package core import ( "fmt" "strings" agentIO "gitcode.com/JianFeeeee/HomeAgent/internal/agent/io" ) func (a *Agent) buildMemoryContext(input string, maxTokens int) string { if a.indexer == nil { return "" } injected := a.indexer.BuildContext(input) s := a.indexer.FormatContext(injected) // 图库召回命中的实体若关联着带媒体的句子,把媒体说明一并注入。 // // 不做这一步的后果:媒体描述进了 L3,agent 却拿不出来。图库句子里 // 写着 [image/png a1b2c3d4e5f6] 这样的短标记,但没有任何东西告诉 // 模型那份内容是否还在、能否重新查看——描述永存而 blob 可能已被 // 删除,两者状态不同,必须显式告知。 // // 注意不能直接用 injected.Relations:BuildContext 刻意把它置为 nil //(自动注入只给实体索引以省 token,细节留给 memory_recall)。 // 因此这里用命中的实体名再查一次关系,只为拿到 sentence_id。 if mc := a.mediaContextForInjectedEntities(injected); mc != "" { if s != "" { s += "\n" } s += "【关联媒体】\n" + mc } if maxTokens > 0 { s = TruncateByTokens(s, maxTokens) } return s } func (a *Agent) buildSystemPrompt(memContext string, userInput string) string { prompt := a.systemPrompt if prompt == "" { prompt = "你是小宅,HomeAgent 的看板娘,一个家政型 AI 管家助手。绝不用 Unicode emoji,只用颜文字表达情感,句尾带语气词。WebUI 概览页展示你的立绘。" } // 驻留子:在**固定提示词之上**注入任务提示词(设计 §7「创建」)。 if a.taskPrompt != "" { prompt += "\n\n【任务】" + a.taskPrompt } if a.personality != nil { if pp := a.personality.InjectPrompt(); pp != "" { prompt += "\n\n" + pp } } if memContext != "" { prompt += "\n\n" + memContext } prompt += "\n\n【记忆清理指令】当用户要求整理或清理记忆时,你必须实际调用 memory_ 工具执行操作,不能只回复文本。先用 memory_introspect 查看概况,再用 memory_recall 获取详情。有同义实体则用 memory_merge 合并(source 会被彻底删除),有无用噪音实体则用 memory_delete_entity 直接删除,也可用 memory_purge 批量清理,用 memory_edit 修正错误,用 memory_block_merge 标记不合并。如果工具执行成功,把结果告知用户;不要只描述计划而不执行。" // 跨模态召回:文本路(fastText/TF-IDF 文档层,媒体描述文本已随记忆进入) // + 视觉路(多模态文本编码 → 媒体库坐标)两路归一化融合。 // 未配置多模态空间时视觉路为空,等价旧的 docStore.Query。 if a.docStore != nil { hits := a.retrieveCrossModal(userInput, 3, a.fusionCfg) if md := a.crossModalMarkdown(hits); md != "" { prompt += "\n\n" + md } } prompt += "\n\n【中断消息】长任务执行期间,工具/插件/定时器等会通过中断机制向你发送提醒(如 QQ 新消息、终端输出到达、定时器到点等)。中断消息以 system 角色注入,内容带 [中断消息] 前缀,**不是用户发言,但也必须认真处理**:优先停下当前长任务,针对中断内容作出响应或决定继续执行。不要忽略带 [中断消息] 前缀的 system 消息。" prompt += "\n\n【输出规则】消息不会自动发送到对话来源通道,你必须自己决定如何回复:\n" prompt += "- **不要假设当前通道是某个固定值**:同一会话里可能同时有多个来源(多设备、多通道、子任务)。\n" prompt += " 先看这条消息本身与上下文里的来源信息,再决定往哪里回;不确定有哪些通道时先调 output_list_channels。\n" prompt += "- 同步通道(webui / cli / 终端):直接返回纯文本,内核会把文本交给等待方显示,无需调用工具。\n" prompt += "- 异步通道(qq / wechat / 群聊等):返回纯文本**【不会】**自动送达用户,必须调用 output_send__{通道名} 工具(注意 meta 里带上正确的 user_id 或 group_id)才能真正把消息发出去。\n" prompt += "- 不确定当前通道的发送方式时,先用 output_send__{通道名}_help 查看该通道的 meta 格式和 type 枚举,再决定。\n" prompt += "- 每轮对话**通常只需调用一次** output_send__{通道名} 即可完成回复。仅在内容确实超过单条消息长度上限(如 >4000 字)时才拆分为多条;拆分时每条应是完整段落,不要碎片化。\n" prompt += "- 需要多步执行的长任务:**必须先**向当前对话通道发一条确认消息告诉用户已收到(异步通道用输出门工具,同步通道直接返回文本),**然后再**执行具体排查工具。确认消息不代表任务完成,发出后仍需继续执行实际工具并最终汇报结果。\n" prompt += "- 用户从其他渠道发来「在哪里/怎么样了」这类追问时,先回忆上次任务的通道与上下文,再回同一通道。" if a.indexer != nil { prompt += "\n\n" + a.indexer.BuildToolPrompt() } // 技能索引(方案B):轻量注入已加载技能列表,LLM 匹配到场景时 // 主动 skill_info 拉取全文按文档执行 if a.skillIndex != nil { if idx := a.skillIndex.SkillIndex(); idx != "" { prompt += "\n\n【可用技能】以下是已安装的原生技能。当用户请求与某技能描述匹配时,\n先用 skill_info(\"技能名\") 拉取全文,再严格按文档步骤执行:\n" + idx } } // 首启人格门禁(跨通道唯一闸口):人格未确认时,要求模型主动询问用户。 // 系统提示词每轮重建,因此 WebUI / QQ / CLI / ACP / 邮件等所有通道都会带上它; // 模型调用 persona_set(或用户在 WebUI 向导里选)落地后,标记置位,本段消失。 if a.personaStore != nil && !a.personaStore.PersonaInitialized() { prompt += "\n\n【首启人格设定】你的**人格设定尚未确认**。请在本轮回复里先问用户一句:" + "要用默认人格,还是自定义一个?拿到明确答复后**必须调用 persona_set 工具**落库:" + "用户选默认 → mode=default;自定义 → mode=custom 且把内容写进 content;" + "用户说以后再说 → mode=later。用户答复前不要假设已设置,也不要反复追问同一件事。" } prompt += a.buildToolCatalog() return prompt } func cleanParams(params map[string]interface{}) map[string]interface{} { if params == nil { return nil } cleaned := make(map[string]interface{}, len(params)) for k, v := range params { cleaned[k] = v } if req, ok := cleaned["required"]; ok { switch v := req.(type) { case []interface{}: if len(v) == 0 { delete(cleaned, "required") } case []string: if len(v) == 0 { delete(cleaned, "required") } } } return cleaned } func (a *Agent) buildToolCatalog() string { defs := a.buildToolDefs() if len(defs) == 0 { return "" } // 仅注入插件/通道能力摘要,避免全量工具定义污染 system prompt。 // 每个插件列:名称 + 能力描述 + 工具数。完整工具定义由 get_plugin_tools 按需拉取。 byPlugin := map[string]int{} // plugin -> 工具数 pluginDesc := map[string]string{} // plugin -> 首个工具描述(作能力概览) var order []string for _, t := range defs { fn, ok := t.(map[string]interface{})["function"].(map[string]interface{}) if !ok { continue } name, _ := fn["name"].(string) if name == "" { continue } plg := a.resolveToolPlugin(name) if _, seen := byPlugin[plg]; !seen { order = append(order, plg) } byPlugin[plg]++ if pluginDesc[plg] == "" { desc, _ := fn["description"].(string) if len(desc) > 60 { desc = desc[:60] + "..." } pluginDesc[plg] = desc } } var sb strings.Builder sb.WriteString("\n\n【可用工具能力】\n") sb.WriteString("工具按插件分组注册。需要某个插件的具体工具时,调用 get_plugin_tools(\"{插件名}\") 获取该插件的完整工具定义(名称/参数/用途)。\n") for _, plg := range order { sb.WriteString(fmt.Sprintf("- %s (%d 个工具)", plg, byPlugin[plg])) if d := pluginDesc[plg]; d != "" { sb.WriteString(": " + d) } sb.WriteString("\n") } return sb.String() } func (a *Agent) buildToolDefs() []interface{} { var tools []interface{} if a.io != nil { for _, td := range a.io.GetAllTools() { tools = append(tools, map[string]interface{}{ "type": "function", "function": map[string]interface{}{ "name": td.Name, "description": td.Description, "parameters": cleanParams(td.Parameters), }, }) } } if a.stageHost != nil { for _, td := range a.stageHost.GetToolDefs() { tools = append(tools, map[string]interface{}{ "type": "function", "function": map[string]interface{}{ "name": td.Name, "description": td.Description, "parameters": cleanParams(td.Parameters), }, }) } } if a.indexer != nil { for _, td := range a.indexer.GetToolDefinitions() { tools = append(tools, td) } } if a.personaStore != nil { tools = append(tools, map[string]interface{}{ "type": "function", "function": map[string]interface{}{ "name": "persona_set", "description": "【首启人格】落地用户的人格选择并记录「已经问过」。仅在用户明确答复后调用:默认用 mode=default;自定义用 mode=custom 并把人格内容放进 content;用户说以后再说用 mode=later。", "parameters": map[string]interface{}{ "type": "object", "properties": map[string]interface{}{ "mode": map[string]interface{}{"type": "string", "description": "default | custom | later"}, "content": map[string]interface{}{"type": "string", "description": "自定义人格内容(mode=custom 时必填)"}, }, "required": []string{"mode"}, }, }, }) } if a.memory != nil { tools = append(tools, map[string]interface{}{ "type": "function", "function": map[string]interface{}{ "name": "memory_merge", "description": "【记忆清理】合并两个同义实体。将所有关系从 source 重定向到 target,然后彻底删除 source。注意:实体删除后不可恢复,合并前请确认语义一致。", "parameters": map[string]interface{}{ "type": "object", "properties": map[string]interface{}{ "source": map[string]interface{}{"type": "string", "description": "被合并的实体名(合并后消失)"}, "target": map[string]interface{}{"type": "string", "description": "保留的实体名"}, }, "required": []string{"source", "target"}, }, }, }) tools = append(tools, map[string]interface{}{ "type": "function", "function": map[string]interface{}{ "name": "memory_delete_entity", "description": "【记忆清理】彻底删除指定实体及其所有关联关系。用于清理无用的噪音实体,如 mentionCount=0 的孤立实体、distiller 自动产生的垃圾节点、确认无用的旧数据。此操作不可恢复。", "parameters": map[string]interface{}{ "type": "object", "properties": map[string]interface{}{ "name": map[string]interface{}{"type": "string", "description": "要删除的实体名称"}, }, "required": []string{"name"}, }, }, }) tools = append(tools, map[string]interface{}{ "type": "function", "function": map[string]interface{}{ "name": "memory_block_merge", "description": "【记忆清理】标记两个实体在指定轮次内不尝试合并,用于阻止误判。当 LLM 判断两个实体虽然相似但不是同一事物时,使用此工具阻止后续心跳自动推送合并候选。每次心跳扫描双方计数各减一,归零后恢复候选资格。", "parameters": map[string]interface{}{ "type": "object", "properties": map[string]interface{}{ "entity_a": map[string]interface{}{"type": "string", "description": "第一个实体名"}, "entity_b": map[string]interface{}{"type": "string", "description": "第二个实体名"}, "rounds": map[string]interface{}{"type": "integer", "description": "阻止轮次数(每次心跳各减一,归零后恢复)"}, }, "required": []string{"entity_a", "entity_b", "rounds"}, }, }, }) tools = append(tools, map[string]interface{}{ "type": "function", "function": map[string]interface{}{ "name": "memory_purge", "description": "【记忆清理】删除记忆库中符合条件的垃圾关系和数据。当用户要求整理记忆时,用 memory_introspect 发现低质量实体后,用此工具批量删除。如 @merged 后缀的残留实体、mentionCount=0 的孤立实体、distiller 自动生成的噪音关系等。支持软删(soft)和物理删除(hard)。", "parameters": map[string]interface{}{ "type": "object", "properties": map[string]interface{}{ "subject_contains": map[string]interface{}{"type": "string", "description": "主体名包含的关键词,如 '@merged' 可清理已合并残留"}, "relation_type": map[string]interface{}{"type": "string", "description": "关系类型,如 '提及'、'回应'"}, "target_contains": map[string]interface{}{"type": "string", "description": "客体名包含的关键词"}, "mode": map[string]interface{}{"type": "string", "description": "soft(标记删除)/ hard(物理删除)", "default": "soft"}, }, }, }, }) tools = append(tools, map[string]interface{}{ "type": "function", "function": map[string]interface{}{ "name": "memory_edit", "description": "【记忆清理】编辑单条记忆关系:删除旧的 relation 并写入新的。用于修正错误的实体名或关系类型。", "parameters": map[string]interface{}{ "type": "object", "properties": map[string]interface{}{ "old_subject": map[string]interface{}{"type": "string", "description": "旧主体名"}, "old_relation": map[string]interface{}{"type": "string", "description": "旧关系类型"}, "old_object": map[string]interface{}{"type": "string", "description": "旧客体名"}, "new_subject": map[string]interface{}{"type": "string", "description": "新主体名(不填则不变)"}, "new_relation": map[string]interface{}{"type": "string", "description": "新关系类型(不填则不变)"}, "new_object": map[string]interface{}{"type": "string", "description": "新客体名(不填则不变)"}, }, "required": []string{"old_subject", "old_relation", "old_object"}, }, }, }) } if a.knowledge != nil { tools = append(tools, map[string]interface{}{ "type": "function", "function": map[string]interface{}{ "name": "knowledge_search", "description": "搜索知识库。输入查询关键词,返回相关知识内容。", "parameters": map[string]interface{}{ "type": "object", "properties": map[string]interface{}{ "query": map[string]interface{}{"type": "string", "description": "查询关键词"}, "top_k": map[string]interface{}{"type": "integer", "description": "返回数量", "default": 5}, }, "required": []string{"query"}, }, }, }) tools = append(tools, map[string]interface{}{ "type": "function", "function": map[string]interface{}{ "name": "knowledge_list", "description": "列出知识库中所有知识分类。", "parameters": map[string]interface{}{ "type": "object", "properties": map[string]interface{}{}, }, }, }) } if a.knowledge != nil { tools = append(tools, map[string]interface{}{ "type": "function", "function": map[string]interface{}{ "name": "knowledge_create", "description": "创建新知识。将知识写入知识库(knowledge/目录),自动向量化索引。", "parameters": map[string]interface{}{ "type": "object", "properties": map[string]interface{}{ "name": map[string]interface{}{"type": "string", "description": "知识名称(用作目录名)"}, "content": map[string]interface{}{"type": "string", "description": "知识内容,支持 Markdown"}, }, "required": []string{"name", "content"}, }, }, }) tools = append(tools, map[string]interface{}{ "type": "function", "function": map[string]interface{}{ "name": "knowledge_delete", "description": "删除知识库中的指定知识条目。", "parameters": map[string]interface{}{ "type": "object", "properties": map[string]interface{}{ "name": map[string]interface{}{"type": "string", "description": "要删除的知识名称"}, }, "required": []string{"name"}, }, }, }) } if a.docStore != nil { tools = append(tools, map[string]interface{}{ "type": "function", "function": map[string]interface{}{ "name": "doc_query", "description": "查询文档记忆。输入查询内容,返回相关文档摘要。", "parameters": map[string]interface{}{ "type": "object", "properties": map[string]interface{}{ "query": map[string]interface{}{"type": "string", "description": "查询内容"}, "top_k": map[string]interface{}{"type": "integer", "description": "返回数量", "default": 3}, }, "required": []string{"query"}, }, }, }) tools = append(tools, map[string]interface{}{ "type": "function", "function": map[string]interface{}{ "name": "doc_commit", "description": "提交一条文档记忆。将重要信息显式写入文档记忆层。", "parameters": map[string]interface{}{ "type": "object", "properties": map[string]interface{}{ "content": map[string]interface{}{"type": "string", "description": "文档内容"}, "summary": map[string]interface{}{"type": "string", "description": "摘要(可选)"}, "tags": map[string]interface{}{ "type": "array", "description": "标签列表", "items": map[string]interface{}{"type": "string"}, }, "media_digests": map[string]interface{}{ "type": "array", "description": "可选:这篇文档关联的媒体 digest(对话或 memory_recall 的「关联媒体」里显示的十六进制串,短的即可)。填了以后检索到这篇文档就能看到并取回原图/音频。", "items": map[string]interface{}{"type": "string"}, }, }, "required": []string{"content"}, }, }, }) } if a.social != nil { tools = append(tools, map[string]interface{}{ "type": "function", "function": map[string]interface{}{ "name": "person_query", "description": "查询指定人物的完整档案(特质+社交关系)。用于了解一个人的性格、喜好、背景和社交圈。", "parameters": map[string]interface{}{ "type": "object", "properties": map[string]interface{}{ "name": map[string]interface{}{"type": "string", "description": "人物名称"}, }, "required": []string{"name"}, }, }, }) tools = append(tools, map[string]interface{}{ "type": "function", "function": map[string]interface{}{ "name": "person_set_trait", "description": "记录/更新一个人的特质(性格、喜好、习惯等)。例如:person_set_trait(name=\"张三\", trait=\"喜欢\", value=\"红色\")。如果该特质已存在则覆盖。", "parameters": map[string]interface{}{ "type": "object", "properties": map[string]interface{}{ "name": map[string]interface{}{"type": "string", "description": "人物名称"}, "trait": map[string]interface{}{"type": "string", "description": "特质名称,如:喜欢、性格、职业、年龄"}, "value": map[string]interface{}{"type": "string", "description": "特质值,如:红色、开朗、工程师、25岁"}, }, "required": []string{"name", "trait", "value"}, }, }, }) tools = append(tools, map[string]interface{}{ "type": "function", "function": map[string]interface{}{ "name": "person_relate", "description": "记录两个人之间的社交关系。例如:person_relate(person_a=\"张三\", relation=\"朋友\", person_b=\"李四\")。关系是双向的。", "parameters": map[string]interface{}{ "type": "object", "properties": map[string]interface{}{ "person_a": map[string]interface{}{"type": "string", "description": "人物A"}, "relation": map[string]interface{}{"type": "string", "description": "关系类型,如:朋友、家人、同事、邻居、同学"}, "person_b": map[string]interface{}{"type": "string", "description": "人物B"}, }, "required": []string{"person_a", "relation", "person_b"}, }, }, }) tools = append(tools, map[string]interface{}{ "type": "function", "function": map[string]interface{}{ "name": "person_network", "description": "查询某人的社交网络(多度关系)。显示该人物周围的相关人物及其关系和特质。", "parameters": map[string]interface{}{ "type": "object", "properties": map[string]interface{}{ "name": map[string]interface{}{"type": "string", "description": "人物名称"}, "depth": map[string]interface{}{"type": "integer", "description": "关系深度(默认2)", "default": 2}, }, "required": []string{"name"}, }, }, }) } if a.pluginReg != nil && a.pluginDir != "" { tools = append(tools, map[string]interface{}{ "type": "function", "function": map[string]interface{}{ "name": "plgreload", "description": "重载 plugins/ 目录的所有插件。扫描目录变更,原子化替换 IO 设备。", "parameters": map[string]interface{}{ "type": "object", "properties": map[string]interface{}{}, }, }, }) } // 按插件动态拉取工具定义(避免全量注入提示词污染) tools = append(tools, map[string]interface{}{ "type": "function", "function": map[string]interface{}{ "name": "get_plugin_tools", "description": "获取指定插件的完整工具定义(名称/参数/用途)。参数 plugin_name 传插件名(见系统提示的【可用工具能力】列表)。省略时返回全部插件的工具摘要。", "parameters": map[string]interface{}{ "type": "object", "properties": map[string]interface{}{ "plugin_name": map[string]interface{}{"type": "string", "description": "插件名,如 qq / remotedevice / weather", "default": ""}, }, }, }, }) tools = append(tools, map[string]interface{}{ "type": "function", "function": map[string]interface{}{ "name": "spawn_child", "description": "启动一个异步子 Agent 执行独立任务。子 Agent 后台运行,不阻塞当前对话。完成后系统会自动通知你,届时请调用 child_result 工具查看输出。\n使用时机:多个互不依赖的子任务(如同时查三个网站、分别处理多个文件)应并行 spawn 多个子 Agent,不要自己串行逐个执行;长耗时任务(批量处理、多轮搜索)也应交给子 Agent,避免阻塞对话。", "parameters": map[string]interface{}{ "type": "object", "properties": map[string]interface{}{ "task": map[string]interface{}{ "type": "string", "description": "要子 Agent 完成的任务描述。请描述清晰、完整,包含所有必要背景。", }, "max_turns": map[string]interface{}{ "type": "integer", "description": "子 Agent 最大工具轮数(默认 5,范围 1-30)。复杂任务可调高。", }, }, "required": []string{"task"}, }, }, }) tools = append(tools, map[string]interface{}{ "type": "function", "function": map[string]interface{}{ "name": "child_result", "description": "查询异步子 Agent 的执行结果。当收到'子任务已完成'的通知后,调用此工具获取输出。", "parameters": map[string]interface{}{ "type": "object", "properties": map[string]interface{}{ "task_id": map[string]interface{}{ "type": "string", "description": "spawn_child 返回的任务 ID,如 child_1", }, }, "required": []string{"task_id"}, }, }, }) if a.providerManager != nil { tools = append(tools, map[string]interface{}{ "type": "function", "function": map[string]interface{}{ "name": "llm_list_sources", "description": "列出所有可用的 LLM 源(如 deepseek、openai、ollama),每个源有对应的 Lua 适配器和配置。如需切换 LLM 源,请使用 llm_set_source。", "parameters": map[string]interface{}{ "type": "object", "properties": map[string]interface{}{}, }, }, }) tools = append(tools, map[string]interface{}{ "type": "function", "function": map[string]interface{}{ "name": "llm_set_source", "description": "切换当前 LLM 源到指定名称。变更立即生效,后续对话将使用新的 LLM 源。源名称可通过 llm_list_sources 查看。", "parameters": map[string]interface{}{ "type": "object", "properties": map[string]interface{}{ "name": map[string]interface{}{ "type": "string", "description": "LLM 源名称(如 deepseek、openai、ollama)", }, }, "required": []string{"name"}, }, }, }) } channels := a.io.ListChannels() for _, ch := range channels { if ch.Type != agentIO.DeviceOutput && ch.Type != agentIO.DeviceIO { continue } // 输出通道授权(设计 §4.4/R2):默认完整授权;父可用白名单收窄子的输出能力。 // 未授权就不生成 output_send__X —— 模型看不到它,自然不会调。 if !a.IsOutputAllowed(ch.Name) { continue } capStr := a.io.GetChannelCapabilities(ch.Name).String() desc := ch.Description if desc == "" { desc = ch.Name + " 输出通道" } tools = append(tools, map[string]interface{}{ "type": "function", "function": map[string]interface{}{ "name": "output_send__" + ch.Name, "description": desc + "。能力: " + capStr + "。payload 为消息载荷,meta 为 JSON 发送元数据,type 为载荷类型。用 _help 查看 meta 格式和 type 枚举。", "parameters": map[string]interface{}{ "type": "object", "properties": map[string]interface{}{ "payload": map[string]interface{}{ "type": "string", "description": "消息载荷。type=text 时填文字,type=file/image 时填 URL 或路径", }, "meta": map[string]interface{}{ "type": "string", "description": "JSON 对象,包含发送所需的元数据。用 output_send__" + ch.Name + "_help 查看 meta 格式", }, "type": map[string]interface{}{ "type": "string", "description": "载荷类型,用 channel._help 查看支持的枚举值", }, }, "required": []string{"payload", "type"}, }, }, }) tools = append(tools, map[string]interface{}{ "type": "function", "function": map[string]interface{}{ "name": "output_send__" + ch.Name + "_help", "description": "查看 " + ch.Name + " 输出通道的 meta 格式说明和 type 枚举", "parameters": map[string]interface{}{ "type": "object", "properties": map[string]interface{}{}, }, }, }) } tools = append(tools, map[string]interface{}{ "type": "function", "function": map[string]interface{}{ "name": "output_list_channels", "description": "列出所有可用输出通道及其能力(如 text/file/image/audio)和对应的输出门工具名称。", "parameters": map[string]interface{}{ "type": "object", "properties": map[string]interface{}{}, }, }, }) // 父侧:驻留子控制面(单工具多动作,见设计 §7)。 if a.parentID == "" { tools = append(tools, map[string]interface{}{ "type": "function", "function": map[string]interface{}{ "name": "resident_agents", "description": "管理驻留子 agent(长期派驻的下属):list 列出 / create 创建(划入 inputch + " + "授权输出通道 + 注入任务提示词)/ send 发送消息(对子而言是 L4 中断,取消其当前状态并插入新消息)" + "/ inspect 查看其 inputch 处理表(不打断它)/ compress 压缩其上下文(保留语义,子继续存在)" + "/ reclaim 回收(父选哪些纳入主记忆,然后取消该子)/ destroy 立刻销毁并移除。", "parameters": map[string]interface{}{ "type": "object", "properties": map[string]interface{}{ "action": map[string]interface{}{ "type": "string", "enum": []string{"list", "create", "send", "inspect", "compress", "reclaim", "destroy"}, }, "id": map[string]interface{}{"type": "string", "description": "驻留子 id"}, "task_prompt": map[string]interface{}{"type": "string", "description": "create:在固定提示词之上注入的任务提示词"}, "input_chs": map[string]interface{}{"type": "string", "description": "create:划入的 inputch(逗号分隔)"}, "allowed_outputs": map[string]interface{}{"type": "string", "description": "create:授权的输出通道(逗号分隔;留空=完整授权)"}, "capacity": map[string]interface{}{"type": "number", "description": "create:划入 inputch 的队列容量"}, "temp_path": map[string]interface{}{"type": "string", "description": "create:temp 图记忆路径(留空则用 data_dir/residents//graph.db)"}, "text": map[string]interface{}{"type": "string", "description": "send:要发给子 agent 的消息"}, }, "required": []string{"action"}, }, }, }) } // 子侧(驻留子):主动汇报(L3)与主动写处理表。 if a.parentID != "" { tools = append(tools, map[string]interface{}{ "type": "function", "function": map[string]interface{}{ "name": "notify_parent", "description": "向主 agent 汇报(以 L3 中断投给它)。用于主动报告进展/结论,而不是等它来问。", "parameters": map[string]interface{}{ "type": "object", "properties": map[string]interface{}{"text": map[string]interface{}{"type": "string", "description": "汇报内容"}}, "required": []string{"text"}, }, }, }) tools = append(tools, map[string]interface{}{ "type": "function", "function": map[string]interface{}{ "name": "inputch_note", "description": "为**本轮** inputch 主动写入处理信息(主 agent 会查这张表判断你的进度)。" + "写了就不会再被系统自动记录;不写则本轮结束时系统自动写。", "parameters": map[string]interface{}{ "type": "object", "properties": map[string]interface{}{"text": map[string]interface{}{"type": "string", "description": "本轮处理信息摘要"}}, "required": []string{"text"}, }, }, }) } tools = append(tools, map[string]interface{}{ "type": "function", "function": map[string]interface{}{ "name": "input_channels", "description": "查看 inputch(最基本的输入路由单位):哪些已注册、谁注册的、" + "各自划给了哪个 agent、容量与记忆策略。单工具多视图。", "parameters": map[string]interface{}{ "type": "object", "properties": map[string]interface{}{ "view": map[string]interface{}{ "type": "string", "description": "all=全部已注册(默认)| mine=划给本 agent 的 | " + "unassigned=尚未划出的 | by_agent=按归属分组的划分总览 | detail=单个详情", "enum": []string{"all", "mine", "unassigned", "by_agent", "detail"}, }, "name": map[string]interface{}{ "type": "string", "description": "view=detail 时必填:inputch 名", }, }, }, }, }) if a.pendingMedia != nil { tools = append(tools, map[string]interface{}{ "type": "function", "function": map[string]interface{}{ "name": "describe_image", "description": "描述当前用户上传的图片内容。使用配置的多模态模型或默认 LLM 进行识别。调用此工具后你将获得图片的详细文字描述。", "parameters": map[string]interface{}{ "type": "object", "properties": map[string]interface{}{ "provider": map[string]interface{}{ "type": "string", "description": "可选:用于图片描述的 LLM 源名称,不填则使用默认模型", }, "detail": map[string]interface{}{ "type": "string", "description": "描述详细程度: high / low / auto", "default": "high", }, }, }, }, }) tools = append(tools, map[string]interface{}{ "type": "function", "function": map[string]interface{}{ "name": "transcribe_audio", "description": "转写当前用户上传的音频内容为文字。使用配置的多模态模型或默认 LLM 进行语音识别。", "parameters": map[string]interface{}{ "type": "object", "properties": map[string]interface{}{ "provider": map[string]interface{}{ "type": "string", "description": "可选:用于音频转写的 LLM 源名称,不填则使用默认模型", }, }, }, }, }) if a.inputCfg.Image.OCREnabled { tools = append(tools, map[string]interface{}{ "type": "function", "function": map[string]interface{}{ "name": "ocr_image", "description": "对当前用户上传的图片执行 OCR 文字识别,提取图片中的文字内容。适用于截图、文档照片、菜单等场景。", "parameters": map[string]interface{}{ "type": "object", "properties": map[string]interface{}{ "language": map[string]interface{}{ "type": "string", "description": "OCR 语言(如 chi_sim+eng),默认自动", }, }, }, }, }) } } return tools }