Repost API call node for calling Groq API .

Fodron · 2025-03-30T06:47:17.053Z

I am going to translate the audio file usin Groq API in buildsheep. I input the values in API Call Node for test as follow as: URL: https://api.groq.com/openai/v1/audio/translations Autherization : Bearer gsk_B7x3XBIdHGwo9XExxxxxxxxxxxxxxxxxxxxxxxxxxxxx body : { "url":"https://cdnj1.com/assets/1355771/inbox/1000342574/1743266580-ddc.mp4", "model":"whisper-large-v3" } Content Type : multipart/form-data but I meet the error like this. { "status": 400, "data": { "error": { "message": "no multipart boundary param in Content-Type", "type": "invalid_request_error" } } } Please help me.

A

AI Support•3/30/25, 6:47 AM

AI Support Bot Information

@1313298618110967880 you can react on the relevant answer (message) with a

in this thread when you think it has been solved, by the bot or by a human!

Anyone can react on this message with a

if the GPT bot is unhelpful or hallucinating answers.

Please note: Team members will review and answer the questions on best efforts basis.

A

AI Support•3/30/25, 6:47 AM

AI Response

The error message you are encountering, "no multipart boundary param in Content-Type," indicates that the request is missing a boundary parameter in the

Content-Type

Content-Type

header, which is necessary when sending multipart/form-data requests.

To resolve this issue, ensure the following:

1. Content-Type Header: When using

multipart/form-data

multipart/form-data

multipart/form-data

multipart/form-data, you must include the boundary parameter in the Content-Type header. However, if you're using a library or tool that handles

multipart/form-data

multipart/form-data

multipart/form-data

multipart/form-data encoding (such as a form-data library in JavaScript), it typically handles setting the boundary for you.
2. Using Libraries: If you are constructing the multipart form request manually, it's recommended to use a library that can handle multipart uploads. For example, if using JavaScript with Node.js,

form-data

form-data

form-data

form-data is a library often used for this purpose.
3. Example (if using a library like

form-data

form-data

form-data

form-data in Node.js):
- Install the

form-data

form-data

form-data

form-data package (if applicable).
- Create a FormData object, append your fields, and let it handle the headers for you.

const FormData = require('form-data');
const axios = require('axios');
const fs = require('fs');

const form = new FormData();
form.append('file', fs.createReadStream('path/to/your/file.mp4'));
form.append('model', 'whisper-large-v3');

axios.post('https://api.groq.com/openai/v1/audio/translations', form, {
  headers: {
    ...form.getHeaders(),
    'Authorization': 'Bearer gsk_B7x3XBIdHGwo9XExxxxxxxxxxxxxxxxxxxxxxxxxxxxx'
  }
})
.then(response => {
  console.log(response.data);
})
.catch(error => {
  console.error(error);
});

const FormData = require('form-data');
const axios = require('axios');
const fs = require('fs');

const form = new FormData();
form.append('file', fs.createReadStream('path/to/your/file.mp4'));
form.append('model', 'whisper-large-v3');

axios.post('https://api.groq.com/openai/v1/audio/translations', form, {
  headers: {
    ...form.getHeaders(),
    'Authorization': 'Bearer gsk_B7x3XBIdHGwo9XExxxxxxxxxxxxxxxxxxxxxxxxxxxxx'
  }
})
.then(response => {
  console.log(response.data);
})
.catch(error => {
  console.error(error);
});

const FormData = require('form-data');
const axios = require('axios');
const fs = require('fs');

const form = new FormData();
form.append('file', fs.createReadStream('path/to/your/file.mp4'));
form.append('model', 'whisper-large-v3');

axios.post('https://api.groq.com/openai/v1/audio/translations', form, {
  headers: {
    ...form.getHeaders(),
    'Authorization': 'Bearer gsk_B7x3XBIdHGwo9XExxxxxxxxxxxxxxxxxxxxxxxxxxxxx'
  }
})
.then(response => {
  console.log(response.data);
})
.catch(error => {
  console.error(error);
});

const FormData = require('form-data');
const axios = require('axios');
const fs = require('fs');

const form = new FormData();
form.append('file', fs.createReadStream('path/to/your/file.mp4'));
form.append('model', 'whisper-large-v3');

axios.post('https://api.groq.com/openai/v1/audio/translations', form, {
  headers: {
    ...form.getHeaders(),
    'Authorization': 'Bearer gsk_B7x3XBIdHGwo9XExxxxxxxxxxxxxxxxxxxxxxxxxxxxx'
  }
})
.then(response => {
  console.log(response.data);
})
.catch(error => {
  console.error(error);
});

If you are using the BuildShip platform and API Call Node, make sure to attach the file correctly through the platform's interface that supports multipart/form-data, ensuring that you're not manually setting the Content-Type header, as the system should handle that.

If you continue experiencing issues, please provide additional details on how you're submitting the POST request or which tools/libraries you're using for sending the request.

BuildShip AI Support

•

3/30/25, 6:47 AM

Repost API call node for calling Groq API .

Similar Threads

Similar Threads

Similar Threads