48 lines
2.0 KiB
JSON
48 lines
2.0 KiB
JSON
{
|
||
"id": "conv_20251104_122057_060",
|
||
"title": "做带有多轮对话的agent，查询到返回的内容是tool还是system",
|
||
"created_at": "2025-11-04T12:20:57.060772",
|
||
"updated_at": "2025-11-04T12:21:43.062239",
|
||
"messages": [
|
||
{
|
||
"role": "user",
|
||
"content": "做带有多轮对话的agent，查询到返回的内容是tool还是system",
|
||
"timestamp": "2025-11-04T12:21:24.451044"
|
||
},
|
||
{
|
||
"role": "assistant",
|
||
"content": "我理解您想了解如何构建一个带有多轮对话能力的agent，以及查询返回的内容类型判断问题。让我先确认一下您的具体需求：\n\n## 我的理解\n您想要：\n1. 构建一个支持多轮对话的agent系统\n2. 能够判断查询返回的内容是来自tool（工具调用）还是system（系统响应）\n3. 实现对话状态管理和内容类型识别\n\n## 实现方案\n我计划这样做：\n1. 分析现有的对话系统架构\n2. 设计多轮对话状态管理机制\n3. 实现内容类型识别逻辑\n4. 创建示例代码和测试用例\n\n让我先搜索一些相关的技术资料，然后为您创建一个完整的实现方案。",
|
||
"timestamp": "2025-11-04T12:21:28.801283"
|
||
},
|
||
{
|
||
"role": "assistant",
|
||
"content": "",
|
||
"timestamp": "2025-11-04T12:21:28.803374",
|
||
"tool_calls": [
|
||
{
|
||
"id": "web_search:0",
|
||
"index": 0,
|
||
"type": "function",
|
||
"function": {
|
||
"name": "web_search",
|
||
"arguments": "{\"query\": \"multi-round dialogue agent system architecture tool vs system response identification\"}"
|
||
}
|
||
}
|
||
]
|
||
}
|
||
],
|
||
"todo_list": null,
|
||
"metadata": {
|
||
"project_path": "/opt/agent/agents/users/jojo/project",
|
||
"project_relative_path": "users/jojo/project",
|
||
"thinking_mode": true,
|
||
"total_messages": 3,
|
||
"total_tools": 1,
|
||
"status": "active"
|
||
},
|
||
"token_statistics": {
|
||
"total_input_tokens": 9798,
|
||
"total_output_tokens": 276,
|
||
"updated_at": "2025-11-04T12:21:43.062457"
|
||
}
|
||
} |