All Classes and Interfaces
Class
Description
Configuration class for setting up Cross-Origin Resource Sharing (CORS) in the ADK Web
application.
Properties for configuring CORS in ADK Web.
Single-file Spring Boot application for the Agent Server.
DTO for POST /apps/{appName}/eval_sets/{evalSetId}/add-session requests.
Spring Boot REST Controller handling agent-related API endpoints.
Data Transfer Object (DTO) for POST /run and POST /run-sse requests.
A custom SpanExporter that stores relevant span data.
DTO for the response of GET
/apps/{appName}/users/{userId}/sessions/{sessionId}/events/{eventId}/graph.
WebSocket Handler for the /run_live endpoint.
Configuration class for OpenTelemetry, setting up the tracer provider and span exporter.
DTO for POST /apps/{appName}/eval_sets/{evalSetId}/run-eval requests.
DTO for the response of POST /apps/{appName}/eval_sets/{evalSetId}/run-eval.
Service for creating and caching Runner instances.
Configuration class for WebSocket handling.
Dynamically compiles and loads ADK
BaseAgent
implementations from source files.Utility class to generate Graphviz DOT representations of Agent structures.
Properties for loading agents.
AgentTool implements a tool that allows an agent to call another agent.
RequestProcessor
that handles agent transfer for LLM flow.Annotations for tools.
The annotation for binding the 'Schema' input.
The API response contains a response to a call to the GenAI APIs.
The API response contains a response to a call to the GenAI APIs.
Application Integration Toolset
LLM flow with automatic agent transfer support.
Base class for all agents.
Base configuration for all agents.
Base interface for artifact services.
An interface that provides examples for a given query.
Interface for the execution flows to run a group of agents.
Abstract base class for Large Language Models (LLMs).
The base class for a live model connection.
A basic flow that calls the LLM in a loop until a final response is generated.
Base contract for memory services.
Base class for retrieval tools.
The base class for all ADK tools.
Base interface for toolsets.
RequestProcessor
that handles basic information to build the LLM request.A built-in code execution tool that is automatically invoked by Gemini 2 models.
The context of various callbacks for an agent invocation.
Functional interfaces for agent lifecycle callbacks.
Helper interface to allow for sync afterAgentCallback.
Helper interface to allow for sync afterModelCallback.
Helper interface to allow for sync afterToolCallback.
Helper interface to allow for sync beforeAgentCallback.
Helper interface to allow for sync beforeModelCallback.
Helper interface to allow for sync beforeToolCallback.
Utility methods for normalizing agent callbacks.
Represents the Claude Generative AI model by Anthropic.
Frequently used code snippets for collections.
Utility class for interacting with the Google Cloud Connectors API.
Represents the schema for an action.
Represents details of a connection.
Represents the schema and available operations for an entity.
RequestProcessor
that populates content in request for LLM flows.Utility class for converting between different representations of MCP tools.
The default builder for creating MCP client transports.
Represents an event in a session.
Builder for
Event
.Represents the actions attached to an event.
Builder for
EventActions
.Iterable stream of
Event
objects.Represents an few-shot example.
Builder for constructing
Example
instances.RequestProcessor
that populates examples in LLM request.Utility class for examples.
Exits the loop.
Utility class for function calling.
Utility class for handling function calls.
FunctionTool implements a customized function calling tool.
An artifact service implementation using Google Cloud Storage (GCS).
Represents the Gemini Generative AI model.
Builder for
Gemini
.Manages a persistent, bidirectional connection to the Gemini model via WebSockets for real-time
interaction.
Configuration for getting a session.
Builder for
GetSessionConfig
.A built-in tool that is automatically invoked by Gemini 2 models to retrieve search results from
Google Search.
Base client for the HTTP APIs.
Wraps a real HTTP response to expose the methods needed by the GenAI SDK.
Wraps a real HTTP response to expose the methods needed by the GenAI SDK.
RequestProcessor
that gives the agent identity from the frameworkAn in-memory implementation of the
BaseArtifactService
.An in-memory memory service for prototyping purposes only.
The class for the in-memory GenAi runner, using in-memory artifact and session services.
An in-memory implementation of
BaseSessionService
assuming Session
objects are
mutable regarding their state map, events list, and last update time.Represents an instruction that can be provided to an agent to guide its behavior.
Returns an instruction dynamically constructed from the given context.
Plain instruction directly provided to the agent.
RequestProcessor
that handles instructions and global instructions for LLM flows.Utility methods for handling instruction templates.
Utility class for interacting with Google Cloud Application Integration.
Application Integration Tool
The context for an agent invocation.
The base class for the types that needs JSON serialization/deserialization capability.
Response for listing artifacts.
Builder for
ListArtifactsResponse
.Response for listing artifact versions.
Builder for
ListArtifactVersionsResponse
.Response for listing events.
Builder for
ListEventsResponse
.Response for listing sessions.
Builder for
ListSessionsResponse
.Represents a request to be sent to a live connection to the LLM model.
Builder for constructing
LiveRequest
instances.A queue of live requests to be sent to the model.
The LLM-based agent.
Builder for
LlmAgent
.Enum to define if contents of previous events should be included in requests to the underlying
LLM.
Configuration for LlmAgent.
An error indicating that the limit for calls to the LLM has been exceeded.
Central registry for managing Large Language Model (LLM) instances.
The factory interface for creating LLM instances.
Represents a request to be sent to the LLM.
Builder for constructing
LlmRequest
instances.Represents a response received from the LLM.
Builder for constructing
LlmResponse
instances.A tool that loads artifacts and adds them to the session.
A function tool that returns the result asynchronously.
An agent that runs its sub-agents sequentially in a loop.
Builder for
LoopAgent
.Initializes a MCP tool.
Manages MCP client sessions.
Initializes a MCP tool.
Connects to a MCP Server, and retrieves MCP Tools into ADK Tools.
Exception thrown when there's an error during MCP session initialization.
Exception thrown when there's an error during loading tools from the MCP server.
Base exception for all errors originating from
McpToolset
.Interface for building McpClientTransport instances.
Represents one memory entry.
Builder for
MemoryEntry
.Represents a model by name or instance.
Builder for
Model
.Utility class for creating ConcurrentHashMaps.
A shell agent that runs its sub-agents in parallel in isolated manner.
Builder for
ParallelAgent
.Provides read-only access to the context of an agent run.
Configuration to modify an agent's LLM's underlying behavior.
Builder for
RunConfig
.Streaming mode for the runner.
The main class for the GenAI Agents runner.
Utility class for validating schemas.
Represents the response from a memory search.
Builder for
SearchMemoryResponse
.An agent that runs its sub-agents sequentially.
Builder for
SequentialAgent
.Builder for
Session
.Represents a general error that occurred during session management operations.
Indicates that a requested session could not be found.
Utility functions for session service.
Basic LLM flow with fixed request processors and no response post-processing.
Interface for a speech-to-text client.
Parameters for establishing a MCP Server-Sent Events (SSE) connection.
Builder for
SseServerParameters
.A
State
object that also keeps track of the changes to the state.Utility class for capturing and reporting telemetry data within the ADK.
ToolContext object provides a structured context for executing tools or functions.
Builder for
ToolContext
.Functional interface to decide whether a tool should be exposed to the LLM based on the current
context.
Tracks the current ADK version.
A retrieval tool that fetches context from Vertex AI RAG.
TODO: Use the genai HttpApiClient and ApiResponse methods once they are public.
Credentials for accessing Gemini models through Vertex.
Builder for
VertexCredentials
.Implementation of SpeechClientInterface using Vertex AI SpeechClient.