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

# 获取图像状态

> 获取异步图像生成任务的状态和结果

## 路径参数

<ParamField path="id" type="string" required>
  初始图像生成请求返回的任务 ID。
</ParamField>

<Info>
  如果创建响应中包含 `poll_url`，建议优先调用该特定 URL 进行轮询。某些图像任务可能会在 `/v1/tasks/{id}` 下显示 `poll_url`，而不是图像特定的状态路径。

  你也可以用 `/v1/images/{id}` 轮询 `ldtask_...` 这类公开图片任务 ID。这个兼容 alias 会复用与 `/v1/images/generations/{id}` 完全相同的鉴权、ownership 检查、计费 header、终态快照和响应形状。

  如果该任务已不存在或无法再从公开任务记录中查询到，TokenLab 会返回 `async_task_not_found`，并附带消息 `Task not found or no longer available.`
</Info>

## 响应

<ResponseField name="created" type="integer">
  创建时的 Unix 时间戳。
</ResponseField>

<ResponseField name="task_id" type="string">
  任务标识符。
</ResponseField>

<ResponseField name="status" type="string">
  任务状态：`pending`、`processing`、`completed` 或 `failed`。
</ResponseField>

<ResponseField name="data" type="array">
  生成的图像数组（当 `status` 为 `completed` 时填充）。

  每个对象包含：

  * `url` (string): 生成图像的 URL
  * `revised_prompt` (string): 用于生成的提示词
</ResponseField>

<ResponseField name="error" type="string">
  错误信息（仅在 `status` 为 `failed` 时存在）。
</ResponseField>

<RequestExample>
  ```bash cURL theme={null}
  curl "https://api.tokenlab.sh/v1/tasks/ldtask_aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa" \
    -H "Authorization: Bearer sk-your-api-key"
  ```

  ```python Python theme={null}
  import requests

  response = requests.get(
      "https://api.tokenlab.sh/v1/tasks/ldtask_aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
      headers={"Authorization": "Bearer sk-your-api-key"}
  )

  data = response.json()
  print(f"Status: {data['status']}")

  if data["status"] == "completed":
      print(f"Image URL: {data['data'][0]['url']}")
  ```

  ```javascript JavaScript theme={null}
  const response = await fetch(
    'https://api.tokenlab.sh/v1/tasks/ldtask_aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa',
    {
      headers: {
        'Authorization': 'Bearer sk-your-api-key'
      }
    }
  );

  const data = await response.json();
  console.log(`Status: ${data.status}`);

  if (data.status === 'completed') {
    console.log(`Image URL: ${data.data[0].url}`);
  }
  ```
</RequestExample>

<ResponseExample>
  ```json Pending theme={null}
  {
    "created": 1706000000,
    "id": "ldtask_aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
    "task_id": "ldtask_aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
    "poll_url": "/v1/tasks/ldtask_aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
    "status": "pending",
    "data": [
      {
        "url": "",
        "revised_prompt": "a beautiful sunset over mountains"
      }
    ]
  }
  ```

  ```json Completed theme={null}
  {
    "created": 1706000000,
    "id": "ldtask_aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
    "task_id": "ldtask_aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
    "poll_url": "/v1/tasks/ldtask_aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
    "status": "completed",
    "data": [
      {
        "url": "https://cdn.example.com/generated/image-abc123.png",
        "revised_prompt": "a beautiful sunset over mountains with vibrant orange and purple colors"
      }
    ]
  }
  ```

  ```json Failed theme={null}
  {
    "created": 1706000000,
    "id": "ldtask_aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
    "task_id": "ldtask_aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
    "poll_url": "/v1/tasks/ldtask_aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
    "status": "failed",
    "error": "Content policy violation",
    "data": []
  }
  ```
</ResponseExample>

## 轮询最佳实践

<Tip>
  **建议轮询间隔**：3-5 秒。大多数图像生成任务在 30-120 秒内完成，具体取决于模型和路由的提供商路径。
</Tip>

```python theme={null}
import requests
import time

def poll_image_task(task_id, api_key, max_wait=300, interval=3):
    """Poll for image generation result with timeout."""
    url = f"https://api.tokenlab.sh/v1/tasks/{task_id}"
    headers = {"Authorization": f"Bearer {api_key}"}

    start_time = time.time()
    while time.time() - start_time < max_wait:
        response = requests.get(url, headers=headers)
        data = response.json()

        if data["status"] == "completed":
            return data["data"][0]["url"]
        elif data["status"] == "failed":
            raise Exception(data.get("error", "Generation failed"))

        time.sleep(interval)

    raise TimeoutError(f"Task {task_id} did not complete within {max_wait}s")

# Usage
image_url = poll_image_task("ldtask_aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "sk-your-api-key")
print(f"Generated image: {image_url}")
```