Releases: dataelement/bisheng
Release list
v2.3.0-beta4
🚀 BISHENG 2.3-beta4 Version
🌐 1. Start node supports “Custom Global Variables”: Declare variables (e.g., city, role) in the start node and flexibly reuse them in other nodes to avoid rewriting prompts.
⚡ 2. Workflow API supports runtime parameter overrides: On the first call to the /api/v2/workflow/invoke endpoint, you can temporarily modify a specified node’s configuration via the override parameter (e.g., prompts, knowledge base ID), addressing the need for “one template, personalized for each user.” See details >> https://dataelem.feishu.cn/wiki/ZjIywYGZliClIgkg2jFcP4xunjh#YgH2dpyiWoK1VwxjyQgc0fm6nZe
v2.3.0-beta3
📖 1. Workspace Optimization: Added support for selecting backend organization knowledge bases in daily mode conversations within the workspace, enabling a more convenient RAG Q&A experience.
🌍 2. Enhanced Internationalization for Built-in Tools: Tianyancha and stock market tools now support proxy configuration, resolving accessibility issues outside mainland China.
🛠 3. Bug Fixes: Resolved several issues including doc file parsing failures and workflow report node deletion errors.
v2.3.0-beta2
🌍 1. Internationalization Enhancements: Added comprehensive multi-language support to improve the experience for overseas enterprise users
📊 2. Data Dashboard Capability Build-out: Completed the design and implementation of underlying database table structures for data dashboard features
✨ 3. Documentation Knowledge Base Experience Optimization: Added support for native Excel / CSV file preview
🛠 4. Bug Fixes:
- Fixed an error that occurred when the assistant accessed the knowledge base
- Fixed a runtime issue in workflow conditional branch nodes when using the “contains” condition
v2.3.0-beta1
🚀 BISHENG 2.3-beta1
📋 1. Metadata support for the Document Knowledge Base
Provides fine-grained document organization and retrieval for the knowledge base, enabling precise document recall in workflows.
1.1 🏷️ Knowledge base–level metadata definitions: supports three data types—String, Number, and Time; provides six built-in metadata fields (document_id, document_name, upload_time, update_time, uploader, updater).
1.2 📝 Document-level metadata assignment: flexibly add, edit, and delete metadata tags for individual documents.
1.3 🔍 Workflow metadata filtering: retrieval/Q&A nodes for the document knowledge base support metadata filtering; supports multi-condition combinations (AND/OR) and rich filter operators.
1.4 🔌 API support: provides APIs for metadata create, read, update, and delete (CRUD).
🛠️ 2. Feature optimizations & experience improvements
2.1 🎨 Model management optimizations: "通义千问" renamed to "阿里云百炼"; the Model Hub adds quick links to obtain API keys and documentation for 10 major vendors.
2.2 ⚡ Better usability: real-time sync updates for preset questions/variable references in workflows, optimized permissions for model fine-tuning, and other improvements.
v2.2.0
🚀 BISHENG 2.2-release Version
🎙️ 1. Workspace supports voice interaction (ASR+TTS):
1.1 Speech input (ASR): Click the “microphone” icon in the input box to dictate text directly.
1.2 Voice playback (TTS): A new “speaker” icon appears next to AI replies; click it to listen to the audio readout.
1.3 Model support: In the admin system’s model settings, you can configure ASR and TTS models. Provider formats from OpenAI, Azure, and 通义千问 are supported.
✨ 2. Conversation experience upgrades:
2.1 Enhanced Markdown rendering: Conversation content now supports rendering Echarts charts and Mermaid flowcharts.
2.2 Conversation sharing: A new “Share” button lets you generate a public, read-only link to safely share conversation results with others.
💡 3. Workflow RAG capability upgrades
3.1 New “Knowledge Base Retrieval” node: A standalone document knowledge base retrieval node for use within workflows, allowing developers to perform retrieval operations more flexibly and obtain structured results (including metadata and text).
3.2 Advanced retrieval settings: “Advanced retrieval settings” are now available in both the “Knowledge Base Retrieval” node and the existing “Document Knowledge Base Q&A” node. You can adjust hybrid retrieval weights (keyword vs. vector), result length, and enable a Rerank (re-ranking) model for secondary ranking.
🎛️ 4. Model management optimizations
4.1 Advanced model parameters: Model management (LLM/Embedding) supports advanced parameter configuration. You can pass vendor-specific parameters (e.g., for 阿里云, 火山引擎) in JSON—such as temperature, enable_thinking—to support configuring hybrid “thinking” model modes and related needs.
4.2 Baidu Qianfan Cloud Platform authentication logic update: Qianfan has switched to an OpenAI-compatible mode (using Base URL and API Key). Users of Baidu models, please update your configuration.
🔐 5. App/Tool admin permissions: Apps (workflows, assistants, skills) and tools now support assigning “admin permissions” to facilitate team collaboration and management.
📚 6. Knowledge base management optimizations: The QA knowledge base now supports “Duplicate” and “Settings” (including changing the embedding model).
🛠️ 7. Historical knowledge base defect fix
7.1 Defect description: When the Document Knowledge Base and the QA Knowledge Base use the same embedding model, modifying content in either may affect the other’s data in Milvus, leading to unexpected retrieval results.
7.2 Root cause: In Milvus’s partition mode, multiple knowledge bases using the same embedding model share one collection. The files in the Document Knowledge Base and QA pairs in the QA Knowledge Base may have conflicting file_id values (different tables with auto-increment IDs). Therefore, operations on items with the same file_id—files or QA pairs—will affect the counterpart’s data in Milvus.
7.3 Fix: ① Upgrade to the 2.2 release; ② Use the script (https://dataelem.feishu.cn/wiki/WNqbwm8zyiPo9ukIw5ecCWcfnPe#share-MTpPdLnTXo0hl3xN7PqcXp6NnBe) to scan for problematic knowledge bases; ③ Run the script as needed to repair all knowledge bases.
V2.2.0-beta3
BISHENG 2.2-beta3
🚀 1. Linsight Result File Export (Word / PDF):
Markdown documents can now be exported to Word (.docx) or PDF format with a single click.
⚙️ 2. Enhanced File Display for Code Executor:
Files generated by the Code Executor (including both E2B mode and Local mode) are now directly displayed within task results.
🧑 3. Upgraded Human-in-the-Loop Capabilities:
When Linsight proactively requests user assistance, the popup now supports file upload and drag-and-drop.
✨ 4. Experience Optimizations:
4.1 A new “Feedback Only” button is added to task results, allowing users to submit feedback without rerunning the task. Submitted feedback is viewable in the backend.
4.2 Tool invocations now display timestamps.
4.3 The task description area now shows uploaded file information from users.
v2.2.0-beta2
BISHENG 2.2.0-beta2
🚀 1. Linsight Featured Cases — “make similar” is now live
1.1 🏠 Workbench home now showcases Linsight Featured Cases: pulled from the backend Featured Case library. Each case card supports “make similar” and “View Case.”
1.2 🧾 Generation logic for “make similar”: in this mode, the SOP is generated directly from the specified featured case, without retrieving from the SOP library.
🗂️ 2. Backend Featured Case Management
2.1 🧑💻 Guidance Manual Library schema extended: added Creator and Featured fields.
2.2 ⭐ Mark as Featured Case: when importing from execution history into the Guidance Manual Library, a new Guidance Manual / Run Results tab is available; you can preview historical run results and mark manuals that include run results as Featured Cases.
📚 3. Linsight task flow now supports viewing knowledge-base & web search results: during task execution, a drawer modal lets you view the returned content from the knowledge-base search tool and the web search tool.
🔌 4. Web search tool: added two search engines — cloudsway and searXNG.
v2.2.0-beta1
v2.1.1
What's Changed
Full Changelog: v2.1.0...v2.1.1
Contributors
Assets 2
v2.1.0
BISHENG 2.1 release 版
🚀 1. 工作台正式发布
1.1 🏁 BISHENG 工作台独立上线： 定位为面向业务人员的 AI 应用门户；原有 BISHENG 平台将聚焦为管理与构建后台。
1.2 🗂️ 应用中心上线： 集中展示已构建的各类应用，支持按标签分类与设置常用应用。
1.3 📚 个人知识库优化： 1）支持管理员在系统模型设置中切换 Embedding 模型并重建个人知识库；2）个人知识库问答效果优化。
1.4 ⏱️ 系统提示词支持传入时间变量。
📚 2. BISHENG 平台知识库管理和体验优化
2.1 ✨ UI/交互全面优化： 信息更清晰、操作更流畅，支持批量操作与已上传文件的分段策略调整。
2.2 🔄 文档知识库支持切换 Embedding 模型并重建。
🧩 3. 工作流功能优化
3.1 🖼️ 报告节点增强： Word 模板支持插入 Markdown 图片/图片文件、Markdown 表格/表格文件。
3.2 👤 开始节点新增 user_info：返回用户名、用户组、角色信息，便于做基于用户身份的逻辑处理。
3.3 🗄️ 助手节点数据库查询扩充： 新增对 DB2、PostgreSQL、GaussDB、Oracle 的查询支持。
3.4 🏷️ 工作流 API 回参增强： 新增节点名称字段 node_name，便于定制化处理与日志追踪。
3.5 🔧 工具节点入参更智能：支持自动数据类型转换，降低参数校验与清洗成本。
🤖 4. 模型功能优化
4.1 🧪 微调能力升级：LLaMA-Factory 升级至最新稳定版本；可微调模型列表同步扩展至当前主流新模型。
4.2 🔌 模型管理拓展： 新增 华为 MindIE 接口格式。
🛠️ 5. 平台其他能力优化
5.1 🧠 本地推理模型效果渲染：Ollama、MindIE 等本地推理框架思考内容支持 <think> 样式渲染。
5.2 🛰️ 助手 API 实现实时流式响应：显著优化等待体验与交互反馈。
5.3 🔗 工具生态更开放： 支持streamable 协议 MCP 工具接入。
5.4 🧪 评测能力增强： 评测功能支持一问一答类型的工作流。