refactor(tooldefs): buildToolDefs 614→273 行(抽 toolDef 助手,schema 形状不变)

原实现每条工具都是 4 层嵌套的 map[string]interface{} 字面量(约 20 行/条),
40+ 条堆成 614 行的巨型函数。新增 toolDef(name, desc, props, required...)
助手消除外层样板;所有 name/description/properties/required 文本**逐字保留**
(用 go/ast 定位原样搬迁,非重新键入),schema 形状与 JSON 输出不变。

验证:go build ./... / go vet / go test ./internal/agent/core/ 全绿;
AST 实测 614→273 行,非测试函数 ≥300 行数由 4 降到 3。
This commit is contained in:
HomeAgent Agent
2026-09-13 22:17:45 +08:00
parent 6878f0126d
commit 431bb5a0c9

View File

@ -208,6 +208,30 @@ func (a *Agent) buildToolCatalog() string {
return sb.String()
}
// toolDef 构造一个 OpenAI function-call 工具 schema。
//
// 存在的理由:这张工具表里每一条原本都是 4 层嵌套的
// map[string]interface{} 字面量(约 20 行/条);本助手把它压成一次调用,
// 只消除重复、不改变 schema 形状——properties 原样保留(空表仍序列化为 {}
// required 为空则整个键省略。
func toolDef(name, description string, properties map[string]interface{}, required ...string) map[string]interface{} {
params := map[string]interface{}{
"type": "object",
"properties": properties,
}
if len(required) > 0 {
params["required"] = required
}
return map[string]interface{}{
"type": "function",
"function": map[string]interface{}{
"name": name,
"description": description,
"parameters": params,
},
}
}
func (a *Agent) buildToolDefs() []interface{} {
var tools []interface{}
@ -244,371 +268,134 @@ func (a *Agent) buildToolDefs() []interface{} {
}
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"},
},
},
})
tools = append(tools, toolDef("persona_set", "【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。", 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)"},
}, "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"},
},
},
})
tools = append(tools, toolDef("memory_merge", "【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。", 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"},
}, "source", "target"))
tools = append(tools, toolDef("memory_delete_entity", "【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。", map[string]interface{}{
"name": map[string]interface{}{"type": "string", "description": "要删除的实体名称"},
}, "name"))
tools = append(tools, toolDef("memory_block_merge", "【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。", 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)"},
}, "entity_a", "entity_b", "rounds"))
tools = append(tools, toolDef("memory_purge", "【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。", 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, toolDef("memory_edit", "【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。", 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)"},
}, "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{}{},
},
},
})
tools = append(tools, toolDef("knowledge_search", "搜索知识库。输入查询关键词,返回相关知识内容。", 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},
}, "query"))
tools = append(tools, toolDef("knowledge_list", "列出知识库中所有知识分类。", 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"},
},
},
})
tools = append(tools, toolDef("knowledge_create", "创建新知识。将知识写入知识库knowledge/目录),自动向量化索引。", 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"},
}, "name", "content"))
tools = append(tools, toolDef("knowledge_delete", "删除知识库中的指定知识条目。", map[string]interface{}{
"name": map[string]interface{}{"type": "string", "description": "要删除的知识名称"},
}, "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, toolDef("doc_query", "查询文档记忆。输入查询内容,返回相关文档摘要。", 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},
}, "query"))
tools = append(tools, toolDef("doc_commit", "提交一条文档记忆。将重要信息显式写入文档记忆层。", 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"},
},
})
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"},
},
"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"},
},
})
}, "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"},
},
},
})
tools = append(tools, toolDef("person_query", "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。", map[string]interface{}{
"name": map[string]interface{}{"type": "string", "description": "人物名称"},
}, "name"))
tools = append(tools, toolDef("person_set_trait", "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。", 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": "特质值红色、开朗、工程师、25岁"},
}, "name", "trait", "value"))
tools = append(tools, toolDef("person_relate", "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。", 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"},
}, "person_a", "relation", "person_b"))
tools = append(tools, toolDef("person_network", "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。", 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},
}, "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{}{},
},
},
})
tools = append(tools, toolDef("plgreload", "重载 plugins/ 目录的所有插件。扫描目录变更,原子化替换 IO 设备。", 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, toolDef("get_plugin_tools", "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。", 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, toolDef("spawn_child", "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。", 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。",
},
})
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"},
},
"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。",
},
})
}, "task"))
tools = append(tools, toolDef("child_result", "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。", map[string]interface{}{
"task_id": map[string]interface{}{
"type": "string",
"description": "spawn_child 返回的任务 ID如 child_1",
},
}, "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, toolDef("llm_list_sources", "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。", map[string]interface{}{}))
tools = append(tools, toolDef("llm_set_source", "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。", map[string]interface{}{
"name": map[string]interface{}{
"type": "string",
"description": "LLM 源名称(如 deepseek、openai、ollama",
},
})
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"},
},
},
})
}, "name"))
}
channels := a.io.ListChannels()
@ -627,196 +414,92 @@ func (a *Agent) buildToolDefs() []interface{} {
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type 默认 text可省略meta 为 JSON 发送元数据。用 _help 查看 meta 格式与 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,默认 text其它枚举用 channel._help 查看",
},
},
"required": []string{"payload"},
},
tools = append(tools, toolDef("output_send__"+ch.Name, desc+"。能力: "+capStr+"。payload 为消息载荷type 默认 text可省略meta 为 JSON 发送元数据。用 _help 查看 meta 格式与 type 枚举。", 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,默认 text其它枚举用 channel._help 查看",
},
}, "payload"))
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, toolDef("output_send__"+ch.Name+"_help", "查看 "+ch.Name+" 输出通道的 meta 格式说明和 type 枚举", 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{}{},
},
},
})
tools = append(tools, toolDef("output_list_channels", "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。", 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": "createtemp 图记忆路径(留空则用 data_dir/residents/<id>/graph.db"},
"text": map[string]interface{}{"type": "string", "description": "send要发给子 agent 的消息"},
},
"required": []string{"action"},
},
tools = append(tools, toolDef("resident_agents", "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。", 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": "createtemp 图记忆路径(留空则用 data_dir/residents/<id>/graph.db"},
"text": map[string]interface{}{"type": "string", "description": "send要发给子 agent 的消息"},
}, "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, toolDef("notify_parent", "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。", map[string]interface{}{"text": map[string]interface{}{"type": "string", "description": "汇报内容"}}, "text"))
tools = append(tools, toolDef("inputch_note", "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。", map[string]interface{}{"text": map[string]interface{}{"type": "string", "description": "本轮处理信息摘要"}}, "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",
},
},
},
tools = append(tools, toolDef("input_channels", "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。", 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, toolDef("describe_image", "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。", 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",
},
})
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",
},
},
},
"detail": map[string]interface{}{
"type": "string",
"description": "描述详细程度: high / low / auto",
"default": "high",
},
})
}))
tools = append(tools, toolDef("transcribe_audio", "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。", 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",
},
},
},
tools = append(tools, toolDef("ocr_image", "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。", map[string]interface{}{
"language": map[string]interface{}{
"type": "string",
"description": "OCR 语言(如 chi_sim+eng默认自动",
},
})
}))
}
}