GoogleLLMBuilder class
Google-specific LLM builder with provider-specific configuration methods
This builder provides a layered configuration approach where Google-specific parameters are handled separately from the generic LLMBuilder, keeping the main builder clean and focused.
Use this for Google-specific parameters only. For common parameters like apiKey, model, temperature, etc., continue using the base LLMBuilder methods.
Constructors
- GoogleLLMBuilder.new(LLMBuilder _baseBuilder)
Properties
- hashCode → int
-
The hash code for this object.
no setterinherited
- runtimeType → Type
-
A representation of the runtime type of the object.
no setterinherited
Methods
-
build(
) → Future< ChatCapability> - Builds and returns a configured LLM provider instance
-
buildEmbedding(
) → Future< EmbeddingCapability> - Builds a provider with EmbeddingCapability
-
buildGoogleTTS(
) → Future< GoogleTTSCapability> - Builds a provider with GoogleTTSCapability
-
buildImageGeneration(
) → Future< ImageGenerationCapability> - Builds a provider with ImageGenerationCapability
-
buildModelListing(
) → Future< ModelListingCapability> - Builds a provider with ModelListingCapability
-
candidateCount(
int count) → GoogleLLMBuilder - Sets candidate count for response generation
-
embeddingDimensions(
int dimensions) → GoogleLLMBuilder - Sets the output dimensionality for embeddings
-
embeddingTaskType(
String taskType) → GoogleLLMBuilder - Sets the task type for embeddings
-
embeddingTitle(
String title) → GoogleLLMBuilder - Sets the title for embedding documents (only for RETRIEVAL_DOCUMENT task type)
-
enableAudioOutput(
) → GoogleLLMBuilder - Enable audio response modality for TTS
-
enableImageGeneration(
bool enable) → GoogleLLMBuilder - Enables image generation capability
-
forClassification(
{int? dimensions}) → GoogleLLMBuilder - Configure for classification tasks
-
forClustering(
{int? dimensions}) → GoogleLLMBuilder - Configure for clustering tasks
-
forDocumentRetrieval(
{String? title, int? dimensions}) → GoogleLLMBuilder - Configure for document retrieval
-
forSearchQuery(
{int? dimensions}) → GoogleLLMBuilder - Configure for search queries
-
forSemanticSimilarity(
{int? dimensions}) → GoogleLLMBuilder - Configure for semantic similarity tasks
-
includeThoughts(
bool include) → GoogleLLMBuilder - Enables or disables including thoughts in the response
-
maxInlineDataSize(
int size) → GoogleLLMBuilder - Sets maximum inline data size (default: 20MB)
-
multiSpeakerTTS(
{Map< String, String> ? defaultSpeakerVoices, String? model}) → GoogleLLMBuilder - Configure for multi-speaker TTS
-
noSuchMethod(
Invocation invocation) → dynamic -
Invoked when a nonexistent method or property is accessed.
inherited
-
reasoningEffort(
ReasoningEffort effort) → GoogleLLMBuilder - Sets the reasoning effort for models that support it
-
responseModalities(
List< String> modalities) → GoogleLLMBuilder -
Sets response modalities (e.g.,
'TEXT', 'IMAGE') -
safetySettings(
List< SafetySetting> settings) → GoogleLLMBuilder - Sets safety settings for content filtering
-
singleSpeakerTTS(
{String voiceName = 'Kore', String? model}) → GoogleLLMBuilder - Configure for single-speaker TTS
-
stopSequences(
List< String> sequences) → GoogleLLMBuilder - Sets stop sequences for response generation
-
thinkingBudgetTokens(
int tokens) → GoogleLLMBuilder - Sets thinking budget tokens for reasoning models
-
toString(
) → String -
A string representation of this object.
inherited
-
ttsModel(
String model) → GoogleLLMBuilder - Sets the TTS model to use
-
voice(
String voiceName) → GoogleLLMBuilder - Configure TTS with specific voice
Operators
-
operator ==(
Object other) → bool -
The equality operator.
inherited