feat: 替换 PPIO 为 Atlas Cloud 并增强知识库功能

- 将 PPIO 服务提供商替换为 Atlas Cloud
- 更新 README 赞助商信息
- 删除 PPIOEmbeddingProvider 和相关测试
- 知识库新增重排序、混合检索、相似度阈值等字段
- 更新 SQL 初始化脚本

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

README.md

@@ -72,7 +72,7 @@
 - **实时通信**：WebSocket 实时通信，SSE 流式响应
 - **系统监控**：完善的日志体系、性能监控、服务健康检查
 
-## 使用web coding急速部署
+## 使用web coding部署
 ####  在线体验： https://monkeycode-ai.com/?ic=019d9e9f-edc3-7a4b-8987-11b028751a1e
 
 <table>
@@ -233,17 +233,21 @@ docker-compose -f docker-compose-all.yaml restart [服务名]
 ## 🙏 特别鸣谢
 
 感谢以下优秀的开源项目为本项目提供支持：
-- [Spring AI Alibaba Copilot](https://github.com/spring-ai-alibaba/copilot) - 基于spring-ai-alibaba
-  的智能编码助手
 - [Langchain4j](https://github.com/langchain4j/langchain4j) - 强大的 Java LLM 开发框架
 - [RuoYi-Vue-Plus](https://gitee.com/dromara/RuoYi-Vue-Plus) - 成熟的企业级快速开发框架
 - [Vben Admin](https://github.com/vbenjs/vue-vben-admin) - 现代化的 Vue 后台管理模板
 
-## 🌐 生态伙伴
 
-- [PPIO 派欧云](https://ppinfra.com/user/register?invited_by=P8QTUY&utm_source=github_ruoyi-ai) - 提供高性价比的 GPU
+## 💎 赞助商
-  算力和模型 API 服务
+感谢以下赞助商对本项目的支持：
-- [优云智算](https://www.compshare.cn/?ytag=GPU_YY-gh_ruoyi) - 万卡RTX40系GPU+海内外主流模型API服务，秒级响应，按量计费，新客免费用。
+
+<a href="https://www.atlascloud.ai/">
+  <img src="https://ruoyiai-1254149996.cos.ap-guangzhou.myqcloud.com/2026/04/19/atlascloud.png" alt="Atlas Cloud" width="60" height="30">
+</a>
+
+- **[Atlas Cloud](https://www.atlascloud.ai/)** - 全模态AI推理平台，为开发者提供统一的AI API，支持视频生成、图像生成和大语言模型。一次接入，即可访问300+精选模型。
+
+- **[编程计划优惠](https://www.atlascloud.ai/console/coding-plan)** -  Atlas Cloud 针对更经济型 API 推出的全新编码计划促销活动
 
 ## 💬 社区交流
 

README_EN.md

@@ -220,9 +220,15 @@ Thanks to the following excellent open-source projects for their support:
 
 ## 🌐 Ecosystem Partners
 
-- [PPIO Cloud](https://ppinfra.com/user/register?invited_by=P8QTUY&utm_source=github_ruoyi-ai) - Provides cost-effective GPU computing and model API services
+**[Atlas Cloud](https://www.atlascloud.ai/)** - A full-modal AI inference platform that gives developers a single AI API to access video generation, image generation, and LLM APIs. Instead of managing multiple vendor integrations, you connect once and get unified access to 300+ curated models across all modalities. 👉 [Coding Plan Promotion](https://www.atlascloud.ai/console/coding-plan)
-- [Youyun Intelligent Computing](https://www.compshare.cn/?ytag=GPU_YY-gh_ruoyi) - Thousands of RTX40 series GPUs + mainstream models API services, second-level response, pay-per-use, free for new customers.
 
+## 💎 Sponsors
+
+Thanks to the following sponsors for supporting this project:
+
+**[Atlas Cloud](https://www.atlascloud.ai/)** - A full-modal AI inference platform that gives developers a single AI API to access video generation, image generation, and LLM APIs. Connect once and get unified access to 300+ curated models across all modalities.
+
+> *If you would like to become a sponsor, please contact us via WeChat or Telegram.*
 
 ## 💬 Community Chat
 

docs/script/sql/ruoyi-ai-v3_mysql8.sql

@@ -1,7 +1,7 @@
 /*
- Navicat MySQL Dump SQL
+ Navicat Premium Dump SQL
 
- Source Server         : 本地
+ Source Server         : localhost_3306
  Source Server Type    : MySQL
  Source Server Version : 80045 (8.0.45)
  Source Host           : localhost:3306
@@ -11,13 +11,11 @@
  Target Server Version : 80045 (8.0.45)
  File Encoding         : 65001
 
- Date: 15/03/2026 23:56:19
+ Date: 21/05/2026 11:03:49
 */
 
 SET NAMES utf8mb4;
 SET FOREIGN_KEY_CHECKS = 0;
--- 忽略所有错误，继续执行
-SET sql_mode = '';
 
 -- ----------------------------
 -- Table structure for chat_message
@@ -72,9 +70,9 @@ CREATE TABLE `chat_model`  (
 -- ----------------------------
 -- Records of chat_model
 -- ----------------------------
-INSERT INTO `chat_model` VALUES (2000585866022060033, 'chat', 'zai-org/glm-5', 'ppio', 'zai-org/glm-5', NULL, 'Y', 'https://api.ppio.com/openai', 'sk_xx', 103, 1, '2025-12-15 23:16:54', 1, '2026-03-15 19:18:48', 'DeepSeek-V3.2 是一款在高效推理、复杂推理能力与智能体场景中表现突出的领先模型。其基于 DeepSeek Sparse Attention（DSA）稀疏注意力机制，在显著降低计算开销的同时优化长上下文性能；通过可扩展强化学习框架，整体能力达到 GPT-5 同级，高算力版本 V3.2-Speciale 更在推理表现上接近 Gemini-3.0-Pro；同时，模型依托大型智能体任务合成管线，具备更强的工具调用与多步骤决策能力，并在 2025 年 IMO 与 IOI 中取得金牌级表现。作为 MaaS 平台，我们已对 DeepSeek-V3.2 完成深度适配，通过动态调度、批处理加速、低延迟推理与企业级 SLA 保障，进一步增强其在企业生产环境中的稳定性、性价比与可控性，适用于搜索、问答、智能体、代码、数据处理等多类高价值场景。', 0);
+INSERT INTO `chat_model` (`id`, `category`, `model_name`, `provider_code`, `model_describe`, `model_dimension`, `model_show`, `api_host`, `api_key`, `create_dept`, `create_by`, `create_time`, `update_by`, `update_time`, `remark`, `tenant_id`) VALUES (2000585866022060033, 'chat', 'zai-org/glm-5.1', 'atlas', 'zai-org/glm-5.1', NULL, 'Y', 'https://api.atlascloud.ai/v1', 'sk_xx', 103, 1, '2025-12-15 23:16:54', 1, '2026-03-15 19:18:48', '对话模型', 0);
-INSERT INTO `chat_model` VALUES (2007528268536287233, 'vector', 'baai/bge-m3', 'ppio', 'bge-m3', 1024, 'N', 'https://api.ppio.com/openai', 'sk_xx', 103, 1, '2026-01-04 03:03:32', 1, '2026-03-15 19:18:51', 'BGE-M3 是一款具备多维度能力的文本嵌入模型，可同时实现密集检索、多向量检索和稀疏检索三大核心功能。该模型设计上兼容超过100种语言，并支持从短句到长达8192词元的长文本等多种输入形式。在跨语言检索任务中，BGE-M3展现出显著优势，其性能在MIRACL、MKQA等国际基准测试中位居前列。此外，针对长文档检索场景，该模型在MLDR、NarritiveQA等数据集上的表现同样达到行业领先水平。', 0);
+INSERT INTO `chat_model` (`id`, `category`, `model_name`, `provider_code`, `model_describe`, `model_dimension`, `model_show`, `api_host`, `api_key`, `create_dept`, `create_by`, `create_time`, `update_by`, `update_time`, `remark`, `tenant_id`) VALUES (2007528268536287233, 'vector', 'embedding-3', 'zhipu', 'embedding-3', 2048, 'N', 'https://open.bigmodel.cn', 'sk_xx', 103, 1, '2026-01-04 03:03:32', 1, '2026-03-15 19:18:51', '向量模型', 0);
-INSERT INTO `chat_model` VALUES (2045735140488847361, 'chat', 'deepseek-chat', 'custom_api', 'deepseek-chat', NULL, NULL, 'https://api.deepseek.com', 'sk_xx', 103, 1, '2026-04-19 13:24:00', 1, '2026-04-19 13:24:00', 'deepseek对话模型', 0);
+INSERT INTO `chat_model` (`id`, `category`, `model_name`, `provider_code`, `model_describe`, `model_dimension`, `model_show`, `api_host`, `api_key`, `create_dept`, `create_by`, `create_time`, `update_by`, `update_time`, `remark`, `tenant_id`) VALUES (2045071617578237953, 'rerank', 'rerank', 'zhipu', 'rerank', NULL, 'N', 'https://open.bigmodel.cn', 'sk_xx', 103, 1, '2026-04-17 17:27:24', 1, '2026-04-20 15:21:48', '重排序模型', 0);
 
 -- ----------------------------
 -- Table structure for chat_provider
@@ -107,12 +105,11 @@ CREATE TABLE `chat_provider`  (
 -- ----------------------------
 -- Records of chat_provider
 -- ----------------------------
-INSERT INTO `chat_provider` VALUES (1, 'OpenAI', 'openai', 'https://ruoyiai-1254149996.cos.ap-guangzhou.myqcloud.com/2026/02/25/01091be272334383a1efd9bc22b73ee6.png', 'OpenAI官方API服务商', 'https://api.openai.com', '0', 1, 103, '2025-12-14 21:48:11', '1', '1', '2026-02-25 20:46:59', 'OpenAI厂商', NULL, '0', NULL, 0);
 INSERT INTO `chat_provider` VALUES (11, '深度求索', 'deepseek', 'https://ruoyiai-1254149996.cos.ap-guangzhou.myqcloud.com/2026/04/19/5ba8c30f153246898a4d7dc7b846de8d.png', 'DeepSeek官方API', 'https://api.deepseek.com', '0', 0, 103, '2026-04-19 12:52:34', '1', '1', '2026-04-19 13:13:25', 'DeepSeek官方API', NULL, '0', NULL, 0);
 INSERT INTO `chat_provider` VALUES (12, '智谱AI', 'zhipu', 'https://ruoyiai-1254149996.cos.ap-guangzhou.myqcloud.com/2026/04/19/da071783c9284fdd9ed1ce1b57b3c75c.png', '智谱AI大模型服务', 'https://open.bigmodel.cn', '0', 4, 103, '2025-12-14 21:48:11', '1', '1', '2026-04-19 13:14:00', '智谱AI厂商', NULL, '0', NULL, 0);
-INSERT INTO `chat_provider` VALUES (13, '小米MIMO', 'xiaomi', 'https://ruoyiai-1254149996.cos.ap-guangzhou.myqcloud.com/2026/04/19/18dd39365ce244e3ae5e030da036760e.png', '小米官方API', 'https://api.xiaomimimo.com/anthropic/v1/messages', '0', 3, 103, '2026-04-19 12:48:24', '1', '1', '2026-04-19 13:14:22', '小米官方API', NULL, '0', NULL, 0);
+INSERT INTO `chat_provider` VALUES (13, '小米MIMO', 'xiaomi', 'https://ruoyiai-1254149996.cos.ap-guangzhou.myqcloud.com/2026/04/19/18dd39365ce244e3ae5e030da036760e.png', '小米官方API', 'https://api.xiaomimimo.com/v1', '0', 3, 103, '2026-04-19 12:48:24', '1', '1', '2026-04-19 13:14:22', '小米官方API', NULL, '0', NULL, 0);
 INSERT INTO `chat_provider` VALUES (14, '阿里云百炼', 'qianwen', 'https://ruoyiai-1254149996.cos.ap-guangzhou.myqcloud.com/2026/02/25/de2aa7e649de44f3ba5c6380ac6acd04.png', '阿里云百炼大模型服务', 'https://dashscope.aliyuncs.com', '0', 2, 103, '2025-12-14 21:48:11', '1', '1', '2026-02-25 20:49:13', '阿里云厂商', NULL, '0', NULL, 0);
-INSERT INTO `chat_provider` VALUES (15, 'PPIO', 'ppio', 'https://ruoyiai-1254149996.cos.ap-guangzhou.myqcloud.com/2026/02/25/049bb6a507174f73bba4b8d8b9e55b8a.png', 'api聚合厂商', 'https://api.ppinfra.com/openai', '0', 5, 103, '2025-12-15 23:13:42', '1', '1', '2026-02-25 20:49:01', 'api聚合厂商', NULL, '0', NULL, 0);
+INSERT INTO `chat_provider` VALUES (15, 'Atlas Cloud', 'atlas', 'https://ruoyiai-1254149996.cos.ap-guangzhou.myqcloud.com/2026/04/19/atlascloud.png', '全模态AI推理平台', 'https://api.atlascloud.ai/v1', '0', 5, 103, '2025-12-15 23:13:42', '1', '1', '2026-02-25 20:49:01', 'Atlas Cloud AI平台', NULL, '0', NULL, 0);
 INSERT INTO `chat_provider` VALUES (16, 'MiniMax', 'minimax', 'https://ruoyiai-1254149996.cos.ap-guangzhou.myqcloud.com/2026/04/19/fdc712e90e0e4d78b05862ad230884e5.png', 'MiniMax大模型服务，支持M2.7、M2.5等模型', 'https://api.minimax.io/v1', '0', 6, 103, '2026-04-19 12:50:12', '1', '1', '2026-04-19 13:14:59', 'MiniMax厂商', NULL, '0', NULL, 0);
 INSERT INTO `chat_provider` VALUES (17, 'ollama', 'ollama', 'https://ruoyiai-1254149996.cos.ap-guangzhou.myqcloud.com/2026/02/25/afecabebc8014d80b0f06b4796a74c5d.png', 'ollama大模型', 'http://127.0.0.1:11434', '0', 7, 103, '2025-12-14 21:48:11', '1', '1', '2026-02-25 20:48:48', 'ollama厂商', NULL, '0', NULL, 0);
 INSERT INTO `chat_provider` VALUES (18, '自定义厂商', 'custom_api', 'https://ruoyiai-1254149996.cos.ap-guangzhou.myqcloud.com/2026/04/19/c1a8e122510f4e2f90deb36958af710b.png', 'OPENAI兼容格式', '自定义', '0', 8, 103, '2026-04-19 12:35:57', '1', '1', '2026-04-19 13:17:20', 'OPENAI兼容格式', NULL, '0', NULL, 0);
@@ -1091,6 +1088,7 @@ CREATE TABLE `knowledge_attach`  (
                                      `update_time` datetime NULL DEFAULT NULL COMMENT '更新时间',
                                      `remark` varchar(500) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '备注',
                                      `tenant_id` bigint NOT NULL DEFAULT 0 COMMENT '租户Id',
+                                     `status` tinyint NULL DEFAULT 0 COMMENT '解析状态: 0待解析, 1解析中, 2已解析, 3解析失败',
                                      PRIMARY KEY (`id`) USING BTREE,
                                      UNIQUE INDEX `idx_kname`(`knowledge_id` ASC, `name` ASC) USING BTREE
 ) ENGINE = InnoDB AUTO_INCREMENT = 2033199209203183619 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci COMMENT = '知识库附件' ROW_FORMAT = DYNAMIC;
@@ -1115,7 +1113,9 @@ CREATE TABLE `knowledge_fragment`  (
                                        `update_time` datetime NULL DEFAULT NULL COMMENT '更新时间',
                                        `remark` varchar(500) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '备注',
                                        `tenant_id` bigint NOT NULL DEFAULT 0 COMMENT '租户Id',
-                                       PRIMARY KEY (`id`) USING BTREE
+                                       `knowledge_id` bigint NULL DEFAULT NULL COMMENT '知识库ID',
+                                       PRIMARY KEY (`id`) USING BTREE,
+                                       FULLTEXT INDEX `ft_content`(`content`) WITH PARSER `ngram`
 ) ENGINE = InnoDB AUTO_INCREMENT = 2033199209131880451 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci COMMENT = '知识片段' ROW_FORMAT = DYNAMIC;
 
 -- ----------------------------
@@ -1135,6 +1135,7 @@ CREATE TABLE `knowledge_info`  (
                                    `separator` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '知识分隔符',
                                    `overlap_char` int NULL DEFAULT NULL COMMENT '重叠字符数',
                                    `retrieve_limit` int NULL DEFAULT NULL COMMENT '知识库中检索的条数',
+                                   `similarity_threshold` double NULL DEFAULT 0.5 COMMENT '相似度阈值',
                                    `text_block_size` int NULL DEFAULT NULL COMMENT '文本块大小',
                                    `vector_model` varchar(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '向量库',
                                    `embedding_model` varchar(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '向量模型',
@@ -1145,6 +1146,13 @@ CREATE TABLE `knowledge_info`  (
                                    `update_time` datetime NULL DEFAULT NULL COMMENT '更新时间',
                                    `remark` varchar(500) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '备注',
                                    `tenant_id` bigint NOT NULL DEFAULT 0 COMMENT '租户Id',
+                                   `enable_rerank` tinyint NULL DEFAULT 0 COMMENT '是否启用重排序（0否 1是）',
+                                   `rerank_score_threshold` double NULL DEFAULT NULL COMMENT '重排序相关性分数阈值',
+                                   `rerank_top_n` int NULL DEFAULT NULL COMMENT '重排序后返回的文档数量',
+                                   `rerank_model` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '重排序模型名称',
+                                   `enable_hybrid` tinyint(1) NULL DEFAULT 0 COMMENT '是否启用混合检索',
+                                   `hybrid_alpha` double NULL DEFAULT 0.5 COMMENT '混合检索权重比例 (0.0=纯向量, 1.0=纯关键词)',
+                                   `system_prompt` text CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL COMMENT '系统提示词',
                                    PRIMARY KEY (`id`) USING BTREE
 ) ENGINE = InnoDB AUTO_INCREMENT = 2033198818050781187 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci COMMENT = '知识库' ROW_FORMAT = DYNAMIC;
 
@@ -1174,7 +1182,7 @@ CREATE TABLE `mcp_market_info`  (
                                     INDEX `idx_name`(`name` ASC) USING BTREE,
                                     INDEX `idx_status`(`status` ASC) USING BTREE,
                                     INDEX `idx_tenant_id`(`tenant_id` ASC) USING BTREE
-) ENGINE = InnoDB AUTO_INCREMENT = 1 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_unicode_ci COMMENT = 'MCP市场表' ROW_FORMAT = Dynamic;
+) ENGINE = InnoDB AUTO_INCREMENT = 1 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_unicode_ci COMMENT = 'MCP市场表' ROW_FORMAT = DYNAMIC;
 
 -- ----------------------------
 -- Records of mcp_market_info
@@ -1198,7 +1206,7 @@ CREATE TABLE `mcp_market_tool`  (
                                     INDEX `idx_market_id`(`market_id` ASC) USING BTREE,
                                     INDEX `idx_tool_name`(`tool_name` ASC) USING BTREE,
                                     INDEX `idx_is_loaded`(`is_loaded` ASC) USING BTREE
-) ENGINE = InnoDB AUTO_INCREMENT = 1 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_unicode_ci COMMENT = 'MCP市场工具关联表' ROW_FORMAT = Dynamic;
+) ENGINE = InnoDB AUTO_INCREMENT = 1 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_unicode_ci COMMENT = 'MCP市场工具关联表' ROW_FORMAT = DYNAMIC;
 
 -- ----------------------------
 -- Records of mcp_market_tool
@@ -1227,7 +1235,7 @@ CREATE TABLE `mcp_tool_info`  (
                                   INDEX `idx_type`(`type` ASC) USING BTREE,
                                   INDEX `idx_status`(`status` ASC) USING BTREE,
                                   INDEX `idx_tenant_id`(`tenant_id` ASC) USING BTREE
-) ENGINE = InnoDB AUTO_INCREMENT = 7 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_unicode_ci COMMENT = 'MCP工具表' ROW_FORMAT = Dynamic;
+) ENGINE = InnoDB AUTO_INCREMENT = 7 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_unicode_ci COMMENT = 'MCP工具表' ROW_FORMAT = DYNAMIC;
 
 -- ----------------------------
 -- Records of mcp_tool_info
@@ -2085,6 +2093,7 @@ INSERT INTO `sys_dict_data` VALUES (2026642525081116674, '000000', 1, '图像',
 INSERT INTO `sys_dict_data` VALUES (2026643983713247233, '000000', 1, '次数计费', '1', 'sys_model_billing', NULL, 'green', 'N', 103, 1, '2026-02-25 21:02:34', 1, '2026-02-25 21:02:56', NULL);
 INSERT INTO `sys_dict_data` VALUES (2026644058522853378, '000000', 2, 'token计费', '2', 'sys_model_billing', NULL, 'primary', 'N', 103, 1, '2026-02-25 21:02:51', 1, '2026-02-25 21:02:51', NULL);
 INSERT INTO `sys_dict_data` VALUES (2027261114955931650, '000000', 2, '向量', 'vector', 'chat_model_category', NULL, 'default', 'N', 103, 1, '2026-02-27 13:54:49', 1, '2026-02-27 13:54:54', NULL);
+INSERT INTO `sys_dict_data` VALUES (2045070879435259905, '000000', 4, '重排序', 'rerank', 'chat_model_category', NULL, '#000000', 'N', 103, 1, '2026-04-17 17:24:28', 1, '2026-04-19 01:02:20', '重排序模型');
 
 -- ----------------------------
 -- Table structure for sys_dict_type
@@ -2156,243 +2165,6 @@ CREATE TABLE `sys_logininfor`  (
 -- ----------------------------
 -- Records of sys_logininfor
 -- ----------------------------
-INSERT INTO `sys_logininfor` VALUES (2018437160497668098, '000000', 'admin', 'web', 'pc', '127.0.0.1', '内网IP', 'MSEdge', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-02-03 05:31:34');
-INSERT INTO `sys_logininfor` VALUES (2018489328494317570, '000000', 'admin', 'web', 'pc', '58.56.198.114', '中国|山东省|泰安市|电信', 'Chrome', 'Windows 10 or Windows Server 2016', '0', 'Login successful', '2026-02-03 08:58:52');
-INSERT INTO `sys_logininfor` VALUES (2018490223370047490, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'Chrome', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-02-03 09:02:26');
-INSERT INTO `sys_logininfor` VALUES (2018494821124149250, '000000', 'admin', 'web', 'pc', '180.165.21.147', '中国|上海|上海市|电信', 'MSEdge', 'Windows 10 or Windows Server 2016', '0', 'Login successful', '2026-02-03 09:20:42');
-INSERT INTO `sys_logininfor` VALUES (2018495323429801985, '000000', 'admin', 'web', 'pc', '218.1.209.117', '中国|上海|上海市|电信', 'Chrome', 'Windows 10 or Windows Server 2016', '0', 'Login successful', '2026-02-03 09:22:42');
-INSERT INTO `sys_logininfor` VALUES (2018496463106084866, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'Chrome', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-02-03 09:27:13');
-INSERT INTO `sys_logininfor` VALUES (2018506873276338177, '000000', 'admin', 'web', 'pc', '14.155.110.230', '中国|广东省|深圳市|电信', 'Chrome', 'OSX', '0', 'Login successful', '2026-02-03 10:08:35');
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-INSERT INTO `sys_logininfor` VALUES (2018966187199827970, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'MSEdge', 'Windows 10 or Windows Server 2016', '0', '退出成功', '2026-02-04 16:33:44');
-INSERT INTO `sys_logininfor` VALUES (2018966195156422657, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'MSEdge', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-02-04 16:33:46');
-INSERT INTO `sys_logininfor` VALUES (2018967272132055041, '000000', 'admin', 'web', 'pc', '121.8.154.218', '中国|广东省|广州市|电信', 'Chrome', 'Windows 10 or Windows Server 2016', '0', 'Login successful', '2026-02-04 16:38:03');
-INSERT INTO `sys_logininfor` VALUES (2018967970655637505, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'Chrome', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-02-04 16:40:49');
-INSERT INTO `sys_logininfor` VALUES (2018968030697099265, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'Chrome', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-02-04 16:41:04');
-INSERT INTO `sys_logininfor` VALUES (2018970160656945154, '000000', 'admin', 'web', 'pc', '183.209.146.73', '中国|江苏省|南京市|移动', 'Chrome', 'Windows 10 or Windows Server 2016', '0', 'Login successful', '2026-02-04 16:49:32');
-INSERT INTO `sys_logininfor` VALUES (2018970873374052354, '000000', 'admin', 'web', 'pc', '60.1.71.196', '中国|河北省|石家庄市|联通', 'Chrome', 'Windows 10 or Windows Server 2016', '0', 'Login successful', '2026-02-04 16:52:22');
-INSERT INTO `sys_logininfor` VALUES (2018970947504181249, '000000', 'admin', 'web', 'pc', '223.88.78.216', '中国|河南省|郑州市|移动', 'Chrome', 'Windows 10 or Windows Server 2016', '0', 'Login successful', '2026-02-04 16:52:39');
-INSERT INTO `sys_logininfor` VALUES (2018971098872418305, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'Chrome', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-02-04 16:53:15');
-INSERT INTO `sys_logininfor` VALUES (2018978580902580226, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'Chrome', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-02-04 17:22:59');
-INSERT INTO `sys_logininfor` VALUES (2018978998839808002, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'Chrome', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-02-04 17:24:39');
-INSERT INTO `sys_logininfor` VALUES (2018984098123616257, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'MSEdge', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-02-04 17:44:55');
-INSERT INTO `sys_logininfor` VALUES (2018988627267293186, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'Chrome', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-02-04 18:02:54');
-INSERT INTO `sys_logininfor` VALUES (2018990733382520834, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'Chrome', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-02-04 18:11:17');
-INSERT INTO `sys_logininfor` VALUES (2019029939576246274, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'MSEdge', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-02-04 20:47:04');
-INSERT INTO `sys_logininfor` VALUES (2019040366678904834, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'Chrome', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-02-04 21:28:30');
-INSERT INTO `sys_logininfor` VALUES (2019057692774109186, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'Chrome', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-02-04 22:37:21');
-INSERT INTO `sys_logininfor` VALUES (2019057715637260289, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'Chrome', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-02-04 22:37:26');
-INSERT INTO `sys_logininfor` VALUES (2019113073072279553, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'MSEdge', 'OSX', '0', '登录成功', '2026-02-05 02:17:25');
-INSERT INTO `sys_logininfor` VALUES (2019203832710565889, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'MSEdge', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-02-05 08:18:03');
-INSERT INTO `sys_logininfor` VALUES (2019210865128116226, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'Chrome', 'OSX', '0', '登录成功', '2026-02-05 08:46:00');
-INSERT INTO `sys_logininfor` VALUES (2019213517912150018, '154726', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'MSEdge', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-02-05 08:56:33');
-INSERT INTO `sys_logininfor` VALUES (2019217038615121921, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'MSEdge', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-02-05 09:10:32');
-INSERT INTO `sys_logininfor` VALUES (2019219134710157314, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'MSEdge', 'Linux', '0', '登录成功', '2026-02-05 09:18:52');
-INSERT INTO `sys_logininfor` VALUES (2019222079201157121, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'MSEdge', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-02-05 09:30:34');
-INSERT INTO `sys_logininfor` VALUES (2019223047400198146, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'Chrome', 'OSX', '0', '登录成功', '2026-02-05 09:34:25');
-INSERT INTO `sys_logininfor` VALUES (2019224288503140354, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'Chrome', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-02-05 09:39:20');
-INSERT INTO `sys_logininfor` VALUES (2019224998575153153, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'MSEdge', 'Windows 10 or Windows Server 2016', '0', '退出成功', '2026-02-05 09:42:10');
-INSERT INTO `sys_logininfor` VALUES (2019225059417726977, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'MSEdge', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-02-05 09:42:24');
-INSERT INTO `sys_logininfor` VALUES (2019240817392693249, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'MSEdge', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-02-05 10:45:01');
-INSERT INTO `sys_logininfor` VALUES (2019447979716972545, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'MSEdge', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-02-06 00:28:13');
-INSERT INTO `sys_logininfor` VALUES (2026536636865163265, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'MSEdge', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-02-25 13:56:00');
-INSERT INTO `sys_logininfor` VALUES (2026556949535502337, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'MSEdge', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-02-25 15:16:43');
-INSERT INTO `sys_logininfor` VALUES (2026578433112911874, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'MSEdge', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-02-25 16:42:05');
-INSERT INTO `sys_logininfor` VALUES (2026638437400518657, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'MSEdge', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-02-25 20:40:31');
-INSERT INTO `sys_logininfor` VALUES (2026647463072952321, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'MSEdge', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-02-25 21:16:23');
-INSERT INTO `sys_logininfor` VALUES (2026653919016968194, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'MSEdge', 'Windows 10 or Windows Server 2016', '0', '退出成功', '2026-02-25 21:42:02');
-INSERT INTO `sys_logininfor` VALUES (2026654082020204546, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'MSEdge', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-02-25 21:42:41');
-INSERT INTO `sys_logininfor` VALUES (2026654455514587138, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'MSEdge', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-02-25 21:44:10');
-INSERT INTO `sys_logininfor` VALUES (2027260957187186689, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'MSEdge', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-02-27 13:54:12');
-INSERT INTO `sys_logininfor` VALUES (2030617171346399233, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'MSEdge', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-03-08 20:10:35');
-INSERT INTO `sys_logininfor` VALUES (2033083137191841794, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'MSEdge', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-03-15 15:29:27');
-INSERT INTO `sys_logininfor` VALUES (2033102367094214657, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'MSEdge', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-03-15 16:45:52');
-INSERT INTO `sys_logininfor` VALUES (2033116897354551298, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'MSEdge', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-03-15 17:43:36');
-INSERT INTO `sys_logininfor` VALUES (2033133175565836289, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'MSEdge', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-03-15 18:48:17');
-INSERT INTO `sys_logininfor` VALUES (2033167392953675778, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'MSEdge', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-03-15 21:04:16');
-INSERT INTO `sys_logininfor` VALUES (2033168637663719425, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'MSEdge', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-03-15 21:09:12');
-INSERT INTO `sys_logininfor` VALUES (2033170263812157441, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'MSEdge', 'Windows 10 or Windows Server 2016', '0', '退出成功', '2026-03-15 21:15:40');
-INSERT INTO `sys_logininfor` VALUES (2033170654197002242, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'MSEdge', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-03-15 21:17:13');
-INSERT INTO `sys_logininfor` VALUES (2033170805703651330, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'MSEdge', 'Windows 10 or Windows Server 2016', '0', '退出成功', '2026-03-15 21:17:49');
-INSERT INTO `sys_logininfor` VALUES (2033170821767835650, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'MSEdge', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-03-15 21:17:53');
-INSERT INTO `sys_logininfor` VALUES (2033170964009267201, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'MSEdge', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-03-15 21:18:27');
-INSERT INTO `sys_logininfor` VALUES (2033197762549985282, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'MSEdge', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-03-15 23:04:56');
-INSERT INTO `sys_logininfor` VALUES (2033200372921217025, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'MSEdge', 'Windows 10 or Windows Server 2016', '1', '密码输入错误1次', '2026-03-15 23:15:19');
-INSERT INTO `sys_logininfor` VALUES (2033200386498179073, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'MSEdge', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-03-15 23:15:22');
-INSERT INTO `sys_logininfor` VALUES (2033210457315696642, '000000', 'admin', 'pc', 'pc', '127.0.0.1', '内网IP', 'MSEdge', 'Windows 10 or Windows Server 2016', '0', '登录成功', '2026-03-15 23:55:23');
 
 -- ----------------------------
 -- Table structure for sys_menu
@@ -3176,7 +2948,7 @@ CREATE TABLE `sys_user`  (
 -- ----------------------------
 -- Records of sys_user
 -- ----------------------------
-INSERT INTO `sys_user` VALUES (1, '000000', 103, 'admin', 'admin', 'sys_user', 'ageerle@163.com', '15888888888', '1', NULL, '$2a$10$7JB720yubVSZvUI0rEqK/.VqGOZTH.ulu33dHOiBE8ByOhJIrdAu2', '0', '0', '127.0.0.1', '2026-03-15 23:55:23', 103, 1, '2026-02-05 09:22:12', -1, '2026-03-15 23:55:23', '管理员', NULL, 0.00);
+INSERT INTO `sys_user` VALUES (1, '000000', 103, 'admin', 'admin', 'sys_user', 'ageerle@163.com', '15888888888', '1', NULL, '$2a$10$7JB720yubVSZvUI0rEqK/.VqGOZTH.ulu33dHOiBE8ByOhJIrdAu2', '0', '0', '127.0.0.1', '2026-05-19 23:16:57', 103, 1, '2026-02-05 09:22:12', -1, '2026-05-19 23:16:57', '管理员', NULL, 0.00);
 INSERT INTO `sys_user` VALUES (3, '000000', 108, 'test', '本部门及以下 密码666666', 'sys_user', '', '', '0', NULL, '$2a$10$b8yUzN0C71sbz.PhNOCgJe.Tu1yWC3RNrTyjSQ8p1W0.aaUXUJ.Ne', '0', '0', '127.0.0.1', '2026-02-05 09:22:12', 103, 1, '2026-02-05 09:22:12', 3, '2026-02-05 09:22:12', NULL, NULL, 0.00);
 INSERT INTO `sys_user` VALUES (4, '000000', 102, 'test1', '仅本人 密码666666', 'sys_user', '', '', '0', NULL, '$2a$10$b8yUzN0C71sbz.PhNOCgJe.Tu1yWC3RNrTyjSQ8p1W0.aaUXUJ.Ne', '0', '0', '127.0.0.1', '2026-02-05 09:22:12', 103, 1, '2026-02-05 09:22:12', 4, '2026-02-05 09:22:12', NULL, NULL, 0.00);
 

ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/enums/ChatModeType.java

@@ -15,7 +15,7 @@ public enum ChatModeType {
     DEEP_SEEK("deepseek", "深度求索"),
     QIAN_WEN("qianwen", "通义千问"),
     OPEN_AI("openai", "openai"),
-    PPIO("ppio", "ppio"),
+    ATLAS("atlas", "Atlas Cloud"),
     CUSTOM_API("custom_api", "自定义API"),
     MINIMAX("minimax", "MiniMax"),
     XIAOMI("xiaomi", "小米MiMo");

ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/service/chat/AbstractChatService.java

@@ -27,7 +27,7 @@ public interface AbstractChatService {
 
     /**
      * 创建同步聊天模型（供 Agent/SupervisorAgent 使用）
-     * 默认实现使用 OpenAI 兼容协议，适用于 OpenAI、DeepSeek、PPIO 等兼容接口的 provider。
+     * 默认实现使用 OpenAI 兼容协议，适用于 OpenAI、DeepSeek、Atlas Cloud 等兼容接口的 provider。
      * ZhiPu、QianWen、Ollama 等需覆盖此方法使用各自 SDK。
      *
      * @param chatModelVo 模型配置

ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/service/chat/impl/provider/AtlaServiceImpl.java

@@ -15,7 +15,7 @@ import org.springframework.stereotype.Service;
 import java.util.List;
 
 /**
- * PPIO服务调用
+ * Atlas Cloud服务调用
  *
  * @author ageerle@163.com
  * @date 2025/12/13
@@ -23,7 +23,7 @@ import java.util.List;
 @Service
 @Slf4j
 @RequiredArgsConstructor
-public class PPIOServiceImpl implements AbstractChatService {
+public class AtlaServiceImpl implements AbstractChatService {
 
     @Override
     public StreamingChatModel buildStreamingChatModel(ChatModelVo chatModelVo, ChatRequest chatRequest) {
@@ -38,7 +38,7 @@ public class PPIOServiceImpl implements AbstractChatService {
 
     @Override
     public String getProviderName() {
-        return ChatModeType.PPIO.getCode();
+        return ChatModeType.ATLAS.getCode();
     }
 
 }

ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/service/embed/impl/PPIOEmbeddingProvider.java

@@ -1,14 +0,0 @@
-package org.ruoyi.service.embed.impl;
-
-
-import org.springframework.stereotype.Component;
-
-/**
- * @Author: Robust_H
- * @Date: 2025-09-30-下午3:59
- * @Description: 硅基流动（兼容 OpenAi）
- */
-@Component("ppio")
-public class PPIOEmbeddingProvider extends OpenAiEmbeddingProvider {
-
-}

ruoyi-modules/ruoyi-chat/src/test/java/org/ruoyi/agent/StreamingAgentIntegrationTest.java

@@ -1,313 +0,0 @@
-package org.ruoyi.agent;
-
-import dev.langchain4j.agentic.AgenticServices;
-import dev.langchain4j.agentic.supervisor.SupervisorAgent;
-import dev.langchain4j.agentic.supervisor.SupervisorResponseStrategy;
-import dev.langchain4j.model.chat.ChatModel;
-import dev.langchain4j.model.chat.StreamingChatModel;
-import dev.langchain4j.model.chat.listener.ChatModelErrorContext;
-import dev.langchain4j.model.chat.listener.ChatModelListener;
-import dev.langchain4j.model.chat.listener.ChatModelRequestContext;
-import dev.langchain4j.model.chat.listener.ChatModelResponseContext;
-import dev.langchain4j.model.chat.response.ChatResponse;
-import dev.langchain4j.model.openai.OpenAiChatModel;
-import dev.langchain4j.model.openai.OpenAiStreamingChatModel;
-import dev.langchain4j.service.SystemMessage;
-import dev.langchain4j.service.UserMessage;
-import dev.langchain4j.service.V;
-import org.junit.jupiter.api.BeforeEach;
-import org.junit.jupiter.api.Disabled;
-import org.junit.jupiter.api.DisplayName;
-import org.junit.jupiter.api.Test;
-import org.ruoyi.observability.OutputChannel;
-import org.ruoyi.observability.StreamingOutputWrapper;
-import org.ruoyi.observability.SupervisorStreamListener;
-
-import java.util.List;
-import java.util.UUID;
-import java.util.concurrent.CompletableFuture;
-import java.util.concurrent.CountDownLatch;
-import java.util.concurrent.TimeUnit;
-
-/**
- * 子 Agent 流式输出集成测试
- *
- * 测试内容：
- * 1. 观察单个 Agent 的流式输出
- * 2. 观察 Supervisor 调用子 Agent 的流式输出
- * 3. 验证 AgentListener 事件回调
- * 4. 验证 StreamingOutputWrapper 的 token 拦截
- *
- * 注意：运行测试前需要配置正确的 API Key
- * 可以通过环境变量或直接修改配置区域
- *
- * @author ageerle@163.com
- * @date 2025/04/10
- */
-@Disabled("需要配置 API Key 后手动启用")
-public class StreamingAgentIntegrationTest {
-
-    // ==================== 配置区域 ====================
-    private static final String BASE_URL = "https://api.ppio.com/openai";
-    private static final String API_KEY = System.getenv("PPIO_API_KEY") != null
-        ? System.getenv("PPIO_API_KEY")
-        : "xx"; // 默认 Key
-    private static final String MODEL_NAME = "deepseek/deepseek-v3.2";
-
-    private StreamingChatModel streamingModel;
-    private OpenAiChatModel syncModel;
-
-    // ==================== Agent 接口定义 ====================
-
-    public interface MathAgent {
-        @SystemMessage("你是一个数学计算助手，帮助用户解决数学问题。直接给出计算结果和简要解释。")
-        @UserMessage("计算：{{query}}")
-        @dev.langchain4j.agentic.Agent("数学计算助手")
-        String calculate(@V("query") String query);
-    }
-
-    public interface TextAgent {
-        @SystemMessage("你是一个文本分析助手，帮助用户分析文本内容。给出简洁的分析结果。")
-        @UserMessage("分析以下文本：{{text}}")
-        @dev.langchain4j.agentic.Agent("文本分析助手")
-        String analyze(@V("text") String text);
-    }
-
-    public interface WeatherAgent {
-        @SystemMessage("你是一个天气助手。根据用户提供的信息给出天气相关的回答。")
-        @UserMessage("回答问题：{{query}}")
-        @dev.langchain4j.agentic.Agent("天气助手")
-        String answer(@V("query") String query);
-    }
-
-    // ==================== 初始化 ====================
-
-    @BeforeEach
-    void setUp() {
-//        streamingModel = OpenAiStreamingChatModel.builder()
-//            .baseUrl(BASE_URL)
-//            .apiKey(API_KEY)
-//            .modelName(MODEL_NAME)
-//            .build();
-
-        streamingModel = OpenAiStreamingChatModel.builder()
-            .baseUrl(BASE_URL)
-            .apiKey(API_KEY)
-            .listeners(List.of(new ChatModelListener() {
-                @Override
-                public void onRequest(ChatModelRequestContext ctx) {
-                    // 请求发送前
-                }
-                @Override
-                public void onResponse(ChatModelResponseContext ctx) {
-                    // 响应完成后
-                }
-                @Override
-                public void onError(ChatModelErrorContext ctx) {
-                    // 错误时
-                }
-            }))
-            .build();
-
-
-        syncModel = OpenAiChatModel.builder()
-            .baseUrl(BASE_URL)
-            .apiKey(API_KEY)
-            .modelName(MODEL_NAME)
-            .build();
-    }
-
-    // ==================== 测试方法 ====================
-
-    @Test
-    @DisplayName("测试1: 基础流式输出 - 单个 Agent")
-    void testBasicStreamingAgent() throws Exception {
-        System.out.println("\n=== 测试1: 基础流式输出 - 单个 Agent ===\n");
-
-        // 创建事件总线
-        String requestId = UUID.randomUUID().toString();
-        OutputChannel channel = OutputChannel.create(requestId);
-        CountDownLatch completed = new CountDownLatch(1);
-
-        // 包装模型以捕获流式输出
-        ChatModel wrappedModel = new StreamingOutputWrapper(streamingModel, channel);
-
-        // 构建 Agent
-        MathAgent mathAgent = AgenticServices.agentBuilder(MathAgent.class)
-            .chatModel(wrappedModel)
-            .build();
-
-        // 异步执行
-        CompletableFuture.runAsync(() -> {
-            try {
-                System.out.println(">>> 调用 MathAgent.calculate()...");
-                String result = mathAgent.calculate("计算 123 * 456 + 789 的值");
-                System.out.println("\n>>> 最终结果: " + result);
-            } catch (Exception e) {
-                System.err.println(">>> 异常: " + e.getMessage());
-                channel.completeWithError(e);
-            } finally {
-                channel.complete();
-                completed.countDown();
-            }
-        });
-
-        // drain 推送
-        channel.drain(text -> {
-            System.out.print(text);
-            System.out.flush();
-        });
-
-        completed.await(30, TimeUnit.SECONDS);
-        OutputChannel.remove(requestId);
-    }
-
-    @Test
-    @DisplayName("测试2: Supervisor 模式 - 单个子 Agent 流式输出")
-    void testSupervisorWithSingleSubAgent() throws Exception {
-        System.out.println("\n=== 测试2: Supervisor 模式 - 单个子 Agent ===\n");
-
-        String requestId = UUID.randomUUID().toString();
-        OutputChannel channel = OutputChannel.create(requestId);
-        CountDownLatch completed = new CountDownLatch(1);
-
-        // 包装模型
-
-        // 子 Agent
-        MathAgent mathAgent = AgenticServices.agentBuilder(MathAgent.class)
-            .streamingChatModel(streamingModel)
-            .build();
-
-
-        // Supervisor（注册监听器）
-        SupervisorAgent supervisor = AgenticServices.supervisorBuilder()
-            .chatModel(syncModel)
-            //.listener(new SupervisorStreamListener(channel))
-            .subAgents(mathAgent)
-            .responseStrategy(SupervisorResponseStrategy.LAST)
-            .build();
-
-        // 异步执行
-        CompletableFuture.runAsync(() -> {
-            try {
-                System.out.println(">>> Supervisor.invoke() 开始...");
-                String result = supervisor.invoke("帮我计算 999 除以 3 等于多少");
-                System.out.println("\n>>> Supervisor 结果: " + result);
-            } catch (Exception e) {
-                System.err.println(">>> 异常: " + e.getMessage());
-                e.printStackTrace();
-               // channel.completeWithError(e);
-            } finally {
-              //  channel.complete();
-                completed.countDown();
-            }
-        });
-
-        // drain 推送
-        channel.drain(text -> {
-            System.out.print(text);
-            System.out.flush();
-        });
-
-        completed.await(60, TimeUnit.SECONDS);
-        OutputChannel.remove(requestId);
-    }
-
-    @Test
-    @DisplayName("测试3: Supervisor 模式 - 多个子 Agent 流式输出")
-    void testSupervisorWithMultipleSubAgents() throws Exception {
-        System.out.println("\n=== 测试3: Supervisor 模式 - 多个子 Agent ===\n");
-
-        String requestId = UUID.randomUUID().toString();
-        OutputChannel channel = OutputChannel.create(requestId);
-        CountDownLatch completed = new CountDownLatch(1);
-
-        // 包装模型
-        ChatModel wrappedModel = new StreamingOutputWrapper(streamingModel, channel);
-
-
-        // 子 Agent
-        MathAgent mathAgent = AgenticServices.agentBuilder(MathAgent.class)
-            .chatModel(wrappedModel)
-            .build();
-
-        TextAgent textAgent = AgenticServices.agentBuilder(TextAgent.class)
-            .chatModel(wrappedModel)
-            .build();
-
-        WeatherAgent weatherAgent = AgenticServices.agentBuilder(WeatherAgent.class)
-            .chatModel(wrappedModel)
-            .build();
-
-        // Supervisor
-        SupervisorAgent supervisor = AgenticServices.supervisorBuilder()
-            .chatModel(syncModel)
-            .listener(new SupervisorStreamListener(channel))
-            .subAgents(mathAgent, textAgent, weatherAgent)
-            .responseStrategy(SupervisorResponseStrategy.LAST)
-            .build();
-
-        // 异步执行 - 提一个会触发多个 Agent 的问题
-        CompletableFuture.runAsync(() -> {
-            try {
-                System.out.println(">>> Supervisor.invoke() 开始...");
-                String result = supervisor.invoke(
-                    "请帮我做两件事：1. 计算 50 * 20 的结果；2. 分析 '人工智能正在改变世界' 这句话的含义"
-                );
-                System.out.println("\n>>> Supervisor 结果: " + result);
-            } catch (Exception e) {
-                System.err.println(">>> 异常: " + e.getMessage());
-                e.printStackTrace();
-                channel.completeWithError(e);
-            } finally {
-                channel.complete();
-                completed.countDown();
-            }
-        });
-
-        // drain 推送 - 实时观察流式输出
-        channel.drain(text -> {
-            System.out.print("观察流式输出："+text);
-            System.out.flush();
-        });
-
-        completed.await(90, TimeUnit.SECONDS);
-        OutputChannel.remove(requestId);
-    }
-
-    @Test
-    @DisplayName("测试4: 直接观察 StreamingChatModel 的流式响应")
-    void testDirectStreamingChatModel() throws Exception {
-        System.out.println("\n=== 测试4: 直接观察 StreamingChatModel ===\n");
-
-        StringBuilder buffer = new StringBuilder();
-        CountDownLatch completed = new CountDownLatch(1);
-
-        streamingModel.chat("你好，请自我介绍", new dev.langchain4j.model.chat.response.StreamingChatResponseHandler() {
-            @Override
-            public void onPartialResponse(String partialResponse) {
-                buffer.append(partialResponse);
-                System.out.print(partialResponse);
-                System.out.flush();
-            }
-
-            @Override
-            public void onCompleteResponse(ChatResponse completeResponse) {
-                System.out.println("\n\n[完成] 总Token数: " +
-                    (completeResponse.metadata() != null && completeResponse.metadata().tokenUsage() != null
-                        ? completeResponse.metadata().tokenUsage().totalTokenCount()
-                        : "无"));
-                completed.countDown();
-            }
-
-            @Override
-            public void onError(Throwable error) {
-                System.err.println("[错误] " + error.getMessage());
-                completed.countDown();
-            }
-        });
-
-        completed.await(30, TimeUnit.SECONDS);
-        System.out.println("完整响应内容: " + buffer.toString());
-    }
-}