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The main function of the Nano Banana Tasks API is to query the execution status of a task by inputting the task ID generated by the Nano Banana Images API. This document will provide detailed integration instructions for the Nano Banana Tasks API, helping you easily integrate and fully utilize the powerful features of this API. With the Nano Banana Tasks API, you can easily query the execution status of tasks from the Nano Banana Images API.

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Request Example

The Nano Banana Tasks API can be used to query the results of the Nano Banana Images API. For information on how to use the Nano Banana Images API, please refer to the document Nano Banana Images API. We will demonstrate how to use this API with an example task ID returned by the Nano Banana Images API. Suppose we have a task ID: 4d320ead-4af4-4a55-8f3e-f2afebdf4fd0, we will show how to pass in a task ID.

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Task Example Image

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Setting Request Headers and Request Body

Request Headers include:
  • accept: Specifies that the response should be in JSON format, set to application/json.
  • authorization: The key for calling the API, which can be selected directly after application.
Request Body includes:
  • id: The uploaded task ID.
  • action: The operation method for the task.
Set as shown in the image below:

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Code Example

You can see that various language codes have been automatically generated on the right side of the page, as shown in the image:

Some code examples are as follows:

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CURL

curl -X POST 'https://api.acedata.cloud/nano-banana/tasks' \
-H 'accept: application/json' \
-H 'authorization: Bearer {token}' \
-H 'content-type: application/json' \
-d '{
  "id": "4d320ead-4af4-4a55-8f3e-f2afebdf4fd0",
  "action": "retrieve"
}'

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Python

import requests

url = "https://api.acedata.cloud/nano-banana/tasks"

headers = {
    "accept": "application/json",
    "authorization": "Bearer {token}",
    "content-type": "application/json"
}

payload = {
    "id": "4d320ead-4af4-4a55-8f3e-f2afebdf4fd0",
    "action": "retrieve"
}

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

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Response Example

Upon successful request, the API will return the details of the task here. For example: 
{
  "_id": "68bc7c3c550a4144a53d0e24",
  "id": "4d320ead-4af4-4a55-8f3e-f2afebdf4fd0",
  "api_id": "9d8a117e-31ca-4322-a0fd-1771296ec610",
  "application_id": "8afd681a-2a4e-4265-aecb-43970094c019",
  "created_at": 1757183036.787,
  "credential_id": "097b2987-62f4-4ac0-b0cc-aed41e372a07",
  "request": {
    "action": "generate",
    "prompt": "a white siamese cat"
  },
  "trace_id": "7ba1f1e8-0ef8-450d-8bb2-b5c3bf1ea319",
  "type": "images",
  "user_id": "b87f67c1-b04f-4332-99a1-7a5e651331c6",
  "response": {
    "success": true,
    "task_id": "4d320ead-4af4-4a55-8f3e-f2afebdf4fd0",
    "trace_id": "7ba1f1e8-0ef8-450d-8bb2-b5c3bf1ea319",
    "data": [
      {
        "prompt": "a white siamese cat",
        "image_url": "https://platform.cdn.acedata.cloud/nanobanana/7e7bd000-698a-4e14-bb2d-3db61237e4bb.png"
      }
    ]
  }
}
The returned result contains multiple fields, where the request field is the request body when the task was initiated, and the response field is the response body returned after the task is completed. The field descriptions are as follows.
  • id: The ID of the generated task, used to uniquely identify this generation task.
  • request: The request information in the task query.
  • response: The return information in the task query.

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Batch Query Operation

This is for querying task details for multiple task IDs, and unlike the above, the action needs to be selected as retrieve_batch. Request Body includes:
  • ids: An array of uploaded task IDs.
  • action: The operation method for the task.
Example as follows: 
curl -X POST 'https://api.acedata.cloud/nano-banana/tasks' \
-H 'accept: application/json' \
-H 'authorization: Bearer {token}' \
-H 'content-type: application/json' \
-d '{
  "ids": ["1ebe4f2b-59ba-4385-a4ea-0ce8a3fe12ed","1ebe4f2b-59ba-4385-a4ea-0ce8a3fe12ed"],
  "action": "retrieve_batch"
}'

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Response Example

Upon successful request, the API will return the specific details of all batch tasks. For example: 
{
  "items": [
    {
      "_id": "68bc7c3c550a4144a53d0e24",
      "id": "4d320ead-4af4-4a55-8f3e-f2afebdf4fd0",
      "api_id": "9d8a117e-31ca-4322-a0fd-1771296ec610",
      "application_id": "8afd681a-2a4e-4265-aecb-43970094c019",
      "created_at": 1757183036.787,
      "credential_id": "097b2987-62f4-4ac0-b0cc-aed41e372a07",
      "request": {
        "action": "generate",
        "prompt": "a white siamese cat"
      },
      "trace_id": "7ba1f1e8-0ef8-450d-8bb2-b5c3bf1ea319",
      "type": "images",
      "user_id": "b87f67c1-b04f-4332-99a1-7a5e651331c6",
      "response": {
        "success": true,
        "task_id": "4d320ead-4af4-4a55-8f3e-f2afebdf4fd0",
        "trace_id": "7ba1f1e8-0ef8-450d-8bb2-b5c3bf1ea319",
        "data": [
          {
            "prompt": "a white siamese cat",
            "image_url": "https://platform.cdn.acedata.cloud/nanobanana/7e7bd000-698a-4e14-bb2d-3db61237e4bb.png"
          }
        ]
      }
    }
  ],
  "count": 1
}
The returned result contains multiple fields, where items include the specific details of the batch tasks, and the specific information of each task is the same as the fields mentioned above. The field information is as follows.
  • items: All specific details of the batch tasks. It is an array, and each element of the array has the same format as the return result of querying a single task.
  • count: The number of tasks in this batch query.

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Error Handling

When calling the API, if an error occurs, the API will return the corresponding error code and message. For example:
  • 400 token_mismatched: Bad request, possibly due to missing or invalid parameters.
  • 400 api_not_implemented: Bad request, possibly due to missing or invalid parameters.
  • 401 invalid_token: Unauthorized, invalid or missing authorization token.
  • 429 too_many_requests: Too many requests, you have exceeded the rate limit.
  • 500 api_error: Internal server error, something went wrong on the server.

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Error Response Example

{
  "success": false,
  "error": {
    "code": "api_error",
    "message": "fetch failed"
  },
  "trace_id": "2cf86e86-22a4-46e1-ac2f-032c0f2a4e89"
}

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Conclusion

Through this document, you have learned how to use the Nano Banana Tasks API to query details for single or batch tasks. We hope this document helps you better integrate and use the API. If you have any questions, please feel free to contact our technical support team.