Package ai.badmonkey.agentspaces.springai.autoconfigure

package ai.badmonkey.agentspaces.springai.autoconfigure

Related Packages

Package	Description
ai.badmonkey.agentspaces.springai

Class	Description
AgentSpacesSpringAiAutoConfiguration	The shared base of every agentspaces-springai feature: the properties, the FleetContext each feature resolves its group and spaces through, and the scheduler periodic work runs on.
AgentSpacesSpringAiProperties	Every agentspaces.springai.* property, as immutable records bound by constructor.
AgentSpacesSpringAiProperties.ConversationIdMode	How a conversation is keyed when the caller names none.
AgentSpacesSpringAiProperties.DiscoveryTools	F2: tools that reason about the fleet itself.
AgentSpacesSpringAiProperties.Embedder	F5: the embedder behind semantic discovery.
AgentSpacesSpringAiProperties.EmbedderType	Which embedder semantic discovery uses.
AgentSpacesSpringAiProperties.Mcp	F7: MCP export.
AgentSpacesSpringAiProperties.Memory	F3: chat memory in a replicated space.
AgentSpacesSpringAiProperties.ModelClient	F4, calling side.
AgentSpacesSpringAiProperties.ModelClient.Stream	Streaming behavior.
AgentSpacesSpringAiProperties.ModelServer	F4, serving side.
AgentSpacesSpringAiProperties.OnTimeout	What a fleet tool call does when no result arrives in time.
AgentSpacesSpringAiProperties.RestartMode	What a streaming caller does when a server dies mid-stream.
AgentSpacesSpringAiProperties.Routing	How model servers divide requests between them.
AgentSpacesSpringAiProperties.TakeLease	F3: renew the in-flight take lease on every model round-trip.
AgentSpacesSpringAiProperties.Tools	F1: the fleet's AgentCards as tools.
AgentSpacesSpringAiProperties.Usage	F6: fleet-wide token usage.
AgentSpacesSpringAiProperties.VectorStore	F8: the application's VectorStore served to the fleet as a data asset, through the connector SDK.
FleetDiscoveryToolsAutoConfiguration	F2: tools that reason about the fleet: find_fleet_agents, list_fleet_assets, and fetch_fleet_data, each enabled by its own property.
FleetEmbeddingAutoConfiguration	F5: with agentspaces.springai.embedder.type=spring-ai, semantic discovery ranks with the application's Spring AI EmbeddingModel.
FleetMcpAutoConfiguration	F7: publishes the fleet's tools through the application's Spring AI MCP server and keeps them in step as the fleet changes.
FleetMemoryAutoConfiguration	F3, chat memory in a replicated space: a SpaceChatMemoryRepository over the configured space, the ChatMemory window over it, the ConversationIdResolver, and a FleetChatMemoryAdvisor added to every auto-configured ChatClient.Builder.
FleetModelClientAutoConfiguration	F4, calling side: the fleetChatModel bean.
FleetModelServerAutoConfiguration	F4, serving side: a ModelServer over this peer's provider ChatModel beans, with its ModelCatalog, ModelRequestRouter, and StreamChunkingPolicy, each replaceable by declaring a bean of its interface.
FleetToolsAutoConfiguration	F1: the fleet's AgentCards as Spring AI tools.
FleetUsageAutoConfiguration	F6: fleet-wide token usage.
FleetVectorStoreAutoConfiguration	F8: with agentspaces.springai.vector-store.enabled=true, the application's Spring AI VectorStore becomes a fleet data asset that any agent queries through DataQueryClient or the fetch_fleet_data tool, with leased, pull-once results.
FleetWorkerAutoConfiguration	F3, crash-safe LLM workers: registers the TakeContextAccessor so the worker's take crosses Reactor threads, and adds a TakeLeaseAdvisor to every auto-configured ChatClient.Builder through a ChatClientBuilderCustomizer, so a model call inside a @SpaceTake method keeps its claim for as long as it makes progress.