AgentFactory.java
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package com.xly.config;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.xly.agent.AgentIdentity;
import com.xly.agent.ReActAgent;
import com.xly.service.ErpClient;
import com.xly.service.FormResolverService;
import com.xly.service.OpService;
import com.xly.service.SystemPromptService;
import com.xly.tool.ErpReadTool;
import com.xly.tool.FormCollectTool;
import com.xly.tool.InteractionTool;
import com.xly.tool.KgQueryTool;
import com.xly.tool.ProposeWriteTool;
import com.xly.agent.ProjectedChatMemory;
import dev.langchain4j.model.chat.StreamingChatModel;
import dev.langchain4j.service.AiServices;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.jdbc.core.JdbcTemplate;
import org.springframework.stereotype.Component;
/**
* 按「每次请求的身份」组装单一 ReAct agent(架构 §5/§7 的 per-call context)。
*
* <p>为什么按请求新建:LangChain4j 流式工具执行发生在模型 HTTP 回调线程,而非控制器工作线程,
* ThreadLocal 不可靠。于是把 {@link AgentIdentity}(透传 token + 权限集)直接注入到**每请求新建**的
* 工具实例里(ErpReadTool/ProposeWriteTool/FormCollectTool),从根上保证鉴权与 token 正确。
*
* <p>工具集**固定 6 个**(findForms/readFormData/lookupRecord/collectForm/proposeWrite/askUser),
* 不再按意图分范围:n=50 基准显示分范围收不到准确率收益,反而破坏 KV-cache 前缀稳定性。
* 无状态、全局的工具({@link KgQueryTool}、{@link InteractionTool})是单例、跨请求复用。
*/
@Component
public class AgentFactory {
private final StreamingChatModel streamingModel;
private final RedisChatMemoryStore memoryStore;
private final SystemPromptService systemPromptService;
private final ErpClient erp;
private final JdbcTemplate jdbc;
private final FormResolverService resolver;
private final OpService ops;
private final ObjectMapper mapper;
private final KgQueryTool kgQueryTool;
private final InteractionTool interactionTool;
public AgentFactory(@Qualifier("agentStreamingModel") StreamingChatModel streamingModel,
RedisChatMemoryStore memoryStore,
SystemPromptService systemPromptService,
ErpClient erp, JdbcTemplate jdbc, FormResolverService resolver, OpService ops,
ObjectMapper mapper, KgQueryTool kgQueryTool, InteractionTool interactionTool) {
this.streamingModel = streamingModel;
this.memoryStore = memoryStore;
this.systemPromptService = systemPromptService;
this.erp = erp;
this.jdbc = jdbc;
this.resolver = resolver;
this.ops = ops;
this.mapper = mapper;
this.kgQueryTool = kgQueryTool;
this.interactionTool = interactionTool;
}
/**
* 组装 ReAct agent:固定 6 工具 + 唯一 system prompt。{@code maxSequentialToolsInvocations}
* 作为循环护栏,杜绝「反复追问同一问题」这类失控 ReAct 循环。
*/
public ReActAgent build(AgentIdentity identity) {
Object[] tools = new Object[]{kgQueryTool, interactionTool,
new ErpReadTool(erp, resolver, identity),
new ProposeWriteTool(erp, jdbc, ops, mapper, identity, resolver),
new FormCollectTool(jdbc, resolver, identity, mapper)};
return AiServices.builder(ReActAgent.class)
.streamingChatModel(streamingModel)
.tools(tools)
.maxSequentialToolsInvocations(8) // 循环护栏:防止 askUser/工具无限自我循环
// token 预算投影记忆:存储保完整、读取按预算收拢,旧工具结果压一行(见 ProjectedChatMemory)
.chatMemoryProvider(memoryId -> new ProjectedChatMemory(memoryId, memoryStore, 6000, 80))
.systemMessageProvider(memoryId -> systemPromptService.prompt())
.build();
}
/** 供确定性「新增」路径直接构建 collectForm 表单(不经 LLM 工具选择)。 */
public FormCollectTool formCollectTool(AgentIdentity identity) {
return new FormCollectTool(jdbc, resolver, identity, mapper);
}
/** 供确定性「修改/作废/审核…」路径直接调 proposeWrite(不经 LLM 工具选择)。 */
public ProposeWriteTool proposeWriteTool(AgentIdentity identity) {
return new ProposeWriteTool(erp, jdbc, ops, mapper, identity, resolver);
}
}