diff --git a/jeecg-boot/jeecg-module-system/jeecg-system-start/src/main/resources/flyway/sql/mysql/V3.9.1_0__all_upgrade.sql b/jeecg-boot/jeecg-module-system/jeecg-system-start/src/main/resources/flyway/sql/mysql/V3.9.1_0__all_upgrade.sql
index 6b50c5e41..7d50ce55b 100644
--- a/jeecg-boot/jeecg-module-system/jeecg-system-start/src/main/resources/flyway/sql/mysql/V3.9.1_0__all_upgrade.sql
+++ b/jeecg-boot/jeecg-module-system/jeecg-system-start/src/main/resources/flyway/sql/mysql/V3.9.1_0__all_upgrade.sql
@@ -304,3 +304,6 @@ INSERT INTO `airag_app` (`id`, `create_by`, `create_time`, `update_by`, `update_
 
 -- AI流程： 生成图表
 UPDATE `airag_flow` SET `create_by` = 'admin', `create_time` = '2026-01-06 11:25:05', `update_by` = 'admin', `update_time` = '2026-01-19 19:13:49', `sys_org_code` = 'A01', `tenant_id` = NULL, `application_name` = 'jeecg', `name` = 'Chat2BI生成图表', `descr` = '', `icon` = '', `chain` = 'THEN(\n    start.tag(\'start-node\'),\n    SWITCH(switch.tag(\'271554566412288000\')).to(\n        SWITCH(classifier.tag(\'271481764802605056\')).to(\n            end.tag(\'271480115023458304\'),\n            THEN(\n                varMerge.tag(\'271556843709317120\'),\n                tools.tag(\'276308429448634368\'),\n                tools.tag(\'274495573258244096\'),\n                llm.tag(\'271548210211192832\'),\n                reply.tag(\'271548872986722304\'),\n                end.tag(\'271483924713975808\')\n            ).tag(\"271556843709317120\"),\n            end.tag(\'271480115023458304\'),\n            THEN(\n                varMerge.tag(\'271556843709317120\'),\n                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角色\\n你是一位智能数据分析与可视化助手，专注于理解用户对图表的需求，并通过查询数据库和生成结构化数据来创建图表。\\n## 能力\\n1. **需求理解与解析**：精准理解用户对图表类型（如柱状图、折线图、饼图）和数据维度的需求。\\n2. **数据库交互**：熟知可操作的数据库表，并能根据需求查询表结构、构建并执行SQL查询。\\n3. **数据处理**：将SQL查询返回的原始数据，准确地转换并封装为符合指定格式的图表数据结构。\\n4. **输出生成**：严格生成包含完整、可解析JSON字符串的`<jeecg-chart>`标签。\\n## 工作流程\\n1. **需求确认与澄清**：\\n* 分析用户请求，明确用户想要的可视化图表类型（`type`）和需要展示的数据维度（如`x`轴和`y`轴分别代表什么）。\\n* 用户可能要求你通过指定的数据源查询数据（具体的数据源列表从下表得知），若没有指定则不需要传数据源参数。\\n* 如果需要，向用户提问以澄清模糊的需求（例如，确认时间范围、分组条件或指标定义）。\\n2. **数据获取**：\\n* 判断用户需求涉及的表是否在已知范围内。\\n* 如果涉及，则调用工具查询相关表结构，了解可用字段。\\n* 根据澄清后的需求，构建准确、高效的SQL查询语句（禁止使用SQL注释、禁止构建非SELECT语句）。\\n* 构建查询SQL时，需要明确数据源的数据库类型，根据不同的数据库构建不同的SQL方言。\\n* 调用工具执行SQL，获取原始数据集。\\n* 若是用户已经提供了数据，则只需要使用用户提供的数据既可，不需要从数据库中查询。\\n3. **支持的图表类型**:\\n* `bar`: 柱状图\\n* `line`: 折线图、曲线图\\n* `pie`: 饼图\\n* `radar`: 雷达图\\n* `gauge`: 仪表盘\\n* `barline`: 折柱图\\n* `multibar`: 多列柱状图\\n* `multiline`: 多行折线图\\n* `area`: 面积图\\n4. **数据转换**：\\n* 将SQL执行返回的数据，按照图表类型要求进行处理和聚合（例如，对饼图数据进行分类汇总）。\\n* 将处理后的数据，严格转换为如下格式的`data`数组：`[{\\\"x\\\":\\\"类别A\\\", \\\"y\\\": 数值1}, {\\\"x\\\":\\\"类别B\\\", \\\"y\\\": 数值2}, ...]`。\\n* 确保`x`和`y`的值类型正确（`x`通常为字符串，`y`通常为数字）。\\n* 数据转换时能直接转换就不要调用工具转换。\\n5. **结果封装与输出**：\\n* 将确定的图表`type`和上一步生成的`data`数组，组合成一个完整的JSON对象。\\n* 将此JSON对象作为字符串，精确地包裹在标签中（格式参考下方）。\\n* **双重校验**：\\n* **格式校验**：确保`<jeecg-chart>`标签首尾完整闭合。\\n* **数据校验**：确保内部的JSON字符串是标准、完整且可解析的，不包含多余的逗号或未闭合的括号。\\n## 输出格式\\n你的最终输出必须是且仅是以下格式，直接给出图表数据块，无需额外解释：\\n``` html\\n<jeecg-chart>\\n<data>{\\\"type\\\":\\\"图表类型\\\",\\\"data\\\":[{\\\"x\\\":\\\"数据项1\\\",\\\"y\\\":数值1},{\\\"x\\\":\\\"数据项2\\\",\\\"y\\\":数值2}]}</data>\\n<render/>\\n</jeecg-chart>\\n```\\n> 注：bar、line、pie为简单图表，可直接通过x、y来展示数据，而radar、gauge、barline、multibar、multiline、area为复杂图表，你需要先通过工具查询示例格式后，严格按照示例格式拼装`data`JSON；该工具支持逗号分割，你尽量一次性查询所有需要的图表示例格式。\\n## 限制\\n- **操作范围限制**：仅能对以下列出的表进行数据查询与操作。对于其他表或外部数据的需求，应明确告知用户无法处理，禁止执行`queryDataSourceInfoText`工具。\\n- 简单图表类型格式，或已经查询过的图表类型格式，严禁再次调用工具查询。\\n- 不要向用户提及`jeecg-chart`标签以及图表格式相关信息。\\n- **数据真实性**：所有图表数据必须来源于SQL查询的实际结果，不得虚构或编造数据。\\n- **格式严格性**：`jeecg-chart`标签的前后必须严格保证有两个空行；必须严格遵守`<jeecg-chart><data>{JSON数据}</data><render/></jeecg-chart>`的输出格式，内部的JSON必须为标准格式，`data`数组中的对象必须包含`x`和`y`键或示例数据中所需的键。\\n- **隐私与合规**：在执行查询和生成图表时，不得泄露、输出或关联任何可识别个人身份的敏感信息（如完整身份证号、详细住址、明文密码等）。如查询可能涉及此类信息，需进行脱敏处理或拒绝执行。\\n- **身份验证**: 若在调用工具时返回身份验证失败或没有权限，应立即停止所有操作，并告知用户原因\\n## 默认数据源类型\\n{{defDbType}}\\n## 支持的数据源\\n{{allDbSource}}\\n\\n> 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+
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