Interface OpenAIChatInput

interface OpenAIChatInput {
    frequencyPenalty: number;
    model: string;
    modelName: string;
    n: number;
    presencePenalty: number;
    streaming: boolean;
    temperature: number;
    topP: number;
    apiKey?: string;
    logitBias?: Record<string, number>;
    logprobs?: boolean;
    maxTokens?: number;
    modelKwargs?: Record<string, any>;
    openAIApiKey?: string;
    prefixMessages?: ChatCompletionMessageParam[];
    stop?: string[];
    stopSequences?: string[];
    streamUsage?: boolean;
    supportsStrictToolCalling?: boolean;
    timeout?: number;
    topLogprobs?: number;
    user?: string;
}

Hierarchy (view full)

Implemented by

Properties

frequencyPenalty model modelName n presencePenalty streaming temperature topP apiKey? logitBias? logprobs? maxTokens? modelKwargs? openAIApiKey? prefixMessages? stop? stopSequences? streamUsage? supportsStrictToolCalling? timeout? topLogprobs? user?

Properties

frequencyPenalty

frequencyPenalty: number

Penalizes repeated tokens according to frequency

model

model: string

Model name to use

modelName

modelName: string

Model name to use Alias for model

n

n: number

Number of completions to generate for each prompt

presencePenalty

presencePenalty: number

Penalizes repeated tokens

streaming

streaming: boolean

Whether to stream the results or not. Enabling disables tokenUsage reporting

temperature

temperature: number

Sampling temperature to use

topP

topP: number

Total probability mass of tokens to consider at each step

OptionalapiKey

apiKey?: string

API key to use when making requests to OpenAI. Defaults to the value of OPENAI_API_KEY environment variable.

OptionallogitBias

logitBias?: Record<string, number>

Dictionary used to adjust the probability of specific tokens being generated

Optionallogprobs

logprobs?: boolean

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.

OptionalmaxTokens

maxTokens?: number

Maximum number of tokens to generate in the completion. -1 returns as many tokens as possible given the prompt and the model's maximum context size.

OptionalmodelKwargs

modelKwargs?: Record<string, any>

Holds any additional parameters that are valid to pass to openai.createCompletion that are not explicitly specified on this class.

OptionalopenAIApiKey

openAIApiKey?: string

API key to use when making requests to OpenAI. Defaults to the value of OPENAI_API_KEY environment variable. Alias for apiKey

OptionalprefixMessages

prefixMessages?: ChatCompletionMessageParam[]

ChatGPT messages to pass as a prefix to the prompt

Optionalstop

stop?: string[]

List of stop words to use when generating Alias for stopSequences

OptionalstopSequences

stopSequences?: string[]

List of stop words to use when generating

OptionalstreamUsage

streamUsage?: boolean

Whether or not to include token usage data in streamed chunks.

Default

true

OptionalsupportsStrictToolCalling

supportsStrictToolCalling?: boolean

Whether the model supports the 'strict' argument when passing in tools. Defaults to true if modelName/model starts with 'gpt-' otherwise defaults to false.

Optionaltimeout

timeout?: number

Timeout to use when making requests to OpenAI.

OptionaltopLogprobs

topLogprobs?: number

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.

Optionaluser

user?: string

Unique string identifier representing your end-user, which can help OpenAI to monitor and detect abuse.

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