> ## Documentation Index
> Fetch the complete documentation index at: https://docs.memorylake.cn/llms.txt
> Use this file to discover all available pages before exploring further.

# 获取 Agent 版本

> 检索 Agent 的特定版本

```
GET /openapi/memorylake/api/v3/agents/{id}/versions/{version}
```

检索指定 Agent 的单个版本。使用此接口可以查看任何历史或当前版本的配置快照。

<Note>
  **所需权限：** `agent:version_read`
</Note>

### 路径参数

<ParamField path="id" type="string" required>
  Agent 标识符
</ParamField>

<ParamField path="version" type="integer" required>
  要检索的版本号
</ParamField>

<RequestExample>
  ```bash cURL theme={null}
  curl -X GET 'https://app.memorylake.cn/openapi/memorylake/api/v3/agents/agt_r8k2m1n3/versions/3' \
    -H 'Authorization: Bearer sk_xxxxxx'
  ```
</RequestExample>

### 响应

<ResponseField name="data" type="object">
  <Expandable title="Agent 版本对象">
    <ResponseField name="version" type="integer">版本号</ResponseField>
    <ResponseField name="model" type="string">此版本使用的模型</ResponseField>
    <ResponseField name="capabilities" type="array">能力标识符列表</ResponseField>

    <ResponseField name="policies" type="object">
      此版本的执行策略

      <Expandable title="Policies 对象">
        <ResponseField name="max_turns" type="integer">每次运行的最大对话轮次数</ResponseField>
        <ResponseField name="max_tool_calls" type="integer">每轮的最大工具调用次数</ResponseField>
        <ResponseField name="allow_tools" type="array">Agent 可调用的工具白名单</ResponseField>
        <ResponseField name="deny_tools" type="array">Agent 不可调用的工具黑名单</ResponseField>
        <ResponseField name="subagent_timeout" type="integer">子 Agent 在被取消前可运行的最大秒数</ResponseField>
        <ResponseField name="subagent_max_concurrency" type="integer">可同时运行的最大子 Agent 数量</ResponseField>
      </Expandable>
    </ResponseField>

    <ResponseField name="output" type="object">
      此版本的输出配置

      <Expandable title="Output 对象">
        <ResponseField name="mode" type="string">输出模式</ResponseField>
        <ResponseField name="json_schema" type="object">结构化输出的 JSON Schema</ResponseField>
      </Expandable>
    </ResponseField>

    <ResponseField name="subagents" type="array">
      此版本中的子 Agent 定义

      <Expandable title="Subagent 对象">
        <ResponseField name="name" type="string">子 Agent 名称</ResponseField>
        <ResponseField name="mode" type="string">子 Agent 的执行模式</ResponseField>
        <ResponseField name="context" type="string">传递给子 Agent 的上下文指令</ResponseField>
        <ResponseField name="inherit_tools" type="boolean">子 Agent 是否继承父 Agent 的工具</ResponseField>
      </Expandable>
    </ResponseField>

    <ResponseField name="skills" type="array">
      此版本中的技能

      <Expandable title="Skill 引用">
        <ResponseField name="skill_id" type="string">技能标识符</ResponseField>
        <ResponseField name="skill_version" type="integer">技能版本号</ResponseField>
      </Expandable>
    </ResponseField>

    <ResponseField name="agent_id" type="string">父 Agent 标识符</ResponseField>
    <ResponseField name="system_prompt" type="string">此版本使用的系统提示词</ResponseField>
    <ResponseField name="model_settings" type="object">此版本的模型特定设置</ResponseField>
    <ResponseField name="runtime_bindings" type="object">此版本的运行时绑定配置</ResponseField>
    <ResponseField name="created_at" type="string">版本创建时间戳</ResponseField>
  </Expandable>
</ResponseField>

<ResponseExample>
  ```json Success (200) theme={null}
  {
    "success": true,
    "data": {
      "version": 3,
      "model": "gpt-4o",
      "capabilities": ["tool_use", "memory_read", "memory_write"],
      "policies": {
        "max_turns": 20,
        "max_tool_calls": 10,
        "allow_tools": ["search_kb", "create_ticket"],
        "deny_tools": [],
        "subagent_timeout": 300,
        "subagent_max_concurrency": 3
      },
      "output": {
        "mode": "text",
        "json_schema": null
      },
      "subagents": [
        {
          "name": "ticket-creator",
          "mode": "delegate",
          "context": "Create support tickets from conversation context",
          "inherit_tools": false
        }
      ],
      "skills": [
        {
          "skill_id": "skl_kb_search",
          "skill_version": 2
        }
      ],
      "agent_id": "agt_r8k2m1n3",
      "system_prompt": "You are a helpful support assistant. Use the knowledge base to answer questions accurately.",
      "model_settings": {
        "temperature": 0.7,
        "max_tokens": 4096
      },
      "runtime_bindings": {
        "knowledge_base": "kb_prod_docs"
      },
      "created_at": "2025-04-22T14:30:00Z"
    }
  }
  ```
</ResponseExample>