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Add api&react boilerplate projects (100% ai coding) - #1
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- Implement ModelProviderFactory for dynamic model provider creation based on configuration. - Create OpenAI models for chat completion requests and responses. - Define BoilerplateOptions for application configuration management. - Set up Program.cs for application startup, dependency injection, and routing. - Add README.md for project overview, features, quick start guide, and usage examples. - Create appsettings.json for configuration settings including API keys and server URLs. - Develop demo skill with greet and calculate functions, including usage examples and skill.yaml definition. - Implement structured logging with Serilog and OpenTelemetry for observability. - Ensure session management and persistence for multi-turn conversations.
- Implement ScrollArea and Textarea components for UI. - Create ChatContext to manage chat sessions and messages. - Add API service for handling chat requests and responses. - Introduce utility functions for class name management. - Set up Tailwind CSS for styling and theming. - Establish logging middleware for detailed request/response tracking. - Create initial project structure with TypeScript configuration. - Add Vite configuration for development server and proxy settings. - Document logging and diagnostics guide for troubleshooting.
…out and styling; add custom scrollbar styles
- Implemented a theme toggle button to switch between light and dark modes. - Added logic to persist the user's theme preference in localStorage. - Integrated `react-markdown` for rendering messages with support for GitHub Flavored Markdown and syntax highlighting. - Updated styles for code highlighting in dark mode. - Enhanced the `SessionList` component to include the theme toggle button. - Added a new `ThemeToggle` component for managing theme state. - Updated Tailwind CSS configuration to include typography plugin.
- Added support for tool events in the frontend using Server-Sent Events (SSE). - Created new types for ToolEvent and ToolCall in `src/types/index.ts`. - Enhanced `sendMessageStream` in `src/services/api.ts` to handle tool events. - Updated `ChatPanel.tsx` to track and display tool call statuses. - Documented tool events functionality in TOOL_EVENTS_GUIDE.md and TESTING_TOOL_EVENTS.md. - Added HTML test page for real-time tool events visualization. - Implemented debugging logs and error handling for tool events.
- Deleted outdated testing guides and usage instructions for tool events. - Consolidated and updated tool events integration documentation in the Kode.Agent.Boilerplate project. - Enhanced clarity and consistency in event descriptions and usage examples across multiple markdown files. - Improved testing procedures for tool events, including Node.js scripts and curl commands. - Ensured all tool events are properly documented with expected outputs and verification points. - Updated frontend integration examples to reflect recent changes in tool event handling.
cosmic-flood
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Apr 20, 2026
Bug #1: Provider 丢弃 core-memory / summary 系统消息，导致三层架构失效 - AnthropicProvider: 用 List<TextBlockParam> 把 memory 块带到 System 字段 - OpenAIProvider: 追加多条 SystemChatMessage - OpenAIResponsesProvider: 合并进 instructions 字符串 Bug #2: Force-compress 在估算偏差时空跑，model_empty_response 死循环 - CompressAsync 补 force-mode 硬截断兜底，保留 MinRecentMessages 条 - 信任模型的"装不下"信号，不再依赖本地估算 Bug #3: 空 removedMessages 污染 core-memory / summary stack - LlmContextSummarizer 防御短路 - ContextManager 调用点短路 + 保留 mergeOverdue 分支 - summaryResult / newSummaryMsg 改为 nullable 优化 #1: 服务端 usage 回填校准 token 估算 - EMA(0.3) 平滑 _calibrationFactor ∈ [0.5, 5.0] - Analyze / CompressAsync budget 全部按 factor 换算 - Agent.ModelStreaming 在每次流结束后回填 优化 #2: Tool-result 级 micro-compaction - 白名单 fs_read/fs_grep/fs_glob/fs_list/bash_logs - (tool_name, canonical-JSON(input)) 做 key，老的替换为 superseded 存根 - 保留 tool_use / tool_result 配对，不破坏原子删除逻辑 docs/CONTEXT_COMPRESSION.md 新增「重大修复与优化（2026-04）」段， 四段式（现象 / 根因 / 方案 / 为什么有效）+ usage 缺失降级说明。 测试: 601 通过 / 0 失败 / 17 skip（需真实 API）
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