google-genai/com.google.genai.types/LiveConnectConfig

LiveConnectConfig

public abstract class LiveConnectConfig extends JsonSerializable

Session config for the API connection.

Constructors

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public void LiveConnectConfig()

Types

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public abstract class Builder
Builder for LiveConnectConfig.

Properties

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public final static String MAX_READ_LENGTH_PROPERTY
System property to override the default max JSON string length (20MB) in read constraints.

Functions

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public abstract Optional<AvatarConfig> avatarConfig()
Configures the avatar model behavior.
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public static LiveConnectConfig.Builder builder()
Instantiates a builder for LiveConnectConfig.
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public abstract Optional<ContextWindowCompressionConfig> contextWindowCompression()
Configures context window compression mechanism.
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public abstract Optional<Boolean> enableAffectiveDialog()
If enabled, the model will detect emotions and adapt its responses accordingly.
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public abstract Optional<Boolean> explicitVadSignal()
Configures the explicit VAD signal.
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public static LiveConnectConfig fromJson(String jsonString)
Deserializes a JSON string to a LiveConnectConfig object.
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@InternalApi()
public static T fromJsonNode<T extends JsonSerializable>(JsonNode jsonNode, Class<T> clazz)
Deserializes a JsonNode to an object of the given type.
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@InternalApi()
public static T fromJsonString<T extends JsonSerializable>(String jsonString, Class<T> clazz)
Deserializes a Json string to an object of the given type.
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public abstract Optional<HttpOptions> httpOptions()
Used to override HTTP request options.
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public abstract Optional<AudioTranscriptionConfig> inputAudioTranscription()
The transcription of the input aligns with the input audio language.
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public abstract Optional<Integer> maxOutputTokens()
Maximum number of tokens that can be generated in the response.
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public abstract Optional<MediaResolution> mediaResolution()
If specified, the media resolution specified will be used.
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public static ObjectMapper objectMapper()
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public abstract Optional<AudioTranscriptionConfig> outputAudioTranscription()
The transcription of the output aligns with the language code specified for the output audio.
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public abstract Optional<ProactivityConfig> proactivity()
Configures the proactivity of the model.
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public abstract Optional<RealtimeInputConfig> realtimeInputConfig()
Configures the realtime input behavior in BidiGenerateContent.
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public abstract Optional<List<Modality>> responseModalities()
The requested modalities of the response.
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public abstract Optional<List<SafetySetting>> safetySettings()
Safety settings in the request to block unsafe content in the response.
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public abstract Optional<Integer> seed()
When ``seed`` is fixed to a specific number, the model makes a best effort to provide the same response for repeated requests.
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public abstract Optional<SessionResumptionConfig> sessionResumption()
Configures session resumption mechanism.
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public static void setMaxReadLength(int maxReadLength)
Overrides the default maximum JSON string length (20MB) for the JSON parser.
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public abstract Optional<SpeechConfig> speechConfig()
The speech generation configuration.
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public abstract Optional<StreamTranslationConfig> streamTranslationConfig()
Config for stream translation.
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public static JsonNode stringToJsonNode(String string)
Converts a Json string to a JsonNode.
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public abstract Optional<Content> systemInstruction()
The user provided system instructions for the model.
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public abstract Optional<Float> temperature()
Value that controls the degree of randomness in token selection.
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public abstract Optional<ThinkingConfig> thinkingConfig()
Config for thinking features.
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public abstract LiveConnectConfig.Builder toBuilder()
Creates a builder with the same values as this instance.
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public String toJson()
Serializes the instance to a Json string.
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public static JsonNode toJsonNode(Object object)
Serializes an object to a JsonNode.
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public static String toJsonString(Object object)
Serializes an object to a Json string.
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public abstract Optional<List<Tool>> tools()
A list of `Tools` the model may use to generate the next response.
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public abstract Optional<Float> topK()
For each token selection step, the ``top_k`` tokens with the highest probabilities are sampled.
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public abstract Optional<Float> topP()
Tokens are selected from the most to least probable until the sum of their probabilities equals this value.