spring-ai-alibaba v1.1.0.0-M5

Spring AI Alibaba 1.1.0.0-M5 Release Notes

Spring AI Alibaba 1.1.x provides the core features for building enterprise-level agent applications, built upon the practical experience learned from building agent with 1.0.x in Alibaba and numerous enterprises. 1.1.x offers various agent development modes such as Agentic, Multi-agent, and Workflow orchestration, helping developers construct enterprise-grade applications.

The official website and documentation have also been upgraded following 1.1.x.

Agent Framework

ReactAgent

• ReAct paradigm (Reasoning + Acting) implementation with reasoning-action loop iteration
• Tool calling capabilities with FunctionToolCallback and ToolContext for state access
• Streaming output support with real-time execution progress and token streaming
• Structured output with outputSchema and outputType for format definition

Context Engineering

• Model context: Dynamic system prompts, message history management, tool selection, model configuration
• Tool context: Access state, store, and runtime configuration through ToolContext
• Lifecycle context: Hook mechanism (before/after agent/model) for context injection and modification

Memory Management

• Short-term memory: Session-level persistence based on Checkpointer (MemorySaver, RedisSaver, etc.)
• Long-term memory: MemoryStore supports cross-session data storage with namespace and key-value management
• Message management: Strategies for message trimming, deletion, and summarization to address context window limitations

Human-in-the-Loop

• HumanInTheLoopHook supports manual approval workflow for tool calls
• Three decision types: approve, edit, and reject
• Interrupt recovery mechanism based on Checkpointer

Hooks & Interceptors

• Built-in Hooks: SummarizationHook, ModelCallLimitHook, PIIDetectionHook, HumanInTheLoopHook
• Built-in Interceptors: ToolRetryInterceptor, TodoListInterceptor, ToolSelectionInterceptor, ContextEditingInterceptor
• Custom extensions: ModelHook, AgentHook, ModelInterceptor, ToolInterceptor

Multi-agent Support

Flow Agents

• SequentialAgent: Sequential execution of multiple agents with state passing
• ParallelAgent: Parallel execution of multiple agents with custom merge strategies
• LlmRoutingAgent: LLM-based intelligent routing for dynamic selection of the most suitable sub-agent
• FlowAgent abstraction: Support for custom multi-agent collaboration patterns

Agent as Tool

• AgentTool: Encapsulates ReactAgent as a tool for other agents to call
• Input/output control: Supports inputSchema, inputType, outputSchema, outputType
• Context isolation: Sub-agents execute independently, results returned to the controller agent

A2A (Agent-to-Agent)

• A2A protocol support: Enables distributed agent communication
• Nacos integration: Agent registration and discovery with load balancing support
• A2aRemoteAgent: Remote agent invocation capability

Enhanced Graph Engine

StateGraph

• Core concepts: State, Node, Edge
• Custom nodes: Support for NodeAction and NodeActionWithConfig interfaces
• Conditional routing: addConditionalEdges supports state-based dynamic branching
• Parallel execution: Supports multi-node parallel execution and result aggregation

ReactAgent Integration

• ReactAgent.asNode(): Embeds agent as SubGraph node in workflows
• Context passing: Controls message history and reasoning content transmission
• Hybrid orchestration: Mix agent nodes with regular nodes

Streaming & Performance

• Streaming response: Real-time streaming output of node execution status and tokens
• Performance optimization: 15x+ throughput improvement compared to Dify platform (150 RPS vs 10 RPS)

RAG (Retrieval-Augmented Generation)

• Two-step RAG: Fixed retrieval-generation pipeline, suitable for FAQ and document bots
• Agentic RAG: Agent-driven dynamic retrieval with multi-tool access
• Hybrid RAG: Complete workflow combining query enhancement, retrieval validation, and answer verification
• Knowledge base construction: Supports document loading, text splitting, and vector store integration

Upgrade Spring AI to 1.1.0 latest milestone version

• MCP (Model Context Protocol) upgrade, including authentication, connection retry, streamable, stateless, etc.
• Bugfixes and enhancements

Breaking Changes and Migration Guide

Please check documentation on the official website for breaking changes and how to migrate to 1.0.x.

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Source alibaba/spring-ai-alibaba · v1.1.0.0-M5 · 2025-11-17 · upstream release

Mirrored verbatim for indexing. All rights belong to the upstream project.