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group_fqcd_jr/docs/evidence/20260918-config-snapshot.json
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张胜宇 5d0becb67d 客服 Agent 重构收口：五出口决策链 + 知识库档位隔离 + 前端入参边界（答辩演示版本） 
一、客服 Agent 智能增强（正面回应"不智能、动不动就转人工"）
- 决策链由 2 个出口扩到 5 个：E1 澄清 / E2 计算型 / E3 知识直返 / E4 证据约束生成 / E5 分级回退
- 转人工从"默认动作"降为最后一档 E5c，只保留 4 类白名单：
  P0 反诈 / P1 账户与个人数据 / P2 写操作与争议 / 用户明确要求人工
- 46 条金标实测（修复前 → 修复后）：
  转人工率 43.5% → 10.9%；出口准确率 45.7% → 100%；事实正确率 69.6% → 100%
  禁忌违反 1 → 0；档位越权 / 无出处数字 / 误拒 四项零容忍全 0
- 安全不变量 INV-1~INV-5；零容忍规则未删，改的是挂载点
  （输出侧字面黑名单 → 检索层档位隔离 + 判定层合规词表 + 输出守护）

二、知识库：档位单点化与物理隔离
- 新增 app/core/knowledge_tier.py 作为档位规则唯一落点（G-03），
  knowledge_contracts.py 原定义块改为显式再导出（X as X，非副本）
- 档位过滤由 bool 默认值（fail-open）改为 tiers 必填集合（缺参即 TypeError）
- Milvus 侧四集合按 visibility 分区键物理隔离；双 schema 收敛为一套
- 新增 app/core/actor.py：访客三元组与匿名判定的唯一构造/判定点（G-01/G-01b）
- 新增 app/core/fund_fee_rules.py：费率计算纯函数

三、前端入参边界对齐（本轮 W11 新修，4 处"校验宽于存储"）
- message 加 max_length=8000（与浮窗 widget.js 的 maxlength 一致）
- session_id 加 1—64；idempotency_key 上限 128 → 64（对齐列宽 String(64)）
- feedback_type 加 max_length=32（对齐列宽 String(32)）
- 8 条路径参数补 min_length=1 + max_length=64 + 字符集正则
  （{session_id} / {run_id} / {handover_id}）
- 改前超限值会落到 MySQL 才失败（500）；改后一律 422 AGENT_INPUT_INVALID + 字段级定位
- 新增 tests/unit/api/test_frontend_boundaries.py（33 例），含"端点表 ↔ OpenAPI 全量对照"

四、投顾模块整体清除（D4.4 / D4.5）
- 删除投顾相关 controller / schema / model / repository / service 及门户页面
- tools/portal_api_check.py 同步作废 AD003/AD005/AD011/A047 四条用例与 advisor_t 登录
  （端点与账号均已不存在，此前稳定报 3 条假红）

五、验证（提交前实测）
- pytest -q：1856 passed / 2 skipped / 0 failed
- ruff check app tools tests：19（= 基线）；mypy app：2（= 基线）
- 前端接口契约体检 portal_api_check.py：38 项，通过 34，失败 0，跳过 4
- 全链路冒烟 e2e_smoke_test.py --read-only：31/31
- HTTP 全链路探针 http_probe.py：11/11 succeeded
- 跨文档一致性 _consistency.py：GATE PASS
- 真机边界复验 12 条：12/12 符合预期

六、纪律与文档
- 可改文件白名单 A-09（docs/46）与底座会签申请单 A-10（docs/47，组 1—组 4 全部受理）
- 零 DDL：未新增/修改任何表结构，89 张业务表与基线一致
- 证据留痕：docs/evidence/**（含 46 条金标 score、快照、清除与重建记录）
- 未提交（刻意排除，见提交说明）：仓库内 客服agent/ 与 开发文档/ 是 2026-09-16 前的
  过期副本（Todolist 440 行 vs 权威 D2.1 1167 行），权威正本在仓库外；
  _chunks_report.txt 是 tools/build_knowledge_chunks.py 生成的本地产物
2026-09-20 14:33:30 +08:00

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],
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{
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],
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},
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{
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],
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},
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},
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}
],
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"created_timestamp": "468981915702525957"
},
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},
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{
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},
{
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},
{
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},
{
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},
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},
{
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}
],
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],
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},
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},
{
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},
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},
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}
],
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},
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],
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]
}
},
"env_variable_names": [
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"ADVISOR_ROLLOUT_ENABLED",
"APP_ENV",
"APP_NAME",
"DASHSCOPE_API_KEY",
"DEEPSEEK_API_KEY",
"JWT_ALGORITHM",
"JWT_AUDIENCE",
"JWT_CLOCK_SKEW_SECONDS",
"JWT_ISSUER",
"JWT_PRIVATE_KEY_PATH",
"JWT_PUBLIC_KEY_PATH",
"LOG_LEVEL",
"MESSAGE_BROKER_DLQ_TOPIC",
"MESSAGE_BROKER_OUTBOX_TOPIC",
"MESSAGE_BROKER_RUN_TOPIC",
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"MILVUS_TOKEN",
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"MODEL_DEFAULT_ENDPOINT",
"MODEL_FALLBACK_ENDPOINT",
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"MYSQL_DSN",
"MYSQL_MAX_OVERFLOW",
"MYSQL_POOL_PRE_PING",
"MYSQL_POOL_SIZE",
"MYSQL_TX_ISOLATION",
"NEO4J_DATABASE",
"NEO4J_PASSWORD",
"NEO4J_URI",
"NEO4J_USERNAME",
"OFFSITE_ALIYUN_ACCESS_KEY_ID",
"OFFSITE_ALIYUN_ACCESS_KEY_SECRET",
"OFFSITE_ALIYUN_OCR_ENDPOINT",
"OFFSITE_ALIYUN_POLL_INTERVAL_SECONDS",
"OFFSITE_ALIYUN_REGION_ID",
"OFFSITE_ALLOWED_SENDERS",
"OFFSITE_DEEPSEEK_API_KEY",
"OFFSITE_DEEPSEEK_BASE_URL",
"OFFSITE_DEEPSEEK_ENABLED",
"OFFSITE_DEEPSEEK_MODEL",
"OFFSITE_DEEPSEEK_TIMEOUT_SECONDS",
"OFFSITE_IMAP_ENABLED",
"OFFSITE_IMAP_HOST",
"OFFSITE_IMAP_IDLE_ENABLED",
"OFFSITE_IMAP_IDLE_TIMEOUT_SECONDS",
"OFFSITE_IMAP_PASSWORD",
"OFFSITE_IMAP_PORT",
"OFFSITE_IMAP_USERNAME",
"OFFSITE_IMAP_USE_SSL",
"OFFSITE_MAILBOX",
"OFFSITE_MAIL_RETURN_RECEIVER",
"OFFSITE_MAIL_STORAGE_DIR",
"OFFSITE_MAIL_WORKER_BATCH_SIZE",
"OFFSITE_MAIL_WORKER_ENABLED",
"OFFSITE_MAX_RETRY_COUNT",
"OFFSITE_NOTIFICATION_SENDING_TIMEOUT_SECONDS",
"OFFSITE_OCR_ENABLED",
"OFFSITE_OCR_TIMEOUT_SECONDS",
"OFFSITE_RISK_RECEIVER_ID",
"OFFSITE_SETTLEMENT_RECEIVER_ID",
"OFFSITE_SMTP_DRY_RUN",
"OFFSITE_SMTP_ENABLED",
"OFFSITE_SMTP_HOST",
"OFFSITE_SMTP_PASSWORD",
"OFFSITE_SMTP_PORT",
"OFFSITE_SMTP_SENDER",
"OFFSITE_SMTP_TIMEOUT_SECONDS",
"OFFSITE_SMTP_USERNAME",
"OFFSITE_SMTP_USE_SSL",
"OFFSITE_WORKER_USER_ID",
"PROMOTION_IMAGE_BASE_URL",
"PROMOTION_IMAGE_ENABLED",
"PROMOTION_IMAGE_MODEL",
"PROMOTION_IMAGE_POLL_INTERVAL_SECONDS",
"PROMOTION_IMAGE_TIMEOUT_SECONDS",
"PROMOTION_MATERIAL_STORAGE_DIR",
"PROMOTION_MAX_PERFORMANCE_FILE_SIZE_BYTES",
"PROMOTION_MAX_PHOTO_SIZE_BYTES",
"PROMOTION_PDF_CONVERTER_PATH",
"PROMOTION_PDF_ENABLED",
"QWEN_EMBEDDING_API_KEY",
"RATE_LIMIT_ENABLED",
"RATE_LIMIT_KEY_PREFIX",
"RATE_LIMIT_MAX_REQUESTS",
"RATE_LIMIT_WINDOW_SECONDS",
"REDIS_CONNECT_TIMEOUT_SECONDS",
"REDIS_URL",
"RISK_ALERT_MAIL_DRY_RUN",
"RISK_ALERT_MAIL_ENABLED",
"RISK_ALERT_MAIL_RECIPIENTS",
"RISK_DAILY_REPORT_MAIL_DRY_RUN",
"RISK_DAILY_REPORT_MAIL_ENABLED",
"RISK_EVIDENCE_DIR",
"RISK_EVIDENCE_MAX_FILE_SIZE_MB",
"RISK_SCAN_INTERVAL_MINUTES",
"RISK_SCAN_POLL_SECONDS",
"RISK_SCAN_RETRY_LIMIT",
"RISK_SCAN_RUN_IMMEDIATELY",
"RISK_SCAN_SCHEDULE_ENABLED",
"RISK_SMTP_HOST",
"RISK_SMTP_PASSWORD",
"RISK_SMTP_PORT",
"RISK_SMTP_SENDER",
"RISK_SMTP_TIMEOUT_SECONDS",
"RISK_SMTP_USERNAME",
"RISK_SMTP_USE_SSL",
"SSE_CHUNK_CHARACTERS",
"SSE_HEARTBEAT_SECONDS",
"SSE_MAX_CONNECTION_SECONDS",
"TIMEZONE",
"WORKER_LEASE_SECONDS",
"WORKER_POLL_SECONDS",
"WORKER_RETRY_LIMIT"
],
"secret_ref_resolution": [
{
"endpoint_code": "knowledge-embedding-qwen-v3",
"secret_ref": "env:QWEN_API_KEY",
"resolvable": false
},
{
"endpoint_code": "deepseek-flash",
"secret_ref": "env:DEEPSEEK_API_KEY",
"resolvable": true
}
],
"setup_tool_probe": {
"exit_code": 2,
"stdout_tail": [
"存在同名不同结构的集合，已停止且未做任何覆盖，请人工确认：",
" - fin_faq_collection: 字段 snippet 长度不一致（实际 1024，期望 4000）；字段 tags 长度不一致（实际 1024，期望 512）；字段 version 长度不一致（实际 64，期望 16）；缺少字段 intent",
" - fin_policy_collection: 字段 snippet 长度不一致（实际 1024，期望 4000）；字段 tags 长度不一致（实际 1024，期望 512）；字段 version 长度不一致（实际 64，期望 16）；缺少字段 intent",
" - fin_product_collection: 字段 snippet 长度不一致（实际 1024，期望 4000）；字段 tags 长度不一致（实际 1024，期望 512）；字段 version 长度不一致（实际 64，期望 16）；缺少字段 intent"
]
},
"source_chunks": {
"path": "knowledge/_chunks.jsonl",
"rows": 617,
"keys": [
"chapter",
"chars",
"collection",
"content",
"doc_id",
"doc_no",
"effective_date",
"expire_date",
"reviewer",
"section",
"source_file",
"source_url",
"tags",
"title",
"version",
"visibility"
],
"collection_dist": {
"fin_policy_collection": 281,
"fin_product_collection": 211,
"fin_faq_collection": 125
},
"visibility_dist": {
"public": 617
},
"brand_occurrences": {
"南方基金": 0,
"南方科技": 441,
"奶龙": 0,
"南方财富": 0
},
"brand_marker_zero": {
"南方基金": true,
"奶龙": true
}
},
"milvus_vs_source_gap": {
"fin_faq_collection": {
"milvus_rows": 15,
"source_rows": 125
},
"fin_policy_collection": {
"milvus_rows": 11,
"source_rows": 281
},
"fin_product_collection": {
"milvus_rows": 26,
"source_rows": 211
}
},
"collection_schema_variants": {
"official_setup_tool": [
"knowledge_id(64,PK)",
"title(256)",
"snippet(4000)",
"tags(512)",
"version(16)",
"intent(32,nullable)",
"embedding(1024)"
],
"temp_loader_script": [
"doc_id(64,PK)",
"title",
"content",
"chapter",
"section",
"tags",
"doc_no",
"version",
"source_file",
"visibility",
"embedding(1024)"
],
"live_milvus": [
"knowledge_id(64,PK)",
"title(256)",
"snippet(1024)",
"tags(1024)",
"version(64)",
"embedding(1024)"
]
},
"embedding_endpoint_probe": {
"chosen_model": "text-embedding-v3",
"chosen_dim": 1024,
"dim_contract": "app/core/knowledge_contracts.py VECTOR_DIM=1024",
"doc_basis": "D1.2-南方基金业务事实基座与虚构数据规范 §（embedding 维度 1024 / 通义千问 text-embedding-v3）",
"model_probe": {
"text-embedding-v3": {
"status": 200,
"dim": 1024
},
"qwen3.7-text-embedding-flash": {
"status": 200,
"dim": 1024
}
},
"env_fix_applied": "已向 group_fqcd_jr/.env 补 QWEN_API_KEY（与 QWEN_EMBEDDING_API_KEY/DASHSCOPE_API_KEY 同一把千问 key，115 字符）",
"finding": "实测两个模型名在 DashScope 均可用且均输出 1024 维：text-embedding-v3（现库+文档口径）与 qwen3.7-text-embedding-flash（tools 脚本口径）。故真正导致向量化失败的**只有** .env 缺 env:QWEN_API_KEY 这一个变量名；模型名不一致属口径分裂，不是致命错误，但必须收敛为一种（建议 text-embedding-v3）。",
"inconsistency_list": [
"tools/configure_embedding_endpoint.py:89,91 -> model=qwen3.7-text-embedding-flash, secret_ref=env:QWEN_EMBEDDING_API_KEY",
"tools/load_knowledge_milvus.py:36-38 -> EMBED_MODEL=qwen3.7-text-embedding-flash, EMBED_KEY=QWEN_EMBEDDING_API_KEY",
"app/core/knowledge_contracts.py:27 VECTOR_DIM=1024 注释写 text-embedding-v3 输出维度",
"现库 model_endpoint_config.id=1 -> model=text-embedding-v3, secret_ref=env:QWEN_API_KEY, context_window=8192, allowed_data_levels=[public]"
],
"post_fix_verification": {
"command": "get_memory_embedding_service().embed(resolve(agent_type='customer_service', task_type='embedding'), '基金赎回多久到账')",
"endpoint": "knowledge-embedding-qwen-v3 / text-embedding-v3 / env:QWEN_API_KEY",
"before_fix": "RecoverableAgentError: 所有已批准向量端点调用失败",
"after_fix": "EMBED_OK dim=1024",
"conclusion": "补齐 env:QWEN_API_KEY 后，知识检索向量化全链路恢复；这是一条独立于词表的『强制转人工』根因，已消除。"
}
}
}
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