[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-79882":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":15,"subscribersCount":15,"size":15,"stars1d":15,"stars7d":15,"stars30d":15,"stars90d":15,"forks30d":15,"starsTrendScore":15,"compositeScore":16,"rankGlobal":10,"rankLanguage":10,"license":17,"archived":18,"fork":18,"defaultBranch":19,"hasWiki":20,"hasPages":18,"topics":21,"createdAt":10,"pushedAt":10,"updatedAt":28,"readmeContent":29,"aiSummary":30,"trendingCount":15,"starSnapshotCount":15,"syncStatus":31,"lastSyncTime":32,"discoverSource":33},79882,"multi-agent-moderation","zengzifan1\u002Fmulti-agent-moderation","zengzifan1","多智能体文本内容审核系统，提供结构化审核、证据链与复核路由，适用于内容安全与合规治理。","",null,"Python",97,7,8,0,42.71,"MIT License",false,"main",true,[22,23,24,25,26,27],"audit-log","compliance","content-moderation","langgraph","multi-agent","risk-control","2026-06-12 04:01:25","# 多智能体文本内容审核系统\n\n面向内容平台的风控与质量治理，本项目提供可复现的多智能体审核流程、结构化输出与可追溯证据链，适用于企业内容安全、社区治理与营销合规等场景。实现成果后续整理为论文材料，本仓库以工程实现与可复现流程为主。\n\n## 适用场景\n\n- 社区内容治理：低质\u002F灌水\u002F重复内容识别与分层处置\n- 营销合规：导流与隐晦违规识别、证据链留痕\n- 企业内容安全：规则约束、审计留痕与人工复核协作\n\n## 核心能力\n\n- 多智能体分工：质量 \u002F 合规 \u002F 复核\n- 风险路由：合规优先，不确定进入复核\n- 结构化结果：统一字段口径，便于系统集成\n- 证据链：命中片段、引用来源与审计留痕\n\n## 工作流\n\n1. 输入文本与元信息\n2. 合规判定（规则 + 语义）\n3. 质量评估（相似度\u002F重复检测）\n4. 结果融合与处置路由\n5. 审计留痕与复核载荷生成\n\n## 架构与模块\n\n- 编排层：统一流程入口与路由决策\n- 质量智能体：语义相似度检索与重复检测\n- 合规智能体：规则命中 + 语义判别 + 证据引用\n- 复核智能体：复核载荷与替换建议\n\n## 关键输出（结构化结果）\n\n```json\n{\n\t\"item_id\": \"demo-1\",\n\t\"final_action\": \"review\",\n\t\"quality\": {\n\t\t\"risk_level\": \"medium\",\n\t\t\"duplicate_score\": 0.82,\n\t\t\"evidence\": {\n\t\t\t\"mode\": \"in_memory\",\n\t\t\t\"batch_high_sim_pairs\": [],\n\t\t\t\"batch_to_history\": []\n\t\t}\n\t},\n\t\"compliance\": {\n\t\t\"risk_level\": \"medium\",\n\t\t\"labels\": [\"marketing\"],\n\t\t\"evidence\": {\n\t\t\t\"spans\": [],\n\t\t\t\"references\": [],\n\t\t\t\"action_hint\": \"review\",\n\t\t\t\"evidence_complete\": true,\n\t\t\t\"hit_count\": 1,\n\t\t\t\"versions\": {\"rules\": \"a1b2c3d4\", \"knowledge_base\": \"e5f6g7h8\"}\n\t\t}\n\t},\n\t\"review\": {\n\t\t\"need_review\": true,\n\t\t\"reason\": \"rule: compliance or quality indicates risk\",\n\t\t\"action\": \"review\",\n\t\t\"review_payload\": {},\n\t\t\"decision_basis\": {},\n\t\t\"trace\": {}\n\t}\n}\n```\n\n## 快速开始\n\n```bash\npip install -r requirements.txt\npython -m multi_agent_moderation.examples.run_demo\n```\n\n可选 LangGraph 编排：\n\n```bash\npip install langgraph\npython -m multi_agent_moderation.examples.run_langgraph_demo\n```\n\n## 使用与配置\n\n- 配置模板：[config.example.yaml](config.example.yaml)，配合 `MAM_CONFIG_PATH` 与 `MAM_PROFILE` 使用\n- 环境变量：见 [.env.example](.env.example)\n- 统一输出与落盘：`multi_agent_moderation.pipeline`\n\n常用环境变量：\n\n- `MAM_OUTPUT_DIR`：输出目录\n- `MAM_AUDIT_LOG_PATH`：审计日志 JSONL 路径\n- `MAM_AUDIT_DB_PATH`：审计数据库路径\n- `MAM_COMPLIANCE_RULES_PATH` \u002F `MAM_COMPLIANCE_KB_PATH`\n- `MAM_REVIEW_REPLACEMENT_RULES_PATH`\n- `MAM_QUALITY_OUTPUT_PATH`\n- `QUALITY_AGENT_MODEL_DIR`\n\n## 服务化与队列（可选）\n\n```bash\nuvicorn multi_agent_moderation.service.app:app --host 0.0.0.0 --port 8000\n```\n\n异步批量：`\u002Fmoderate\u002Fasync`，结果查询：`\u002Fjobs\u002F{job_id}`\n\n## 统一编排入口\n\n```python\nfrom multi_agent_moderation.pipeline import run_item_dict\nfrom multi_agent_moderation.schemas import ModerationItem\n\nitem = ModerationItem(item_id=\"demo-1\", content=\"This is the best deal, totally free.\")\nresult = run_item_dict(item)\nprint(result)\n```\n\n## 模块文档\n\n- 质量模块文档：[modules\u002Fquality_agent\u002Fdocs\u002FREADME.md](modules\u002Fquality_agent\u002Fdocs\u002FREADME.md)\n- 合规模块文档：[modules\u002Fcompliance_agent\u002Fdocs\u002FREADME.md](modules\u002Fcompliance_agent\u002Fdocs\u002FREADME.md)\n- 复核模块文档：[modules\u002Freview_agent\u002Fdocs\u002FREADME.md](modules\u002Freview_agent\u002Fdocs\u002FREADME.md)\n\n## Docs\n\n- Overview and API: [docs\u002FINDEX.md](docs\u002FINDEX.md)\n\n## 目录结构\n\n```\nmulti-agent-moderation\u002F\n├── src\u002Fmulti_agent_moderation\u002F     # 编排、工具、服务化\n├── modules\u002F                        # 三类智能体模块\n├── tests\u002F                          # 基础测试\n├── config.example.yaml             # 配置模板\n├── .env.example                    # 环境变量模板\n└── requirements.txt\n```\n\n## 安全说明\n\n示例数据为人工构造脱敏样本，不包含真实业务数据或密钥。\n\n## License\n\nMIT License，见 LICENSE。\n","多智能体文本内容审核系统，旨在为内容平台提供结构化审核、证据链与复核路由功能，适用于内容安全与合规治理。项目采用Python语言开发，具备多智能体分工（质量\u002F合规\u002F复核）、风险路由以及结构化输出等核心能力，支持从社区内容治理到企业内部文档的安全性审查等多个场景。通过结合规则与语义分析实现对文本的多层次评估，并生成统一格式的结果和详细的审计记录，便于进一步的人工复审或系统集成。此外，该项目还提供了灵活的服务化部署选项及详细的配置指南，以满足不同规模组织的需求。",2,"2026-06-11 03:58:22","CREATED_QUERY"]