generated from ShadowVR/AI_botter
810 lines
32 KiB
TypeScript
810 lines
32 KiB
TypeScript
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import * as Core from 'openai/core';
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import { APIPromise } from 'openai/core';
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import { APIResource } from 'openai/resource';
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import * as ChatCompletionsAPI from 'openai/resources/chat/completions';
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import * as CompletionsAPI from 'openai/resources/completions';
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import * as Shared from 'openai/resources/shared';
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import { Stream } from 'openai/streaming';
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export declare class Completions extends APIResource {
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/**
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* Creates a model response for the given chat conversation.
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*/
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create(body: ChatCompletionCreateParamsNonStreaming, options?: Core.RequestOptions): APIPromise<ChatCompletion>;
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create(body: ChatCompletionCreateParamsStreaming, options?: Core.RequestOptions): APIPromise<Stream<ChatCompletionChunk>>;
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create(body: ChatCompletionCreateParamsBase, options?: Core.RequestOptions): APIPromise<Stream<ChatCompletionChunk> | ChatCompletion>;
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}
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/**
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* Represents a chat completion response returned by model, based on the provided
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* input.
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*/
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export interface ChatCompletion {
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/**
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* A unique identifier for the chat completion.
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*/
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id: string;
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/**
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* A list of chat completion choices. Can be more than one if `n` is greater
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* than 1.
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*/
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choices: Array<ChatCompletion.Choice>;
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/**
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* The Unix timestamp (in seconds) of when the chat completion was created.
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*/
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created: number;
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/**
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* The model used for the chat completion.
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*/
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model: string;
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/**
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* The object type, which is always `chat.completion`.
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*/
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object: 'chat.completion';
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/**
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* This fingerprint represents the backend configuration that the model runs with.
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*
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* Can be used in conjunction with the `seed` request parameter to understand when
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* backend changes have been made that might impact determinism.
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*/
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system_fingerprint?: string;
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/**
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* Usage statistics for the completion request.
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*/
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usage?: CompletionsAPI.CompletionUsage;
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}
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export declare namespace ChatCompletion {
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interface Choice {
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/**
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* The reason the model stopped generating tokens. This will be `stop` if the model
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* hit a natural stop point or a provided stop sequence, `length` if the maximum
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* number of tokens specified in the request was reached, `content_filter` if
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* content was omitted due to a flag from our content filters, `tool_calls` if the
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* model called a tool, or `function_call` (deprecated) if the model called a
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* function.
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*/
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finish_reason: 'stop' | 'length' | 'tool_calls' | 'content_filter' | 'function_call';
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/**
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* The index of the choice in the list of choices.
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*/
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index: number;
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/**
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* Log probability information for the choice.
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*/
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logprobs: Choice.Logprobs | null;
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/**
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* A chat completion message generated by the model.
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*/
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message: ChatCompletionsAPI.ChatCompletionMessage;
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}
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namespace Choice {
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/**
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* Log probability information for the choice.
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*/
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interface Logprobs {
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/**
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* A list of message content tokens with log probability information.
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*/
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content: Array<ChatCompletionsAPI.ChatCompletionTokenLogprob> | null;
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}
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}
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}
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export interface ChatCompletionAssistantMessageParam {
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/**
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* The role of the messages author, in this case `assistant`.
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*/
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role: 'assistant';
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/**
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* The contents of the assistant message. Required unless `tool_calls` or
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* `function_call` is specified.
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*/
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content?: string | null;
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/**
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* Deprecated and replaced by `tool_calls`. The name and arguments of a function
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* that should be called, as generated by the model.
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*/
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function_call?: ChatCompletionAssistantMessageParam.FunctionCall;
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/**
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* An optional name for the participant. Provides the model information to
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* differentiate between participants of the same role.
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*/
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name?: string;
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/**
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* The tool calls generated by the model, such as function calls.
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*/
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tool_calls?: Array<ChatCompletionMessageToolCall>;
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}
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export declare namespace ChatCompletionAssistantMessageParam {
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/**
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* Deprecated and replaced by `tool_calls`. The name and arguments of a function
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* that should be called, as generated by the model.
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*/
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interface FunctionCall {
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/**
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* The arguments to call the function with, as generated by the model in JSON
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* format. Note that the model does not always generate valid JSON, and may
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* hallucinate parameters not defined by your function schema. Validate the
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* arguments in your code before calling your function.
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*/
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arguments: string;
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/**
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* The name of the function to call.
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*/
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name: string;
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}
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}
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/**
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* Represents a streamed chunk of a chat completion response returned by model,
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* based on the provided input.
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*/
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export interface ChatCompletionChunk {
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/**
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* A unique identifier for the chat completion. Each chunk has the same ID.
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*/
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id: string;
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/**
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* A list of chat completion choices. Can be more than one if `n` is greater
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* than 1.
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*/
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choices: Array<ChatCompletionChunk.Choice>;
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/**
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* The Unix timestamp (in seconds) of when the chat completion was created. Each
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* chunk has the same timestamp.
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*/
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created: number;
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/**
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* The model to generate the completion.
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*/
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model: string;
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/**
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* The object type, which is always `chat.completion.chunk`.
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*/
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object: 'chat.completion.chunk';
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/**
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* This fingerprint represents the backend configuration that the model runs with.
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* Can be used in conjunction with the `seed` request parameter to understand when
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* backend changes have been made that might impact determinism.
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*/
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system_fingerprint?: string;
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}
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export declare namespace ChatCompletionChunk {
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interface Choice {
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/**
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* A chat completion delta generated by streamed model responses.
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*/
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delta: Choice.Delta;
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/**
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* The reason the model stopped generating tokens. This will be `stop` if the model
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* hit a natural stop point or a provided stop sequence, `length` if the maximum
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* number of tokens specified in the request was reached, `content_filter` if
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* content was omitted due to a flag from our content filters, `tool_calls` if the
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* model called a tool, or `function_call` (deprecated) if the model called a
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* function.
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*/
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finish_reason: 'stop' | 'length' | 'tool_calls' | 'content_filter' | 'function_call' | null;
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/**
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* The index of the choice in the list of choices.
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*/
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index: number;
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/**
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* Log probability information for the choice.
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*/
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logprobs?: Choice.Logprobs | null;
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}
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namespace Choice {
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/**
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* A chat completion delta generated by streamed model responses.
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*/
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interface Delta {
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/**
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* The contents of the chunk message.
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*/
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content?: string | null;
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/**
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* Deprecated and replaced by `tool_calls`. The name and arguments of a function
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* that should be called, as generated by the model.
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*/
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function_call?: Delta.FunctionCall;
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/**
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* The role of the author of this message.
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*/
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role?: 'system' | 'user' | 'assistant' | 'tool';
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tool_calls?: Array<Delta.ToolCall>;
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}
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namespace Delta {
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/**
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* Deprecated and replaced by `tool_calls`. The name and arguments of a function
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* that should be called, as generated by the model.
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*/
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interface FunctionCall {
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/**
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* The arguments to call the function with, as generated by the model in JSON
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* format. Note that the model does not always generate valid JSON, and may
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* hallucinate parameters not defined by your function schema. Validate the
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* arguments in your code before calling your function.
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*/
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arguments?: string;
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/**
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* The name of the function to call.
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*/
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name?: string;
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}
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interface ToolCall {
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index: number;
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/**
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* The ID of the tool call.
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*/
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id?: string;
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function?: ToolCall.Function;
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/**
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* The type of the tool. Currently, only `function` is supported.
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*/
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type?: 'function';
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}
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namespace ToolCall {
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interface Function {
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/**
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* The arguments to call the function with, as generated by the model in JSON
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* format. Note that the model does not always generate valid JSON, and may
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* hallucinate parameters not defined by your function schema. Validate the
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* arguments in your code before calling your function.
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*/
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arguments?: string;
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/**
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* The name of the function to call.
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*/
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name?: string;
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}
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}
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}
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/**
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* Log probability information for the choice.
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*/
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interface Logprobs {
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/**
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* A list of message content tokens with log probability information.
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*/
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content: Array<ChatCompletionsAPI.ChatCompletionTokenLogprob> | null;
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}
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}
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}
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export type ChatCompletionContentPart = ChatCompletionContentPartText | ChatCompletionContentPartImage;
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export interface ChatCompletionContentPartImage {
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image_url: ChatCompletionContentPartImage.ImageURL;
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/**
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* The type of the content part.
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*/
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type: 'image_url';
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}
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export declare namespace ChatCompletionContentPartImage {
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interface ImageURL {
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/**
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* Either a URL of the image or the base64 encoded image data.
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*/
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url: string;
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/**
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* Specifies the detail level of the image. Learn more in the
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* [Vision guide](https://platform.openai.com/docs/guides/vision/low-or-high-fidelity-image-understanding).
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*/
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detail?: 'auto' | 'low' | 'high';
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}
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}
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export interface ChatCompletionContentPartText {
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/**
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* The text content.
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*/
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text: string;
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/**
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* The type of the content part.
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*/
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type: 'text';
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}
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/**
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* Specifying a particular function via `{"name": "my_function"}` forces the model
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* to call that function.
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*/
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export interface ChatCompletionFunctionCallOption {
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/**
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* The name of the function to call.
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*/
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name: string;
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}
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export interface ChatCompletionFunctionMessageParam {
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/**
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* The contents of the function message.
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*/
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content: string | null;
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/**
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* The name of the function to call.
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*/
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name: string;
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/**
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* The role of the messages author, in this case `function`.
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*/
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role: 'function';
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}
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/**
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* A chat completion message generated by the model.
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*/
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export interface ChatCompletionMessage {
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/**
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* The contents of the message.
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*/
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content: string | null;
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/**
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* The role of the author of this message.
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*/
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role: 'assistant';
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/**
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* Deprecated and replaced by `tool_calls`. The name and arguments of a function
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* that should be called, as generated by the model.
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*/
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function_call?: ChatCompletionMessage.FunctionCall;
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/**
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* The tool calls generated by the model, such as function calls.
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*/
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tool_calls?: Array<ChatCompletionMessageToolCall>;
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}
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export declare namespace ChatCompletionMessage {
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/**
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* Deprecated and replaced by `tool_calls`. The name and arguments of a function
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* that should be called, as generated by the model.
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*/
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interface FunctionCall {
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/**
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* The arguments to call the function with, as generated by the model in JSON
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* format. Note that the model does not always generate valid JSON, and may
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* hallucinate parameters not defined by your function schema. Validate the
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* arguments in your code before calling your function.
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*/
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arguments: string;
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/**
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* The name of the function to call.
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*/
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name: string;
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}
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}
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export type ChatCompletionMessageParam = ChatCompletionSystemMessageParam | ChatCompletionUserMessageParam | ChatCompletionAssistantMessageParam | ChatCompletionToolMessageParam | ChatCompletionFunctionMessageParam;
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export interface ChatCompletionMessageToolCall {
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/**
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* The ID of the tool call.
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*/
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id: string;
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/**
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* The function that the model called.
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*/
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function: ChatCompletionMessageToolCall.Function;
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/**
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* The type of the tool. Currently, only `function` is supported.
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*/
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type: 'function';
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}
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export declare namespace ChatCompletionMessageToolCall {
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/**
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* The function that the model called.
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*/
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interface Function {
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/**
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* The arguments to call the function with, as generated by the model in JSON
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* format. Note that the model does not always generate valid JSON, and may
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* hallucinate parameters not defined by your function schema. Validate the
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* arguments in your code before calling your function.
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*/
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arguments: string;
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/**
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* The name of the function to call.
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*/
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name: string;
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}
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}
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/**
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||
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|
* Specifies a tool the model should use. Use to force the model to call a specific
|
||
|
|
* function.
|
||
|
|
*/
|
||
|
|
export interface ChatCompletionNamedToolChoice {
|
||
|
|
function: ChatCompletionNamedToolChoice.Function;
|
||
|
|
/**
|
||
|
|
* The type of the tool. Currently, only `function` is supported.
|
||
|
|
*/
|
||
|
|
type: 'function';
|
||
|
|
}
|
||
|
|
export declare namespace ChatCompletionNamedToolChoice {
|
||
|
|
interface Function {
|
||
|
|
/**
|
||
|
|
* The name of the function to call.
|
||
|
|
*/
|
||
|
|
name: string;
|
||
|
|
}
|
||
|
|
}
|
||
|
|
/**
|
||
|
|
* The role of the author of a message
|
||
|
|
*/
|
||
|
|
export type ChatCompletionRole = 'system' | 'user' | 'assistant' | 'tool' | 'function';
|
||
|
|
export interface ChatCompletionSystemMessageParam {
|
||
|
|
/**
|
||
|
|
* The contents of the system message.
|
||
|
|
*/
|
||
|
|
content: string;
|
||
|
|
/**
|
||
|
|
* The role of the messages author, in this case `system`.
|
||
|
|
*/
|
||
|
|
role: 'system';
|
||
|
|
/**
|
||
|
|
* An optional name for the participant. Provides the model information to
|
||
|
|
* differentiate between participants of the same role.
|
||
|
|
*/
|
||
|
|
name?: string;
|
||
|
|
}
|
||
|
|
export interface ChatCompletionTokenLogprob {
|
||
|
|
/**
|
||
|
|
* The token.
|
||
|
|
*/
|
||
|
|
token: string;
|
||
|
|
/**
|
||
|
|
* A list of integers representing the UTF-8 bytes representation of the token.
|
||
|
|
* Useful in instances where characters are represented by multiple tokens and
|
||
|
|
* their byte representations must be combined to generate the correct text
|
||
|
|
* representation. Can be `null` if there is no bytes representation for the token.
|
||
|
|
*/
|
||
|
|
bytes: Array<number> | null;
|
||
|
|
/**
|
||
|
|
* The log probability of this token.
|
||
|
|
*/
|
||
|
|
logprob: number;
|
||
|
|
/**
|
||
|
|
* List of the most likely tokens and their log probability, at this token
|
||
|
|
* position. In rare cases, there may be fewer than the number of requested
|
||
|
|
* `top_logprobs` returned.
|
||
|
|
*/
|
||
|
|
top_logprobs: Array<ChatCompletionTokenLogprob.TopLogprob>;
|
||
|
|
}
|
||
|
|
export declare namespace ChatCompletionTokenLogprob {
|
||
|
|
interface TopLogprob {
|
||
|
|
/**
|
||
|
|
* The token.
|
||
|
|
*/
|
||
|
|
token: string;
|
||
|
|
/**
|
||
|
|
* A list of integers representing the UTF-8 bytes representation of the token.
|
||
|
|
* Useful in instances where characters are represented by multiple tokens and
|
||
|
|
* their byte representations must be combined to generate the correct text
|
||
|
|
* representation. Can be `null` if there is no bytes representation for the token.
|
||
|
|
*/
|
||
|
|
bytes: Array<number> | null;
|
||
|
|
/**
|
||
|
|
* The log probability of this token.
|
||
|
|
*/
|
||
|
|
logprob: number;
|
||
|
|
}
|
||
|
|
}
|
||
|
|
export interface ChatCompletionTool {
|
||
|
|
function: Shared.FunctionDefinition;
|
||
|
|
/**
|
||
|
|
* The type of the tool. Currently, only `function` is supported.
|
||
|
|
*/
|
||
|
|
type: 'function';
|
||
|
|
}
|
||
|
|
/**
|
||
|
|
* Controls which (if any) function is called by the model. `none` means the model
|
||
|
|
* will not call a function and instead generates a message. `auto` means the model
|
||
|
|
* can pick between generating a message or calling a function. Specifying a
|
||
|
|
* particular function via
|
||
|
|
* `{"type": "function", "function": {"name": "my_function"}}` forces the model to
|
||
|
|
* call that function.
|
||
|
|
*
|
||
|
|
* `none` is the default when no functions are present. `auto` is the default if
|
||
|
|
* functions are present.
|
||
|
|
*/
|
||
|
|
export type ChatCompletionToolChoiceOption = 'none' | 'auto' | ChatCompletionNamedToolChoice;
|
||
|
|
export interface ChatCompletionToolMessageParam {
|
||
|
|
/**
|
||
|
|
* The contents of the tool message.
|
||
|
|
*/
|
||
|
|
content: string;
|
||
|
|
/**
|
||
|
|
* The role of the messages author, in this case `tool`.
|
||
|
|
*/
|
||
|
|
role: 'tool';
|
||
|
|
/**
|
||
|
|
* Tool call that this message is responding to.
|
||
|
|
*/
|
||
|
|
tool_call_id: string;
|
||
|
|
}
|
||
|
|
export interface ChatCompletionUserMessageParam {
|
||
|
|
/**
|
||
|
|
* The contents of the user message.
|
||
|
|
*/
|
||
|
|
content: string | Array<ChatCompletionContentPart>;
|
||
|
|
/**
|
||
|
|
* The role of the messages author, in this case `user`.
|
||
|
|
*/
|
||
|
|
role: 'user';
|
||
|
|
/**
|
||
|
|
* An optional name for the participant. Provides the model information to
|
||
|
|
* differentiate between participants of the same role.
|
||
|
|
*/
|
||
|
|
name?: string;
|
||
|
|
}
|
||
|
|
/**
|
||
|
|
* @deprecated ChatCompletionMessageParam should be used instead
|
||
|
|
*/
|
||
|
|
export type CreateChatCompletionRequestMessage = ChatCompletionMessageParam;
|
||
|
|
export type ChatCompletionCreateParams = ChatCompletionCreateParamsNonStreaming | ChatCompletionCreateParamsStreaming;
|
||
|
|
export interface ChatCompletionCreateParamsBase {
|
||
|
|
/**
|
||
|
|
* A list of messages comprising the conversation so far.
|
||
|
|
* [Example Python code](https://cookbook.openai.com/examples/how_to_format_inputs_to_chatgpt_models).
|
||
|
|
*/
|
||
|
|
messages: Array<ChatCompletionMessageParam>;
|
||
|
|
/**
|
||
|
|
* ID of the model to use. See the
|
||
|
|
* [model endpoint compatibility](https://platform.openai.com/docs/models/model-endpoint-compatibility)
|
||
|
|
* table for details on which models work with the Chat API.
|
||
|
|
*/
|
||
|
|
model: (string & {}) | 'gpt-4-0125-preview' | 'gpt-4-turbo-preview' | 'gpt-4-1106-preview' | 'gpt-4-vision-preview' | 'gpt-4' | 'gpt-4-0314' | 'gpt-4-0613' | 'gpt-4-32k' | 'gpt-4-32k-0314' | 'gpt-4-32k-0613' | 'gpt-3.5-turbo' | 'gpt-3.5-turbo-16k' | 'gpt-3.5-turbo-0301' | 'gpt-3.5-turbo-0613' | 'gpt-3.5-turbo-1106' | 'gpt-3.5-turbo-16k-0613';
|
||
|
|
/**
|
||
|
|
* Number between -2.0 and 2.0. Positive values penalize new tokens based on their
|
||
|
|
* existing frequency in the text so far, decreasing the model's likelihood to
|
||
|
|
* repeat the same line verbatim.
|
||
|
|
*
|
||
|
|
* [See more information about frequency and presence penalties.](https://platform.openai.com/docs/guides/text-generation/parameter-details)
|
||
|
|
*/
|
||
|
|
frequency_penalty?: number | null;
|
||
|
|
/**
|
||
|
|
* Deprecated in favor of `tool_choice`.
|
||
|
|
*
|
||
|
|
* Controls which (if any) function is called by the model. `none` means the model
|
||
|
|
* will not call a function and instead generates a message. `auto` means the model
|
||
|
|
* can pick between generating a message or calling a function. Specifying a
|
||
|
|
* particular function via `{"name": "my_function"}` forces the model to call that
|
||
|
|
* function.
|
||
|
|
*
|
||
|
|
* `none` is the default when no functions are present. `auto` is the default if
|
||
|
|
* functions are present.
|
||
|
|
*/
|
||
|
|
function_call?: 'none' | 'auto' | ChatCompletionFunctionCallOption;
|
||
|
|
/**
|
||
|
|
* Deprecated in favor of `tools`.
|
||
|
|
*
|
||
|
|
* A list of functions the model may generate JSON inputs for.
|
||
|
|
*/
|
||
|
|
functions?: Array<ChatCompletionCreateParams.Function>;
|
||
|
|
/**
|
||
|
|
* Modify the likelihood of specified tokens appearing in the completion.
|
||
|
|
*
|
||
|
|
* Accepts a JSON object that maps tokens (specified by their token ID in the
|
||
|
|
* tokenizer) to an associated bias value from -100 to 100. Mathematically, the
|
||
|
|
* bias is added to the logits generated by the model prior to sampling. The exact
|
||
|
|
* effect will vary per model, but values between -1 and 1 should decrease or
|
||
|
|
* increase likelihood of selection; values like -100 or 100 should result in a ban
|
||
|
|
* or exclusive selection of the relevant token.
|
||
|
|
*/
|
||
|
|
logit_bias?: Record<string, number> | null;
|
||
|
|
/**
|
||
|
|
* Whether to return log probabilities of the output tokens or not. If true,
|
||
|
|
* returns the log probabilities of each output token returned in the `content` of
|
||
|
|
* `message`. This option is currently not available on the `gpt-4-vision-preview`
|
||
|
|
* model.
|
||
|
|
*/
|
||
|
|
logprobs?: boolean | null;
|
||
|
|
/**
|
||
|
|
* The maximum number of [tokens](/tokenizer) that can be generated in the chat
|
||
|
|
* completion.
|
||
|
|
*
|
||
|
|
* The total length of input tokens and generated tokens is limited by the model's
|
||
|
|
* context length.
|
||
|
|
* [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken)
|
||
|
|
* for counting tokens.
|
||
|
|
*/
|
||
|
|
max_tokens?: number | null;
|
||
|
|
/**
|
||
|
|
* How many chat completion choices to generate for each input message. Note that
|
||
|
|
* you will be charged based on the number of generated tokens across all of the
|
||
|
|
* choices. Keep `n` as `1` to minimize costs.
|
||
|
|
*/
|
||
|
|
n?: number | null;
|
||
|
|
/**
|
||
|
|
* Number between -2.0 and 2.0. Positive values penalize new tokens based on
|
||
|
|
* whether they appear in the text so far, increasing the model's likelihood to
|
||
|
|
* talk about new topics.
|
||
|
|
*
|
||
|
|
* [See more information about frequency and presence penalties.](https://platform.openai.com/docs/guides/text-generation/parameter-details)
|
||
|
|
*/
|
||
|
|
presence_penalty?: number | null;
|
||
|
|
/**
|
||
|
|
* An object specifying the format that the model must output. Compatible with
|
||
|
|
* [GPT-4 Turbo](https://platform.openai.com/docs/models/gpt-4-and-gpt-4-turbo) and
|
||
|
|
* `gpt-3.5-turbo-1106`.
|
||
|
|
*
|
||
|
|
* Setting to `{ "type": "json_object" }` enables JSON mode, which guarantees the
|
||
|
|
* message the model generates is valid JSON.
|
||
|
|
*
|
||
|
|
* **Important:** when using JSON mode, you **must** also instruct the model to
|
||
|
|
* produce JSON yourself via a system or user message. Without this, the model may
|
||
|
|
* generate an unending stream of whitespace until the generation reaches the token
|
||
|
|
* limit, resulting in a long-running and seemingly "stuck" request. Also note that
|
||
|
|
* the message content may be partially cut off if `finish_reason="length"`, which
|
||
|
|
* indicates the generation exceeded `max_tokens` or the conversation exceeded the
|
||
|
|
* max context length.
|
||
|
|
*/
|
||
|
|
response_format?: ChatCompletionCreateParams.ResponseFormat;
|
||
|
|
/**
|
||
|
|
* This feature is in Beta. If specified, our system will make a best effort to
|
||
|
|
* sample deterministically, such that repeated requests with the same `seed` and
|
||
|
|
* parameters should return the same result. Determinism is not guaranteed, and you
|
||
|
|
* should refer to the `system_fingerprint` response parameter to monitor changes
|
||
|
|
* in the backend.
|
||
|
|
*/
|
||
|
|
seed?: number | null;
|
||
|
|
/**
|
||
|
|
* Up to 4 sequences where the API will stop generating further tokens.
|
||
|
|
*/
|
||
|
|
stop?: string | null | Array<string>;
|
||
|
|
/**
|
||
|
|
* If set, partial message deltas will be sent, like in ChatGPT. Tokens will be
|
||
|
|
* sent as data-only
|
||
|
|
* [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format)
|
||
|
|
* as they become available, with the stream terminated by a `data: [DONE]`
|
||
|
|
* message.
|
||
|
|
* [Example Python code](https://cookbook.openai.com/examples/how_to_stream_completions).
|
||
|
|
*/
|
||
|
|
stream?: boolean | null;
|
||
|
|
/**
|
||
|
|
* What sampling temperature to use, between 0 and 2. Higher values like 0.8 will
|
||
|
|
* make the output more random, while lower values like 0.2 will make it more
|
||
|
|
* focused and deterministic.
|
||
|
|
*
|
||
|
|
* We generally recommend altering this or `top_p` but not both.
|
||
|
|
*/
|
||
|
|
temperature?: number | null;
|
||
|
|
/**
|
||
|
|
* Controls which (if any) function is called by the model. `none` means the model
|
||
|
|
* will not call a function and instead generates a message. `auto` means the model
|
||
|
|
* can pick between generating a message or calling a function. Specifying a
|
||
|
|
* particular function via
|
||
|
|
* `{"type": "function", "function": {"name": "my_function"}}` forces the model to
|
||
|
|
* call that function.
|
||
|
|
*
|
||
|
|
* `none` is the default when no functions are present. `auto` is the default if
|
||
|
|
* functions are present.
|
||
|
|
*/
|
||
|
|
tool_choice?: ChatCompletionToolChoiceOption;
|
||
|
|
/**
|
||
|
|
* A list of tools the model may call. Currently, only functions are supported as a
|
||
|
|
* tool. Use this to provide a list of functions the model may generate JSON inputs
|
||
|
|
* for.
|
||
|
|
*/
|
||
|
|
tools?: Array<ChatCompletionTool>;
|
||
|
|
/**
|
||
|
|
* An integer between 0 and 5 specifying the number of most likely tokens to return
|
||
|
|
* at each token position, each with an associated log probability. `logprobs` must
|
||
|
|
* be set to `true` if this parameter is used.
|
||
|
|
*/
|
||
|
|
top_logprobs?: number | null;
|
||
|
|
/**
|
||
|
|
* An alternative to sampling with temperature, called nucleus sampling, where the
|
||
|
|
* model considers the results of the tokens with top_p probability mass. So 0.1
|
||
|
|
* means only the tokens comprising the top 10% probability mass are considered.
|
||
|
|
*
|
||
|
|
* We generally recommend altering this or `temperature` but not both.
|
||
|
|
*/
|
||
|
|
top_p?: number | null;
|
||
|
|
/**
|
||
|
|
* A unique identifier representing your end-user, which can help OpenAI to monitor
|
||
|
|
* and detect abuse.
|
||
|
|
* [Learn more](https://platform.openai.com/docs/guides/safety-best-practices/end-user-ids).
|
||
|
|
*/
|
||
|
|
user?: string;
|
||
|
|
}
|
||
|
|
export declare namespace ChatCompletionCreateParams {
|
||
|
|
interface Function {
|
||
|
|
/**
|
||
|
|
* The name of the function to be called. Must be a-z, A-Z, 0-9, or contain
|
||
|
|
* underscores and dashes, with a maximum length of 64.
|
||
|
|
*/
|
||
|
|
name: string;
|
||
|
|
/**
|
||
|
|
* A description of what the function does, used by the model to choose when and
|
||
|
|
* how to call the function.
|
||
|
|
*/
|
||
|
|
description?: string;
|
||
|
|
/**
|
||
|
|
* The parameters the functions accepts, described as a JSON Schema object. See the
|
||
|
|
* [guide](https://platform.openai.com/docs/guides/text-generation/function-calling)
|
||
|
|
* for examples, and the
|
||
|
|
* [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for
|
||
|
|
* documentation about the format.
|
||
|
|
*
|
||
|
|
* Omitting `parameters` defines a function with an empty parameter list.
|
||
|
|
*/
|
||
|
|
parameters?: Shared.FunctionParameters;
|
||
|
|
}
|
||
|
|
/**
|
||
|
|
* An object specifying the format that the model must output. Compatible with
|
||
|
|
* [GPT-4 Turbo](https://platform.openai.com/docs/models/gpt-4-and-gpt-4-turbo) and
|
||
|
|
* `gpt-3.5-turbo-1106`.
|
||
|
|
*
|
||
|
|
* Setting to `{ "type": "json_object" }` enables JSON mode, which guarantees the
|
||
|
|
* message the model generates is valid JSON.
|
||
|
|
*
|
||
|
|
* **Important:** when using JSON mode, you **must** also instruct the model to
|
||
|
|
* produce JSON yourself via a system or user message. Without this, the model may
|
||
|
|
* generate an unending stream of whitespace until the generation reaches the token
|
||
|
|
* limit, resulting in a long-running and seemingly "stuck" request. Also note that
|
||
|
|
* the message content may be partially cut off if `finish_reason="length"`, which
|
||
|
|
* indicates the generation exceeded `max_tokens` or the conversation exceeded the
|
||
|
|
* max context length.
|
||
|
|
*/
|
||
|
|
interface ResponseFormat {
|
||
|
|
/**
|
||
|
|
* Must be one of `text` or `json_object`.
|
||
|
|
*/
|
||
|
|
type?: 'text' | 'json_object';
|
||
|
|
}
|
||
|
|
type ChatCompletionCreateParamsNonStreaming = ChatCompletionsAPI.ChatCompletionCreateParamsNonStreaming;
|
||
|
|
type ChatCompletionCreateParamsStreaming = ChatCompletionsAPI.ChatCompletionCreateParamsStreaming;
|
||
|
|
}
|
||
|
|
/**
|
||
|
|
* @deprecated Use ChatCompletionCreateParams instead
|
||
|
|
*/
|
||
|
|
export type CompletionCreateParams = ChatCompletionCreateParams;
|
||
|
|
export interface ChatCompletionCreateParamsNonStreaming extends ChatCompletionCreateParamsBase {
|
||
|
|
/**
|
||
|
|
* If set, partial message deltas will be sent, like in ChatGPT. Tokens will be
|
||
|
|
* sent as data-only
|
||
|
|
* [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format)
|
||
|
|
* as they become available, with the stream terminated by a `data: [DONE]`
|
||
|
|
* message.
|
||
|
|
* [Example Python code](https://cookbook.openai.com/examples/how_to_stream_completions).
|
||
|
|
*/
|
||
|
|
stream?: false | null;
|
||
|
|
}
|
||
|
|
/**
|
||
|
|
* @deprecated Use ChatCompletionCreateParamsNonStreaming instead
|
||
|
|
*/
|
||
|
|
export type CompletionCreateParamsNonStreaming = ChatCompletionCreateParamsNonStreaming;
|
||
|
|
export interface ChatCompletionCreateParamsStreaming extends ChatCompletionCreateParamsBase {
|
||
|
|
/**
|
||
|
|
* If set, partial message deltas will be sent, like in ChatGPT. Tokens will be
|
||
|
|
* sent as data-only
|
||
|
|
* [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format)
|
||
|
|
* as they become available, with the stream terminated by a `data: [DONE]`
|
||
|
|
* message.
|
||
|
|
* [Example Python code](https://cookbook.openai.com/examples/how_to_stream_completions).
|
||
|
|
*/
|
||
|
|
stream: true;
|
||
|
|
}
|
||
|
|
/**
|
||
|
|
* @deprecated Use ChatCompletionCreateParamsStreaming instead
|
||
|
|
*/
|
||
|
|
export type CompletionCreateParamsStreaming = ChatCompletionCreateParamsStreaming;
|
||
|
|
export declare namespace Completions {
|
||
|
|
export import ChatCompletion = ChatCompletionsAPI.ChatCompletion;
|
||
|
|
export import ChatCompletionAssistantMessageParam = ChatCompletionsAPI.ChatCompletionAssistantMessageParam;
|
||
|
|
export import ChatCompletionChunk = ChatCompletionsAPI.ChatCompletionChunk;
|
||
|
|
export import ChatCompletionContentPart = ChatCompletionsAPI.ChatCompletionContentPart;
|
||
|
|
export import ChatCompletionContentPartImage = ChatCompletionsAPI.ChatCompletionContentPartImage;
|
||
|
|
export import ChatCompletionContentPartText = ChatCompletionsAPI.ChatCompletionContentPartText;
|
||
|
|
export import ChatCompletionFunctionCallOption = ChatCompletionsAPI.ChatCompletionFunctionCallOption;
|
||
|
|
export import ChatCompletionFunctionMessageParam = ChatCompletionsAPI.ChatCompletionFunctionMessageParam;
|
||
|
|
export import ChatCompletionMessage = ChatCompletionsAPI.ChatCompletionMessage;
|
||
|
|
export import ChatCompletionMessageParam = ChatCompletionsAPI.ChatCompletionMessageParam;
|
||
|
|
export import ChatCompletionMessageToolCall = ChatCompletionsAPI.ChatCompletionMessageToolCall;
|
||
|
|
export import ChatCompletionNamedToolChoice = ChatCompletionsAPI.ChatCompletionNamedToolChoice;
|
||
|
|
export import ChatCompletionRole = ChatCompletionsAPI.ChatCompletionRole;
|
||
|
|
export import ChatCompletionSystemMessageParam = ChatCompletionsAPI.ChatCompletionSystemMessageParam;
|
||
|
|
export import ChatCompletionTokenLogprob = ChatCompletionsAPI.ChatCompletionTokenLogprob;
|
||
|
|
export import ChatCompletionTool = ChatCompletionsAPI.ChatCompletionTool;
|
||
|
|
export import ChatCompletionToolChoiceOption = ChatCompletionsAPI.ChatCompletionToolChoiceOption;
|
||
|
|
export import ChatCompletionToolMessageParam = ChatCompletionsAPI.ChatCompletionToolMessageParam;
|
||
|
|
export import ChatCompletionUserMessageParam = ChatCompletionsAPI.ChatCompletionUserMessageParam;
|
||
|
|
/**
|
||
|
|
* @deprecated ChatCompletionMessageParam should be used instead
|
||
|
|
*/
|
||
|
|
export import CreateChatCompletionRequestMessage = ChatCompletionsAPI.CreateChatCompletionRequestMessage;
|
||
|
|
export import ChatCompletionCreateParams = ChatCompletionsAPI.ChatCompletionCreateParams;
|
||
|
|
export import CompletionCreateParams = ChatCompletionsAPI.CompletionCreateParams;
|
||
|
|
export import ChatCompletionCreateParamsNonStreaming = ChatCompletionsAPI.ChatCompletionCreateParamsNonStreaming;
|
||
|
|
export import CompletionCreateParamsNonStreaming = ChatCompletionsAPI.CompletionCreateParamsNonStreaming;
|
||
|
|
export import ChatCompletionCreateParamsStreaming = ChatCompletionsAPI.ChatCompletionCreateParamsStreaming;
|
||
|
|
export import CompletionCreateParamsStreaming = ChatCompletionsAPI.CompletionCreateParamsStreaming;
|
||
|
|
}
|
||
|
|
//# sourceMappingURL=completions.d.ts.map
|