Uses of Package
com.google.genkit.ai

Packages that use com.google.genkit.ai

Package	Description
com.google.genkit
com.google.genkit.ai
com.google.genkit.ai.session	Provides session management for multi-turn agent conversations with persistence.
com.google.genkit.ai.telemetry	Telemetry module for Genkit Java SDK.
com.google.genkit.plugins.anthropic
com.google.genkit.plugins.awsbedrock
com.google.genkit.plugins.compatoai
com.google.genkit.plugins.firebase.retriever	Firestore vector search retriever and indexer components.
com.google.genkit.plugins.googlegenai
com.google.genkit.plugins.localvec
com.google.genkit.plugins.mcp
com.google.genkit.plugins.ollama
com.google.genkit.plugins.openai
com.google.genkit.plugins.pinecone	Pinecone plugin for Genkit providing vector database integration.
com.google.genkit.plugins.postgresql	PostgreSQL plugin for Genkit providing vector database integration using pgvector extension.
com.google.genkit.plugins.weaviate	Weaviate plugin for Genkit providing vector database integration for RAG workflows.
com.google.genkit.prompt

Classes in com.google.genkit.ai used by com.google.genkit

Class	Description
Agent	Represents an agent that can be used as a tool in multi-agent systems.
AgentConfig	Configuration for defining an agent (prompt as tool).
Document	Document represents a document for use with embedders and retrievers.
Embedder	Embedder is an action that generates embeddings from documents.
EmbedResponse	EmbedResponse contains the embeddings generated from documents.
GenerateOptions	Options for text generation requests.
Indexer	Indexer is an action that indexes documents into a vector store.
IndexerRequest	Request to index documents into a vector store.
IndexerResponse	Response from an indexer operation.
InterruptConfig	Configuration for defining an interrupt tool.
Model	Model is the interface for AI model implementations.
ModelRequest	ModelRequest represents a request to a generative AI model.
ModelResponse	ModelResponse represents a response from a generative AI model.
ModelResponseChunk	ModelResponseChunk represents a streaming chunk from a generative AI model.
Prompt	Prompt is a template that generates ModelRequests from input variables.
Retriever	Retriever is an action that retrieves documents based on a query.
RetrieverRequest	RetrieverRequest contains a query for document retrieval.
RetrieverRequest.RetrieverOptions	RetrieverOptions contains options for retrieval.
RetrieverResponse	RetrieverResponse contains documents retrieved from a query.
Tool	Tool represents a function that can be called by an AI model.

Classes in com.google.genkit.ai used by com.google.genkit.ai

Class	Description
Agent	Represents an agent that can be used as a tool in multi-agent systems.
Agent.AgentTransferResult	Result of an agent transfer.
AgentConfig	Configuration for defining an agent (prompt as tool).
AgentConfig.Builder	Builder for AgentConfig.
Candidate	Candidate represents a single model response candidate.
Document	Document represents a document for use with embedders and retrievers.
Embedder	Embedder is an action that generates embeddings from documents.
Embedder.Builder	Builder for Embedder.
EmbedderInfo	EmbedderInfo contains metadata about an embedder's capabilities.
EmbedderInfo.EmbedderCapabilities	EmbedderCapabilities describes what an embedder can do.
EmbedRequest	EmbedRequest contains documents to embed.
EmbedResponse	EmbedResponse contains the embeddings generated from documents.
EmbedResponse.Embedding	Embedding represents a single embedding vector.
FinishReason	FinishReason indicates why the model stopped generating.
GenerateAction	GenerateAction is a utility action that provides a unified interface for generating content from AI models.
GenerateAction.GenerateActionOptions	Options for the generate utility action.
GenerateOptions	Options for text generation requests.
GenerateOptions.Builder	Builder for GenerateOptions.
GenerationConfig	GenerationConfig contains configuration for model generation.
GenerationConfig.Builder	Builder for GenerationConfig.
Indexer	Indexer is an action that indexes documents into a vector store.
Indexer.Builder	Builder for Indexer.
IndexerRequest	Request to index documents into a vector store.
IndexerResponse	Response from an indexer operation.
InterruptConfig	Configuration for defining an interrupt tool.
InterruptConfig.Builder	Builder for InterruptConfig.
Media	Media represents media content in a message part.
Message	Message represents a message in a conversation with a generative AI model.
Message.Builder	Builder for Message.
ModelInfo	ModelInfo contains metadata about a model's capabilities.
ModelInfo.ModelCapabilities	ModelCapabilities describes what a model can do.
ModelRequest	ModelRequest represents a request to a generative AI model.
ModelRequest.Builder	Builder for ModelRequest.
ModelResponse	ModelResponse represents a response from a generative AI model.
ModelResponse.Builder	Builder for ModelResponse.
ModelResponseChunk	ModelResponseChunk represents a streaming chunk from a generative AI model.
OutputConfig	OutputConfig contains configuration for model output generation.
OutputFormat	OutputFormat specifies the format for model output.
Part	Part represents a part of a message content, which can be text, media, tool request, or tool response.
Prompt	Prompt is a template that generates ModelRequests from input variables.
Prompt.Builder	Builder for Prompt.
ResumeOptions	Options for resuming after an interrupt.
ResumeOptions.Builder	Builder for ResumeOptions.
Retriever	Retriever is an action that retrieves documents based on a query.
Retriever.Builder	Builder for Retriever.
RetrieverRequest	RetrieverRequest contains a query for document retrieval.
RetrieverRequest.RetrieverOptions	RetrieverOptions contains options for retrieval.
RetrieverResponse	RetrieverResponse contains documents retrieved from a query.
Role	Role represents the role of a message sender in a conversation.
Tool	Tool represents a function that can be called by an AI model.
Tool.Builder	Builder for Tool.
ToolDefinition	ToolDefinition describes a tool that can be used by a model.
ToolRequest	ToolRequest represents a request from the model to invoke a tool.
ToolResponse	ToolResponse represents a response from a tool invocation.
Usage	Usage represents token usage statistics from a model response.

Classes in com.google.genkit.ai used by com.google.genkit.ai.session

Class	Description
Agent	Represents an agent that can be used as a tool in multi-agent systems.
GenerationConfig	GenerationConfig contains configuration for model generation.
InterruptRequest	Represents an interrupt request from a tool.
Message	Message represents a message in a conversation with a generative AI model.
ModelResponse	ModelResponse represents a response from a generative AI model.
ModelResponseChunk	ModelResponseChunk represents a streaming chunk from a generative AI model.
OutputConfig	OutputConfig contains configuration for model output generation.
ResumeOptions	Options for resuming after an interrupt.
Tool	Tool represents a function that can be called by an AI model.

Classes in com.google.genkit.ai used by com.google.genkit.ai.telemetry

Class	Description
ModelRequest	ModelRequest represents a request to a generative AI model.
ModelResponse	ModelResponse represents a response from a generative AI model.
Usage	Usage represents token usage statistics from a model response.

Classes in com.google.genkit.ai used by com.google.genkit.plugins.anthropic

Class	Description
Model	Model is the interface for AI model implementations.
ModelInfo	ModelInfo contains metadata about a model's capabilities.
ModelRequest	ModelRequest represents a request to a generative AI model.
ModelResponse	ModelResponse represents a response from a generative AI model.
ModelResponseChunk	ModelResponseChunk represents a streaming chunk from a generative AI model.

Classes in com.google.genkit.ai used by com.google.genkit.plugins.awsbedrock

Class	Description
Model	Model is the interface for AI model implementations.
ModelInfo	ModelInfo contains metadata about a model's capabilities.
ModelRequest	ModelRequest represents a request to a generative AI model.
ModelResponse	ModelResponse represents a response from a generative AI model.
ModelResponseChunk	ModelResponseChunk represents a streaming chunk from a generative AI model.

Classes in com.google.genkit.ai used by com.google.genkit.plugins.compatoai

Class	Description
Model	Model is the interface for AI model implementations.
ModelInfo	ModelInfo contains metadata about a model's capabilities.
ModelRequest	ModelRequest represents a request to a generative AI model.
ModelResponse	ModelResponse represents a response from a generative AI model.
ModelResponseChunk	ModelResponseChunk represents a streaming chunk from a generative AI model.

Classes in com.google.genkit.ai used by com.google.genkit.plugins.firebase.retriever

Class	Description
Embedder	Embedder is an action that generates embeddings from documents.
Indexer	Indexer is an action that indexes documents into a vector store.
IndexerRequest	Request to index documents into a vector store.
IndexerResponse	Response from an indexer operation.
Part	Part represents a part of a message content, which can be text, media, tool request, or tool response.
Retriever	Retriever is an action that retrieves documents based on a query.
RetrieverRequest	RetrieverRequest contains a query for document retrieval.
RetrieverResponse	RetrieverResponse contains documents retrieved from a query.

Classes in com.google.genkit.ai used by com.google.genkit.plugins.googlegenai

Class	Description
Embedder	Embedder is an action that generates embeddings from documents.
EmbedRequest	EmbedRequest contains documents to embed.
EmbedResponse	EmbedResponse contains the embeddings generated from documents.
Model	Model is the interface for AI model implementations.
ModelInfo	ModelInfo contains metadata about a model's capabilities.
ModelRequest	ModelRequest represents a request to a generative AI model.
ModelResponse	ModelResponse represents a response from a generative AI model.
ModelResponseChunk	ModelResponseChunk represents a streaming chunk from a generative AI model.

Classes in com.google.genkit.ai used by com.google.genkit.plugins.localvec

Class	Description
Document	Document represents a document for use with embedders and retrievers.
Embedder	Embedder is an action that generates embeddings from documents.
Indexer	Indexer is an action that indexes documents into a vector store.
Retriever	Retriever is an action that retrieves documents based on a query.
RetrieverRequest	RetrieverRequest contains a query for document retrieval.
RetrieverResponse	RetrieverResponse contains documents retrieved from a query.

Classes in com.google.genkit.ai used by com.google.genkit.plugins.mcp

Class	Description
Tool	Tool represents a function that can be called by an AI model.

Classes in com.google.genkit.ai used by com.google.genkit.plugins.ollama

Class	Description
Model	Model is the interface for AI model implementations.
ModelInfo	ModelInfo contains metadata about a model's capabilities.
ModelRequest	ModelRequest represents a request to a generative AI model.
ModelResponse	ModelResponse represents a response from a generative AI model.
ModelResponseChunk	ModelResponseChunk represents a streaming chunk from a generative AI model.

Classes in com.google.genkit.ai used by com.google.genkit.plugins.openai

Class	Description
Embedder	Embedder is an action that generates embeddings from documents.
EmbedRequest	EmbedRequest contains documents to embed.
EmbedResponse	EmbedResponse contains the embeddings generated from documents.
Model	Model is the interface for AI model implementations.
ModelInfo	ModelInfo contains metadata about a model's capabilities.
ModelRequest	ModelRequest represents a request to a generative AI model.
ModelResponse	ModelResponse represents a response from a generative AI model.
ModelResponseChunk	ModelResponseChunk represents a streaming chunk from a generative AI model.

Classes in com.google.genkit.ai used by com.google.genkit.plugins.pinecone

Class	Description
Embedder	Embedder is an action that generates embeddings from documents.
IndexerRequest	Request to index documents into a vector store.
IndexerResponse	Response from an indexer operation.
RetrieverRequest	RetrieverRequest contains a query for document retrieval.
RetrieverResponse	RetrieverResponse contains documents retrieved from a query.

Classes in com.google.genkit.ai used by com.google.genkit.plugins.postgresql

Class	Description
Embedder	Embedder is an action that generates embeddings from documents.
IndexerRequest	Request to index documents into a vector store.
IndexerResponse	Response from an indexer operation.
RetrieverRequest	RetrieverRequest contains a query for document retrieval.
RetrieverResponse	RetrieverResponse contains documents retrieved from a query.

Classes in com.google.genkit.ai used by com.google.genkit.plugins.weaviate

Class	Description
Embedder	Embedder is an action that generates embeddings from documents.
Indexer	Indexer is an action that indexes documents into a vector store.
IndexerRequest	Request to index documents into a vector store.
IndexerResponse	Response from an indexer operation.
Retriever	Retriever is an action that retrieves documents based on a query.
RetrieverRequest	RetrieverRequest contains a query for document retrieval.
RetrieverResponse	RetrieverResponse contains documents retrieved from a query.

Classes in com.google.genkit.ai used by com.google.genkit.prompt

Class	Description
GenerateOptions	Options for text generation requests.
GenerationConfig	GenerationConfig contains configuration for model generation.
ModelRequest	ModelRequest represents a request to a generative AI model.
ModelResponse	ModelResponse represents a response from a generative AI model.
ModelResponseChunk	ModelResponseChunk represents a streaming chunk from a generative AI model.
Prompt	Prompt is a template that generates ModelRequests from input variables.