All Classes and Interfaces
Class
Description
Represents an attachment that can be sent to an LLM and displayed in
messages.
An exception which is thrown when somebody attempts to use AI component
features without activating the associated feature flag first.
Provides the AI components feature flag for AI-related features such as
AIOrchestrator, modular upload components, and MessageListItem attachments.
Contributes tools and lifecycle hooks to an
AIOrchestrator —
domain-specific behaviour like populating a grid, building a chart, or
filling a form from natural-language requests.Interface for file upload components that are used in an AI conversation.
Interface for input components that are used in an AI conversation.
Represents a message in an AI conversation.
Interface for message list components that can display AI conversation
messages.
Callback for attachment click events in the message list.
Orchestrator for AI-powered chat interfaces.
Builder for configuring and creating an
AIOrchestrator instance.Fluent API for restoring transient dependencies on an
AIOrchestrator after deserialization.Listener for attachment click events.
Event fired when an attachment in the message list is clicked.
Supported content type categories for attachments.
Represents a chat message in a conversation history.
The role of a message sender in a conversation.
How sure the LLM was about a value it produced.
Provider for database schema information and SQL query execution on behalf of
an LLM.
Factory for creating reusable database
LLMProvider.ToolSpec
instances.LangChain4j implementation of
LLMProvider.Framework-agnostic interface for Large Language Model (LLM) providers.
Represents a request to the LLM containing all necessary context,
configuration, and tools.
A framework-agnostic tool definition that the LLM can invoke.
A rectangular area on a page of the source document.
A rectangle expressed as fractions of the surface it sits on, measured from
the top-left corner.
Intercepts the user's input before the orchestrator acts on it.
Handle for completing a prompt postponed via
RequestInterceptor.RequestInterceptEvent.postpone(Duration).The content of one prompt, handed to a
RequestInterceptor before
the orchestrator acts on it.Listener for request submission events.
Event fired just before the LLM stream opens for a prompt.
Listener for LLM response events.
Event fired when a turn ends, on success or failure.
One snippet the LLM says it read to produce a value.
Where a
SourceExtract sits inside its source document.Spring AI implementation of
LLMProvider.Signals a tool failure whose message is safe to pass back to the LLM.
The source data the LLM reported alongside one value it produced: the
snippets it read and how sure it was.