ci / vet-and-test (pull_request) Failing after 34s
Why: I2 increments 1-2 shipped the agent-intent ports (SemanticScorer, CommandGenerator); the backend still had no implementation, so the slow lane could not be enabled in the product. Evidence: go test ./... green; lint-boundaries ok; the two new runtime.intentSemantic / runtime.intentGenerator flags are registered with default false and the gate defaults to the I1 recognizer when both are off (TestIntentSlowLaneFlagsDefaultOff, TestGate*). Impact: no behavior change by default; enabling runtime.intentSemantic routes ambiguous rule matches through embedding cosine scoring, and runtime.intentGenerator lets the lightweight model propose commands on fallback with library-side fail-closed validation. Nested agent-intent pin moves to 343b1e6 (I2 increments 1-2). Refs: I2 increment 3
192 lines
5.4 KiB
Go
192 lines
5.4 KiB
Go
// Package intentgate 接入 agent-intent(生态仓):插件意图 overlay → 注册表 →
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// HITL 自由输入路由的确定性识别(设计 4.5 三分支之「命中其他意图→转轨」)。
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// 未配置/未装载意图 = 行为回退(T0:直接按澄清回填),识别失败不阻断。
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package intentgate
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import (
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"context"
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"encoding/json"
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"fmt"
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"sync"
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agentintent "agent-intent/intent"
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)
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// SlotQuestion 是命中意图后仍缺的必填槽位,以及建议的提问。
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type SlotQuestion struct {
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Key string
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Question string
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}
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// MatchResult 是一次识别。Branch 与 Match 相同。
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type MatchResult struct {
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Branch string
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ID string
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Slots map[string]string
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Missing []SlotQuestion
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// Commands 是库层展开的命令列表(I1);Router 消费它做唯一裁决。
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// guard_hit/expectation_hit 被折叠为 fallback 时为空。
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Commands []Command
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}
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// 命令类型经闸门投影(别名):生态库按边界规则只许本包导入,
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// Router/runmgr 等消费方只依赖本包表面。
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type (
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Command = agentintent.Command
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ActionRef = agentintent.ActionRef
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)
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const (
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CommandStart = agentintent.CommandStart
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ActionAuto = agentintent.ActionAuto
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ActionCommand = agentintent.ActionCommand
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ActionWorkflow = agentintent.ActionWorkflow
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ActionBlueprint = agentintent.ActionBlueprint
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ActionHandler = agentintent.ActionHandler
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)
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type Gate struct {
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mu sync.RWMutex
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reg *agentintent.Registry
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rec *agentintent.FunnelRecognizer
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specs int
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specsByID map[string]agentintent.IntentSpec
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// 慢通道(I2):nil = 不启用(默认,行为与 I1 一致)。
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sem agentintent.SemanticScorer
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semThresh float64
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gen agentintent.CommandGenerator
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}
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func New() *Gate {
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return &Gate{rec: agentintent.NewRecognizer(agentintent.Options{}, nil, nil)}
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}
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// SetSemantic 接线语义打分器(慢通道中位)。识别器随之重建;
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// 传 nil 关闭语义层。阈值 ≤0 用库默认(0.8)。
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func (g *Gate) SetSemantic(s agentintent.SemanticScorer, threshold float64) {
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g.mu.Lock()
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defer g.mu.Unlock()
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g.sem, g.semThresh = s, threshold
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g.rebuildRecognizerLocked()
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}
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// SetGenerator 接线模型命令生成器(慢通道末位)。识别器随之重建;
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// 传 nil 关闭生成层。
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func (g *Gate) SetGenerator(gen agentintent.CommandGenerator) {
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g.mu.Lock()
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defer g.mu.Unlock()
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g.gen = gen
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g.rebuildRecognizerLocked()
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}
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// rebuildRecognizerLocked 按当前慢通道配置重建识别器(调用方持写锁)。
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func (g *Gate) rebuildRecognizerLocked() {
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if g.sem == nil && g.gen == nil {
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g.rec = agentintent.NewRecognizer(agentintent.Options{}, nil, nil)
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return
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}
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g.rec = agentintent.NewRecognizer(agentintent.Options{
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Semantic: g.sem,
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SemanticThreshold: g.semThresh,
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Generator: g.gen,
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}, nil, nil)
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}
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// Rebuild 用插件意图 overlay 重建注册表;失败保留上一快照(fail-closed)并返回错误。
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func (g *Gate) Rebuild(ctx context.Context, overlay []json.RawMessage) error {
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if len(overlay) == 0 {
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g.mu.Lock()
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g.reg, g.specs, g.specsByID = nil, 0, nil
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g.mu.Unlock()
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return nil
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}
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specs := make([]agentintent.IntentSpec, 0, len(overlay))
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for i, raw := range overlay {
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var s agentintent.IntentSpec
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if err := json.Unmarshal(raw, &s); err != nil {
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return fmt.Errorf("intentgate: spec[%d]: %w", i, err)
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}
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specs = append(specs, s)
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}
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b := agentintent.NewRegistryBuilder(agentintent.Options{TopN: 3, NFKC: true})
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if err := b.Register(specs...); err != nil {
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return fmt.Errorf("intentgate: register: %w", err)
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}
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reg, err := b.Build()
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if err != nil {
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return fmt.Errorf("intentgate: build: %w", err)
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}
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byID := make(map[string]agentintent.IntentSpec, len(specs))
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for _, s := range specs {
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byID[s.ID] = s
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}
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g.mu.Lock()
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g.reg, g.specs, g.specsByID = reg, len(specs), byID
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g.mu.Unlock()
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return nil
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}
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// Match 识别自由输入;返回 (branch, topID)。
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// branch:matched | ambiguous | fallback | ""(未配置/系统级错误 → 回退通道)。
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func (g *Gate) Match(ctx context.Context, input string) (string, string) {
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res := g.Recognize(ctx, input)
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return res.Branch, res.ID
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}
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// Recognize 在 Match 的结果上带上槽位和缺失提问。
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func (g *Gate) Recognize(ctx context.Context, input string) MatchResult {
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g.mu.RLock()
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reg, rec, byID := g.reg, g.rec, g.specsByID
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g.mu.RUnlock()
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if reg == nil {
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return MatchResult{}
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}
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res, err := rec.Recognize(ctx, input, reg.Snapshot())
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if err != nil {
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return MatchResult{}
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}
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out := MatchResult{Branch: "fallback"}
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switch res.Branch {
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case agentintent.BranchMatched:
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out.Branch = "matched"
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out.Commands = res.Commands
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case agentintent.BranchAmbiguous:
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out.Branch = "ambiguous"
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}
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if res.Top == nil {
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return out
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}
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out.ID = res.Top.ID
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if len(res.Top.Slots) > 0 {
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out.Slots = map[string]string{}
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for k, v := range res.Top.Slots {
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out.Slots[k] = v
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}
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}
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spec := byID[out.ID]
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for _, key := range res.Top.MissingRequiredSlots {
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q := key
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for _, sl := range spec.Slots {
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if sl.Key == key && sl.Question != "" {
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q = sl.Question
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}
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}
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out.Missing = append(out.Missing, SlotQuestion{Key: key, Question: q})
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}
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return out
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}
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// Enabled 报告是否装载了意图(诊断/设置展示用)。
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func (g *Gate) Enabled() bool {
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g.mu.RLock()
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defer g.mu.RUnlock()
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return g.reg != nil && g.specs > 0
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}
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// SpecCount 返回已装载意图数。
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func (g *Gate) SpecCount() int {
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g.mu.RLock()
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defer g.mu.RUnlock()
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return g.specs
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}
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