Files
HomeAgent/internal/agent/core/toolcall.go
JianFeeeee f0be8cbaa5 feat(remotedevice): 设备能力 outputch 化 —— 每设备一个 device/<id> 通道 + 设备指令类工具补授权闸
用户指出 remotedevice 的能力应当 outputch 化。查证后发现比"应当"更严重:
设备方向**根本没有出站实现**。

## 查到的三个缺口

1. `devicectlDevice` 一直声明 `OutputCapabilities() = CapStructured`(对外宣称可作输出目标),
   但 `Execute` 的 switch 里**没有 "output" 分支** ⇒ `output_send__devicectl` 必然拿到
   `unknown device tool output`,回模型"通过 [devicectl] 通道发送失败"。
2. 全插件没有 `RegisterOutputChannel`,也没有任何 EmitOutput/output_send 路径:
   设备方向只有「工具(请求-响应)」与「设备→agent 注入」,**agent → 设备是断的**
   (唯一的下行通道是个 HTTP 端点 `/api/v1/device/push`,不在 agent 的工具/通道模型里)。
3. 寻址是聚合的:所有设备共用一个名字 `devicectl`,没有 `device/<id>`;且设备 caps 只在
   插件内部软检查(`SupportsTool`),**绕过**了内核的 `AllowedOutputs` 授权闸 ——
   驻留子只要拿到 `device_ctl_cmdrun` 就能指挥**任意**设备。

## 按方向切分(不是一刀切)

**出站/消息类 → 每设备一个输出通道 `device/<id>`**(与入站同名):
- 上线注册、掉线注销(caps 由设备声明的 caps 映射:文本恒有;有屏→图/文件;
  speaker→音频;可跑命令(cmd/cmdrun/cmdresult)或未声明已知能力→全能力,与
  `deviceSupportsTool` 的旧设备兼容规则一致)。断连不注销会留下死通道骗模型。
- 于是自动获得:内核按 caps 在**发送前**拦(送图给纯文本音箱直接拒);
  `output_list_channels` 能列出设备;`AllowedOutputs` 可按设备收窄给驻留子。
- 上下线钩子用 `Registry.SetPresenceHandler`(**同步回调**)而不是既有的 `ChangeChan`
  (那是 select+default,缓冲满会丢事件;丢一次就留下死通道或漏注册)。
- `devicectl` 保留为聚合通道,并把它"声明了却不实现"的 output 补实:按
  `meta.device_id`(或 meta 就是设备 id / args.device_id)路由;缺省时返回**可执行**的
  报错(列出在线设备),而不是含糊失败。

**RPC 类保留为工具**(`devicedetect`/`screensee`/`computeruse`/`clipboard*`/
`device_ctl_status|cmdrun|cmdresult`):它们的返回值(图像/命令输出/状态)必须进模型
上下文,做成通道会丢掉这个语义。

**并给设备指令类工具补上同一道授权闸**(core/toolcall.go):`device_id` 指向的设备
必须是本 agent 被授权的 `device/<id>`。根 agent 默认完整授权 ⇒ 无行为变化;
驻留子收窄后,"拿到工具就能指挥任意设备"的缺口被堵上(新增 3 条 core 测试钉住)。

**设备端参考实现**(`internal/devicebridge/client/bridge.go` + waiter):新增 `op=push`
分发与 `OnPush` 回调(文本/结构化;二进制走既有 `cmd_speech_*` → `DataHandler`),
waiter 把它打到终端。

## 设计口径(用户当场纠偏,已写进代码注释与 harness README)

**主动转发只有 webui 与 cli 两个交互界面**(webui 订阅 EventAgentOutput 渲染气泡、
cli 用同步回程写回终端)。其它通道一律要求 agent **显式** `output_send__<通道>`。
我第一版给 remotedevice 加了 `EventAgentOutput` 订阅来自动回投设备——那是凭空造了
第三个转发者,违背"输出是 agent 的主动调用",已撤回(该测试一并删除)。

## 验收

- 单测:caps 映射词表;设备上线→注册通道(含同名 inputch)/掉线→注销;push 真落到
  WS 设备;聚合通道 `devicectl` 的寻址(无 device_id 报可执行错误、按 meta 投递、
  指定不存在设备报错);core 授权闸 3 例。
- 全量 `go test ./...` = 37 包 ok / 0 FAIL;`-race`(agent/plugins/plugin/devicebridge/sdk)干净。
- **真二进制端到端**(私有 netns + mock LLM + 真 WS 设备客户端 scripts/kernel-stress/devclient.py):
  设备上线 → 通道表出现 `device/pydev-1`(caps=[text file image audio structured],由
  `caps:["cmd"]` 映射)→ agent 经 `output_send__device/pydev-1` 主动发送 → 设备收到
  `{"op":"push","payload":"内核推给你的消息","type":"text"}` → 设备掉线 → 通道从表中消失。
2026-09-13 12:23:28 +08:00

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package core
import (
"fmt"
"log"
"runtime/debug"
"strings"
"time"
agentAPI "gitcode.com/JianFeeeee/HomeAgent/internal/agent/api"
"gitcode.com/JianFeeeee/HomeAgent/internal/memory"
"gitcode.com/JianFeeeee/HomeAgent/internal/memory/document"
"gitcode.com/JianFeeeee/HomeAgent/internal/memory/text"
)
func (a *Agent) executeToolCall(tc agentAPI.ToolCall, channel string) (ret string) {
defer func() {
if r := recover(); r != nil {
stack := debug.Stack()
log.Printf("[agent] tool %s panic: %v\n%s", tc.Name, r, stack)
if pluginName := a.resolveToolPlugin(tc.Name); pluginName != "" {
if a.pluginHealth.recordCrash(pluginName) {
log.Printf("[agent] plugin %s exceeded crash threshold, scheduling reload", pluginName)
}
}
ret = fmt.Sprintf("工具 %s 执行崩溃: %v", tc.Name, r)
}
}()
done := make(chan string, 1)
go func() {
done <- a.executeToolCallInner(tc, channel)
}()
select {
case result := <-done:
return result
case <-time.After(60 * time.Second):
log.Printf("[agent] tool %s timed out after 60s", tc.Name)
return fmt.Sprintf("工具 %s 执行超时60秒已取消", tc.Name)
}
}
func (a *Agent) executeToolCallInner(tc agentAPI.ToolCall, channel string) string {
switch {
case tc.Name == "persona_set":
return a.executePersonaTool(tc)
case strings.HasPrefix(tc.Name, "memory_"):
return a.executeMemoryTool(tc)
case strings.HasPrefix(tc.Name, "social_"):
return a.executeSocialTool(tc)
case strings.HasPrefix(tc.Name, "knowledge_"):
return a.executeKnowledgeTool(tc)
case strings.HasPrefix(tc.Name, "doc_"):
return a.executeDocTool(tc)
case strings.HasPrefix(tc.Name, "output_send__") && strings.HasSuffix(tc.Name, "_help"):
return a.executeOutputSendHelp(tc)
case strings.HasPrefix(tc.Name, "output_send__"):
return a.executeOutputSendTool(tc)
case tc.Name == "output_list_channels":
return a.executeOutputListChannels()
case tc.Name == "input_channels":
return a.executeInputChannels(tc)
case tc.Name == "resident_agents":
return a.executeResidentAgents(tc)
case tc.Name == "notify_parent":
return a.executeNotifyParent(tc)
case tc.Name == "inputch_note":
return a.executeInputchNote(tc)
case tc.Name == "plgreload":
return a.executePluginReload()
case tc.Name == "get_plugin_tools":
pluginName, _ := tc.Arguments["plugin_name"].(string)
return a.executeGetPluginTools(pluginName)
case tc.Name == "spawn_child":
return a.executeSpawnChild(tc, channel)
case tc.Name == "child_result":
return a.executeChildResultTool(tc)
case strings.HasPrefix(tc.Name, "llm_"):
return a.executeLLMTool(tc)
case tc.Name == "describe_image":
return a.executeDescribeImage(tc)
case tc.Name == "transcribe_audio":
return a.executeTranscribeAudio(tc)
case tc.Name == "ocr_image":
return a.executeOCRImage(tc)
}
if a.stageHost != nil {
if result, err := a.stageHost.ExecuteTool(tc.Name, tc.Arguments); err == nil {
return fmt.Sprintf("%v", result)
} else if !strings.Contains(err.Error(), "not found in any plugin") {
return fmt.Sprintf("工具 %s 执行失败: %v", tc.Name, err)
}
}
// 设备类工具的**授权闸**(最小授权的缺口在这里)。
//
// 设备指令类工具device_ctl_cmdrun/screensee/computeruse/...)走的是工具面,
// 而 AllowedOutputs 只作用于 output_send__<通道> —— 于是"授权"对指令类工具完全无效:
// 驻留子只要拿到 device_ctl_cmdrun 就能指挥**任意**设备。
// 这里按目标设备的通道名 device/<id> 查同一道闸:父授权了哪台设备,才允许指挥哪台。
if _, isDeviceTool := a.io.DeviceOfTool(tc.Name); isDeviceTool {
if id, _ := tc.Arguments["device_id"].(string); id != "" && !a.IsOutputAllowed("device/"+id) {
return fmt.Sprintf("设备 [%s] 未授权给本 agent可用设备见 output_list_channels 的 device/<id> 通道,或 devicedetect", id)
}
}
if a.tracker != nil {
a.tracker.PreAction(tc.Name)
}
result, err := a.io.ExecuteTool(tc.Name, tc.Arguments)
if a.tracker != nil {
if cs := a.tracker.PostAction(tc.Name); cs != nil && len(cs.Files) > 0 {
log.Printf("[agent] tool %s changed %d files (changeset: %s)", tc.Name, len(cs.Files), cs.ID)
}
}
if err != nil {
return fmt.Sprintf("工具 %s 执行失败: %v", tc.Name, err)
}
return fmt.Sprintf("%v", result)
}
func (a *Agent) executeMemoryTool(tc agentAPI.ToolCall) string {
g := a.graphMem()
if g == nil {
if tc.Name == "memory_document_query" {
return a.executeDocTool(tc)
}
return "图记忆系统不可用"
}
// 整理类工具需要**完整内核**的记忆整理面(块/媒体/结构操作)。
// 轻量内核(驻留子)只有图记忆共同面 ⇒ 这些操作明确不可用,不静默降级。
requireFull := func() string {
if a.memory == nil {
return "本 agent 是轻量内核:只能读写图记忆,记忆整理(合并/删除/清理/编辑/统计)不可用"
}
return ""
}
switch tc.Name {
case "memory_recall":
query, _ := tc.Arguments["query_intent"].(string)
depth, _ := tc.Arguments["depth"].(float64)
if depth <= 0 {
depth = 2
}
if query == "" {
return "请输入查询关键词"
}
// 关键词提取:支持逗号分隔和自然语言
keywords := strings.Split(query, ",")
if len(keywords) == 1 {
keywords = memory.ExtractKeywords(query)
}
result, err := g.Recall(keywords, nil, int(depth), "")
if err != nil {
return fmt.Sprintf("记忆检索失败: %v", err)
}
if len(result.Entities) == 0 && len(result.Relations) == 0 {
return "未找到相关记忆"
}
if a.indexer != nil {
names := make([]string, len(result.Entities))
for i, e := range result.Entities {
names[i] = e.Name
}
a.indexer.MarkRecalled(names...)
}
var parts []string
parts = append(parts, fmt.Sprintf("找到 %d 个相关实体:", len(result.Entities)))
for _, e := range result.Entities {
parts = append(parts, fmt.Sprintf("- %s (提及%d次, 类型:%s)", e.Name, e.MentionCount, e.Type))
}
parts = append(parts, fmt.Sprintf("找到 %d 条关系:", len(result.Relations)))
for i, r := range result.Relations {
if i >= 10 {
parts = append(parts, "...更多关系被截断")
break
}
parts = append(parts, fmt.Sprintf("- %s →(%s)→ %s", r.SourceName, r.RelationType, r.TargetName))
}
// 命中的关系若挂着媒体块,把媒体说明附在结果末尾。
//
// 关系行只有实体名和关系类型,看不出"这条记忆当时还带了一张图"。
// 媒体块以结构边与句子相连,需经关系→句子反查。
// 不附上的后果agent 显式查了图记忆,却仍然不知道有图。
if mc := a.mediaContextForRelations(result.Relations); mc != "" {
parts = append(parts, "", "关联媒体:", mc)
}
return strings.Join(parts, "\n")
case "memory_block_merge":
if msg := requireFull(); msg != "" {
return msg
}
entityA, _ := tc.Arguments["entity_a"].(string)
entityB, _ := tc.Arguments["entity_b"].(string)
rounds, _ := tc.Arguments["rounds"].(float64)
if entityA == "" || entityB == "" || rounds <= 0 {
return "entity_a、entity_b 和 rounds 不能为空"
}
if entityA > entityB {
entityA, entityB = entityB, entityA
}
key := entityA + "||" + entityB
a.noMergeMu.Lock()
a.noMergeMarkers[key] = int(rounds)
a.noMergeMu.Unlock()
return fmt.Sprintf("已标记「%s」与「%s」在 %d 轮内不合并", entityA, entityB, int(rounds))
case "memory_commit":
triplesData, ok := tc.Arguments["triples"].([]interface{})
if !ok {
return "参数格式错误,需要 triples 数组"
}
var triples []memory.Triple
for _, td := range triplesData {
if m, ok := td.(map[string]interface{}); ok {
t := memory.Triple{
Subject: getString(m, "subject"),
Relation: getString(m, "relation"),
Object: getString(m, "object"),
SentenceText: getString(m, "sentence_text"),
}
// 模型显式关联的媒体:结构化字段随三元组一起提交,
// 由 commitTriplesWithMedia 变成 L3 一等块并与句子建边——
// 不再把 marker 写进句子文本。
if digests := getStringSlice(m, "media_digests"); len(digests) > 0 {
t.MediaDigests = a.resolveMediaDigests(digests)
// 块边需要句子作端点。模型没给原句时用三元组本身拼一句
// 自然语言——不能造一段 marker 文本,那正是被废弃的东西。
if t.SentenceText == "" && len(t.MediaDigests) > 0 {
t.SentenceText = fmt.Sprintf("%s%s%s。", t.Subject, t.Relation, t.Object)
}
}
if t.Subject != "" && t.Relation != "" && t.Object != "" {
triples = append(triples, t)
}
}
}
if len(triples) == 0 {
return "没有有效的三元组"
}
// remember 工具是用户/模型显式写入,不涉及归档删除,
// 因此不需要 mediaBound——没有旧引用要释放。
ec, rc, mb, err := a.commitTriplesWithMedia(triples, string(a.id), 0, nil)
if err != nil {
return fmt.Sprintf("记忆写入失败: %v", err)
}
if mb > 0 {
return fmt.Sprintf("已写入 %d 个实体和 %d 条关系,关联 %d 份媒体", ec, rc, mb)
}
return fmt.Sprintf("已写入 %d 个实体和 %d 条关系", ec, rc)
case "memory_introspect":
if msg := requireFull(); msg != "" {
return msg
}
stats, err := a.memory.Introspect()
if err != nil {
return fmt.Sprintf("查询失败: %v", err)
}
return fmt.Sprintf("记忆统计: %v", stats)
case "memory_document_query":
return a.executeDocTool(tc)
case "memory_merge":
if msg := requireFull(); msg != "" {
return msg
}
source, _ := tc.Arguments["source"].(string)
target, _ := tc.Arguments["target"].(string)
if source == "" || target == "" {
return "source 和 target 不能为空"
}
count, err := a.memory.MergeEntities(source, target)
if err != nil {
return fmt.Sprintf("合并失败: %v", err)
}
return fmt.Sprintf("已将「%s」合并到「%s」source 已彻底删除,%d 条关系已重定向", source, target, count)
case "memory_delete_entity":
if msg := requireFull(); msg != "" {
return msg
}
name, _ := tc.Arguments["name"].(string)
if name == "" {
return "name 不能为空"
}
if err := a.memory.DeleteEntity(name); err != nil {
return fmt.Sprintf("删除失败: %v", err)
}
return fmt.Sprintf("已彻底删除实体「%s」及其所有关联关系", name)
case "memory_purge":
if msg := requireFull(); msg != "" {
return msg
}
criteria := make(map[string]string)
if v, ok := tc.Arguments["subject_contains"].(string); ok && v != "" {
criteria["subject_contains"] = v
}
if v, ok := tc.Arguments["relation_type"].(string); ok && v != "" {
criteria["relation_type"] = v
}
if v, ok := tc.Arguments["target_contains"].(string); ok && v != "" {
criteria["target_contains"] = v
}
mode, _ := tc.Arguments["mode"].(string)
if mode == "" {
mode = "soft"
}
n, err := a.memory.Purge(criteria, mode)
if err != nil {
return fmt.Sprintf("删除图记忆失败: %v", err)
}
textRemoved := 0
if a.textMem != nil {
if subj, ok := criteria["subject_contains"]; ok && subj != "" {
textRemoved, _ = a.textMem.PurgeByFilter(func(evt text.Event) bool {
return strings.Contains(evt.Source, subj) || strings.Contains(evt.Input, subj) || strings.Contains(evt.Response, subj)
})
}
}
parts := []string{fmt.Sprintf("已%s删除 %d 条图记忆关系", mode, n)}
if textRemoved > 0 {
parts = append(parts, fmt.Sprintf("清理 %d 条文本记忆日志", textRemoved))
}
return strings.Join(parts, "")
case "memory_edit":
if msg := requireFull(); msg != "" {
return msg
}
oldSubject, _ := tc.Arguments["old_subject"].(string)
oldRelation, _ := tc.Arguments["old_relation"].(string)
oldObject, _ := tc.Arguments["old_object"].(string)
if oldSubject == "" || oldRelation == "" || oldObject == "" {
return "old_subject、old_relation、old_object 不能为空"
}
newSubject, _ := tc.Arguments["new_subject"].(string)
newRelation, _ := tc.Arguments["new_relation"].(string)
newObject, _ := tc.Arguments["new_object"].(string)
if newSubject == "" && newRelation == "" && newObject == "" {
return "至少提供一个新值new_subject / new_relation / new_object"
}
if newSubject == "" {
newSubject = oldSubject
}
if newRelation == "" {
newRelation = oldRelation
}
if newObject == "" {
newObject = oldObject
}
n, err := a.memory.Purge(map[string]string{
"subject_contains": oldSubject,
"relation_type": oldRelation,
"target_contains": oldObject,
}, "hard")
if err != nil {
return fmt.Sprintf("编辑图记忆失败(删除旧记录): %v", err)
}
triples := []memory.Triple{{
Subject: newSubject,
Relation: newRelation,
Object: newObject,
}}
ec, rc, err := a.memory.Commit(triples, string(a.id), 0)
if err != nil {
return fmt.Sprintf("编辑图记忆失败(写入新记录): %v", err)
}
textReplaced := 0
if a.textMem != nil && oldSubject != "" {
textReplaced, _ = a.textMem.ReplaceByFilter(
func(evt text.Event) bool {
return strings.Contains(evt.Input, oldSubject) || strings.Contains(evt.Response, oldSubject)
},
func(evt text.Event) text.Event {
evt.Input = strings.ReplaceAll(evt.Input, oldSubject, newSubject)
evt.Response = strings.ReplaceAll(evt.Response, oldSubject, newSubject)
return evt
},
)
}
result := fmt.Sprintf("已编辑记忆:删除 %d 条旧关系,写入 %d 个实体 + %d 条新关系", n, ec, rc)
if textReplaced > 0 {
result += fmt.Sprintf(",更新 %d 条文本记忆日志", textReplaced)
}
return result
default:
return fmt.Sprintf("未知的记忆工具: %s", tc.Name)
}
}
func (a *Agent) executeSocialTool(tc agentAPI.ToolCall) string {
if a.social == nil {
return "人物关系网不可用social store 未初始化)"
}
switch tc.Name {
case "person_query":
name, _ := tc.Arguments["name"].(string)
if name == "" {
return "请输入人物名称"
}
profile, err := a.social.GetPerson(name)
if err != nil {
return fmt.Sprintf("查询人物失败: %v", err)
}
var parts []string
parts = append(parts, fmt.Sprintf("▎%s 的档案", name))
if len(profile.Traits) > 0 {
parts = append(parts, "【特质】")
for k, v := range profile.Traits {
parts = append(parts, fmt.Sprintf(" %s: %s", k, v))
}
}
if len(profile.Relations) > 0 {
parts = append(parts, "【社交关系】")
for _, r := range profile.Relations {
parts = append(parts, fmt.Sprintf(" %s —(%s)—→ %s", name, r.Relation, r.Person))
}
}
if len(profile.Traits) == 0 && len(profile.Relations) == 0 {
parts = append(parts, " (尚无记录)")
}
return strings.Join(parts, "\n")
case "person_set_trait":
name, _ := tc.Arguments["name"].(string)
trait, _ := tc.Arguments["trait"].(string)
value, _ := tc.Arguments["value"].(string)
if name == "" || trait == "" || value == "" {
return "name、trait、value 都不能为空"
}
if err := a.social.SetTrait(name, trait, value); err != nil {
return fmt.Sprintf("设置特质失败: %v", err)
}
return fmt.Sprintf("已记录:%s 的 %s = %s", name, trait, value)
case "person_relate":
personA, _ := tc.Arguments["person_a"].(string)
relation, _ := tc.Arguments["relation"].(string)
personB, _ := tc.Arguments["person_b"].(string)
if personA == "" || relation == "" || personB == "" {
return "person_a、relation、person_b 都不能为空"
}
if err := a.social.AddRelation(personA, relation, personB); err != nil {
return fmt.Sprintf("建立关系失败: %v", err)
}
return fmt.Sprintf("已记录:%s —(%s)—→ %s", personA, relation, personB)
case "person_network":
name, _ := tc.Arguments["name"].(string)
depth := int(getFloat(tc.Arguments, "depth"))
if depth <= 0 {
depth = 2
}
if name == "" {
return "请输入人物名称"
}
profiles, err := a.social.GetNetwork(name, depth)
if err != nil {
return fmt.Sprintf("查询社交网络失败: %v", err)
}
if len(profiles) == 0 {
return fmt.Sprintf("未找到 %s 的社交网络", name)
}
var parts []string
parts = append(parts, fmt.Sprintf("▎%s 的社交网络(%d 度)", name, depth))
for _, p := range profiles {
if p.Name == name {
continue
}
parts = append(parts, fmt.Sprintf(" · %s", p.Name))
for k, v := range p.Traits {
parts = append(parts, fmt.Sprintf(" %s: %s", k, v))
}
for _, r := range p.Relations {
if r.Person != name {
parts = append(parts, fmt.Sprintf(" —(%s)—→ %s", r.Relation, r.Person))
}
}
}
return strings.Join(parts, "\n")
default:
return fmt.Sprintf("未知的人物工具: %s", tc.Name)
}
}
func (a *Agent) executeKnowledgeTool(tc agentAPI.ToolCall) string {
if a.knowledge == nil {
return "知识库不可用"
}
switch tc.Name {
case "knowledge_search":
query, _ := tc.Arguments["query"].(string)
topK := int(getFloat(tc.Arguments, "top_k"))
if topK <= 0 {
topK = 5
}
if query == "" {
return "请输入查询关键词"
}
results := a.knowledge.Search(query, topK)
if len(results) == 0 {
return "未找到相关知识"
}
var parts []string
for i, k := range results {
if i >= topK {
break
}
label := k.Name
if k.Category != "" {
label = k.Category + "/" + k.Name
}
parts = append(parts, fmt.Sprintf("[%s]\n%s", label, truncateStr(k.Content, 200)))
}
return strings.Join(parts, "\n---\n")
case "knowledge_create":
name, _ := tc.Arguments["name"].(string)
content, _ := tc.Arguments["content"].(string)
if name == "" || content == "" {
return "name 和 content 不能为空"
}
if err := a.knowledge.Add(name, content); err != nil {
return fmt.Sprintf("知识创建失败: %v", err)
}
return fmt.Sprintf("知识「%s」已创建并向量化索引%d 字符)", name, len(content))
case "knowledge_list":
tree := a.knowledge.BuildTree()
return formatTree(tree, 0)
case "knowledge_delete":
name, _ := tc.Arguments["name"].(string)
if name == "" {
return "name 不能为空"
}
if err := a.knowledge.Remove(name); err != nil {
return fmt.Sprintf("知识删除失败: %v", err)
}
return fmt.Sprintf("知识「%s」已删除", name)
default:
return fmt.Sprintf("未知的知识工具: %s", tc.Name)
}
}
func (a *Agent) executeDocTool(tc agentAPI.ToolCall) string {
if a.docStore == nil {
return "文档记忆不可用"
}
switch tc.Name {
case "doc_query":
query, _ := tc.Arguments["query"].(string)
topK := int(getFloat(tc.Arguments, "top_k"))
if topK <= 0 {
topK = 3
}
if query == "" {
return "请输入查询内容"
}
docs := a.docStore.Consume(query, topK)
if len(docs) == 0 {
return "未找到相关文档记忆"
}
var parts []string
var refs []string
for i, d := range docs {
parts = append(parts, fmt.Sprintf("[%d] %s (来源: %s)", i+1, d.Summary, d.Source))
if len(d.Tags) > 0 {
parts = append(parts, " 标签: "+strings.Join(d.Tags, ", "))
}
content := d.Content
if len(content) > 2000 {
content = content[:2000] + "..."
}
// 媒体块标签单独一行进冷存事件:正文可能被上面的 2000 字截断,
// 截掉之后模型就不知道这篇文档带过图。
if labels := a.blockLabelsForDoc(d); labels != "" {
content = content + "\n关联媒体: " + labels
}
a.context.InsertByTimestamp(ContextEvent{
Timestamp: d.CreatedAt,
Source: "cold_storage",
Input: fmt.Sprintf("加载文档记忆: %s", query),
Response: content,
})
refs = append(refs, fmt.Sprintf("#%d(%s)", i+1, d.Summary))
}
return fmt.Sprintf("已加载 %d 篇文档记忆: %s\n(完整内容参见对话时序中 cold_storage 事件)",
len(docs), strings.Join(refs, ", "))
case "doc_commit":
content, _ := tc.Arguments["content"].(string)
summary, _ := tc.Arguments["summary"].(string)
if content == "" {
return "content 不能为空"
}
if summary == "" {
summary = truncateStr(content, 100)
}
tagsRaw, _ := tc.Arguments["tags"].([]interface{})
var tags []string
for _, t := range tagsRaw {
if s, ok := t.(string); ok {
tags = append(tags, s)
}
}
doc := &document.Doc{
Summary: summary,
Content: content,
Tags: tags,
Source: "manual",
}
// 模型显式关联的媒体:直接变成文档持有的一等块。
// 不再往正文写 marker——文档向量会融合这些块的媒体向量
// 图片按自己的向量被检索。
for _, d := range a.resolveMediaDigests(getStringSlice(tc.Arguments, "media_digests")) {
if b, ok := a.blockFromDigest(d); ok {
doc.Blocks = append(doc.Blocks, b)
}
}
if err := a.docStore.Insert(doc); err != nil {
return fmt.Sprintf("文档写入失败: %v", err)
}
if n := len(doc.Blocks); n > 0 {
return fmt.Sprintf("文档已提交 (id: %s, 摘要: %s, 关联 %d 份媒体)", doc.ID, summary, n)
}
return fmt.Sprintf("文档已提交 (id: %s, 摘要: %s)", doc.ID, summary)
default:
return fmt.Sprintf("未知的文档工具: %s", tc.Name)
}
}