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4 changes: 3 additions & 1 deletion docs/21-release-history/1.0.20.0.md
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1. 优化示例数据:移除非业务相关的默认 Path 属性,使示例配置更贴近实际业务场景。
1. 采用全局锁机制,保障版本控制中合并与回滚操作的原子性与数据一致性。
1. 新增资源全局锁机制,支持多用户协同操作,有效避免并发冲突。
1. ACP初始化容错机制:将app/init.py中的异常处理拆为两级。配置错误和导入错误导致启动失败(硬错误);MCP初始化异常仅触发降级警告并继续运行(软降级),避免单个MCP故障拖垮整个AI服务。
1. AI 服务 ACP 初始化容错机制 — 将 `app/__init__.py` 中的 try/except 拆为两级处理:配置错误和 ImportError 导致启动失败(硬错误),MCP 初始化异常仅触发降级警告并继续运行(软降级),避免单点 MCP 故障拖垮整个 AI 服务。
1. 数据模型导入任务支持异步流程通知,可实时获取导入进度与结果。
1. 密钥统一改名 API Key。

## 修复

1. 补全 LLM API 调用的 max_completion_tokens 参数,修复私有化部署大模型交互失败的问题。
1. AI 问答可视化面板路由改为 create_panel,面板时间范围 start_time/end_time 支持。
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sidebar_label: "1.0.20.0"
---

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**Release Date: 2026-06-14**

## Highlight

1. Action:A new Action template type is added. Users now can configure action rules in real-time analytics, and relevant actions will be triggered once the preset conditions are satisfied.
1. AI Upgrade: A brand-new AI backend is released. It supports uploading skills, configuring MCP and conversation styles, delivering a substantial improvement in the AI's business analysis capabilities.
1. Enterprise-Grade Security Management:MFA and Passkey are newly introduced to enable secondary identity verification for sensitive operations. Enterprise password management policies are added. The system supports online user and process management, and comes with a built-in offline product manual to accommodate enterprise intranet deployments.

## Features
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1. The dashboard editor now supports adding editable rich text components directly, making it easy to embed notes or dynamic content.
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1. Remove non-business default Path attributes from samples to better reflect real-world business scenarios.
1. Use global locks to ensure atomicity and data consistency for merge and rollback operations in version control.
1. Added global resource lock mechanism to support multi-user collaboration and prevent concurrent conflicts.
1. ACP init errors cause hard startup failure; MCP init exceptions only trigger soft degradation warnings, so a single MCP failure won't crash the entire AI service.
1. ACP init fault tolerance — split `app/__init__.py` try/except into two levels: config/ImportError cause startup failure (hard error), MCP init exceptions only trigger downgrade warning (soft degradation), preventing single MCP failure from crashing the entire AI service.
1. Data model import tasks now support asynchronous workflow notifications, allowing real-time tracking of import progress and results.
1. Rename API key UI text from key to API Key.

## Bug Fixes

1. Add max_completion_tokens parameter to LLM API calls, fixing interaction failures with privately deployed LLMs.
1. Route AI visualization requests to create_panel instead of execute_code/matplotlib, support start_time/end_time time window for panels.
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