登录后按这条路径过一遍，结束时你会拥有：1 个知识库 + 对话智能体 + 数据分析智能体 + 4 把 API Key。 Walk through this path after login. By the end you will have: 1 knowledge base + a chat agent + a data analysis agent + 4 API Keys.
知识库是资料的容器，按主题划分。
A knowledge base is a topical container for your materials.
把准备好的资料上传进去，等解析完成。
Upload your materials and wait for parsing to finish.
基于已入库的文件自动生成关键词节点与关联。
Auto-generated keyword nodes and relations from your files.
对话智能体绑定文档知识库；数据分析智能体绑定含 .xlsx 的知识库。
Bind the chat agent to the document KB; bind the data analysis agent to the KB with an .xlsx file.
直接在平台里问一两个问题，确认知识库能答上来。
Ask one or two questions on the platform to confirm the agent answers from your KB.
查看平台开放了哪些 API、对应文档在哪里。
See which APIs are available and where the docs live.
上传 / 对话 / 数据分析 / 图谱
Upload / Chat / Data Analysis / Graph
复制并妥善保存，等下交给 OpenClaw 用。
Copy and save them — you'll hand them to OpenClaw next.
前置：已准备好「上传文件」API Key。 Prerequisite: the "Upload File" API Key is ready.
你是第二大脑 API 调用助手。请按以下信息上传 "本地文件路径，如：E:\中国通史助手\2023年中国十大旅游目的地必去城市.docx" 文件。 Base URL: https://test.2brain.ai/api/ Endpoint: /kbase/v1/upload_file Method: POST Headers: - Authorization: Bearer 【填入你的「上传文件」API Key】 - Content-Type: multipart/form-data Form Data: - file: 本次对话上传的文件 - file_name: 上传文件的完整文件名（含扩展名）
You are a 2Brain API calling assistant. Please upload the file at the path below. Local file path (example): E:\China_History_Assistant\Top_10_Travel_Cities_2023.docx Base URL: https://test.2brain.ai/api/ Endpoint: /kbase/v1/upload_file Method: POST Headers: - Authorization: Bearer [your "Upload File" API Key] - Content-Type: multipart/form-data Form Data: - file: the file attached to this conversation - file_name: the full filename including extension
到第二大脑知识库文件列表，确认文件已挂载。
Open the 2Brain knowledge base file list and confirm the file has been added.
前置：已准备好对话智能体的「发起对话」API Key。 Prerequisite: the chat agent's "Chat" API Key is ready.
你是第二大脑 API 调用助手。请按以下信息向对话智能体发起一次非流式对话。
Base URL: https://test.2brain.ai/api/
Endpoint: /bot/chat/v1/chat/completions
Method: POST
Headers:
- Authorization: Bearer 【填入你的「发起对话」API Key】
- Content-Type: application/json
Body:
{
"messages": [
{ "role": "user", "content": "【填入要问的问题】" }
],
"stream": false
}
You are a 2Brain API calling assistant. Please send one non-streaming chat to the agent below.
Base URL: https://test.2brain.ai/api/
Endpoint: /bot/chat/v1/chat/completions
Method: POST
Headers:
- Authorization: Bearer [your "Chat" API Key]
- Content-Type: application/json
Body:
{
"messages": [
{ "role": "user", "content": "[your question here]" }
],
"stream": false
}
前置：已准备好「关键词图谱」API Key。 Prerequisite: the "Keyword Graph" API Key is ready.
你是第二大脑 API 调用助手。请按以下信息拉取指定知识库的关键词图谱。
Base URL: https://test.2brain.ai/api/
Endpoint: /kbase/keywords/keyword_api
Method: POST
Headers:
- Authorization: Bearer 【填入你的「关键词图谱」API Key】
- Content-Type: application/json
Body:
{
"base_id": 【填入知识库 ID】
}
You are a 2Brain API calling assistant. Please fetch the keyword graph of the given knowledge base.
Base URL: https://test.2brain.ai/api/
Endpoint: /kbase/keywords/keyword_api
Method: POST
Headers:
- Authorization: Bearer [your "Keyword Graph" API Key]
- Content-Type: application/json
Body:
{
"base_id": [knowledge base ID]
}
到平台关键词图谱页面，比对返回内容与可视化图谱。
Open the platform's keyword graph page and compare the response with the visualization.
前置：已生成数据分析智能体对话 API Key。 Prerequisite: the Data Analysis Agent Chat API Key has been generated.
你是第二大脑 API 调用助手。请按以下信息向数据分析智能体发起对话。
Base URL: https://test.2brain.ai/api/
Endpoint: /bot/chat/v1/chat/completions
Method: POST
Headers:
- Authorization: Bearer 【填入你的「数据分析智能体」API Key】
- Content-Type: application/json
Body:
{
"messages": [
{ "role": "user", "content": "帮我分析报名数据，输出成团人数最多的是哪一个，团长有哪些，团员有哪些" }
],
"stream": false
}
You are a 2Brain API calling assistant. Please send a chat request to the data analysis agent below.
Base URL: https://test.2brain.ai/api/
Endpoint: /bot/chat/v1/chat/completions
Method: POST
Headers:
- Authorization: Bearer [your "Data Analysis Agent" API Key]
- Content-Type: application/json
Body:
{
"messages": [
{ "role": "user", "content": "Analyze the registration data. Tell me which team has the most members, who the team leader is, and who the members are." }
],
"stream": false
}
