全部 engram Engram

tone_stabilizer

自己的声音。 长对话会把助手带离平常的语气：回复变长、变成报告，或染上最近一段的情绪。普通的自我召回只会让情况更糟，因为它匹配当前状态，把最近的发言当成性格返回。本引擎返回的是那一段之前的自身发言。需要以 speaker me 保存过的发言；若没有，则返回空而不做猜测。最多返回 10 条。

# store the assistant's turns as speaker "me", then pull its own register back
mem.add("I keep answers short unless you ask for detail.", user_id="alice", speaker="me")
mine = mem.engram("tone_stabilizer", "how do I usually answer?", user_id="alice")
await mem.add("I keep answers short unless you ask for detail.", "alice", { speaker: "me" });
const mine = await mem.engram("tone_stabilizer", "how do I usually answer?", "alice");
mem.add("I keep answers short unless you ask for detail.", "alice", json!({"speaker": "me"})).await?;
let mine = mem.engram("tone_stabilizer", "how do I usually answer?", "alice").await?;
curl -X POST https://api.wontopos.com/api/v1/engram/run \
  -H "X-API-Key: wos-live-..." -H "Content-Type: application/json" \
  -d '{"name":"tone_stabilizer","user_id":"alice","query":"how do I usually answer?"}'
响应
{ "engram": "tone_stabilizer", "hops": 2, "count": 10,
  "memories": [ { "content": "I keep answers short unless you ask for detail.", "speaker": "me" }, ... ],
  "usage": { "input_tokens": 200, "output_tokens": 442 } }
按 token 计量 - 每次调用都返回 usage（输入 + 输出），使用与 API 其他部分相同的分词器统计；没有隐藏的按 engram 收费。需要同时使用多个？并发调用即可 - 每个 engram 都是独立请求。