Files
Agent-System-Backend/internal/runtime/sub_loop.go
T
weichen 02858f486b Add deterministic material-intake background path for attachment sends
Why: the dual-speed entry hint is advisory only; real runs (MiniMax, 3 attachments, no text) end with a clarifying question and zero delegation, so background cards and result backfill never start.
Evidence: new unit tests in runmgr/material_test.go and runtime/material_flow_test.go all pass; full go test ./... exit 0 (local, SELF).
Impact: attachment-carrying runs now guarantee a material-organization background task (pre-spawn on attachment-only/heavy sends, stop-hook backstop otherwise when the model did not delegate); subagent receives inline parsed text with budget plus knowledge_search guidance; content-key dedup prevents duplicate spawns (in-flight, completed, resend); model-authored delegate_task gains a materials appendix; settings runtime.materialIntake (default on) and runtime.materialIntakeChars added.
Refs: Dev task .task/feature-material-intake-flow.md I1; user ruling 2026-10-11.
2026-10-11 16:45:49 +00:00

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package runtime
import (
"context"
"encoding/json"
"fmt"
"math"
"strings"
"time"
nruntime "agent-native/runtime"
agentllm "agent-native/runtime/llm"
agenttools "agent-native/runtime/tools"
"agent-system-backend/internal/prompts"
core "agent-system-core"
)
const subagentFallback = "你是被派生的子代理。独立完成给定子任务,输出完整、结构化的结果;需要分点时分条列出,不要为了简短而省略关键内容。"
const defaultSubagentID = "agent.sub.general"
// materialSubagentID 材料整理子代理(附件即保证):系统确定性派发,不依赖
// 提示词库配置即可工作——spec 缺省在代码内(对话同档模型 + 检索;fs 工具是
// 预留能力默认关,材料通道 = 任务正文内联 + knowledge_search)。
const materialSubagentID = "agent.sub.material"
func fallbackSubagentSpec() prompts.SubagentSpec {
return prompts.SubagentSpec{
Tools: []string{"knowledge_search", "web_search", "tavily_search", "time_now", "list_conversations", "read_conversation", "fs_read_file", "fs_list_dir"},
Model: "lightweight",
}
}
func materialSubagentSpec() prompts.SubagentSpec {
return prompts.SubagentSpec{
Tools: []string{"knowledge_search", "time_now"},
Model: "chat",
}
}
func (l *SubLLMRunner) Name() string { return "llm-subagent" }
func (l *SubLLMRunner) Execute(rc RunCtx) error {
id := defaultSubagentID
if src, ok := rc.(interface{ SubagentID() string }); ok {
if v := strings.TrimSpace(src.SubagentID()); v != "" {
id = v
}
}
spec := fallbackSubagentSpec()
if id == materialSubagentID {
spec = materialSubagentSpec()
}
if l.Prompts != nil {
if got, ok := l.Prompts.SubagentSpec(rc.Profile().Owner, id); ok {
spec = got
}
}
// 系统派发的模型档覆盖(材料整理 = 对话同档):优先于 spec 默认。
if src, ok := rc.(interface{ Submodel() string }); ok && src.Submodel() == "chat" {
spec.Model = "chat"
}
maxTurns := spec.MaxTurns
if maxTurns <= 0 {
maxTurns = math.MaxInt32
}
route := ResolveLightweightModel(rc.Profile(), rc.Settings())
if spec.Model == "chat" {
route = ResolveChatModel(rc.Profile(), rc.Settings())
}
stream := l.Stream
if stream == nil {
if route.Model == "" || route.Base == "" {
return fmt.Errorf("llm-subagent: 模型未配置(当前解析:model=%q base=%q)", route.Model, route.Base)
}
client := openLLMClient(route.Base, route.Key, route.Model)
stream = client.Stream
}
if spec.Model == "chat" {
stream = agentllm.WithFallback(stream, ChatFallbacks(rc.Settings()), nil)
}
decls := subagentDecls(rc, spec)
st := &subRun{rc: rc}
reg := agenttools.NewRegistry("")
for _, d := range decls {
name := d.Name
reg.Register(directTool{name: name, run: func(ctx context.Context, args json.RawMessage) agenttools.Result {
return st.runTool(name, string(args))
}})
}
wrapped := func(ctx context.Context, model string, messages []agentllm.Message, _ []agentllm.ToolDecl, opts agentllm.StreamOptions) <-chan agentllm.Event {
in := stream(ctx, model, messages, decls, opts)
out := make(chan agentllm.Event)
go func() {
defer close(out)
for ev := range in {
if ev.Kind == agentllm.KindMessageEnd {
if ev.Message.Role == "" {
ev.Message.Role = agentllm.RoleAssistant
}
if len(ev.Message.ToolCalls) > 0 && ev.Message.StopReason == "" {
ev.Message.StopReason = agentllm.StopToolCalls
}
}
select {
case out <- ev:
case <-ctx.Done():
return
}
}
}()
return out
}
_ = rc.Emit(core.EvAgentProgress, core.AgentProgressPayload{AgentRun: rc.Run().ID, Note: "执行子任务……", Phase: core.PhaseActing})
user := agentllm.Message{Role: agentllm.RoleUser, Content: subagentUserText(rc)}
window, reserve, buffer := contextWindow(rc.Settings())
res, err := nruntime.Run(rc.Context(), nruntime.Config{
Model: route.Model,
SystemPrompt: l.subagentPrompt(rc, id),
Tools: reg,
Stream: wrapped,
MaxTurns: maxTurns,
RepeatGuard: true,
ContinueOnLength: true,
MaxLengthContinuations: -1,
ContextWindow: window,
OutputReserve: reserve,
ContextBuffer: buffer,
OnEvent: st.onEvent,
PermissionAsk: PermissionAskOf(rc),
Trace: l.Trace,
AgentName: agentNameOf(rc.Profile()),
RetryAttempts: retryAttemptsOf(rc.Settings()),
}, user)
// 子代理记账(N3 WP6):token 用量入账(此前只有 DurationMs)。
if sink, ok := rc.(interface{ AddUsage(core.Usage) }); ok {
sink.AddUsage(st.usageTotal)
}
if len(st.parts) == 0 {
st.parts = append(st.parts, core.Part{Type: core.PartText, Text: "(子代理未返回内容)"})
}
_ = rc.SetAssistantParts(st.parts)
if err != nil {
return err
}
if res.Err != nil {
return res.Err
}
return nil
}
func (l *SubLLMRunner) subagentPrompt(rc RunCtx, id string) string {
if l.Prompts == nil {
return subagentFallback
}
if body, err := l.Prompts.AgentPrompt(rc.Profile().Owner, id); err == nil && strings.TrimSpace(body) != "" {
return body
}
return subagentFallback
}
func subagentUserText(rc RunCtx) string {
text := rc.Subtask()
if src, ok := rc.(interface{ Subhint() string }); ok {
if hint := strings.TrimSpace(src.Subhint()); hint != "" {
text += "\n\n执行提示:" + hint
}
}
return text
}
func subagentDecls(rc RunCtx, spec prompts.SubagentSpec) []agentllm.ToolDecl {
allow := map[string]bool{}
for _, name := range spec.Tools {
allow[name] = true
}
var decls []agentllm.ToolDecl
for _, tool := range rc.Tools() {
if !allow[tool.Name] || !rc.Profile().Tools.ToolAllowed(tool.Name) {
continue
}
decls = append(decls, agentllm.ToolDecl{Name: tool.Name, Description: tool.Description, Parameters: tool.Parameters})
}
return decls
}
type subSlot struct {
call agentllm.ToolCall
start time.Time
summary string
status string
artifact *core.ArtifactRef
}
type subRun struct {
rc RunCtx
parts []core.Part
queued []agentllm.ToolCall
inflight *subSlot
turnText strings.Builder
usageTotal core.Usage
}
func (st *subRun) onEvent(ev nruntime.Event) {
switch ev.Type {
case "turn_start":
st.turnText.Reset()
case "text_delta":
st.turnText.WriteString(ev.Text)
_ = st.rc.Emit(core.EvAgentProgress, core.AgentProgressPayload{AgentRun: st.rc.Run().ID, Note: truncateRun(st.turnText.String(), 80)})
case "message_end":
st.usageTotal.PromptTokens += ev.PromptTokens
st.usageTotal.CompletionTokens += ev.CompletionTokens
st.usageTotal.TotalTokens += ev.TotalTokens
st.usageTotal.LastPromptTokens = ev.PromptTokens
st.usageTotal.LastCompletionTokens = ev.CompletionTokens
st.usageTotal.CacheReadTokens += ev.CacheReadTokens
st.usageTotal.CacheWriteTokens += ev.CacheWriteTokens
st.queued = append([]agentllm.ToolCall(nil), ev.Message.ToolCalls...)
hasCalls := len(ev.Message.ToolCalls) > 0
if body := strings.TrimSpace(st.turnText.String()); body != "" {
st.parts = append(st.parts, core.Part{Type: core.PartText, Text: body, Process: hasCalls})
}
case "tool_execution_start":
call := agentllm.ToolCall{Name: ev.Tool, Arguments: ev.Detail}
if len(st.queued) > 0 {
call = st.queued[0]
st.queued = st.queued[1:]
}
st.inflight = &subSlot{call: call, start: time.Now()}
_ = st.rc.Emit(core.EvAgentProgress, core.AgentProgressPayload{AgentRun: st.rc.Run().ID, Note: "调用 " + call.Name})
case "tool_execution_end":
slot := st.inflight
if slot == nil {
return
}
end := time.Now()
st.parts = append(st.parts,
core.Part{Type: core.PartToolCall, Process: true, ToolCall: &core.ToolCallPart{ID: slot.call.ID, Name: slot.call.Name, Arguments: slot.call.Arguments, Duration: durationMs(slot.start, end)}},
core.Part{Type: core.PartToolResult, Process: true, ToolResult: &core.ToolResultPart{CallID: slot.call.ID, Status: slot.status, Summary: slot.summary}},
)
if slot.artifact != nil {
st.parts = append(st.parts, core.Part{Type: core.PartArtifactRef, Artifact: slot.artifact})
}
st.inflight = nil
}
}
func (st *subRun) runTool(name, args string) agenttools.Result {
call := agentllm.ToolCall{Name: name, Arguments: args}
if st.inflight != nil && st.inflight.call.Name != "" {
call = st.inflight.call
}
res := st.rc.ExecuteTool(core.ToolCallRequest{CallID: call.ID, Name: call.Name, Arguments: json.RawMessage(call.Arguments)})
summary := res.Output
status := res.Status
if status == "" {
status = "ok"
}
var ref *core.ArtifactRef
if res.Artifact != nil {
ref = &core.ArtifactRef{ArtifactID: res.Artifact.ID, Name: res.Artifact.Name, Kind: res.Artifact.Kind}
}
if st.inflight != nil {
st.inflight.summary = summary
st.inflight.status = status
st.inflight.artifact = ref
}
if status != "ok" {
return agenttools.Result{Content: summary, IsError: true}
}
return agenttools.Result{Content: summary}
}
// delegateMaterialsNote 模型自派后台任务的材料指引(R2):子代理看不到父回合
// 内联的附件全文,指明 knowledge_search 检索通道(上传时解析文本已进索引)。
func delegateMaterialsNote(docs []core.ParsedDocument) string {
names := make([]string, 0, len(docs))
for _, d := range docs {
if n := strings.TrimSpace(d.Meta.Filename); n != "" {
names = append(names, n)
}
}
if len(names) == 0 {
return ""
}
return "\n\n[系统补充] 本会话材料文件:" + strings.Join(names, "、") + "。解析全文可用 knowledge_search 以文件名为关键词检索获取。"
}
func subagentProfileID(agent string) string {
switch agent {
case "explore", "research", "plan", "verify", "general", "writer":
return "agent.sub." + agent
default:
return defaultSubagentID
}
}