feat: add CLAUDE.md

Signed-off-by: yuluo-yx <yuluo08290126@gmail.com>

Author: yuluo-yx

CLAUDE.md

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+# CLAUDE.md - AI Assistant Guide for Spring AI Alibaba
+
+This file provides guidance for AI assistants working with the Spring AI Alibaba codebase.
+
+## Project Overview
+
+Spring AI Alibaba is a production-ready framework for building Agentic, Workflow, and Multi-agent applications. It is an implementation of the Spring AI framework tailored for Alibaba Cloud services and components. It provides a comprehensive ecosystem for developing AI-powered applications with built-in context engineering and human-in-the-loop support.
+
+**Key Features:**
+
+- Multi-Agent Orchestration with built-in patterns
+- Context Engineering with human-in-the-loop, context compaction, editing, model call limits
+- Graph-based workflow with conditional routing, nested graphs, parallel execution
+- A2A (Agent-to-Agent) support with Nacos integration
+- Rich model support (DashScope, OpenAI, DeepSeek) and MCP (Model Context Protocol)
+- One-stop visual agent platform
+
+## Repository Structure
+
+```
+spring-ai-alibaba/
+├── spring-ai-alibaba-agent-framework/ # Multi-agent framework (Sequential, Parallel, Routing, etc.)
+├── spring-ai-alibaba-graph-core/      # Runtime providing persistence, workflow orchestration, state mgmt
+├── spring-ai-alibaba-studio/          # Embedded UI for debugging agents visually
+├── spring-ai-alibaba-admin/           # One-stop Agent platform (visual dev, observability, MCP mgmt)
+├── spring-ai-alibaba-bom/             # Bill of Materials for dependency management
+├── spring-boot-starters/              # Spring Boot Starters
+│   ├── spring-ai-alibaba-starter-a2a-nacos/     # Nacos A2A communication
+│   ├── spring-ai-alibaba-starter-builtin-nodes/ # Built-in workflow nodes
+│   ├── spring-ai-alibaba-starter-config-nacos/  # Dynamic config with Nacos
+│   └── spring-ai-alibaba-starter-graph-observation/ # Observability
+├── examples/                          # Example applications
+│   ├── chatbot/                       # Chatbot example
+│   ├── deepresearch/                  # Deep research agent example
+│   └── documentation/                 # Documentation examples
+├── tools/                             # Build and linting tools
+└── docs/                              # Documentation
+```
+
+## Build System
+
+### Prerequisites
+
+- **JDK**: 17 (Required by `java.version` property)
+- **Maven**: 3.6+
+- **Git**
+
+### Common Build Commands
+
+```shell
+# Build the entire project (skip tests)
+./mvnw -B package -DskipTests=true
+
+# Build a specific module
+./mvnw -pl :spring-ai-alibaba-agent-framework -B package -DskipTests=true
+
+# Clean project
+./mvnw clean
+
+# Run tests
+./mvnw test
+
+# Run linting checks (using Makefile)
+make lint
+make licenses-check
+```
+
+## Architecture & Key Concepts
+
+### Core Components
+
+- **Agent Framework**: Built-in agents like `SequentialAgent`, `ParallelAgent`, `RoutingAgent`, `LoopAgent`, `SupervisorAgent`.
+- **Graph Core**: Underlying engine for stateful agents, supporting persistence (PostgreSQL, MySQL, Oracle, MongoDB, Redis, File).
+- **A2A (Agent-to-Agent)**: Enables agents to seek and communicate with each other using Nacos as a registry.
+- **Admin & Studio**: Provides visual tools for developing and debugging agent workflows.
+
+### Technology Stack
+
+- **Framework**: Spring Boot 3.5.x, Spring AI 1.1.x
+- **Cloud Integration**: Alibaba Cloud DashScope, Nacos (Service Discovery & Config)
+- **Observability**: Spring Cloud Observation (Micrometer/OpenTelemetry)
+
+## Code Style & Conventions
+
+### General Guidelines
+
+- Follow **Spring AI** standard code formatting.
+- Use **Apache 2.0** license headers for all Java files.
+- **Java 17** features are encouraged (records, switch expressions, text blocks).
+- Avoid `System.out.println` - use SLF4J logging.
+- Use `final` for local variables and parameters where appropriate.
+- Use Lombok annotations (`@Data`, `@Slf4j`, etc.) to reduce boilerplate.
+
+### Linting & Formatting
+
+The project uses `make` for linting tasks:
+- `make codespell`: Checks for spelling errors.
+- `make yaml-lint`: Checks YAML file formatting.
+- `make licenses-check`: Verifies license headers.
+
+### License Header
+
+```java
+/*
+ * Copyright 2025-2026 the original author or authors.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+```
+
+## Testing
+
+### Frameworks
+
+- **JUnit 5** (`org.junit.jupiter`)
+- **Mockito**
+
+### Running Tests
+
+```shell
+# Run all tests
+./mvnw test
+
+# Run a specific test class
+./mvnw -pl :<module-name> -Dtest=<TestClassName> test
+```
+
+## Tips for AI Assistants
+
+1.  **JDK Version**: Project targets JDK 17. Use appropriate language features.
+2.  **Spring Boot**: Uses Spring Boot 3.x. Be aware of `jakarta.*` namespace vs `javax.*`.
+3.  **Dependencies**: Check `spring-ai-alibaba-bom` or parent pom for version management.
+4.  **Makefile**: Use the Makefile in the root for project maintenance tasks (linting, license checks).
+5.  **Structure**: When adding new features, prefer creating or updating modules within `spring-ai-alibaba-agent-framework` or `spring-boot-starters` depending on the scope.
+
+## Important Links
+
+- **Issues**: [https://github.com/alibaba/spring-ai-alibaba/issues](https://github.com/alibaba/spring-ai-alibaba/issues)
+- **Source**: [https://github.com/alibaba/spring-ai-alibaba](https://github.com/alibaba/spring-ai-alibaba)
+- **Contributing**: [CONTRIBUTING.md](CONTRIBUTING.md)