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@Dshadowzh Dshadowzh released this 16 Feb 19:32
· 474 commits to main since this release
v0.2.5
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0.2.5

New Features

  • OpenAI Agent SDK 0.7.0 Upgrade with Kimi-2.5 & Gemini-3 Support - Rebuilt the model layer with litellm_adapter and sdk_patches, enabling seamless integration with the latest Kimi-2.5 and Gemini-3 series models.
  • AgentSkills Support - Introduced a complete Skill system with skill configuration, registration, management, and permission control, supporting both bash and function-based skill tools. docs
  • Tools as MCP Server - Expose Datus database tools and context search as an MCP server, enabling integration with Claude Desktop, Claude Code, and other MCP-compatible clients. docs

Enhancements

  • Knowledge Generation Iteration - Enhanced the external knowledge node with improved knowledge storage and more accurate context search. docs
  • Semantic Tools Optimization - Optimized semantic tools and context search for faster, more relevant results in the CLI.
  • Generation Prompt String Validation - Strengthened string validation across multiple prompt templates for more reliable generation output.
  • Action-Based User Interaction Model - Redesigned the CLI interaction layer to use a unified action-based model for execution, generation, and planning.
  • Reference SQL Parallelization & Date Support - Parallelized reference SQL initialization for faster bootstrap, and enhanced date expression parsing. docs
  • Bootstrap Markdown Summary - Displays a formatted Markdown summary after bootstrap completion for quick review of generated results. docs
  • Subject Entry Deletion - Added the ability to delete semantic models, metrics, and SQL summaries directly from the @subject screen. docs

Bug Fixes

  • Subject Node Race Condition - Fixed a race condition when creating multiple subject nodes in parallel, improving concurrency safety.
  • Multi-Round Benchmark Evaluation - Resolved issues in agent state, workflow runner, and configuration handling during multi-round evaluations. docs
  • Attribution Analysis - Simplified attribution analysis logic for clearer and more reliable results.
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