coze如何对文档智能总结 coze创建知识库 上传文件到知识库 通过对话总结知识库文档 详细接口

1.首先创建一个智能体,发布,勾选api;获取智能体id;获取授权信息

参考文档:https://docs.coze.cn/developer_guides/preparation

2.接口

说明:所有接口请求头都需要传授权信息

2.1.创建知识库

接口:https://api.coze.cn/v1/datasets

请求参数示例:

复制代码
{
    "name": "产品文档",
    "description": "产品文档",
    "space_id": "7524871304085356583",
    "format_type": 2

}

2.2创建知识库文件

接口:https://api.coze.cn/open_api/knowledge/document/create

请求头必须传:Agw-Js-Conv:str

请求参数示例:

复制代码
{
    "dataset_id": "7617756792320131107",
    "format_type": 0,
    "document_bases": [
        {
            "name": "测试担保有限公司.docx",
            "source_info": {
                "file_base64": "xxx",
                "file_type": "docx"
            }
        }
    ],
    "chunk_strategy": {
        "separator": "\n\n",
        "max_tokens": 800,
        "remove_extra_spaces": false,
        "remove_urls_emails": false,
        "chunk_type": 1
    }
}

响应示例:

复制代码
{
    "code": 0,
    "detail": {
        "logid": "20260316194941189A72C5ABD4DBC2BAC2"
    },
    "document_infos": [
        {
            "char_count": 0,
            "chunk_strategy": {},
            "create_time": 0,
            "document_id": "xxx",
            "document_id_new": "xxx",
            "format_type": 0,
            "hit_count": 0,
            "name": "测试担xxx.docx",
            "size": 0,
            "slice_count": 0,
            "source_type": 0,
            "status": 0,
            "type": "",
            "update_interval": 0,
            "update_time": 0,
            "update_type": 0
        }
    ],
    "msg": ""
}

2.3发起对话

接口路径:https://api.coze.cn/v3/chat

请求参数示例:

复制代码
{
    "bot_id": "7617473388323356698", 
    "user_id": "1", 
    "stream": false,
    "auto_save_history": true, 
    "additional_messages": [ 
        {
            "role": "user",
            "content": "总结知识库中《xxx.docx》的核心内容,结构为:文档主题+核心要点3点+关键结论,分点清晰", 
            "content_type": "text",
            "type": "question" 
        }
    ]
}

响应示例:

复制代码
{
    "data": {
        "id": "7617814329392857114",
        "conversation_id": "7617814329392807962",
        "bot_id": "7617473388323356698",
        "created_at": 1773660614,
        "last_error": {
            "code": 0,
            "msg": ""
        },
        "status": "in_progress"
    },
    "code": 0,
    "msg": ""
}

2.4查看对话消息详情

接口路径:https://api.coze.cn/v3/chat/message/list?conversation_id=7xxx&chat_id=xxx

响应结果示例:

复制代码
{
    "code": 0,
    "data": [
        {
            "bot_id": "7617473388323356698",
            "chat_id": "7617813593530138662",
            "content": "xxx",
            "content_type": "text",
            "conversation_id": "7617813593530105894",
            "created_at": 1773660443,
            "id": "7617813594654244910",
            "reasoning_content": "用户让我总结《测试x.docx》的核心内容,x",
            "role": "assistant",
            "type": "answer",
            "updated_at": 1773660461
        },
        {
            "bot_id": "7617473388323356698",
            "chat_id": "7617813593530138662",
            "content": "{\"msg_type\":\"generate_answer_finish\",\"data\":\"{\\\"finish_reason\\\":0,\\\"FinData\\\":\\\"\\\"}\",\"from_module\":null,\"from_unit\":null}",
            "content_type": "text",
            "conversation_id": "7617813593530105894",
            "created_at": 1773660464,
            "id": "7617813684799078446",
            "role": "assistant",
            "type": "verbose",
            "updated_at": 1773660463
        },
        {
            "bot_id": "7617473388323356698",
            "chat_id": "7617813593530138662",
            "content": "文档中提到的"xxx体是怎样运作的?",
            "content_type": "text",
            "conversation_id": "7617813593530105894",
            "created_at": 1773660464,
            "id": "7617813684799143982",
            "role": "assistant",
            "type": "follow_up",
            "updated_at": 1773660463
        },
        {
            "bot_id": "7617473388323356698",
            "chat_id": "7617813593530138662",
            "content": "xxx对行业有何影响?",
            "content_type": "text",
            "conversation_id": "7617813593530105894",
            "created_at": 1773660464,
            "id": "7617813684799160366",
            "role": "assistant",
            "type": "follow_up",
            "updated_at": 1773660463
        },
        {
            "bot_id": "7617473388323356698",
            "chat_id": "7617813593530138662",
            "content": "休闲鞋体系?",
            "content_type": "text",
            "conversation_id": "7617813593530105894",
            "created_at": 1773660464,
            "id": "7617813684799176750",
            "role": "assistant",
            "type": "follow_up",
            "updated_at": 1773660463
        }
    ],
    "detail": {
        "logid": "20260316192801EBDBDE5E6EA875F0BB6E"
    },
    "msg": ""
}
相关推荐
软件资深者21 小时前
Coze自动化工作流+Agent智能体实战教程(0基础入门,附多场景实操)
运维·人工智能·ai·自动化·工作流·扣子·课程
大写-凌祁1 天前
Earth-Agent:Unlocking the Full Landscape of Earth Observation with Agents
人工智能·语言模型·agent·智能体
吾鳴1 天前
扣子(Coze)实战:惊了!公众号这样玩老梗,一分钟一篇,粉丝追着笑
coze
hjuan___1 天前
扣子(Coze)零基础入门全攻略|扣子(Coze)核心功能详解,含长期记忆、快捷指令、音视频处理及私有化部署指南
ai·工作流·智能体·扣子(coze)
GJGCY3 天前
2026企业级AI智能体架构对比:RPA+大模型融合在财务场景的表现
大数据·人工智能·ai·rpa·智能体
GJGCY3 天前
2026制造业RPA技术落地指南:7大核心场景架构对比与跨系统集成实践
人工智能·ai·自动化·制造·rpa·制造业·智能体
樂油3 天前
扣子平台创建自己的插件
ai·扣子·聚合数据
Hardworking6663 天前
OpenClaw的特点、产品架构、市场机遇、安全风险
人工智能·安全·架构·智能体·openclaw
云道轩4 天前
Langflow 1.8 正式发布:集中式提供商配置、更可预测的工作流 API,以及 UI 中更快速的调试与迭代。
人工智能·智能体·langflow