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5 Commits

Author SHA1 Message Date
vinland100 2b0c7f5c2a feat: Lock LLM and embedding configurations to system environment variables, mask API keys, and refactor frontend logout. 2026-01-05 14:45:00 +08:00
lintsinghua 4d7abae245 feat(embedding): 支持 OpenAI 兼容 API 并增强错误处理 
- 更新 OpenAI 提供商描述以支持兼容 API 服务商
- 前端添加兼容 API 使用引导说明
- 后端 QwenEmbedding 添加 API 密钥验证和错误处理
 2025-12-19 16:37:39 +08:00
w1_liamby d827ab8b03 [feat] 添加 qwen 嵌入模型提供商 2025-12-19 15:14:39 +08:00
lintsinghua f71b8da7df feat(embedding): 支持前端配置嵌入模型的API密钥 
refactor(agent): 改进任务取消逻辑，确保子Agent被正确取消
- 移除asyncio.shield()以允许取消信号传播
- 增加更频繁的取消状态检查
- 添加日志记录子Agent取消情况

feat(nginx): 添加前端构建产物和nginx配置的挂载

refactor(rag): 优化代码索引器的日志输出和元数据处理
- 添加索引文件数量的调试日志
- 将元数据字段提升到顶级以便检索

fix(parser): 修复AST定义提取中的方法识别问题
- 区分函数和方法定义
- 优化遍历逻辑避免重复匹配
 2025-12-16 19:42:44 +08:00
lintsinghua 9bc114af1f feat(agent): implement Agent audit module with LangGraph integration 
- Introduce new Agent audit functionality for autonomous code security analysis and vulnerability verification.
- Add API endpoints for managing Agent tasks and configurations.
- Implement UI components for Agent mode selection and embedding model configuration.
- Enhance the overall architecture with a focus on RAG (Retrieval-Augmented Generation) for improved code semantic search.
- Create a sandbox environment for secure execution of vulnerability tests.
- Update documentation to include details on the new Agent audit features and usage instructions.
 2025-12-11 19:09:10 +08:00