搜索智能体

curl --request POST \
  --url http://localhost:38080/v1/agents:search \
  --header 'Content-Type: application/json' \
  --header 'X-Api-Key: <api-key>' \
  --data '
{
  "name": "<string>"
}
'

import requests

url = "http://localhost:38080/v1/agents:search"

payload = { "name": "<string>" }
headers = {
    "X-Api-Key": "<api-key>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {'X-Api-Key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({name: '<string>'})
};

fetch('http://localhost:38080/v1/agents:search', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "http://localhost:38080/v1/agents:search"

	payload := strings.NewReader("{\n  \"name\": \"<string>\"\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("X-Api-Key", "<api-key>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

{
  "data": [
    {
      "id": "agent_011CZkYpogX7uDKUyvBTophP",
      "archived_at": null,
      "created_at": "2026-03-15T10:00:00Z",
      "description": "通用入门智能体。",
      "mcp_servers": [
        {
          "name": "example-mcp",
          "type": "url",
          "url": "https://example-server.modelcontextprotocol.io/sse"
        }
      ],
      "metadata": {
        "foo": "bar"
      },
      "model": {
        "id": "claude-sonnet-4-6",
        "effort": {
          "type": "low"
        },
        "inference_geo": "inference_geo",
        "speed": "standard"
      },
      "multiagent": {
        "agents": [
          {
            "id": "agent_011CZkYqphY8vELVzwCUpqiQ",
            "type": "agent",
            "version": 1
          }
        ],
        "type": "coordinator"
      },
      "name": "我的第一个智能体",
      "skills": [
        {
          "skill_id": "xlsx",
          "type": "anthropic",
          "version": "1"
        },
        {
          "skill_id": "skill_011CZkZFNu9hAbo3jZPRgTlx",
          "type": "custom",
          "version": "2"
        }
      ],
      "system": "你是一个通用智能体，可以研究问题、编写代码、运行命令并使用已连接的工具，端到端地完成用户任务。",
      "tools": [
        {
          "configs": [
            {
              "enabled": true,
              "name": "bash",
              "permission_policy": {
                "type": "always_allow"
              }
            }
          ],
          "default_config": {
            "enabled": true,
            "permission_policy": {
              "type": "always_ask"
            }
          },
          "type": "agent_toolset_20260401"
        }
      ],
      "type": "agent",
      "updated_at": "2026-03-15T10:00:00Z",
      "version": 1
    }
  ],
  "next_page": "<string>"
}