curl --request POST \
  --url https://api.together.ai/v1/shaping/prepare-for-fp4-inference \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "inputs": {
    "adapter_object_id": "ml_CeG3fF6pyEViU8dE8pk7R",
    "adapter_revision_id": "rv_CeG3faPBj2ABwbAaHPTmx",
    "calibration_file_id": "file-5f1b0c7a-2d19-4a3e-9c60-8ab41c2f7d35"
  }
}
'

import requests

url = "https://api.together.ai/v1/shaping/prepare-for-fp4-inference"

payload = { "inputs": {
        "adapter_object_id": "ml_CeG3fF6pyEViU8dE8pk7R",
        "adapter_revision_id": "rv_CeG3faPBj2ABwbAaHPTmx",
        "calibration_file_id": "file-5f1b0c7a-2d19-4a3e-9c60-8ab41c2f7d35"
    } }
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    inputs: {
      adapter_object_id: 'ml_CeG3fF6pyEViU8dE8pk7R',
      adapter_revision_id: 'rv_CeG3faPBj2ABwbAaHPTmx',
      calibration_file_id: 'file-5f1b0c7a-2d19-4a3e-9c60-8ab41c2f7d35'
    }
  })
};

fetch('https://api.together.ai/v1/shaping/prepare-for-fp4-inference', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.together.ai/v1/shaping/prepare-for-fp4-inference",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'inputs' => [
        'adapter_object_id' => 'ml_CeG3fF6pyEViU8dE8pk7R',
        'adapter_revision_id' => 'rv_CeG3faPBj2ABwbAaHPTmx',
        'calibration_file_id' => 'file-5f1b0c7a-2d19-4a3e-9c60-8ab41c2f7d35'
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

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

func main() {

	url := "https://api.together.ai/v1/shaping/prepare-for-fp4-inference"

	payload := strings.NewReader("{\n  \"inputs\": {\n    \"adapter_object_id\": \"ml_CeG3fF6pyEViU8dE8pk7R\",\n    \"adapter_revision_id\": \"rv_CeG3faPBj2ABwbAaHPTmx\",\n    \"calibration_file_id\": \"file-5f1b0c7a-2d19-4a3e-9c60-8ab41c2f7d35\"\n  }\n}")

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

	req.Header.Add("Authorization", "Bearer <token>")
	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))

}

HttpResponse<String> response = Unirest.post("https://api.together.ai/v1/shaping/prepare-for-fp4-inference")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"inputs\": {\n    \"adapter_object_id\": \"ml_CeG3fF6pyEViU8dE8pk7R\",\n    \"adapter_revision_id\": \"rv_CeG3faPBj2ABwbAaHPTmx\",\n    \"calibration_file_id\": \"file-5f1b0c7a-2d19-4a3e-9c60-8ab41c2f7d35\"\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.together.ai/v1/shaping/prepare-for-fp4-inference")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"inputs\": {\n    \"adapter_object_id\": \"ml_CeG3fF6pyEViU8dE8pk7R\",\n    \"adapter_revision_id\": \"rv_CeG3faPBj2ABwbAaHPTmx\",\n    \"calibration_file_id\": \"file-5f1b0c7a-2d19-4a3e-9c60-8ab41c2f7d35\"\n  }\n}"

response = http.request(request)
puts response.read_body

{
  "id": "<string>",
  "job_type": "quantization",
  "status": "pending",
  "created_at": "2023-11-07T05:31:56Z",
  "updated_at": "2023-11-07T05:31:56Z",
  "user_id": "<string>",
  "params": {
    "inputs": {
      "adapter_object_id": "ml_CeG3fF6pyEViU8dE8pk7R",
      "adapter_revision_id": "rv_CeG3faPBj2ABwbAaHPTmx",
      "calibration_file_id": "file-5f1b0c7a-2d19-4a3e-9c60-8ab41c2f7d35"
    },
    "configuration": {
      "user_id": "user_CKfewYkQBpaEmN7wuQS3W",
      "adapter_project_id": "proj_CczF9KYFantA84sNYDTJd",
      "adapter_revision_id": "rv_CeERyXMBQCJTRC1yqGTpk",
      "adapter_model_name": "ft-qa-artifacts/glm-5.3-e2e-test-adapter",
      "base_object_id": "ml_CbJ9yCnij7A47b1xkpioB",
      "base_revision_id": "rv_CbJ9yNrws93VQrZum1fTE",
      "base_model_name": "zai-org/GLM-5.3-NVFP4"
    }
  },
  "events": [
    {
      "object": "shaping",
      "created_at": "2023-11-07T05:31:56Z",
      "level": "Info",
      "message": "<string>",
      "type": "SHAPING_ERROR",
      "hash": "<string>",
      "result": {
        "model_object_id": "<string>",
        "model_revision_id": "<string>"
      }
    }
  ],
  "results": {
    "model_object_id": "<string>",
    "model_revision_id": "<string>"
  }
}

{
  "error": {
    "message": "<string>",
    "type": "<string>",
    "param": null,
    "code": null
  }
}

{
  "error": {
    "message": "<string>",
    "type": "<string>",
    "param": null,
    "code": null
  }
}

{
  "error": {
    "message": "<string>",
    "type": "<string>",
    "param": null,
    "code": null
  }
}

{
  "error": {
    "message": "<string>",
    "type": "<string>",
    "param": null,
    "code": null
  }
}

{
  "error": {
    "message": "<string>",
    "type": "<string>",
    "param": null,
    "code": null
  }
}

{
  "error": {
    "message": "<string>",
    "type": "<string>",
    "param": null,
    "code": null
  }
}