Agentuniverse

Added
- agentUniverse Product Version Offering
- The current version provides basic capabilities for agent construction, modification, and debugging, jointly launched by the difizen project. For more details, please refer to the documentation in the product platform section.
- Monitor Component: Added knowledge and tool instance collection, supporting full-link trace sequence concatenation and providing token consumption monitoring.
- New Web Session Module: Provides session and message persistence management capabilities.

Note
- Optimized Knowledge Component: Users can configure and specify any number of recall results (similarity_top_k).
- Fixed Chroma Component: Resolved issues where the embedding module was not specified.
- Various code optimizations and documentation updates.

Added
- DataAgent Autonomous Data Agent MVP Version Released
- Minimum Viable Product version, DataAgent aims to empower your agent with the capability of self-assessment and evolution through intelligent agent abilities. For detailed information, please refer to the user documentation.
- Added intermediate information streaming output capabilities in PEER and ReAct modes

Note
- Latest PEER research findings released
- This paper provides a detailed introduction to the mechanisms and principles of the PEER multi-agent framework. Experimental validation proves the advancement of the PEER model. For detailed information, please refer to the user documentation.
- Added use cases
- Andrew Ng's Reflexive Workflow Translation Agent Replication
- Some code optimizations and documentation updates.

Added
- Added standard integration for the DeepSeek model in the LLM module.
- Added a new OpenAI general protocol wrapper class, OpenAIStyleLLM.
- Models using the OpenAI protocol can be configured directly.
- Added a new LangChain tool wrapper class, LangChainTool, with several example tools for search and execution.
- LangChain tools can be configured directly.
- Added Agent information collection capability in the monitor module.

Note
- Added use cases.
- Supplemented documentation with a financial event analysis case study using PEER collaborative mode.
- Added several new documents for LLM components, tool components, and the Monitor module.
- Updated the new README.
- Some code optimizations and documentation updates.

Added
- Added standard integration for Claude and Ollama LLM components
- Added new Qwen embedding module
- Added default agents for ReAct-Type and NL2API-Type

Note
- Added new use cases
- RAG-Type Agent Examples: Legal Consultation Agent
- ReAct-Type Agent Examples: Python Code Generation and Execution Agent
- Multi-Agent: Discussion Group Based on Multi-Turn Multi-Agent Mode

For more details, please refer to the use case section in the user documentation.
- Some code optimizations and documentation updates.

Added
- Introduced a new monitor module
- Data running in any agentUniverse can be collected and observed
- Added webserver post_fork functionality
- Provides multi-node process intervention capabilities after starting the webserver in agentUniverse
- Introduced SQLDB_WRAPPER wrapper class, offering typical database connection methods
- Through the SQLDB_WRAPPER wrapper class, you can conveniently connect to various databases and storage technologies including SQLServer, MySQL, Oracle, PostgreSQL, SQLite and others
- Added connection support for Milvus vector database component

For more usage of the above features, please pay attention to the agentUniverse guidebook.

Changed
- Flask is set as the default webserver startup method across all platforms, with gunicorn and gRPC capabilities disabled by default
- In the previous version, we found slight compatibility differences with gunicorn and gRPC across different operating systems. Thus, we have made Flask the primary startup method for all platforms. You can enable gunicorn and gRPC in the configuration as needed.

Security
- Some aU dependencies were identified to have security vulnerabilities in third-party packages. For security reasons, we have upgraded their versions, with the main changes including:
- requests (^2.31.0 -> ^2.32.0)
- flask (^2.2 -> ^2.3.2)
- werkzeug (^2.2.2 -> ^3.0.3)
- langchain (0.0.352 -> 0.1.20)
- langchain-core (0.1.3 -> 0.1.52)
- langchain-community (no version lock -> 0.0.38)
- gunicorn (21.2.0 -> ^22.0.0)
- Jinja2 (no version lock -> ^3.1.4)
- tqdm (no version lock -> ^4.66.3)
If your system has external access, we strongly recommend installing version v0.0.8 of agentUniverse to mitigate the security risks posed by these third-party packages. For more detailed information, you can visit https://security.snyk.io.

Note
- Some code optimizations and documentation updates.

Added
- LLM component supports multimodal parameter invocation.
- Added LLM integration methods for Qwen, WenXin, Kimi, Baichuan, etc.

Note
- Added a multimodal example agent, see the invocation details in `sample_standard_app.app.test.test_multimodal_agent.MultimodalAgentTest`.
- Some code optimizations and documentation updates.