merge: 合併 origin/main,保留評估標籤與關係維度兩段 README,版本 0.0.3

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
This commit is contained in:
2026-10-14 08:00:46 +00:00
co-authored by Claude Sonnet 5.5
9 changed files with 207 additions and 25 deletions
@@ -5,6 +5,7 @@ import { readJson, writeJson } from './fs'
import type { Clock, Fs } from './fs'
import { applyDelta, decay, keywordEvent, MOOD_EVENTS, moodLabel } from './mood'
import type { MoodEvent } from './mood'
import { extractTag } from './tags'
import { createCare } from './care'
import type { Care, CareProfile, CareSettings, CareEngine, Signals } from './care'
import { createMemory } from './memory'
@@ -202,6 +203,8 @@ export function createCompanion({ fs, clock, root, builtins = [FUBUKI] }: Compan
settings: { dailyCap: DEFAULT_USER.careLimit, tzOffsetMin: 480 },
}
let lastText = ''
// 這回合使用者文字是否已由正則判出標籤;是的話不再採用模型補的標
let regexHit = false
let recalled: string[] = []
// 目前啟用角色的記憶、待辦與關心引擎;關心的個人化參數每次取用時更新
@@ -242,6 +245,7 @@ export function createCompanion({ fs, clock, root, builtins = [FUBUKI] }: Compan
async function onPrompt(text: string): Promise<string[]> {
lastText = text
const ev = keywordEvent(text)
regexHit = ev !== null
if (ev) await moodEvent(ev)
if (ev === 'scold') await affinityEvent('negative')
else if (ev || text.trim().length >= 4) await affinityEvent('meaningful')
@@ -265,9 +269,14 @@ export function createCompanion({ fs, clock, root, builtins = [FUBUKI] }: Compan
}
// 一輪回覆結束;有用過工具才算做完事,心情變好並排隊一則反應
async function onTurnComplete(usedTools: boolean) {
async function onTurnComplete(usedTools: boolean, reply = '') {
const b = await bundleFor()
if (!b || !usedTools) return
if (!b) return
// 正則沒判出時,採用模型於回覆末尾補的標籤;不在白名單或缺失就當作沒標
const tag = regexHit ? null : extractTag(reply)
regexHit = true
if (tag) await moodEvent(tag)
if (!usedTools) return
await b.care.onTurnComplete(usedTools)
await moodEvent('success')
}
@@ -1,3 +1,5 @@
import { regexTag, RULES } from './rules'
import type { Tag } from './tags'
import type { Pad } from './types'
export const clamp = (x: number, lo = -1, hi = 1) => Math.max(lo, Math.min(hi, x))
@@ -27,17 +29,9 @@ export function applyDelta(mood: Pad, delta: Pad): Pad {
return { p: step(mood.p, delta.p), a: step(mood.a, delta.a), d: step(mood.d, delta.d) }
}
export const MOOD_EVENTS = {
thanks: { p: 0.15, a: 0.05, d: 0.05 },
scold: { p: -0.2, a: 0.15, d: -0.1 },
success: { p: 0.08, a: 0.03, d: 0.05 },
toolFail: { p: -0.08, a: 0.1, d: -0.08 },
return: { p: 0.1, a: 0.08, d: 0 },
lateNight: { p: -0.05, a: -0.1, d: 0 },
favorite: { p: 0.12, a: 0.08, d: 0.03 },
ignored: { p: -0.05, a: -0.03, d: -0.03 },
} as const satisfies Record<string, Pad>
export type MoodEvent = keyof typeof MOOD_EVENTS
// 心情事件即評估標籤,增減量由 rules.ts 的規則表決定
export const MOOD_EVENTS = RULES
export type MoodEvent = Tag
// 八分區(Mehrabian 的 PAD 八分類)→ 情緒標籤與顏文字
const OCTANTS: Record<string, { label: string; kaomoji: string }> = {
@@ -59,14 +53,5 @@ export function moodLabel(m: Pad): { label: string; kaomoji: string } {
return OCTANTS[s(m.p) + s(m.a) + s(m.d)]!
}
const KEYWORDS: [MoodEvent, RegExp][] = [
['scold', /笨|白痴|廢物|爛|你很煩|閉嘴|stupid|useless|idiot/i],
['thanks', /謝謝|感謝|太棒|好棒|厲害|讚|thanks?|thank you|great job|awesome/i],
['success', /成功|完成了|通過|搞定|passed|done|fixed/i],
]
/** 以使用者文字的關鍵字對應心情事件 */
export function keywordEvent(text: string): MoodEvent | null {
for (const [ev, re] of KEYWORDS) if (re.test(text)) return ev
return null
}
export const keywordEvent = (text: string): MoodEvent | null => regexTag(text)
@@ -1,4 +1,5 @@
import type { View } from './core'
import { TAGS } from './tags'
// 語氣只套用於對話文字與過場話;技術內容原樣保留
export type Extras = { memories?: string[]; todos?: string[] }
@@ -14,6 +15,7 @@ export function buildPrompt(v: View, nickname: string, extras: Extras = {}): str
...(extras.todos?.length ? ['使用者尚未完成的待辦與你答應過的事(適時提醒):', ...extras.todos.map(t => `- ${t}`)] : []),
'每則回覆開頭用一句角色口吻的話回應;工具呼叫前後的過場話也維持角色口吻。',
'程式碼、指令、路徑、錯誤訊息、安全警告必須逐字保持原樣,不得改寫或加語氣詞。',
`回覆最後另起一行,用 <評估:標籤> 標出使用者這句話的情境(可省略),標籤只能是:${TAGS.join('、')}。不要寫數值。`,
'關鍵技術結論放在最前面或單獨一行,不因角色扮演而含糊。',
]
return `<companion>\n${lines.join('\n')}\n</companion>`
@@ -0,0 +1,92 @@
import { describe, expect, test } from 'claude-code/testing'
import { createCompanion } from './core'
import { fakeClock, memoryFs } from './fs'
import { keywordEvent, MOOD_EVENTS } from './mood'
import { classify, regexTag, RULES } from './rules'
import { extractTag, isTag, stripTag, TAGS } from './tags'
import type { CompanionCore } from './types'
const MIKO: CompanionCore = {
id: 'miko',
name: '月見ミコ',
facts: {
birthday: 'unknown', zodiac: 'unknown', bloodType: 'unknown', hair: 'unknown',
face: 'unknown', height: 'unknown', weight: 'unknown', measurements: 'unknown',
},
neuroticism: 50,
baseline: { p: 0, a: 0, d: 0 },
}
describe('正則', () => {
test('明確情況判出對應標籤,優先序為責罵 > 感謝 > 完成', () => {
expect(regexTag('你很煩')).toBe('scold')
expect(regexTag('謝謝你')).toBe('thanks')
expect(regexTag('tests passed')).toBe('success')
expect(regexTag('謝謝,但你真笨')).toBe('scold')
expect(regexTag('請幫我看一下這個函式')).toBeNull()
})
test('keywordEvent 與舊行為相容', () => {
expect(keywordEvent('thanks a lot')).toBe('thanks')
expect(keywordEvent('hello')).toBeNull()
})
})
describe('白名單', () => {
test('每個標籤都有規則,MOOD_EVENTS 由規則表驅動', () => {
for (const t of TAGS) expect(RULES[t]).toBeDefined()
expect(Object.keys(RULES).length).toBe(TAGS.length)
expect(MOOD_EVENTS).toBe(RULES)
})
test('既有八個心情事件的數值不變', () => {
expect(RULES.thanks).toEqual({ p: 0.15, a: 0.05, d: 0.05 })
expect(RULES.scold).toEqual({ p: -0.2, a: 0.15, d: -0.1 })
expect(RULES.lateNight).toEqual({ p: -0.05, a: -0.1, d: 0 })
})
test('白名單外的標籤被拒絕,也不含戀愛與親密類', () => {
expect(isTag('thanks')).toBe(true)
expect(isTag('kiss')).toBe(false)
expect(isTag(undefined)).toBe(false)
expect(extractTag('好喔 <評估:kiss>')).toBeNull()
for (const t of ['confess', 'flirt', 'praiseLooks', 'seenThrough']) expect(isTag(t)).toBe(false)
})
test('回覆末尾的標籤可取出與移除', () => {
expect(extractTag('好的!\n<評估:amused>')).toBe('amused')
expect(extractTag('<評估:amused> 後面還有字')).toBeNull()
expect(stripTag('好的!\n<評估:amused>')).toBe('好的!')
})
})
describe('缺失退回', () => {
test('正則優先;正則沒判出才用模型標籤;模型標籤缺失或不合法就沒有標籤', () => {
expect(classify('謝謝', 'scold')).toBe('thanks')
expect(classify('今天好累', 'soothe')).toBe('soothe')
expect(classify('今天好累', 'bogus')).toBeNull()
expect(classify('今天好累', undefined)).toBeNull()
})
test('模型補標進入心情;正則已判出時不重複套用;不合法標籤沒有效果', async () => {
const mk = () => createCompanion({ fs: memoryFs(), clock: fakeClock(), root: '/h/.companion', builtins: [MIKO] })
const a = mk()
await a.ensureActivated()
await a.onPrompt('今天好累')
await a.onTurnComplete(false, '辛苦了\n<評估:soothe>')
expect((await a.view())!.mood.p).toBeCloseTo(RULES.soothe.p, 5)
const b = mk()
await b.ensureActivated()
await b.onPrompt('謝謝你')
await b.onTurnComplete(false, '不客氣\n<評估:scold>')
expect((await b.view())!.mood.p).toBeCloseTo(RULES.thanks.p, 5)
const c = mk()
await c.ensureActivated()
await c.onPrompt('今天好累')
await c.onTurnComplete(false, '辛苦了\n<評估:kiss>')
expect((await c.view())!.mood.p).toBe(0)
})
})
@@ -0,0 +1,44 @@
// 規則表:標籤 → 數值增減。所有數值集中在這裡;模型只給標籤,不給數值。
import type { Pad } from './types'
import { isTag, type Tag } from './tags'
export const RULES = {
thanks: { p: 0.15, a: 0.05, d: 0.05 },
scold: { p: -0.2, a: 0.15, d: -0.1 },
success: { p: 0.08, a: 0.03, d: 0.05 },
toolFail: { p: -0.08, a: 0.1, d: -0.08 },
return: { p: 0.1, a: 0.08, d: 0 },
lateNight: { p: -0.05, a: -0.1, d: 0 },
favorite: { p: 0.12, a: 0.08, d: 0.03 },
ignored: { p: -0.05, a: -0.03, d: -0.03 },
praiseSkill: { p: 0.1, a: 0.04, d: 0.06 },
amused: { p: 0.1, a: 0.06, d: 0.02 },
cared: { p: 0.08, a: -0.02, d: -0.02 },
apology: { p: 0.06, a: -0.06, d: 0.03 },
soothe: { p: 0.05, a: -0.08, d: 0.02 },
brushOff: { p: -0.06, a: 0.02, d: -0.04 },
overstep: { p: -0.15, a: 0.12, d: 0.02 },
remembered: { p: 0.08, a: 0.02, d: 0.02 },
selfDisclosure: { p: 0.04, a: 0.03, d: -0.02 },
gladForYou: { p: 0.08, a: 0.05, d: 0 },
liedCaught: { p: -0.18, a: 0.1, d: -0.05 },
brokenPromise: { p: -0.12, a: 0.04, d: -0.08 },
} as const satisfies Record<Tag, Pad>
// 正則先判明確的情況;順序即優先序
const PATTERNS: [Tag, RegExp][] = [
['scold', /笨|白痴|廢物|爛|你很煩|閉嘴|stupid|useless|idiot/i],
['thanks', /謝謝|感謝|太棒|好棒|厲害|讚|thanks?|thank you|great job|awesome/i],
['success', /成功|完成了|通過|搞定|passed|done|fixed/i],
]
/** 以正則判斷使用者文字的標籤;沒有明確情況回 null */
export function regexTag(text: string): Tag | null {
for (const [tag, re] of PATTERNS) if (re.test(text)) return tag
return null
}
/** 正則優先;正則沒判出才用模型補的標籤(須在白名單內),缺失或不合法就是沒有標籤 */
export function classify(text: string, modelTag?: string | null): Tag | null {
return regexTag(text) ?? (isTag(modelTag) ? modelTag : null)
}
@@ -0,0 +1,42 @@
// 評估標籤白名單(第 9.4 章)。模型只能從這裡挑標籤,數值由 rules.ts 決定。
// 不含戀愛與親密類標籤(稱讚外表、被看穿、告白等)。
export const TAGS = [
'thanks', // 被感謝
'scold', // 被罵
'success', // 做完事
'toolFail', // 工具失敗
'return', // 久別回來
'lateNight', // 深夜
'favorite', // 提到喜歡的事物
'ignored', // 被忽略
'praiseSkill', // 稱讚能力
'amused', // 被逗笑
'cared', // 被關心
'apology', // 道歉
'soothe', // 安撫
'brushOff', // 被敷衍
'overstep', // 越界
'remembered', // 被記得
'selfDisclosure', // 自我揭露
'gladForYou', // 為你高興
'liedCaught', // 說謊被發現
'brokenPromise', // 失約
] as const
export type Tag = (typeof TAGS)[number]
const SET: ReadonlySet<string> = new Set(TAGS)
export const isTag = (s: unknown): s is Tag => typeof s === 'string' && SET.has(s)
// 模型於回覆末尾補標,格式:<評估:標籤>
const TAG_AT_END = /<評估:\s*([A-Za-z]+)\s*>\s*$/
/** 取出回覆末尾的標籤;不在白名單或沒有標就回 null(呼叫端退回正則) */
export function extractTag(reply: string): Tag | null {
const m = TAG_AT_END.exec(reply)
return m && isTag(m[1]) ? m[1] : null
}
/** 移除回覆末尾的評估標記 */
export const stripTag = (reply: string) => reply.replace(TAG_AT_END, '').trimEnd()
+1 -1
View File
@@ -75,7 +75,7 @@ export const register: Register = on => {
on('turn.complete', async ($, e, next) => {
replying = false
// 只有主迴圈正常答完、且這輪用過工具,才算做完一件事
if (e.reason === 'answer' && !e.agentId) companion?.onTurnComplete(usedTools).catch(() => {})
if (e.reason === 'answer' && !e.agentId) companion?.onTurnComplete(usedTools, e.answer).catch(() => {})
return next(e)
})