Files
sundynix-agentix/sundynix-dispatcher/internal/eino/graph.go
T
Blizzard fa2e2ebeeb feat(dispatcher): Eino 采纳 Phase B —— ReAct 智能体 + MCP 工具自主调用
agent 节点带 autonomous:true 时走 ReAct(flow/agent/react),模型在
推理-工具循环里自行决定调哪些 MCP 工具,而非只跑画死的工具节点。

- 新增 eino/react_agent.go:mcpTool 把 MCP 工具(NATS)适配成
  components/tool.InvokableTool;agentTools 暴露 wiki_search +
  recall_user_memory(context 参数 user_id 服务端注入,不暴露给模型);
  runReactAgent 流式回流答复,工具调用经适配器落 ExecEvent 轨迹。
- LLM 接口 + *llm.Pool 增 ToolCallingModel()(openai 组件实现
  model.ToolCallingChatModel);fakeLLM 同步桩(返回 nil → 降级普通对话)。
- graph.go:agent 节点按 autonomous 开关分流 ReAct / 普通;自主 agent
  不预注入画像(让其经 recall_user_memory 工具按需自取)。

关键修复:默认 StreamToolCallChecker 只看首个流片段,deepseek 常先吐
文本再给 tool call 致漏判 → 改 streamHasToolCall 扫整段流(命中率 ~0→7/7)。

验收:自主工具调用 7/7 命中,args={} 证明注入生效,完整闭环跑通;
make test-go 全绿。已知 eval 看不到工具结果会误判 agent(Phase C 修)。

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-22 17:35:19 +08:00

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package eino
import (
"context"
"fmt"
"strconv"
"strings"
"time"
"github.com/cloudwego/eino/schema"
"github.com/sundynix/sundynix-dispatcher/internal/dsl"
"github.com/sundynix/sundynix-dispatcher/internal/harness"
"github.com/sundynix/sundynix-shared/contract"
)
// defaultAgentSystem 是 agent 节点未填系统提示词时的兜底。
const defaultAgentSystem = "你是 sundynix-agentix 平台的 AI 助手。"
// board 是图执行的"黑板":节点按拓扑序流转时读写它。
type board struct {
uid, sid string
query string
profile string
history []*schema.Message
kb string // 最近一个检索节点的 owner 作用域库名(供 map 并行各项检索)
refs []string // 检索 / 聚合得到的参考资料
toolOut []string // 工具节点产出
sections []reportSection // map 并行 fan-out 产出的分项成稿(供 render 多章渲染)
answer string // 终端 agent / map 的成稿(流式累计)
}
// runGraph 按 DSL 图的真实拓扑与连线执行(替代旧的线性拍平 compileFlow)。
//
// 入度0 入口 → 沿连线传播 active → 每个节点按 kind 执行真实行为 →
// branch 按条件只激活选中的下游(剪枝)→ agent 节点流式回流 token。
//
// 逐节点点亮"运行·观测"。返回终端 agent 的完整产出(供写回历史)。
func (o *Orchestrator) runGraph(ctx context.Context, t *contract.Task, tr *execTracer) (string, error) {
flow, ferr := dsl.Parse(t.Graph)
plan := dsl.Compile(t.Graph)
b := &board{
uid: meta(t, contract.MetaUserID),
sid: meta(t, contract.MetaSessionID),
query: plan.Query,
}
// 无法解析或空图:退化为"无图单轮对话"(注入默认记忆 + 直接出模型)。
if ferr != nil || flow == nil || len(flow.Nodes) == 0 {
tr.info("task", "system", "无结构化图", "按单轮对话执行")
b.profile = o.fetchMemory(ctx, b.uid, b.query)
b.history = o.fetchHistory(ctx, b.sid)
o.runAgent(ctx, t.ID, b, plan.System, tr, "agent")
return b.answer, nil
}
// 建邻接与入度(只认两端都存在的边)。保留整条边以便 branch 按 true/false 标签选路。
nodeByID := make(map[string]dsl.Node, len(flow.Nodes))
outE := make(map[string][]dsl.Edge)
indeg := make(map[string]int, len(flow.Nodes))
for _, n := range flow.Nodes {
nodeByID[n.ID] = n
indeg[n.ID] = 0
}
for _, e := range flow.Edges {
if _, ok := nodeByID[e.Source]; !ok {
continue
}
if _, ok := nodeByID[e.Target]; !ok {
continue
}
outE[e.Source] = append(outE[e.Source], e)
indeg[e.Target]++
}
// 入口节点(入度 0)置 active;执行时沿连线把下游激活,branch 只激活选中分支。
active := make(map[string]bool)
for _, n := range flow.Nodes {
if indeg[n.ID] == 0 {
active[n.ID] = true
}
}
// 图里没有 memory 节点 → 沿用旧默认:注入画像+历史(避免回归)。
hasMemory := false
for _, n := range flow.Nodes {
if n.Kind == "memory" {
hasMemory = true
break
}
}
if !hasMemory {
b.profile = o.fetchMemory(ctx, b.uid, b.query)
b.history = o.fetchHistory(ctx, b.sid)
}
for _, n := range flow.Topo() {
if !active[n.ID] {
continue // 被 branch 剪掉的下游,不执行
}
propagate := targetsOf(outE[n.ID]) // 默认激活全部出边;branch 会改写
switch n.Kind {
case "input":
if txt := cstr(n.Config, "text"); txt != "" {
b.query = txt
}
tr.info("input:"+n.ID, "system", labelOf(n, "输入"), truncate(b.query, 80))
case "memory":
if cbool(n.Config, "profile") {
b.profile = o.fetchMemory(ctx, b.uid, b.query)
}
if cbool(n.Config, "history") {
b.history = o.fetchHistory(ctx, b.sid)
}
tr.info("memory:"+n.ID, "memory", labelOf(n, "记忆"),
fmt.Sprintf("画像 %d 字 · 历史 %d 条", len([]rune(b.profile)), len(b.history)))
case "retriever":
o.retrieverNode(ctx, n, b, tr)
case "tool":
o.execToolNode(ctx, t.ID, n, b, tr)
case "agent":
sys := firstNonEmpty(cstr(n.Config, "system"), plan.System)
if cbool(n.Config, "autonomous") { // 开启自主工具 → ReAct(模型自己选工具)
o.runReactAgent(ctx, t.ID, b, sys, n, tr, "agent:"+n.ID)
} else {
o.runAgent(ctx, t.ID, b, sys, tr, "agent:"+n.ID)
}
case "aggregate":
merged := aggregate(cstr(n.Config, "strategy"), append(append([]string{}, b.refs...), b.toolOut...))
b.refs, b.toolOut = merged, nil
tr.info("aggregate:"+n.ID, "system", labelOf(n, "汇聚"), "策略:"+firstNonEmpty(cstr(n.Config, "strategy"), "拼接"))
case "render":
o.renderNode(ctx, t.ID, n, b, tr)
case "branch":
propagate = o.branchNode(n, b, outE[n.ID], nodeByID, tr)
case "map":
o.mapNode(ctx, t.ID, n, b, tr)
case "output":
tr.info("output:"+n.ID, "system", labelOf(n, "输出"), "目标:"+firstNonEmpty(cstr(n.Config, "target"), "屏幕"))
default:
tr.info(n.Kind+":"+n.ID, "system", labelOf(n, n.Kind), "未识别节点,跳过")
}
for _, tgt := range propagate {
active[tgt] = true
}
}
// 图里无 agent 节点(纯工具/检索图)也要出一段模型答复,否则没有输出。
if b.answer == "" {
o.runAgent(ctx, t.ID, b, plan.System, tr, "agent")
}
return b.answer, nil
}
// retrieverNode 执行检索节点:kb 按 owner 作用域 → kb_search → 累计参考资料。
func (o *Orchestrator) retrieverNode(ctx context.Context, n dsl.Node, b *board, tr *execTracer) {
kb := cstr(n.Config, "kb")
scoped := kb
if b.uid != "" && kb != "" && !strings.Contains(kb, "/") {
scoped = b.uid + "/" + kb
}
if scoped != "" {
b.kb = scoped // 记下作用域库名,供后续 map 并行各项检索复用
}
end := tr.span("retriever:"+n.ID, "tool", labelOf(n, "检索"))
refs := o.retrieve(ctx, scoped, b.query)
if refs != "" {
b.refs = append(b.refs, refs)
}
end(fmt.Sprintf("kb=%s · 命中 %d 段", firstNonEmpty(kb, "(未指定)"), countLines(refs)), nil)
}
// mapNode 执行并行 fan-out:把主题拆成若干项,各项有界并发撰写(复用 report 的 writeSections),
// 成稿存入黑板(结构化 sections + 拼进 answer),并流式呈现进度。
func (o *Orchestrator) mapNode(ctx context.Context, taskID string, n dsl.Node, b *board, tr *execTracer) {
end := tr.span("map:"+n.ID, "plan", labelOf(n, "并行 fan-out"))
items := o.planItems(ctx, b.query, cstr(n.Config, "splitBy"))
end(fmt.Sprintf("拆出 %d 项:%s", len(items), strings.Join(items, " / ")), nil)
o.emit(taskID, fmt.Sprintf("\n> 并行处理 %d 项…\n\n", len(items)))
secs := o.writeSections(ctx, b.query, b.kb, items, tr) // 有界并发,trace 出 section:i 各项
b.sections = secs
for _, s := range secs {
chunk := "## " + s.Heading + "\n\n" + s.Body + "\n\n"
o.emit(taskID, chunk)
b.answer += chunk
b.refs = append(b.refs, s.Heading+""+s.Body)
}
}
// execToolNode 执行工具节点:调 MCP 工具,产出累计进黑板;失败降级不阻断。
func (o *Orchestrator) execToolNode(ctx context.Context, taskID string, n dsl.Node, b *board, tr *execTracer) {
tool, args := dsl.ToolBinding(n)
if tool == "" {
return
}
node := "tool:" + tool
if o.tools == nil {
tr.info(node, "tool", "工具 "+tool, "工具总线未接入,跳过")
return
}
call := map[string]any{}
for k, v := range args {
call[k] = v
}
if call["q"] == nil && call["query"] == nil {
call["q"] = b.query
}
if b.uid != "" {
if kbv, ok := call["kb"].(string); ok && kbv != "" && !strings.Contains(kbv, "/") {
call["kb"] = b.uid + "/" + kbv
}
}
end := tr.span(node, "tool", "调用工具 "+tool)
cctx, cancel := context.WithTimeout(ctx, toolCallTimeout)
defer cancel()
res, err := o.tools.CallTool(cctx, contract.ToolSubjectGo(tool), &contract.ToolCall{Tool: tool, TaskID: taskID, Args: call})
if err != nil {
end("调用失败,降级跳过", err)
return
}
if res == nil || !res.OK || res.Content == "" {
end("无结果,降级跳过", nil)
return
}
end("入参 "+previewArgs(call)+" → 产出 "+truncate(res.Content, 160), nil)
b.toolOut = append(b.toolOut, "["+tool+"] "+res.Content)
}
// runAgent 执行 agent/模型节点:据黑板拼消息 → 流式回流 token → 累计成稿。
func (o *Orchestrator) runAgent(ctx context.Context, taskID string, b *board, system string, tr *execTracer, node string) {
rc := &RunCtx{
System: firstNonEmpty(system, defaultAgentSystem),
Query: b.query,
Profile: b.profile,
History: b.history,
ToolOut: append(append([]string{}, b.toolOut...), b.refs...),
}
msgs, _ := buildMessages(ctx, rc)
tr.emit(node, "model", "start", "模型流式推理", "", 0)
t0 := time.Now()
n, redacted := 0, 0
send := func(s string) {
if s == "" {
return
}
// 输出护栏:发射前逐片脱敏疑似密钥/令牌(流式无法回收已发,故逐片处理)。
safe, hit := harness.RedactSecrets(s)
redacted += hit
_ = o.sink.PublishToken(taskID, []byte(safe))
b.answer += safe
n++
}
var err error
if o.pool.Ready() {
err = o.pool.ChatStream(ctx, toChatMessages(msgs), send)
} else {
err = o.pool.StreamText(ctx, replyFor(msgs), func(tok []byte) { send(string(tok)) })
}
if err != nil {
tr.emit(node, "model", "error", "模型流式推理", err.Error(), time.Since(t0).Milliseconds())
return
}
if redacted > 0 {
tr.info(node, "system", "输出护栏", fmt.Sprintf("已脱敏 %d 处疑似密钥/令牌", redacted))
}
tr.emit(node, "model", "end", "模型流式推理",
fmt.Sprintf("%d tokens / %d 字", n, len([]rune(b.answer))), time.Since(t0).Milliseconds())
}
// renderNode 执行渲染节点:把当前成稿渲染成 Word(经 mcp-go report_render)。
func (o *Orchestrator) renderNode(ctx context.Context, taskID string, n dsl.Node, b *board, tr *execTracer) {
if strings.TrimSpace(b.answer) == "" {
tr.info("render:"+n.ID, "render", labelOf(n, "渲染"), "暂无正文可渲染(render 前需有 agent 产出)")
return
}
format := firstNonEmpty(cstr(n.Config, "format"), "docx")
end := tr.span("render:"+n.ID, "render", labelOf(n, "渲染 "+format))
title := truncate(b.query, 40)
secs := b.sections // map 产出的多章优先;否则把整段成稿当单章
if len(secs) == 0 {
secs = []reportSection{{Heading: title, Body: b.answer}}
}
if path := o.renderReport(ctx, taskID, title, secs); path != "" {
end("已落盘:"+path, nil)
o.emit(taskID, "\n\n---\n✅ 已渲染 "+format+" 文档,可在「下载」获取。\n")
} else {
end("渲染服务不可用", fmt.Errorf("render unavailable"))
}
}
// branchNode 执行分支节点:求值条件,按出边的 true/false 标签选出要激活的下游。
// 边带 sourceHandle("true"/"false") 时按标签精确选路(前端 Phase 2 给 branch 的边打标);
// 无标签的旧图退回"出边顺序 [true,false]"约定,保持向后兼容。
func (o *Orchestrator) branchNode(n dsl.Node, b *board, outs []dsl.Edge, byID map[string]dsl.Node, tr *execTracer) []string {
cond := cstr(n.Config, "condition")
res := evalCondition(cond, b)
var truthy, falsy []string
labeled := false
for _, e := range outs {
switch e.SourceHandle {
case "true":
truthy = append(truthy, e.Target)
labeled = true
case "false":
falsy = append(falsy, e.Target)
labeled = true
}
}
var chosen []string
mode := "边标签"
if labeled {
if res {
chosen = truthy
} else {
chosen = falsy
}
} else {
mode = "边序约定[true,false]"
targets := targetsOf(outs)
switch {
case len(targets) >= 2:
if res {
chosen = targets[:1]
} else {
chosen = targets[1:2]
}
case len(targets) == 1 && !res:
chosen = nil
default:
chosen = targets
}
}
names := make([]string, 0, len(chosen))
for _, id := range chosen {
names = append(names, labelOf(byID[id], id))
}
tr.info("branch:"+n.ID, "system", labelOf(n, "分支"),
fmt.Sprintf("条件「%s」→ %v ⇒ 走 [%s]%s",
firstNonEmpty(cond, "(空=真)"), res, strings.Join(names, ", "), mode))
return chosen
}
// targetsOf 取一组边的目标节点 ID(保持顺序)。
func targetsOf(edges []dsl.Edge) []string {
out := make([]string, 0, len(edges))
for _, e := range edges {
out = append(out, e.Target)
}
return out
}
// evalCondition 求值 branch 条件。支持:
//
// 空 → true;关键字 refs/tools/answer/profile 作左值(取数量/字数);
// 形如 "a op b"op: >= <= == != > <)数值比较;其余非空 → 默认真。
func evalCondition(cond string, b *board) bool {
cond = strings.TrimSpace(cond)
if cond == "" {
return true
}
for _, op := range []string{">=", "<=", "==", "!=", ">", "<"} {
if i := strings.Index(cond, op); i >= 0 {
l := resolveOperand(strings.TrimSpace(cond[:i]), b)
r := resolveOperand(strings.TrimSpace(cond[i+len(op):]), b)
switch op {
case ">":
return l > r
case "<":
return l < r
case ">=":
return l >= r
case "<=":
return l <= r
case "==":
return l == r
case "!=":
return l != r
}
}
}
return true
}
// resolveOperand 把条件里的左/右值解析为数值(关键字取运行时数量,否则按字面量)。
func resolveOperand(s string, b *board) float64 {
switch strings.ToLower(s) {
case "refs":
return float64(len(b.refs))
case "tools":
return float64(len(b.toolOut))
case "answer":
return float64(len([]rune(b.answer)))
case "profile":
return float64(len([]rune(b.profile)))
}
f, _ := strconv.ParseFloat(s, 64)
return f
}
// aggregate 按策略合并多段参考资料为一段。
func aggregate(strategy string, parts []string) []string {
var nonEmpty []string
for _, p := range parts {
if strings.TrimSpace(p) != "" {
nonEmpty = append(nonEmpty, p)
}
}
if len(nonEmpty) == 0 {
return nil
}
switch strategy {
case "去重合并":
seen := map[string]bool{}
var uniq []string
for _, p := range nonEmpty {
if !seen[p] {
seen[p] = true
uniq = append(uniq, p)
}
}
return []string{strings.Join(uniq, "\n---\n")}
case "摘要":
return []string{truncate(strings.Join(nonEmpty, "\n"), 800)}
default: // 拼接
return []string{strings.Join(nonEmpty, "\n---\n")}
}
}
// ---- 小工具 ----
func meta(t *contract.Task, key string) string {
v, _ := t.Meta[key].(string)
return v
}
func cstr(cfg map[string]any, key string) string {
if cfg == nil {
return ""
}
v, ok := cfg[key]
if !ok || v == nil {
return ""
}
if s, ok := v.(string); ok {
return strings.TrimSpace(s)
}
return strings.TrimSpace(fmt.Sprint(v))
}
func cbool(cfg map[string]any, key string) bool {
if cfg == nil {
return false
}
if v, ok := cfg[key].(bool); ok {
return v
}
return false
}
func labelOf(n dsl.Node, def string) string {
if strings.TrimSpace(n.Label) != "" {
return n.Label
}
return def
}
func countLines(s string) int {
s = strings.TrimSpace(s)
if s == "" {
return 0
}
return strings.Count(s, "\n") + 1
}