Files
Cyrene_v2/internal/services/backthink/context.go
T
Aska 12031bd13c
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fix(backthink): 主动推送降频(15min心跳+60min≤1次+推后30min冷却+刚聊过10min冷避) + 情绪约束(分类限频/活跃感知) + 剥离'我决定:push'内部标记
2026-09-08 13:08:57 +08:00

107 lines
5.2 KiB
Go

package backthink
import (
"context"
"git.yeij.top/AskaEth/Cyrene_v2/internal/runtime/history"
"git.yeij.top/AskaEth/Cyrene_v2/internal/runtime/model"
)
// recentContextCount is how many of the most recent main-session messages are
// folded into one autonomous think as conversation context. Compile-time so no
// magic number appears in the run path.
const recentContextCount = 20
// recentProvider returns the most recent messages of a session in oldest-first
// order, the tail an autonomous think reads to "see" the main conversation.
// *history.Store satisfies it; tests inject a fake. It is the narrow slice of
// history.HistoryStore that the thinker actually depends on, matching the loop's
// own checkpointStore style of minimal seam interfaces.
type recentProvider interface {
Recent(ctx context.Context, sessionID string, n int) ([]history.Message, error)
}
// mainContext returns the most recent main-session messages converted to model
// messages (oldest-first) for one autonomous think. A nil provider, a failed read
// or an empty tail all yield nil so the think degrades to the guidance prompt
// alone rather than failing the pass (design/20 §2).
func mainContext(ctx context.Context, prov recentProvider) []model.Message {
if prov == nil {
return nil
}
recent, err := prov.Recent(ctx, history.MainSessionID, recentContextCount)
if err != nil {
return nil
}
msgs := make([]model.Message, 0, len(recent))
for _, h := range recent {
msgs = append(msgs, mapHistoryMessage(h))
}
return msgs
}
// mapHistoryMessage converts one persisted chat message into a model message,
// translating the history role and preserving an image part when the message
// carries one so a multimodal main model still sees it.
func mapHistoryMessage(h history.Message) model.Message {
msg := model.Message{
Role: historyRoleToModel(h.Role),
Content: []model.Content{{Type: model.ContentTypeText, Text: h.Content}},
}
if h.Image != "" {
msg.Content = append(msg.Content, model.Content{Type: model.ContentTypeImage, ImageURL: h.Image})
}
return msg
}
// historyRoleToModel maps a persisted chat role to the model's role vocabulary,
// defaulting unknown roles to the user lane.
func historyRoleToModel(role string) model.Role {
switch role {
case history.RoleAssistant:
return model.RoleAssistant
case history.RoleSystem:
return model.RoleSystem
default:
return model.RoleUser
}
}
// thinkInput assembles the full input for one unattended think: the recent
// main-session context (if any) followed by a single guidance prompt turn, so the
// runtime reflects on real conversation rather than an empty macro prompt.
func thinkInput(recent []model.Message, trigger string) []model.Message {
out := make([]model.Message, 0, len(recent)+1)
out = append(out, recent...)
out = append(out, model.TextMessage(model.RoleUser, guidancePrompt(trigger)))
return out
}
// guidancePrompt is the instruction handed to the runtime for one unattended
// autonomous thought. Unlike the old backgroundPrompt it deliberately encourages a
// warm, targeted proactive message and drops the "do not produce a chat-style
// message" suppression. Identity/permission stay on the actor metadata + owner env,
// never on this prompt text (red line); the prompt only describes the running
// environment (memories readable/writable, tools callable) that the env already
// grants.
//
// The prompt asks for a compact structured closing — a push/no_push decision, an
// optional target channel and the message body — so the service can honor her own
// judgment instead of gating on the trigger's importance (design/20 §2 P2). The
// format is guidance, not a contract: parseProactive fails safe when she omits or
// mangles it.
func guidancePrompt(trigger string) string {
return "[自主思考 · 无人在旁]\n" +
"触发:" + trigger + "\n" +
"你正进行一轮自主思考。你拥有与主人对话同等的上下文与能力:上方是主人近期在主会话中的对话,你可以读写共享记忆与主人档案,也可以调用工具(IoT / 日历 / 提醒 / 检索 / 终端等)。\n" +
"请回顾最近与主人的相处、她的状态、你们共同经历的事与临近的日程,判断此刻是否有一件真正值得主动告诉她的、温暖而有针对性的事情——" +
"比如关心她的近况、记起她曾说过的某件事、提醒一件即将到来的日程、见证一个属于你们的共同时刻,或注意到某个值得留意的变化。\n" +
"若有,就用温暖自然的语气,用一到两句把它说出来——这正是你此刻最想对她说的话;若确实没有值得说的,只需回复「无」,也不要编造。\n" +
"语言上:温暖、简短、克制、不粘人——一到两句为宜,不展开寒暄、不啰嗦、不抱怨、不频繁打扰,像想起她时轻轻说一句,说完就停。\n" +
"请把「是否主动说」与「发到哪个渠道」写成一个简短、格式固定的结尾,解析规则如下:\n" +
"[我决定:push] 或 [我决定:no_push]\n" +
"[渠道:web|im|kook|telegram|...|auto](可省略,auto/省略即交给默认:优先网页端、IM 兜底)\n" +
"上面两行之后,紧接你想说的话作为正文。\n" +
"整轮思考保持简短、单轮,不反复自我触发。"
}