zhini_search_sessions
shallowio.github.zhinikefu/zhini-ai-assistant · Verify this server
搜索历史会话,用于按客户名、消息关键词、消息发送时间范围、客服、渠道、明确标签、联系人类型召回包括已结束、已关闭会话在内的历史会话候选。用户只要求查询当天或某个时间范围内的对话、咨询记录时,默认查询当前授权账号关联的所有渠道范围,不代表当前调用客服本人接待或回复过;除非用户明确说“我处理过、我接待过、我回复过、归属于我”或指定某客服/渠道,否则不要自动传 kfid 或 channel_id。用户要求查询某天或某段时间内的全部接待、完整会话或已结束会话时,应使用本工具分页查询,不能只调用 zhini_list_active_sessions。自然语言中的“XXX 用户/客户”默认是业务语义;当 XXX 必须根据聊天判断时,使用 msg 按相关表达召回候选,再用 msg_stime 限定消息发送时间范围,最后用 zhini_fetch_messages 读取完整上下文并由模型分类,不要先把 XXX 当成标签名。只有用户明确提到标签或已有 tag_id 时,标签才作为筛选条件或补充信号。关键词命中只是召回信号,不等于最终分类。条件性限制:仅当 msg 非空时,关键词历史检索只支持最近半年内的记录;msg 未传或为空、仅使用其他筛选条件(包括 msg_stime)时不受这条关键词专属限制。重要时间语义:msg_stime 表示消息发送时间范围,用于筛选时间段内包含消息的会话,不表示对话开启时间;旧字段 stime 已移除,不要传入。禁止空条件拉全量;page 从 0 开始;本工具不接收数量参数,底层查询默认每次返回 30 条,MCP 可全部展示给模型。
1 trials · measured 27 days ago
zhini_search_sessions scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.zhinikefu/zhini-ai-assistant, measured 11 Sept 2026 under methodology v0.2.0. Every measured component scored 100.
Component breakdown
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | not applicable |
Tool details
- Transport
- remote
- Credential class
- gated
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-09-11 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
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