lintsinghua 4d71ed546a feat(prompts-scan): integrate prompt templates and audit rules into scan and analysis workflows ... - Add user configuration retrieval with LLM API key decryption in prompt testing endpoint - Support output language parameter in prompt template testing - Integrate rule sets and prompt templates into ZIP file scanning process - Add rule_set_id and prompt_template_id parameters to ScanRequest model - Implement analyze_code_with_rules method for custom rule-based code analysis - Add prompt_template_id support to instant analysis endpoint - Update scan configuration to include rule set and prompt template selection - Enhance error handling and logging in prompt testing with traceback output - Extend InstantAnalysisRequest with optional prompt template ID parameter - Add test code samples utility for prompt template validation		2025-12-09 23:03:08 +08:00
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adapters	refactor(llm): simplify model name formatting logic in LiteLLMAdapter	2025-12-09 21:13:14 +08:00
__init__.py	refactor: 重构项目结构，将前端和后端代码分离到独立目录	2025-11-26 21:11:12 +08:00
base_adapter.py	feat: Refactor frontend layout with new sidebar and i18n, update backend LLM adapters, and adjust database models.	2025-11-27 18:01:57 +08:00
factory.py	feat(llm): enhance LLM connection testing with improved error handling and adapter instantiation	2025-11-28 16:53:01 +08:00
service.py	feat(prompts-scan): integrate prompt templates and audit rules into scan and analysis workflows	2025-12-09 23:03:08 +08:00
types.py	feat(llm): enhance LLM connection testing with improved error handling and adapter instantiation	2025-11-28 16:53:01 +08:00