agentscope-java
Development assistant for AgentScope Java framework, focusing on reactive multi-agent systems.
Install
mkdir -p .claude/skills/agentscope-java && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/4093" && unzip -o skill.zip -d .claude/skills/agentscope-java && rm skill.zipInstalls to .claude/skills/agentscope-java
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Expert Java developer skill for AgentScope Java framework - a reactive, message-driven multi-agent system built on Project Reactor. Use when working with reactive programming, LLM integration, agent orchestration, multi-agent systems, or when the user mentions AgentScope, ReActAgent, Mono/Flux, Project Reactor, or Java agent development. Specializes in non-blocking code, tool integration, hooks, pipelines, and production-ready agent applications.Key capabilities
- →Create reactive pipelines using Flux and Mono
- →Integrate LLMs into asynchronous Java workflows
- →Implement error handling via Reactor operators
- →Apply builder patterns for agent orchestration
How it works
Operates as a library wrapper that enforces non-blocking reactive paradigms for message-driven agent interactions.
Inputs & outputs
When to use agentscope-java
- →Developing reactive multi-agent systems
- →Integrating LLMs into Java workflows
- →Writing non-blocking async code
About this skill
When the user asks you to write AgentScope Java code, follow these instructions carefully.
CRITICAL RULES - NEVER VIOLATE THESE
🚫 ABSOLUTELY FORBIDDEN:
- NEVER use
.block()in example code - This is the #1 mistake. Only use.block()inmain()methods or test code when explicitly creating a runnable example. - NEVER use
Thread.sleep()- UseMono.delay()instead. - NEVER use
ThreadLocal- Use Reactor Context withMono.deferContextual(). - NEVER hardcode API keys - Always use
System.getenv(). - NEVER ignore errors silently - Always log errors and provide fallback values.
- NEVER use wrong import paths - Shared model interfaces are in
io.agentscope.core.model.*; provider models are inio.agentscope.extensions.model.<provider>.*.
✅ ALWAYS DO:
- Use
MonoandFluxfor all asynchronous operations. - Chain operations with
.map(),.flatMap(),.then(). - Use Builder pattern for creating agents, models, and messages.
- Include error handling with
.onErrorResume()or.onErrorReturn(). - Add logging with SLF4J for important operations.
- Use correct imports:
import io.agentscope.extensions.model.dashscope.DashScopeChatModel; - Use correct APIs (many methods don't exist or have changed):
toolkit.registerTool()NOTregisterObject()toolkit.getToolNames()NOTgetTools()event.getToolUse().getName()NOTgetToolName()result.getOutput()NOTgetContent()(ToolResultBlock)event.getToolResult()NOTgetResult()(PostActingEvent)toolUse.getInput()NOTgetArguments()(ToolUseBlock)- Model builder: NO
temperature()method, usedefaultOptions(GenerateOptions.builder()...) - Hook events: NO
getMessages(),getResponse(),getIterationCount(),getThinkingBlock()methods - ToolResultBlock: NO
getToolUseName()method, useevent.getToolUse().getName()instead - ToolResultBlock.getOutput() returns
List<ContentBlock>NOTString, need to convert - @ToolParam format: MUST use
@ToolParam(name = "x", description = "y")NOT@ToolParam(name="x")
WHEN GENERATING CODE
FIRST: Identify the context
- Is this a
main()method or test code? →.block()is allowed (but add a warning comment) - Is this agent logic, service method, or library code? →
.block()is FORBIDDEN
For every code example you provide:
- Check: Does it use
.block()? → If yes in non-main/non-test code, REWRITE IT. - Check: Are all operations non-blocking? → If no, FIX IT.
- Check: Does it have error handling? → If no, ADD IT.
- Check: Are API keys from environment? → If no, CHANGE IT.
- Check: Are imports correct? → If using provider models from
io.agentscope.core.model.*, FIX TOio.agentscope.extensions.model.<provider>.*.
Default code structure for agent logic:
// ✅ CORRECT - Non-blocking, reactive (use this pattern by default)
return model.generate(messages, null, null)
.map(response -> processResponse(response))
.onErrorResume(e -> {
log.error("Operation failed", e);
return Mono.just(fallbackValue);
});
// ❌ WRONG - Never generate this in agent logic
String result = model.generate(messages, null, null).block(); // DON'T DO THIS
Only for main() methods (add warning comment):
public static void main(String[] args) {
// ⚠️ .block() is ONLY allowed here because this is a main() method
Msg response = agent.call(userMsg).block();
System.out.println(response.getTextContent());
}
PROJECT SETUP
When creating a new AgentScope project, use the correct Maven dependencies:
Maven Configuration (pom.xml)
For production use (recommended):
<properties>
<java.version>17</java.version>
</properties>
<dependencies>
<!-- Use the latest stable release from Maven Central -->
<dependency>
<groupId>io.agentscope</groupId>
<artifactId>agentscope</artifactId>
<version>1.0.12</version>
</dependency>
</dependencies>
For local development (if working with source code):
<properties>
<agentscope.version>1.0.12</agentscope.version>
<java.version>17</java.version>
</properties>
<dependencies>
<dependency>
<groupId>io.agentscope</groupId>
<artifactId>agentscope-core</artifactId>
<version>${agentscope.version}</version>
</dependency>
<dependency>
<groupId>io.agentscope</groupId>
<artifactId>agentscope-extensions-model-dashscope</artifactId>
<version>${agentscope.version}</version>
</dependency>
</dependencies>
⚠️ IMPORTANT: Version Selection
- Use
agentscope:1.0.12for production (stable, from Maven Central) - Use
agentscope-core:1.0.12only if you're developing AgentScope itself - NEVER use version
0.1.0-SNAPSHOT- this version doesn't exist
⚠️ CRITICAL: Common Dependency Mistakes
❌ WRONG - These artifacts don't exist:
<!-- DON'T use these - they don't exist -->
<dependency>
<groupId>io.agentscope</groupId>
<artifactId>agentscope-model-dashscope</artifactId> <!-- ❌ WRONG -->
</dependency>
<dependency>
<groupId>io.agentscope</groupId>
<artifactId>agentscope-model-openai</artifactId> <!-- ❌ WRONG -->
</dependency>
❌ WRONG - These versions don't exist:
<dependency>
<groupId>io.agentscope</groupId>
<artifactId>agentscope-core</artifactId>
<version>0.1.0-SNAPSHOT</version> <!-- ❌ WRONG - doesn't exist -->
</dependency>
<dependency>
<groupId>io.agentscope</groupId>
<artifactId>agentscope</artifactId>
<version>0.1.0</version> <!-- ❌ WRONG - doesn't exist -->
</dependency>
✅ CORRECT - Use the stable release:
<!-- For production: use the stable release from Maven Central -->
<dependency>
<groupId>io.agentscope</groupId>
<artifactId>agentscope</artifactId>
<version>1.0.12</version> <!-- ✅ CORRECT -->
</dependency>
Available Model Classes (provider-specific extension modules)
// DashScope (Alibaba Cloud)
import io.agentscope.extensions.model.dashscope.DashScopeChatModel;
// OpenAI
import io.agentscope.extensions.model.openai.OpenAIChatModel;
// Gemini (Google)
import io.agentscope.extensions.model.gemini.GeminiChatModel;
// Anthropic (Claude)
import io.agentscope.extensions.model.anthropic.AnthropicChatModel;
// Ollama (Local models)
import io.agentscope.extensions.model.ollama.OllamaChatModel;
Optional Extensions
<!-- Long-term memory with Mem0 -->
<dependency>
<groupId>io.agentscope</groupId>
<artifactId>agentscope-extensions-mem0</artifactId>
<version>${agentscope.version}</version>
</dependency>
<!-- RAG with Dify -->
<dependency>
<groupId>io.agentscope</groupId>
<artifactId>agentscope-extensions-rag-dify</artifactId>
<version>${agentscope.version}</version>
</dependency>
PROJECT OVERVIEW & ARCHITECTURE
AgentScope Java is a reactive, message-driven multi-agent framework built on Project Reactor and Java 17+.
Core Abstractions
Agent: The fundamental unit of execution. Most agents extendAgentBase.Msg: The message object exchanged between agents.Memory: Stores conversation history (InMemoryMemory,LongTermMemory).Toolkit&AgentTool: Defines capabilities the agent can use.Model: Interfaces with LLMs (OpenAI, DashScope, Gemini, Anthropic, etc.).Hook: Intercepts and modifies agent execution at various lifecycle points.Pipeline: Orchestrates multiple agents in sequential or parallel patterns.
Reactive Nature
Almost all operations (agent calls, model inference, tool execution) return Mono<T> or Flux<T>.
Key Design Principles
- Non-blocking: All I/O operations are asynchronous
- Message-driven: Agents communicate via immutable
Msgobjects - Composable: Agents and pipelines can be nested and combined
- Extensible: Hooks and custom tools allow deep customization
CODING STANDARDS & BEST PRACTICES
2.1 Java Version & Style
Target Java 17 (LTS) for maximum compatibility:
- Use Java 17 features (Records, Switch expressions, Pattern Matching for instanceof,
var, Sealed classes) - AVOID Java 21+ preview features (pattern matching in switch, record patterns)
- Follow standard Java conventions (PascalCase for classes, camelCase for methods/variables)
- Use Lombok where appropriate (
@Data,@Builderfor DTOs/Messages) - Prefer immutability for data classes
- Use meaningful names that reflect domain concepts
⚠️ CRITICAL: Avoid Preview Features
// ❌ WRONG - Requires Java 21 with --enable-preview
return switch (event) {
case PreReasoningEvent e -> Mono.just(e); // Pattern matching in switch
default -> Mono.just(event);
};
// ✅ CORRECT - Java 17 compatible
if (event instanceof PreReasoningEvent e) { // Pattern matching for instanceof (Java 17)
return Mono.just(event);
} else {
return Mono.just(event);
}
2.2 Reactive Programming (Critical)
⚠️ NEVER BLOCK IN AGENT LOGIC
Blocking operations will break the reactive chain and cause performance issues.
Rules:
- ❌ Never use
.block()in agent logic (only inmainmethods or tests) - ✅ Use
Monofor single results (e.g.,agent.call()) - ✅ Use
Fluxfor streaming responses (e.g.,model.stream()) - ✅ Chain operations using
.map(),.flatMap(),.then() - ✅ Use
Mono.defer()for lazy evaluation - ✅ Use
Mono.deferContextual()for reactive context access
Example:
// ❌ WRONG - Blocking
public Mono<String> processData(String input) {
String result = externalService.call(input).block(); // DON'T DO THIS
return Mono.just(result);
}
// ✅ CORRECT - Non-blocking
public Mono<String> processData(String input) {
return externalService.call(input)
.map(
---
*Content truncated.*
When not to use it
- →Synchronous monolithic application development
- →Projects requiring traditional blocking I/O
- →Simple scripts where reactive overhead is unnecessary
Prerequisites
Limitations
- →Steep learning curve for reactive paradigm
- →Debugging stack traces is more complex than standard Java
- →Not compatible with libraries requiring thread-local state
How it compares
It strictly forbids blocking calls (`.block()`) to ensure the system remains responsive under heavy concurrent load.
Compared to similar skills
agentscope-java side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| agentscope-java (this skill) | 1 | 2mo | No flags | Advanced |
| workflow-orchestration-patterns | 10 | 2mo | No flags | Advanced |
| managing-api-cache | 2 | 26d | Review | Advanced |
| generating-rest-apis | 0 | 26d | Review | Advanced |
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