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    Interface LiveGenerationConfigBeta

    Configuration parameters used by LiveGenerativeModel to control live content generation.

    interface LiveGenerationConfig {
        frequencyPenalty?: number;
        inputAudioTranscription?: AudioTranscriptionConfig;
        maxOutputTokens?: number;
        outputAudioTranscription?: AudioTranscriptionConfig;
        presencePenalty?: number;
        responseModalities?: ResponseModality[];
        speechConfig?: SpeechConfig;
        temperature?: number;
        topK?: number;
        topP?: number;
    }
    Index

    Properties

    frequencyPenalty? inputAudioTranscription? maxOutputTokens? outputAudioTranscription? presencePenalty? responseModalities? speechConfig? temperature? topK? topP?

    Properties

    frequencyPenalty?: number

    Frequency penalties.

    inputAudioTranscription?: AudioTranscriptionConfig

    Enables transcription of audio input.

    When enabled, the model will respond with transcriptions of your audio input in the inputTranscriptions property in LiveServerContent messages. Note that the transcriptions are broken up across messages, so you may only receive small amounts of text per message. For example, if you ask the model "How are you today?", the model may transcribe that input across three messages, broken up as "How a", "re yo", "u today?".

    maxOutputTokens?: number

    Specifies the maximum number of tokens that can be generated in the response. The number of tokens per word varies depending on the language outputted. Is unbounded by default.

    outputAudioTranscription?: AudioTranscriptionConfig

    Enables transcription of audio input.

    When enabled, the model will respond with transcriptions of its audio output in the outputTranscription property in LiveServerContent messages. Note that the transcriptions are broken up across messages, so you may only receive small amounts of text per message. For example, if the model says "How are you today?", the model may transcribe that output across three messages, broken up as "How a", "re yo", "u today?".

    presencePenalty?: number

    Positive penalties.

    responseModalities?: ResponseModality[]

    The modalities of the response.

    speechConfig?: SpeechConfig

    Configuration for speech synthesis.

    temperature?: number

    Controls the degree of randomness in token selection. A temperature value of 0 means that the highest probability tokens are always selected. In this case, responses for a given prompt are mostly deterministic, but a small amount of variation is still possible.

    topK?: number

    Changes how the model selects token for output. A topK value of 1 means the select token is the most probable among all tokens in the model's vocabulary, while a topK value 3 means that the next token is selected from among the 3 most probably using probabilities sampled. Tokens are then further filtered with the highest selected temperature sampling. Defaults to 40 if unspecified.

    topP?: number

    Changes how the model selects tokens for output. Tokens are selected from the most to least probable until the sum of their probabilities equals the topP value. For example, if tokens A, B, and C have probabilities of 0.3, 0.2, and 0.1 respectively and the topP value is 0.5, then the model will select either A or B as the next token by using the temperature and exclude C as a candidate. Defaults to 0.95 if unset.

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