Create an assistant with a model and instructions

The description of the assistant The maximum length is 512 characters

A list of file IDs attached to this assistant

The system instructions that the assistant uses

A limit on the number of objects to be returned

limit

Sort order by the created_at timestamp of the objects

order

after

before

assistant_id

A list of File IDs attached to this assistant

Create an assistant file by attaching a File to an assistant

The ID of the assistant for which to create a File

The ID of the assistant the file belongs to

The ID of the assistant who the file belongs to

file_id

The ID of the assistant that the file belongs to

thread_id

A list of File IDs that the message should use

The role of the entity that is creating the message

Returns a list of messages for a given thread

The ID of the thread the messages belong to

The ID of the thread to which this message belongs

message_id

The ID of the thread that the message and files belong to

The ID of the message that the files belongs to

The ID of the assistant to use to execute this run

Override the default system message of the assistant

The ID of the Model to be used to execute this run

Override the tools the assistant can use for this run

Returns a list of runs belonging to a thread

A limit on the number of objects to be returned. Defaults:20

run_id

All outputs must be submitted in a single request

The ID of the thread to which this run belongs

The ID of the run that requires the tool output submission

A list of tools for which the outputs are being submitted

Create a thread and run it in one request

The ID of the thread to which the run and run step belongs

The ID of the run to which the run step belongs

step_id

Returns a list of run steps belonging to a run

The ID of the thread the run and run steps belong to

The ID of the run the run steps belong to

The ID of the thread to modify. Only the metadata can be modified

Transcribes audio into the input language.

The audio file to transcribe in one of these formats

file

ID of the model to use. Only whisper-1 is currently available.

model

An optional text to guide the model's style or continue a previous audio segment. The prompt should match the audio language.

prompt

The format of the transcript output; in one of these options

response_format

The sampling temperature; between 0 and 1. Higher values like 0.8 will make the output more random; while lower values like 0.2 will make it more focused and deterministic. If set to 0; the model will use log probability to automatically increase the temperature until certain thresholds are hit.

temperature

The language of the input audio. Supplying the input language in ISO-639-1 format will improve accuracy and latency.

language

The format to audio in. Supported formats are mp3 opus aac and flac

The voice to use when generating the audio

Creates a completion for the chat message.


List of available models for ChatGPT API:  


`gpt-3.5-turbo` (Current)

`gpt-3.5-turbo-16k`

`gpt-3.5-turbo-instruct`


`gpt-4` 

`gpt-4-32k`

`gpt-4-1106-preview`

`gpt-4-vision-preview`


[Official OpenAI model here: https://platform.openai.com/docs/models](https://platform.openai.com/docs/models)

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.

Controls how the model responds to function calls

A list of functions the model may generate JSON inputs for

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.

The maximum number of tokens allowed for the generated answer. By default the number of tokens the model can return will be (4096 - prompt tokens).

The messages to generate chat completions for; in the chat format

ID of the model to use. Currently only gpt-3.5-turbo and gpt-3.5-turbo-0301 are supported

How many chat completion choices to generate for each input message.

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.

Up to 4 sequences where the API will stop generating further tokens.

If set; partial message deltas will be sent like in ChatGPT. Tokens will be sent as data-only server-sent events as they become available; with the stream terminated by a data - [DONE] message.

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.

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.

A unique identifier representing your end-user which can help OpenAI to monitor and detect abuse

Given a prompt, the model will return one or more predicted completions, and can also return the probabilities of alternative tokens at each position.

Generates best_of completions server-side and returns the "best" (the one with the highest log probability per token)

Echo back the prompt in addition to the completion

Accepts a json object that maps tokens (specified by their token ID in the GPT tokenizer) to an associated bias value from -100 to 100.

Include the log probabilities on the logprobs most likely tokens as well the chosen tokens.

The maximum number of tokens to generate in the completion

How many completions to generate for each prompt

The prompt(s) to generate completions for encoded as a string array of strings array of tokens or array of token arrays.

The suffix that comes after a completion of inserted text.

What sampling temperature to use between 0 and 2

An alternative to sampling with temperature called nucleus sampling where the model considers the results of the tokens with

A unique identifier representing your end-user which can help OpenAI to monitor and detect abuse.

Given a prompt and an instruction, the model will return an edited version of the prompt.

The input text to use as a starting point for the edit

The instruction that tells the model how to edit the prompt

How many edits to generate for the input and instruction

An alternative to sampling with temperature called nucleus sampling where the model considers the results of the tokens with top_p probability mass.

Creates an embedding vector representing the input text.

Input text to embed encoded as a string or array of tokens.

Return a list of files that belong to the user's organization.

Upload a file that contains document(s) to be used across various endpoints/features. Currently, the size of all the files uploaded by one organization can be up to 1 GB. Please contact us if you need to increase the storage limit.

The intended purpose of the uploaded documents

purpose

The ID of the file to use for this request

Returns information about a specific file.

Returns the contents of the specified file

Creates an edited or extended image given an original image and a prompt.

image

mask

size

user

Lists the currently available models, and provides basic information about each one such as the owner and availability.

Delete a fine-tuned model. You must have the Owner role in your organization.

Retrieves a model instance, providing basic information about the model such as the owner and permissioning.

The ID of the model to use for this request

Classifies if text violates OpenAI's Content Policy

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