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Shared Types

from openai.types import (
    ErrorObject,
    FunctionDefinition,
    FunctionParameters,
    ResponseFormatJSONObject,
    ResponseFormatJSONSchema,
    ResponseFormatText,
)

Completions

Types:

from openai.types import Completion, CompletionChoice, CompletionUsage

Methods:

client.completions.create(**params) -> Completion

Chat

Types:

from openai.types import ChatModel

Completions

Types:

from openai.types.chat import (
    ChatCompletion,
    ChatCompletionAssistantMessageParam,
    ChatCompletionAudio,
    ChatCompletionAudioParam,
    ChatCompletionChunk,
    ChatCompletionContentPart,
    ChatCompletionContentPartImage,
    ChatCompletionContentPartInputAudio,
    ChatCompletionContentPartRefusal,
    ChatCompletionContentPartText,
    ChatCompletionDeveloperMessageParam,
    ChatCompletionFunctionCallOption,
    ChatCompletionFunctionMessageParam,
    ChatCompletionMessage,
    ChatCompletionMessageParam,
    ChatCompletionMessageToolCall,
    ChatCompletionModality,
    ChatCompletionNamedToolChoice,
    ChatCompletionPredictionContent,
    ChatCompletionReasoningEffort,
    ChatCompletionRole,
    ChatCompletionStreamOptions,
    ChatCompletionSystemMessageParam,
    ChatCompletionTokenLogprob,
    ChatCompletionTool,
    ChatCompletionToolChoiceOption,
    ChatCompletionToolMessageParam,
    ChatCompletionUserMessageParam,
)

Methods:

client.chat.completions.create(**params) -> ChatCompletion

Embeddings

Types:

from openai.types import CreateEmbeddingResponse, Embedding, EmbeddingModel

Methods:

client.embeddings.create(**params) -> CreateEmbeddingResponse

Files

Types:

from openai.types import FileContent, FileDeleted, FileObject, FilePurpose

Methods:

client.files.create(**params) -> FileObject
client.files.retrieve(file_id) -> FileObject
client.files.list(**params) -> SyncCursorPage[FileObject]
client.files.delete(file_id) -> FileDeleted
client.files.content(file_id) -> HttpxBinaryResponseContent
client.files.retrieve_content(file_id) -> str
client.files.wait_for_processing(*args) -> FileObject

Images

Types:

from openai.types import Image, ImageModel, ImagesResponse

Methods:

client.images.create_variation(**params) -> ImagesResponse
client.images.edit(**params) -> ImagesResponse
client.images.generate(**params) -> ImagesResponse

Audio

Types:

from openai.types import AudioModel, AudioResponseFormat

Transcriptions

Types:

from openai.types.audio import (
    Transcription,
    TranscriptionSegment,
    TranscriptionVerbose,
    TranscriptionWord,
    TranscriptionCreateResponse,
)

Methods:

client.audio.transcriptions.create(**params) -> TranscriptionCreateResponse

Translations

Types:

from openai.types.audio import Translation, TranslationVerbose, TranslationCreateResponse

Methods:

client.audio.translations.create(**params) -> TranslationCreateResponse

Speech

Types:

from openai.types.audio import SpeechModel

Methods:

client.audio.speech.create(**params) -> HttpxBinaryResponseContent

Moderations

Types:

from openai.types import (
    Moderation,
    ModerationImageURLInput,
    ModerationModel,
    ModerationMultiModalInput,
    ModerationTextInput,
    ModerationCreateResponse,
)

Methods:

client.moderations.create(**params) -> ModerationCreateResponse

Models

Types:

from openai.types import Model, ModelDeleted

Methods:

client.models.retrieve(model) -> Model
client.models.list() -> SyncPage[Model]
client.models.delete(model) -> ModelDeleted

FineTuning

Jobs

Types:

from openai.types.fine_tuning import (
    FineTuningJob,
    FineTuningJobEvent,
    FineTuningJobIntegration,
    FineTuningJobWandbIntegration,
    FineTuningJobWandbIntegrationObject,
)

Methods:

client.fine_tuning.jobs.create(**params) -> FineTuningJob
client.fine_tuning.jobs.retrieve(fine_tuning_job_id) -> FineTuningJob
client.fine_tuning.jobs.list(**params) -> SyncCursorPage[FineTuningJob]
client.fine_tuning.jobs.cancel(fine_tuning_job_id) -> FineTuningJob
client.fine_tuning.jobs.list_events(fine_tuning_job_id, **params) -> SyncCursorPage[FineTuningJobEvent]

Checkpoints

Types:

from openai.types.fine_tuning.jobs import FineTuningJobCheckpoint

Methods:

client.fine_tuning.jobs.checkpoints.list(fine_tuning_job_id, **params) -> SyncCursorPage[FineTuningJobCheckpoint]

Beta

Realtime

Types:

from openai.types.beta.realtime import (
    ConversationCreatedEvent,
    ConversationItem,
    ConversationItemContent,
    ConversationItemCreateEvent,
    ConversationItemCreatedEvent,
    ConversationItemDeleteEvent,
    ConversationItemDeletedEvent,
    ConversationItemInputAudioTranscriptionCompletedEvent,
    ConversationItemInputAudioTranscriptionFailedEvent,
    ConversationItemTruncateEvent,
    ConversationItemTruncatedEvent,
    ErrorEvent,
    InputAudioBufferAppendEvent,
    InputAudioBufferClearEvent,
    InputAudioBufferClearedEvent,
    InputAudioBufferCommitEvent,
    InputAudioBufferCommittedEvent,
    InputAudioBufferSpeechStartedEvent,
    InputAudioBufferSpeechStoppedEvent,
    RateLimitsUpdatedEvent,
    RealtimeClientEvent,
    RealtimeResponse,
    RealtimeResponseStatus,
    RealtimeResponseUsage,
    RealtimeServerEvent,
    ResponseAudioDeltaEvent,
    ResponseAudioDoneEvent,
    ResponseAudioTranscriptDeltaEvent,
    ResponseAudioTranscriptDoneEvent,
    ResponseCancelEvent,
    ResponseContentPartAddedEvent,
    ResponseContentPartDoneEvent,
    ResponseCreateEvent,
    ResponseCreatedEvent,
    ResponseDoneEvent,
    ResponseFunctionCallArgumentsDeltaEvent,
    ResponseFunctionCallArgumentsDoneEvent,
    ResponseOutputItemAddedEvent,
    ResponseOutputItemDoneEvent,
    ResponseTextDeltaEvent,
    ResponseTextDoneEvent,
    SessionCreatedEvent,
    SessionUpdateEvent,
    SessionUpdatedEvent,
)

Sessions

Types:

from openai.types.beta.realtime import Session, SessionCreateResponse

Methods:

client.beta.realtime.sessions.create(**params) -> SessionCreateResponse

VectorStores

Types:

from openai.types.beta import (
    AutoFileChunkingStrategyParam,
    FileChunkingStrategy,
    FileChunkingStrategyParam,
    OtherFileChunkingStrategyObject,
    StaticFileChunkingStrategy,
    StaticFileChunkingStrategyObject,
    StaticFileChunkingStrategyParam,
    VectorStore,
    VectorStoreDeleted,
)

Methods:

client.beta.vector_stores.create(**params) -> VectorStore
client.beta.vector_stores.retrieve(vector_store_id) -> VectorStore
client.beta.vector_stores.update(vector_store_id, **params) -> VectorStore
client.beta.vector_stores.list(**params) -> SyncCursorPage[VectorStore]
client.beta.vector_stores.delete(vector_store_id) -> VectorStoreDeleted

Files

Types:

from openai.types.beta.vector_stores import VectorStoreFile, VectorStoreFileDeleted

Methods:

client.beta.vector_stores.files.create(vector_store_id, **params) -> VectorStoreFile
client.beta.vector_stores.files.retrieve(file_id, *, vector_store_id) -> VectorStoreFile
client.beta.vector_stores.files.list(vector_store_id, **params) -> SyncCursorPage[VectorStoreFile]
client.beta.vector_stores.files.delete(file_id, *, vector_store_id) -> VectorStoreFileDeleted
client.beta.vector_stores.files.create_and_poll(*args) -> VectorStoreFile
client.beta.vector_stores.files.poll(*args) -> VectorStoreFile
client.beta.vector_stores.files.upload(*args) -> VectorStoreFile
client.beta.vector_stores.files.upload_and_poll(*args) -> VectorStoreFile

FileBatches

Types:

from openai.types.beta.vector_stores import VectorStoreFileBatch

Methods:

client.beta.vector_stores.file_batches.create(vector_store_id, **params) -> VectorStoreFileBatch
client.beta.vector_stores.file_batches.retrieve(batch_id, *, vector_store_id) -> VectorStoreFileBatch
client.beta.vector_stores.file_batches.cancel(batch_id, *, vector_store_id) -> VectorStoreFileBatch
client.beta.vector_stores.file_batches.list_files(batch_id, *, vector_store_id, **params) -> SyncCursorPage[VectorStoreFile]
client.beta.vector_stores.file_batches.create_and_poll(*args) -> VectorStoreFileBatch
client.beta.vector_stores.file_batches.poll(*args) -> VectorStoreFileBatch
client.beta.vector_stores.file_batches.upload_and_poll(*args) -> VectorStoreFileBatch

Assistants

Types:

from openai.types.beta import (
    Assistant,
    AssistantDeleted,
    AssistantStreamEvent,
    AssistantTool,
    CodeInterpreterTool,
    FileSearchTool,
    FunctionTool,
    MessageStreamEvent,
    RunStepStreamEvent,
    RunStreamEvent,
    ThreadStreamEvent,
)

Methods:

client.beta.assistants.create(**params) -> Assistant
client.beta.assistants.retrieve(assistant_id) -> Assistant
client.beta.assistants.update(assistant_id, **params) -> Assistant
client.beta.assistants.list(**params) -> SyncCursorPage[Assistant]
client.beta.assistants.delete(assistant_id) -> AssistantDeleted

Threads

Types:

from openai.types.beta import (
    AssistantResponseFormatOption,
    AssistantToolChoice,
    AssistantToolChoiceFunction,
    AssistantToolChoiceOption,
    Thread,
    ThreadDeleted,
)

Methods:

client.beta.threads.create(**params) -> Thread
client.beta.threads.retrieve(thread_id) -> Thread
client.beta.threads.update(thread_id, **params) -> Thread
client.beta.threads.delete(thread_id) -> ThreadDeleted
client.beta.threads.create_and_run(**params) -> Run
client.beta.threads.create_and_run_poll(*args) -> Run
client.beta.threads.create_and_run_stream(*args) -> AssistantStreamManager[AssistantEventHandler] | AssistantStreamManager[AssistantEventHandlerT]

Runs

Types:

from openai.types.beta.threads import RequiredActionFunctionToolCall, Run, RunStatus

Methods:

client.beta.threads.runs.create(thread_id, **params) -> Run
client.beta.threads.runs.retrieve(run_id, *, thread_id) -> Run
client.beta.threads.runs.update(run_id, *, thread_id, **params) -> Run
client.beta.threads.runs.list(thread_id, **params) -> SyncCursorPage[Run]
client.beta.threads.runs.cancel(run_id, *, thread_id) -> Run
client.beta.threads.runs.submit_tool_outputs(run_id, *, thread_id, **params) -> Run
client.beta.threads.runs.create_and_poll(*args) -> Run
client.beta.threads.runs.create_and_stream(*args) -> AssistantStreamManager[AssistantEventHandler] | AssistantStreamManager[AssistantEventHandlerT]
client.beta.threads.runs.poll(*args) -> Run
client.beta.threads.runs.stream(*args) -> AssistantStreamManager[AssistantEventHandler] | AssistantStreamManager[AssistantEventHandlerT]
client.beta.threads.runs.submit_tool_outputs_and_poll(*args) -> Run
client.beta.threads.runs.submit_tool_outputs_stream(*args) -> AssistantStreamManager[AssistantEventHandler] | AssistantStreamManager[AssistantEventHandlerT]

Steps

Types:

from openai.types.beta.threads.runs import (
    CodeInterpreterLogs,
    CodeInterpreterOutputImage,
    CodeInterpreterToolCall,
    CodeInterpreterToolCallDelta,
    FileSearchToolCall,
    FileSearchToolCallDelta,
    FunctionToolCall,
    FunctionToolCallDelta,
    MessageCreationStepDetails,
    RunStep,
    RunStepDelta,
    RunStepDeltaEvent,
    RunStepDeltaMessageDelta,
    RunStepInclude,
    ToolCall,
    ToolCallDelta,
    ToolCallDeltaObject,
    ToolCallsStepDetails,
)

Methods:

client.beta.threads.runs.steps.retrieve(step_id, *, thread_id, run_id, **params) -> RunStep
client.beta.threads.runs.steps.list(run_id, *, thread_id, **params) -> SyncCursorPage[RunStep]

Messages

Types:

from openai.types.beta.threads import (
    Annotation,
    AnnotationDelta,
    FileCitationAnnotation,
    FileCitationDeltaAnnotation,
    FilePathAnnotation,
    FilePathDeltaAnnotation,
    ImageFile,
    ImageFileContentBlock,
    ImageFileDelta,
    ImageFileDeltaBlock,
    ImageURL,
    ImageURLContentBlock,
    ImageURLDelta,
    ImageURLDeltaBlock,
    Message,
    MessageContent,
    MessageContentDelta,
    MessageContentPartParam,
    MessageDeleted,
    MessageDelta,
    MessageDeltaEvent,
    RefusalContentBlock,
    RefusalDeltaBlock,
    Text,
    TextContentBlock,
    TextContentBlockParam,
    TextDelta,
    TextDeltaBlock,
)

Methods:

client.beta.threads.messages.create(thread_id, **params) -> Message
client.beta.threads.messages.retrieve(message_id, *, thread_id) -> Message
client.beta.threads.messages.update(message_id, *, thread_id, **params) -> Message
client.beta.threads.messages.list(thread_id, **params) -> SyncCursorPage[Message]
client.beta.threads.messages.delete(message_id, *, thread_id) -> MessageDeleted

Batches

Types:

from openai.types import Batch, BatchError, BatchRequestCounts

Methods:

client.batches.create(**params) -> Batch
client.batches.retrieve(batch_id) -> Batch
client.batches.list(**params) -> SyncCursorPage[Batch]
client.batches.cancel(batch_id) -> Batch

Uploads

Types:

from openai.types import Upload

Methods:

client.uploads.create(**params) -> Upload
client.uploads.cancel(upload_id) -> Upload
client.uploads.complete(upload_id, **params) -> Upload

Parts

Types:

from openai.types.uploads import UploadPart

Methods:

client.uploads.parts.create(upload_id, **params) -> UploadPart

openai-python/api.md at main · ddigitech/openai-python · GitHub

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File metadata and controls

Shared Types

Completions

Chat

Completions

Embeddings

Files

Images

Audio

Transcriptions

Translations

Speech

Moderations

Models

FineTuning

Jobs

Checkpoints

Beta

Realtime

Sessions

VectorStores

Files

FileBatches

Assistants

Threads

Runs

Steps

Messages

Batches

Uploads

Parts