Files
Cyrene_v2/internal/runtime/loop/run.go
T
AskaEth 1a85de555d
CI / Backend (build / vet / test / cross-compile) (push) Has been cancelled
CI / Frontend (tsc + vite build) (push) Has been cancelled
feat(emotion): A1 情绪系统接线 + refactor: 拆分 channelbridge.go
A1 情绪接线:
- loop 回合边界钩子(TurnEnd/OnTurnEnd/settleTurn, Result.Mood); 每轮一次非每步
- persona/emotion: React(valence五档) + Machine.Move(BFS最短合法路径一步) + Observer(observe/decay/好感度,仅变化才emit); 好感度步长读角色配置(cyrene delta=10, 0..700)
- 落库 Mood(web session_persist.res.Mood + IM channelbridge/persist; user消息不带mood); WS mood事件(BroadcastMood,仅变化); per-persona隔离; 群聊/陌生人只读不写不发
- cmd/cyrene/emotion.go 生产接线 + wire.go 注入 loop.Options.OnTurnEnd
- 22 测试(状态机被loop调用/Mood非空落库/mood帧shape/只变化才发/群聊只读) + 真二进制冒烟
- Docs: api-client v0.32 §3.7 情绪事件 + 开源对照清单(companion 应用对照)
- 诚实: 本机无LLM凭据→未活体验证'模型返回后完整轮次'一环

拆分 channelbridge.go 816→257(纯搬移零逻辑): connect/inbound/outbound/blacklist/helpers.go; A1 的 IM mood 调用点落在新 inbound.go, 故与本提交同批

回滚 6 个 gofmt 顺手格式化文件(capacity_loop_test/flow/source_test/findchannel_test/admin_channels_platform_test/history) 缩 diff, 含 history.go 注释被转弯引号
2026-09-30 08:51:38 +08:00

121 lines
5.0 KiB
Go

package loop
import (
"context"
"fmt"
"git.yeij.top/AskaEth/Cyrene_v2/internal/runtime/agent"
"git.yeij.top/AskaEth/Cyrene_v2/internal/runtime/capacity"
"git.yeij.top/AskaEth/Cyrene_v2/internal/runtime/model"
"git.yeij.top/AskaEth/Cyrene_v2/internal/runtime/trace"
)
// Run drives the agent loop: assemble a fresh model-visible context every round
// (re-inject relevant memory from the current conversation, optionally compacting
// the older turns when the context exceeds the configured budget), then run up to
// MaxRounds steps. Each step runs the model (streaming through OnStream when
// configured) and any requested tool calls are executed under a per-invoke
// timeout and fed back as RoleTool messages so the model can continue.
// A checkpoint is persisted at every step, every step is traced as a
// state_transition span (with an llm_call child and tool_call spans for each
// invocation), and after each step the memory Extractor runs with errors logged
// rather than fatal.
//
// When a turn settles with a Result, the OnTurnEnd hook is called once for that
// turn (never per step) and its mood label is recorded on Result.Mood, so the
// layers around the loop can advance persona state and tag the persisted reply.
//
// It returns the final answer, or a partial Result with StopReasonMaxRounds when
// the budget is exhausted without a final answer. Step errors are wrapped with %w
// so callers can classify them with errors.Is.
func (l *Loop) Run(ctx context.Context, sessionID string, messages []model.Message) (*Result, error) {
if ctx == nil {
ctx = context.Background()
}
if l.agent == nil {
return nil, fmt.Errorf("loop: run: %w", ErrNilAgent)
}
// Seed the per-Run capacity accumulator at quiet so the state can progress
// (quiet→awake→full) across a multi-step tool loop; a nil/disabled decider
// leaves it unused. It is scoped to this Run, so concurrent runs never share.
// The session id rides the same context so a capacity_awaken emission can be
// targeted to the session that produced it (design/14 §5).
ctx = withCapState(ctx, &capStateAccum{state: capacity.StateQuiet})
ctx = withLoopSession(ctx, sessionID)
// Resume an interrupted run (design §1 durable execution): when the session
// has a resumable checkpoint, rebuild its context and continue at the next
// step rather than restarting from a fresh conversation. A different
// sessionID — or a checkpoint left by a completed run — falls through to a
// fresh start (LoadLatest misses, or the stop reason is not resumable).
msgs, startStep, _ := l.loadCheckpoint(ctx, sessionID, messages)
msgs = l.resolveImages(ctx, msgs)
toolState := &toolLoopState{prevFP: make(map[string]bool)}
res := &Result{}
if l.flow != nil {
l.flow.StartRound(sessionID, lastUserText(msgs))
defer func() { l.flow.EndRound(sessionID, res.Text) }()
}
for step := startStep; step <= l.maxRounds; step++ {
if err := ctx.Err(); err != nil {
return nil, fmt.Errorf("loop: run: step %d: %w", step, err)
}
// Compact older turns when the conversation exceeds the context budget,
// then assemble the model-visible context for this round (fresh memory
// injection + transform hook), so every step sees an up-to-date context.
msgs = l.compactIfNeeded(ctx, msgs)
view := l.assembleContext(ctx, msgs, step)
rc, roundSpan := l.span(ctx, "loop.step", trace.SpanKindStateTransition)
outcome, err := l.step(rc, sessionID, view)
if err != nil {
l.spanProp(roundSpan, "error", err.Error())
l.finishSpan(roundSpan, trace.SpanStatusError)
return nil, fmt.Errorf("loop: run: step %d: %w", step, err)
}
l.spanProp(roundSpan, "step", step)
l.spanProp(roundSpan, "stop_reason", outcome.stopReason)
l.finishSpan(roundSpan, trace.SpanStatusOK)
res.Steps = step
if outcome.final {
res.Text = outcome.text
res.StopReason = outcome.stopReason
l.saveCheckpoint(ctx, sessionID, step, msgs, outcome.stopReason)
l.extractMemory(ctx, msgs, step)
l.settleTurn(ctx, sessionID, msgs, res)
return res, nil
}
batch, err := l.runToolCalls(rc, msgs, outcome.toolCalls, toolState)
if err != nil {
return nil, fmt.Errorf("loop: run: step %d: tools: %w", step, err)
}
msgs = batch.messages
res.ToolCallsExecuted += batch.executed
l.saveCheckpoint(ctx, sessionID, step, msgs, agent.StopReasonToolCalls)
l.extractMemory(ctx, msgs, step)
// The critical-tool-loop safety net (or a terminating hook) stops the
// round without waiting for a real final answer.
if batch.terminate {
res.Text = criticalToolLoopTerminalReason
res.StopReason = StopReasonToolLoopTerminated
l.saveCheckpoint(ctx, sessionID, step, msgs, StopReasonToolLoopTerminated)
l.extractMemory(ctx, msgs, step)
l.settleTurn(ctx, sessionID, msgs, res)
return res, nil
}
}
// Budget exhausted without a final answer.
res.Steps = l.maxRounds
res.StopReason = StopReasonMaxRounds
l.saveCheckpoint(ctx, sessionID, l.maxRounds, msgs, StopReasonMaxRounds)
l.extractMemory(ctx, msgs, l.maxRounds)
l.settleTurn(ctx, sessionID, msgs, res)
return res, nil
}