mirror of
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35 lines
1.7 KiB
TypeScript
35 lines
1.7 KiB
TypeScript
export type AgentRuntimeMemoryEntry = {
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title: string
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detail: string
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}
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function clean(value: unknown, limit: number): string {
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return String(value ?? '').replace(/\u0000/g, '').trim().slice(0, limit)
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}
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export function mergeAgentRuntimeMemoryEntries(
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existing: AgentRuntimeMemoryEntry[],
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incoming: AgentRuntimeMemoryEntry[],
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limit = 12,
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): AgentRuntimeMemoryEntry[] {
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const byTitle = new Map<string, AgentRuntimeMemoryEntry>()
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for (const candidate of [...existing, ...incoming]) {
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const title = clean(candidate?.title, 80)
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const detail = clean(candidate?.detail, 4_000)
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if (!title || !detail) continue
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byTitle.set(title.toLocaleLowerCase(), { title, detail })
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}
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return Array.from(byTitle.values()).slice(-Math.max(1, Math.min(12, Math.floor(limit || 12))))
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}
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export function agentRuntimeMemoryGuidance(entries: AgentRuntimeMemoryEntry[]): string {
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const normalized = mergeAgentRuntimeMemoryEntries([], entries)
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if (normalized.length === 0) return ''
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return [
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'以下是你已经主动按标题读取、并判断可能与本轮相关的个人记忆详情。',
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'先区分其中的内容性质：回答方式、沟通边界、格式和工作方法属于个性化行为规则；它们与当前请求的触发条件相符时必须实际执行，不能只提到读过、随后仍按默认习惯回答。若当前用户消息明确改变了要求，以当前消息为准。',
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'人物、事件、时间、数量和当前状态仍然只是检索线索，不能因出现在记忆里就当成事实。行为规则的执行若依赖这些事实，应继续读取必要的一手材料，然后按该规则完成回答，而不是用泛化追问代替。',
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`已读取记忆：${JSON.stringify(normalized)}`,
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].join('\n')
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}
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