google-genai/com.google.genai.types/CountTokensConfig

CountTokensConfig

public abstract class CountTokensConfig extends JsonSerializable

Config for the count_tokens method.

Constructors

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public void CountTokensConfig()

Types

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public abstract class Builder
Builder for CountTokensConfig.

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 static CountTokensConfig.Builder builder()
Instantiates a builder for CountTokensConfig.
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public static CountTokensConfig fromJson(String jsonString)
Deserializes a JSON string to a CountTokensConfig 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<GenerationConfig> generationConfig()
Configuration that the model uses to generate the response.
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public abstract Optional<HttpOptions> httpOptions()
Used to override HTTP request options.
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public static ObjectMapper objectMapper()
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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 static JsonNode stringToJsonNode(String string)
Converts a Json string to a JsonNode.
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public abstract Optional<Content> systemInstruction()
Instructions for the model to steer it toward better performance.
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public abstract CountTokensConfig.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()
Code that enables the system to interact with external systems to perform an action outside of the knowledge and scope of the model.