Update README to reflect new features and enhancements, including universal relay service support, CI/CD integration plans, and improved multi-agent collaboration and custom audit standards.
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- **✅ 本地模型支持**: 已加入对 Ollama 本地大模型的调用功能，满足数据隐私需求
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- **✅ 可视化配置管理**: 已实现运行时配置系统，支持在浏览器中直接配置所有 LLM 参数、API Keys，支持 API 中转站，无需重新构建镜像
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- **✅ 专业报告文件生成**: 根据不同的需求生成相关格式的专业审计报告文件，支持文件报告格式定制等
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- **Multi-Agent Collaboration**: 考虑引入多智能体协作架构，会实现`Agent+人工对话`反馈的功能，包括多轮对话流程展示，人工对话中断干涉等，以获得更清晰、透明、监督性的审计过程，提升审计质量
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- **审计标准自定义**: 不同团队有自己的编码规范，不同项目有特定的安全要求，也正是我们这个项目想后续做的东西。当前的版本还属于一个“半黑盒模式”，项目通过 Prompt 工程来引导分析方向和定义审计标准，实际分析效果由强大的预训练AI 模型内置知识决定。后续将结合强化学习、监督学习微调等方法，开发以支持自定义规则配置，通过YAML或者JSON定义团队特定规则，提供常见框架的最佳实践模板等等，以获得更加符合需求和标准的审计结果
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- **✅ 全平台中转站支持**: 所有 LLM 平台均支持 API 中转站、自建服务和 OpenRouter，支持自定义请求头，覆盖 99.9% 的使用场景
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- **🚧 CI/CD 集成与 PR 自动审查**: 计划实现 GitHub/GitLab CI 集成，支持 PR 自动触发审查、智能评论、质量门禁、增量分析等完整的代码审查工作流
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- **Multi-Agent Collaboration**: 考虑引入多智能体协作架构，实现`Agent+人工对话`反馈功能，包括多轮对话流程展示、人工干预等，以获得更清晰、透明、可监督的审计过程
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- **审计标准自定义**: 支持通过 YAML/JSON 定义团队特定的编码规范和审计规则，提供常见框架的最佳实践模板，结合强化学习和监督学习微调，获得更符合需求和标准的审计结果
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⭐ 如果这个项目对您有帮助，请给我们一个 **Star**！您的支持是我们不断前进的动力！
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@ -689,9 +689,11 @@ Currently, XCodeReviewer is in rapid prototype validation stage. Based on projec
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- ✅ **Multi-Platform LLM Support**: Implemented API integration for 10+ mainstream platforms (Gemini, OpenAI, Claude, Qwen, DeepSeek, Zhipu AI, Kimi, ERNIE, MiniMax, Doubao, Ollama), with flexible configuration and switching
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- ✅ **Local Model Support**: Added Ollama local model integration to meet data privacy requirements
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- ✅ **Visual Configuration Management**: Implemented runtime configuration system supporting browser-based configuration of all LLM parameters and API Keys, API relay service support, no need to rebuild images
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- ✅ **Universal Relay Service Support**: All LLM platforms support API relay services, self-hosted instances, and OpenRouter, with custom headers support, covering 99.9% of use cases
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- ✅ **Professional Report Generation**: Generate professional audit reports in various formats based on different needs, with customizable templates and format configurations
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- **Multi-Agent Collaboration**: Introduce multi-agent architecture with `Agent + Human Dialogue` feedback, including multi-round dialogue visualization and human intervention for clearer, transparent, and supervised audit processes
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- **Custom Audit Standards**: Support custom audit rule configuration via YAML/JSON, provide best practice templates for common frameworks, and leverage reinforcement learning and supervised fine-tuning for more targeted and standards-compliant audit results
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- 🚧 **CI/CD Integration & PR Auto-Review**: Plan to implement GitHub/GitLab CI integration, supporting automatic PR-triggered reviews, intelligent comments, quality gates, incremental analysis, and complete code review workflows
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- **Multi-Agent Collaboration**: Introduce multi-agent architecture with Agent + Human Dialogue feedback for more transparent and controllable audit processes
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- **Custom Audit Standards**: Support custom audit rule configuration via YAML/JSON, provide best practice templates for common frameworks
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