Files
sundynix-agentix/sundynix-dispatcher/internal/eino/compose_graph.go
T
Blizzard ef6f525a74 refactor(dispatcher): T1.1 退役 graph.go —— 编排引擎收成单一 compose
compose 已默认数天、HITL/多智能体/评测全在其上真实跑过,soak 充分。删掉自研拓扑
解释器这第二套引擎,消灭"双实现 drift"税:

- 删 runGraph(graph.go 的自研解释器)+ composeEnabled/EINO_COMPOSE 逃生舱开关
  + runConversation(仅 runGraph 用的死代码)。
- executeGraph 直接走 runComposeGraph;compose 编译失败兜底改单轮对话(不再回退
  graph.go);清掉仅 runGraph 用的 import(otel attribute/trace/otelx)。
- 保留 board / 各节点执行器(retriever/tool/agent/branch/approval/map/render/aggregate)
  / 工具函数 —— 它们是 compose 各节点 lambda 复用的,非 graph.go 专属。
- 测试:8 处 runGraph→runComposeGraph;等价测试(对照两引擎)转为 compose 正确性测试;
  runConversation 的开关测试转为「无 ChatModel 降级 runAgent」。

go test ./... 全绿 + vet 干净;冒烟 简单 agent/分支图 跑通。此后每个编排改动不再两边
对齐,成本减半。DEPTH_ROADMAP T1.1 。

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-30 08:53:02 +08:00

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package eino
import (
"context"
"fmt"
"io"
"strings"
"time"
"github.com/cloudwego/eino/compose"
"github.com/cloudwego/eino/schema"
"github.com/sundynix/sundynix-dispatcher/internal/harness"
)
// runComposeConversation 用 Eino compose.Graph 跑对话主流程:
// START → ChatModel 节点 → END,编译为 Runnable 后流式执行;可观测经 callbacks 桥到 ExecEvent。
// 模型未就绪 / 编译失败时降级回 runAgent(同样的流式回流,保证不回归)。
func (o *Orchestrator) runComposeConversation(ctx context.Context, taskID string, b *board, system string, tr *execTracer, node string) {
cm := o.pool.ChatModel()
if cm == nil {
o.runAgent(ctx, taskID, b, system, tr, node) // 无模型 → 降级桩
return
}
g := compose.NewGraph[[]*schema.Message, *schema.Message]()
if err := g.AddChatModelNode("model", cm); err != nil {
tr.info(node, "system", "compose 降级", "建图失败,退回自研路径:"+err.Error())
o.runAgent(ctx, taskID, b, system, tr, node)
return
}
_ = g.AddEdge(compose.START, "model")
_ = g.AddEdge("model", compose.END)
r, err := g.Compile(ctx)
if err != nil {
tr.info(node, "system", "compose 降级", "编译失败,退回自研路径:"+err.Error())
o.runAgent(ctx, taskID, b, system, tr, node)
return
}
rc := &RunCtx{
UserID: b.uid, SessionID: b.sid,
System: firstNonEmpty(system, defaultAgentSystem),
Query: b.query,
Profile: b.profile,
History: b.history,
ToolOut: append(append([]string{}, b.toolOut...), b.refs...),
Upstream: append([]string{}, b.agentOut...), // 前序协作 agent 产出 → 接力
}
msgs, _ := buildMessages(ctx, rc)
// 成本护栏:计入输入 token;触顶则中止整图。
if bud := harness.BudgetFrom(ctx); bud != nil {
for _, m := range msgs {
bud.AddPrompt(m.Content)
}
if bud.Exceeded() {
if b.fatalErr == nil {
b.fatalErr = errBudget
}
tr.emit(node, "system", "error", "token 预算", "已达单任务预算上限,中止", 0)
return
}
}
t0 := time.Now()
// ChatModel 的 start/end 由 composeTracercallbacks)落轨迹,这里不再手写 emit(归一)。
sr, err := r.Stream(ctx, msgs, compose.WithCallbacks(composeTracer(tr, node)))
if err != nil {
tr.emit(node, "model", "error", "compose 图执行", err.Error(), time.Since(t0).Milliseconds())
if b.fatalErr == nil { // 模型失败 → 标记致命错,让任务判 failed(对齐 runAgent,杜绝 done-空)
b.fatalErr = fmt.Errorf("agent 模型推理失败: %w", err)
}
return
}
defer sr.Close()
chunks := 0
var produced strings.Builder // 本节点产出(供下游 agent 接力)
red := harness.NewStreamRedactor() // 输出护栏:跨分片脱敏,杜绝密钥被切断而漏检
emit := func(safe string) {
if safe == "" {
return
}
_ = o.sink.PublishToken(taskID, []byte(safe))
produced.WriteString(safe)
chunks++
}
for {
chunk, rerr := sr.Recv()
if rerr == io.EOF {
break
}
if rerr != nil {
tr.emit(node, "model", "error", "compose 图执行", rerr.Error(), time.Since(t0).Milliseconds())
if b.fatalErr == nil { // 流式中断也算失败(结果不完整)→ 判 failed,不静默 done-空
b.fatalErr = fmt.Errorf("agent 模型推理失败: %w", rerr)
}
return
}
if chunk.Content == "" {
continue
}
emit(red.Push(chunk.Content))
}
emit(red.Flush()) // 吐出暂留尾部
if bud := harness.BudgetFrom(ctx); bud != nil {
bud.AddComplete(produced.String()) // 成本护栏:计入输出 token
}
o.recordAgentOutput(b, produced.String())
tr.info(node, "system", "compose 图", fmt.Sprintf("%d 段输出 / %d 字(Eino compose 运行时)", chunks, len([]rune(produced.String()))))
}