A2 异步记忆提取:
- loop/memory.go: asyncExtractor接口(ExtractAsync)+extractMemoryAsync(60s超时,WithOutCancel,dispatch即返回,后台落库,失败仅Warn)+persistMemories共用
- run.go 三个回合落定点改异步提取; 删除run.go逐步提取(design/03'每轮后', 避免多轮工具N次LLM调用/重复写)
- cmd/cyrene/extractor.go buildMemoryExtractor: llmGroupUsable为真→LLMExtractor, 否则回落ManualExtractor(日志说明); keylessEndpoint放行loopback/私网
A4 可观测性 Tracing:
- cmd/cyrene/observability.go: newAppTraceWriter+traceFanout(多sink)+gatewaySpanSink(走gw.ObserveSpan,喂环形缓冲+LLM/subagent指标)
- wire.go 注入; 未改trace/gateway数据结构
A6 通知后端:
- internal/services/gateway/notifications.go(311行): GET /admin/notifications?type=&before=&limit= (adminAuth)
- 聚合已有源(obs.audit SQLite + s.backthink), createdAt倒序, id=source:id; 类型派生(channel/system/audit/backthink); 无新建表/无新Deps/wire零改动
- 诚实: backthink仅shouldPush计, 未注入源为空, 报错500, 未读游标后置
- 契约与前端Y一致: {id,type,title,body,source,createdAt}, before含游标(<=), type未知400
- Docs/api-client v0.33
全仓 build/vet/test绿(56包)+win/darwin/linux-arm64交叉编译绿; 新增测试(memory_async/extractor/observability/notifications)
122 lines
5.1 KiB
Go
122 lines
5.1 KiB
Go
package loop
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import (
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"context"
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"fmt"
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"git.yeij.top/AskaEth/Cyrene_v2/internal/runtime/agent"
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"git.yeij.top/AskaEth/Cyrene_v2/internal/runtime/capacity"
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"git.yeij.top/AskaEth/Cyrene_v2/internal/runtime/model"
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"git.yeij.top/AskaEth/Cyrene_v2/internal/runtime/trace"
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)
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// Run drives the agent loop: assemble a fresh model-visible context every round
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// (re-inject relevant memory from the current conversation, optionally compacting
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// the older turns when the context exceeds the configured budget), then run up to
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// MaxRounds steps. Each step runs the model (streaming through OnStream when
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// configured) and any requested tool calls are executed under a per-invoke
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// timeout and fed back as RoleTool messages so the model can continue.
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// A checkpoint is persisted at every step, every step is traced as a
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// state_transition span (with an llm_call child and tool_call spans for each
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// invocation), and when the turn settles the memory Extractor runs over the
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// turn's conversation (design/03 §1: the LLM extractor on a background
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// goroutine, so extraction never delays the reply) with errors logged rather
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// than fatal.
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//
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// When a turn settles with a Result, the OnTurnEnd hook is called once for that
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// turn (never per step) and its mood label is recorded on Result.Mood, so the
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// layers around the loop can advance persona state and tag the persisted reply.
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//
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// It returns the final answer, or a partial Result with StopReasonMaxRounds when
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// the budget is exhausted without a final answer. Step errors are wrapped with %w
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// so callers can classify them with errors.Is.
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func (l *Loop) Run(ctx context.Context, sessionID string, messages []model.Message) (*Result, error) {
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if ctx == nil {
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ctx = context.Background()
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}
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if l.agent == nil {
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return nil, fmt.Errorf("loop: run: %w", ErrNilAgent)
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}
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// Seed the per-Run capacity accumulator at quiet so the state can progress
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// (quiet→awake→full) across a multi-step tool loop; a nil/disabled decider
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// leaves it unused. It is scoped to this Run, so concurrent runs never share.
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// The session id rides the same context so a capacity_awaken emission can be
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// targeted to the session that produced it (design/14 §5).
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ctx = withCapState(ctx, &capStateAccum{state: capacity.StateQuiet})
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ctx = withLoopSession(ctx, sessionID)
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// Resume an interrupted run (design §1 durable execution): when the session
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// has a resumable checkpoint, rebuild its context and continue at the next
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// step rather than restarting from a fresh conversation. A different
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// sessionID — or a checkpoint left by a completed run — falls through to a
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// fresh start (LoadLatest misses, or the stop reason is not resumable).
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msgs, startStep, _ := l.loadCheckpoint(ctx, sessionID, messages)
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msgs = l.resolveImages(ctx, msgs)
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toolState := &toolLoopState{prevFP: make(map[string]bool)}
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res := &Result{}
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if l.flow != nil {
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l.flow.StartRound(sessionID, lastUserText(msgs))
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defer func() { l.flow.EndRound(sessionID, res.Text) }()
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}
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for step := startStep; step <= l.maxRounds; step++ {
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if err := ctx.Err(); err != nil {
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return nil, fmt.Errorf("loop: run: step %d: %w", step, err)
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}
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// Compact older turns when the conversation exceeds the context budget,
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// then assemble the model-visible context for this round (fresh memory
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// injection + transform hook), so every step sees an up-to-date context.
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msgs = l.compactIfNeeded(ctx, msgs)
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view := l.assembleContext(ctx, msgs, step)
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rc, roundSpan := l.span(ctx, "loop.step", trace.SpanKindStateTransition)
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outcome, err := l.step(rc, sessionID, view)
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if err != nil {
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l.spanProp(roundSpan, "error", err.Error())
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l.finishSpan(roundSpan, trace.SpanStatusError)
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return nil, fmt.Errorf("loop: run: step %d: %w", step, err)
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}
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l.spanProp(roundSpan, "step", step)
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l.spanProp(roundSpan, "stop_reason", outcome.stopReason)
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l.finishSpan(roundSpan, trace.SpanStatusOK)
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res.Steps = step
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if outcome.final {
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res.Text = outcome.text
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res.StopReason = outcome.stopReason
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l.saveCheckpoint(ctx, sessionID, step, msgs, outcome.stopReason)
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l.extractMemoryAsync(ctx, msgs, step)
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l.settleTurn(ctx, sessionID, msgs, res)
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return res, nil
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}
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batch, err := l.runToolCalls(rc, msgs, outcome.toolCalls, toolState)
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if err != nil {
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return nil, fmt.Errorf("loop: run: step %d: tools: %w", step, err)
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}
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msgs = batch.messages
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res.ToolCallsExecuted += batch.executed
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l.saveCheckpoint(ctx, sessionID, step, msgs, agent.StopReasonToolCalls)
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// The critical-tool-loop safety net (or a terminating hook) stops the
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// round without waiting for a real final answer.
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if batch.terminate {
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res.Text = criticalToolLoopTerminalReason
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res.StopReason = StopReasonToolLoopTerminated
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l.saveCheckpoint(ctx, sessionID, step, msgs, StopReasonToolLoopTerminated)
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l.extractMemoryAsync(ctx, msgs, step)
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l.settleTurn(ctx, sessionID, msgs, res)
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return res, nil
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}
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}
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// Budget exhausted without a final answer.
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res.Steps = l.maxRounds
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res.StopReason = StopReasonMaxRounds
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l.saveCheckpoint(ctx, sessionID, l.maxRounds, msgs, StopReasonMaxRounds)
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l.extractMemoryAsync(ctx, msgs, l.maxRounds)
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l.settleTurn(ctx, sessionID, msgs, res)
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return res, nil
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}
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