|
||||
include: Additional fields to include in the response. See the `include` parameter for
|
||||
Response creation above for more information.
|
||||
|
||||
limit: A limit on the number of objects to be returned. Limit can range between 1 and
|
||||
100, and the default is 20.
|
||||
|
||||
order: The order to return the input items in. Default is `desc`.
|
||||
|
||||
- `asc`: Return the input items in ascending order.
|
||||
- `desc`: Return the input items in descending order.
|
||||
|
||||
extra_headers: Send extra headers
|
||||
|
||||
extra_query: Add additional query parameters to the request
|
||||
|
||||
extra_body: Add additional JSON properties to the request
|
||||
|
||||
timeout: Override the client-level default timeout for this request, in seconds
|
||||
"""
|
||||
if not response_id:
|
||||
raise ValueError(f"Expected a non-empty value for `response_id` but received {response_id!r}")
|
||||
return self._get_api_list(
|
||||
f"/responses/{response_id}/input_items",
|
||||
page=AsyncCursorPage[ResponseItem],
|
||||
options=make_request_options(
|
||||
extra_headers=extra_headers,
|
||||
extra_query=extra_query,
|
||||
extra_body=extra_body,
|
||||
timeout=timeout,
|
||||
query=maybe_transform(
|
||||
{
|
||||
"after": after,
|
||||
"include": include,
|
||||
"limit": limit,
|
||||
"order": order,
|
||||
},
|
||||
input_item_list_params.InputItemListParams,
|
||||
),
|
||||
),
|
||||
model=cast(Any, ResponseItem), # Union types cannot be passed in as arguments in the type system
|
||||
)
|
||||
|
||||
|
||||
class InputItemsWithRawResponse:
|
||||
def __init__(self, input_items: InputItems) -> None:
|
||||
self._input_items = input_items
|
||||
|
||||
self.list = _legacy_response.to_raw_response_wrapper(
|
||||
input_items.list,
|
||||
)
|
||||
|
||||
|
||||
class AsyncInputItemsWithRawResponse:
|
||||
def __init__(self, input_items: AsyncInputItems) -> None:
|
||||
self._input_items = input_items
|
||||
|
||||
self.list = _legacy_response.async_to_raw_response_wrapper(
|
||||
input_items.list,
|
||||
)
|
||||
|
||||
|
||||
class InputItemsWithStreamingResponse:
|
||||
def __init__(self, input_items: InputItems) -> None:
|
||||
self._input_items = input_items
|
||||
|
||||
self.list = to_streamed_response_wrapper(
|
||||
input_items.list,
|
||||
)
|
||||
|
||||
|
||||
class AsyncInputItemsWithStreamingResponse:
|
||||
def __init__(self, input_items: AsyncInputItems) -> None:
|
||||
self._input_items = input_items
|
||||
|
||||
self.list = async_to_streamed_response_wrapper(
|
||||
input_items.list,
|
||||
)
|
||||
|
|
@ -0,0 +1,311 @@
|
|||
# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from typing import Union, Iterable, Optional
|
||||
from typing_extensions import Literal
|
||||
|
||||
import httpx
|
||||
|
||||
from ... import _legacy_response
|
||||
from ..._types import Body, Omit, Query, Headers, NotGiven, omit, not_given
|
||||
from ..._utils import maybe_transform, async_maybe_transform
|
||||
from ..._compat import cached_property
|
||||
from ..._resource import SyncAPIResource, AsyncAPIResource
|
||||
from ..._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper
|
||||
from ..._base_client import make_request_options
|
||||
from ...types.responses import input_token_count_params
|
||||
from ...types.responses.tool_param import ToolParam
|
||||
from ...types.shared_params.reasoning import Reasoning
|
||||
from ...types.responses.response_input_item_param import ResponseInputItemParam
|
||||
from ...types.responses.input_token_count_response import InputTokenCountResponse
|
||||
|
||||
__all__ = ["InputTokens", "AsyncInputTokens"]
|
||||
|
||||
|
||||
class InputTokens(SyncAPIResource):
|
||||
@cached_property
|
||||
def with_raw_response(self) -> InputTokensWithRawResponse:
|
||||
"""
|
||||
This property can be used as a prefix for any HTTP method call to return
|
||||
the raw response object instead of the parsed content.
|
||||
|
||||
For more information, see https://www.github.com/openai/openai-python#accessing-raw-response-data-eg-headers
|
||||
"""
|
||||
return InputTokensWithRawResponse(self)
|
||||
|
||||
@cached_property
|
||||
def with_streaming_response(self) -> InputTokensWithStreamingResponse:
|
||||
"""
|
||||
An alternative to `.with_raw_response` that doesn't eagerly read the response body.
|
||||
|
||||
For more information, see https://www.github.com/openai/openai-python#with_streaming_response
|
||||
"""
|
||||
return InputTokensWithStreamingResponse(self)
|
||||
|
||||
def count(
|
||||
self,
|
||||
*,
|
||||
conversation: Optional[input_token_count_params.Conversation] | Omit = omit,
|
||||
input: Union[str, Iterable[ResponseInputItemParam], None] | Omit = omit,
|
||||
instructions: Optional[str] | Omit = omit,
|
||||
model: Optional[str] | Omit = omit,
|
||||
parallel_tool_calls: Optional[bool] | Omit = omit,
|
||||
previous_response_id: Optional[str] | Omit = omit,
|
||||
reasoning: Optional[Reasoning] | Omit = omit,
|
||||
text: Optional[input_token_count_params.Text] | Omit = omit,
|
||||
tool_choice: Optional[input_token_count_params.ToolChoice] | Omit = omit,
|
||||
tools: Optional[Iterable[ToolParam]] | Omit = omit,
|
||||
truncation: Literal["auto", "disabled"] | Omit = omit,
|
||||
# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
|
||||
# The extra values given here take precedence over values defined on the client or passed to this method.
|
||||
extra_headers: Headers | None = None,
|
||||
extra_query: Query | None = None,
|
||||
extra_body: Body | None = None,
|
||||
timeout: float | httpx.Timeout | None | NotGiven = not_given,
|
||||
) -> InputTokenCountResponse:
|
||||
"""
|
||||
Returns input token counts of the request.
|
||||
|
||||
Returns an object with `object` set to `response.input_tokens` and an
|
||||
`input_tokens` count.
|
||||
|
||||
Args:
|
||||
conversation: The conversation that this response belongs to. Items from this conversation are
|
||||
prepended to `input_items` for this response request. Input items and output
|
||||
items from this response are automatically added to this conversation after this
|
||||
response completes.
|
||||
|
||||
input: Text, image, or file inputs to the model, used to generate a response
|
||||
|
||||
instructions: A system (or developer) message inserted into the model's context. When used
|
||||
along with `previous_response_id`, the instructions from a previous response
|
||||
will not be carried over to the next response. This makes it simple to swap out
|
||||
system (or developer) messages in new responses.
|
||||
|
||||
model: Model ID used to generate the response, like `gpt-4o` or `o3`. OpenAI offers a
|
||||
wide range of models with different capabilities, performance characteristics,
|
||||
and price points. Refer to the
|
||||
[model guide](https://platform.openai.com/docs/models) to browse and compare
|
||||
available models.
|
||||
|
||||
parallel_tool_calls: Whether to allow the model to run tool calls in parallel.
|
||||
|
||||
previous_response_id: The unique ID of the previous response to the model. Use this to create
|
||||
multi-turn conversations. Learn more about
|
||||
[conversation state](https://platform.openai.com/docs/guides/conversation-state).
|
||||
Cannot be used in conjunction with `conversation`.
|
||||
|
||||
reasoning: **gpt-5 and o-series models only** Configuration options for
|
||||
[reasoning models](https://platform.openai.com/docs/guides/reasoning).
|
||||
|
||||
text: Configuration options for a text response from the model. Can be plain text or
|
||||
structured JSON data. Learn more:
|
||||
|
||||
- [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
|
||||
- [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs)
|
||||
|
||||
tool_choice: Controls which tool the model should use, if any.
|
||||
|
||||
tools: An array of tools the model may call while generating a response. You can
|
||||
specify which tool to use by setting the `tool_choice` parameter.
|
||||
|
||||
truncation: The truncation strategy to use for the model response. - `auto`: If the input to
|
||||
this Response exceeds the model's context window size, the model will truncate
|
||||
the response to fit the context window by dropping items from the beginning of
|
||||
the conversation. - `disabled` (default): If the input size will exceed the
|
||||
context window size for a model, the request will fail with a 400 error.
|
||||
|
||||
extra_headers: Send extra headers
|
||||
|
||||
extra_query: Add additional query parameters to the request
|
||||
|
||||
extra_body: Add additional JSON properties to the request
|
||||
|
||||
timeout: Override the client-level default timeout for this request, in seconds
|
||||
"""
|
||||
return self._post(
|
||||
"/responses/input_tokens",
|
||||
body=maybe_transform(
|
||||
{
|
||||
"conversation": conversation,
|
||||
"input": input,
|
||||
"instructions": instructions,
|
||||
"model": model,
|
||||
"parallel_tool_calls": parallel_tool_calls,
|
||||
"previous_response_id": previous_response_id,
|
||||
"reasoning": reasoning,
|
||||
"text": text,
|
||||
"tool_choice": tool_choice,
|
||||
"tools": tools,
|
||||
"truncation": truncation,
|
||||
},
|
||||
input_token_count_params.InputTokenCountParams,
|
||||
),
|
||||
options=make_request_options(
|
||||
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
|
||||
),
|
||||
cast_to=InputTokenCountResponse,
|
||||
)
|
||||
|
||||
|
||||
class AsyncInputTokens(AsyncAPIResource):
|
||||
@cached_property
|
||||
def with_raw_response(self) -> AsyncInputTokensWithRawResponse:
|
||||
"""
|
||||
This property can be used as a prefix for any HTTP method call to return
|
||||
the raw response object instead of the parsed content.
|
||||
|
||||
For more information, see https://www.github.com/openai/openai-python#accessing-raw-response-data-eg-headers
|
||||
"""
|
||||
return AsyncInputTokensWithRawResponse(self)
|
||||
|
||||
@cached_property
|
||||
def with_streaming_response(self) -> AsyncInputTokensWithStreamingResponse:
|
||||
"""
|
||||
An alternative to `.with_raw_response` that doesn't eagerly read the response body.
|
||||
|
||||
For more information, see https://www.github.com/openai/openai-python#with_streaming_response
|
||||
"""
|
||||
return AsyncInputTokensWithStreamingResponse(self)
|
||||
|
||||
async def count(
|
||||
self,
|
||||
*,
|
||||
conversation: Optional[input_token_count_params.Conversation] | Omit = omit,
|
||||
input: Union[str, Iterable[ResponseInputItemParam], None] | Omit = omit,
|
||||
instructions: Optional[str] | Omit = omit,
|
||||
model: Optional[str] | Omit = omit,
|
||||
parallel_tool_calls: Optional[bool] | Omit = omit,
|
||||
previous_response_id: Optional[str] | Omit = omit,
|
||||
reasoning: Optional[Reasoning] | Omit = omit,
|
||||
text: Optional[input_token_count_params.Text] | Omit = omit,
|
||||
tool_choice: Optional[input_token_count_params.ToolChoice] | Omit = omit,
|
||||
tools: Optional[Iterable[ToolParam]] | Omit = omit,
|
||||
truncation: Literal["auto", "disabled"] | Omit = omit,
|
||||
# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
|
||||
# The extra values given here take precedence over values defined on the client or passed to this method.
|
||||
extra_headers: Headers | None = None,
|
||||
extra_query: Query | None = None,
|
||||
extra_body: Body | None = None,
|
||||
timeout: float | httpx.Timeout | None | NotGiven = not_given,
|
||||
) -> InputTokenCountResponse:
|
||||
"""
|
||||
Returns input token counts of the request.
|
||||
|
||||
Returns an object with `object` set to `response.input_tokens` and an
|
||||
`input_tokens` count.
|
||||
|
||||
Args:
|
||||
conversation: The conversation that this response belongs to. Items from this conversation are
|
||||
prepended to `input_items` for this response request. Input items and output
|
||||
items from this response are automatically added to this conversation after this
|
||||
response completes.
|
||||
|
||||
input: Text, image, or file inputs to the model, used to generate a response
|
||||
|
||||
instructions: A system (or developer) message inserted into the model's context. When used
|
||||
along with `previous_response_id`, the instructions from a previous response
|
||||
will not be carried over to the next response. This makes it simple to swap out
|
||||
system (or developer) messages in new responses.
|
||||
|
||||
model: Model ID used to generate the response, like `gpt-4o` or `o3`. OpenAI offers a
|
||||
wide range of models with different capabilities, performance characteristics,
|
||||
and price points. Refer to the
|
||||
[model guide](https://platform.openai.com/docs/models) to browse and compare
|
||||
available models.
|
||||
|
||||
parallel_tool_calls: Whether to allow the model to run tool calls in parallel.
|
||||
|
||||
previous_response_id: The unique ID of the previous response to the model. Use this to create
|
||||
multi-turn conversations. Learn more about
|
||||
[conversation state](https://platform.openai.com/docs/guides/conversation-state).
|
||||
Cannot be used in conjunction with `conversation`.
|
||||
|
||||
reasoning: **gpt-5 and o-series models only** Configuration options for
|
||||
[reasoning models](https://platform.openai.com/docs/guides/reasoning).
|
||||
|
||||
text: Configuration options for a text response from the model. Can be plain text or
|
||||
structured JSON data. Learn more:
|
||||
|
||||
- [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
|
||||
- [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs)
|
||||
|
||||
tool_choice: Controls which tool the model should use, if any.
|
||||
|
||||
tools: An array of tools the model may call while generating a response. You can
|
||||
specify which tool to use by setting the `tool_choice` parameter.
|
||||
|
||||
truncation: The truncation strategy to use for the model response. - `auto`: If the input to
|
||||
this Response exceeds the model's context window size, the model will truncate
|
||||
the response to fit the context window by dropping items from the beginning of
|
||||
the conversation. - `disabled` (default): If the input size will exceed the
|
||||
context window size for a model, the request will fail with a 400 error.
|
||||
|
||||
extra_headers: Send extra headers
|
||||
|
||||
extra_query: Add additional query parameters to the request
|
||||
|
||||
extra_body: Add additional JSON properties to the request
|
||||
|
||||
timeout: Override the client-level default timeout for this request, in seconds
|
||||
"""
|
||||
return await self._post(
|
||||
"/responses/input_tokens",
|
||||
body=await async_maybe_transform(
|
||||
{
|
||||
"conversation": conversation,
|
||||
"input": input,
|
||||
"instructions": instructions,
|
||||
"model": model,
|
||||
"parallel_tool_calls": parallel_tool_calls,
|
||||
"previous_response_id": previous_response_id,
|
||||
"reasoning": reasoning,
|
||||
"text": text,
|
||||
"tool_choice": tool_choice,
|
||||
"tools": tools,
|
||||
"truncation": truncation,
|
||||
},
|
||||
input_token_count_params.InputTokenCountParams,
|
||||
),
|
||||
options=make_request_options(
|
||||
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
|
||||
),
|
||||
cast_to=InputTokenCountResponse,
|
||||
)
|
||||
|
||||
|
||||
class InputTokensWithRawResponse:
|
||||
def __init__(self, input_tokens: InputTokens) -> None:
|
||||
self._input_tokens = input_tokens
|
||||
|
||||
self.count = _legacy_response.to_raw_response_wrapper(
|
||||
input_tokens.count,
|
||||
)
|
||||
|
||||
|
||||
class AsyncInputTokensWithRawResponse:
|
||||
def __init__(self, input_tokens: AsyncInputTokens) -> None:
|
||||
self._input_tokens = input_tokens
|
||||
|
||||
self.count = _legacy_response.async_to_raw_response_wrapper(
|
||||
input_tokens.count,
|
||||
)
|
||||
|
||||
|
||||
class InputTokensWithStreamingResponse:
|
||||
def __init__(self, input_tokens: InputTokens) -> None:
|
||||
self._input_tokens = input_tokens
|
||||
|
||||
self.count = to_streamed_response_wrapper(
|
||||
input_tokens.count,
|
||||
)
|
||||
|
||||
|
||||
class AsyncInputTokensWithStreamingResponse:
|
||||
def __init__(self, input_tokens: AsyncInputTokens) -> None:
|
||||
self._input_tokens = input_tokens
|
||||
|
||||
self.count = async_to_streamed_response_wrapper(
|
||||
input_tokens.count,
|
||||
)
|
||||
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