Cancel a fine tuning job

POST

fine_tuning

jobs

{job_id}

cancel

JavaScript

import Telnyx from 'telnyx';

const client = new Telnyx({
  apiKey: process.env['TELNYX_API_KEY'], // This is the default and can be omitted
});

const fineTuningJob = await client.ai.fineTuning.jobs.cancel('job_id');

console.log(fineTuningJob.id);

import os
from telnyx import Telnyx

client = Telnyx(
    api_key=os.environ.get("TELNYX_API_KEY"),  # This is the default and can be omitted
)
fine_tuning_job = client.ai.fine_tuning.jobs.cancel(
    "job_id",
)
print(fine_tuning_job.id)

package main

import (
	"context"
	"fmt"

	"github.com/team-telnyx/telnyx-go"
	"github.com/team-telnyx/telnyx-go/option"
)

func main() {
	client := telnyx.NewClient(
		option.WithAPIKey("My API Key"),
	)
	fineTuningJob, err := client.AI.FineTuning.Jobs.Cancel(context.TODO(), "job_id")
	if err != nil {
		panic(err.Error())
	}
	fmt.Printf("%+v\n", fineTuningJob.ID)
}

package com.telnyx.sdk.example;

import com.telnyx.sdk.client.TelnyxClient;
import com.telnyx.sdk.client.okhttp.TelnyxOkHttpClient;
import com.telnyx.sdk.models.ai.finetuning.jobs.FineTuningJob;
import com.telnyx.sdk.models.ai.finetuning.jobs.JobCancelParams;

public final class Main {
    private Main() {}

    public static void main(String[] args) {
        TelnyxClient client = TelnyxOkHttpClient.fromEnv();

        FineTuningJob fineTuningJob = client.ai().fineTuning().jobs().cancel("job_id");
    }
}

require "telnyx"

telnyx = Telnyx::Client.new(api_key: "My API Key")

fine_tuning_job = telnyx.ai.fine_tuning.jobs.cancel("job_id")

puts(fine_tuning_job)

<?php

require_once dirname(__DIR__) . '/vendor/autoload.php';

use Telnyx\Client;
use Telnyx\Core\Exceptions\APIException;

$client = new Client(apiKey: getenv('TELNYX_API_KEY') ?: 'My API Key');

try {
  $fineTuningJob = $client->ai->fineTuning->jobs->cancel('job_id');

  var_dump($fineTuningJob);
} catch (APIException $e) {
  echo $e->getMessage();
}

telnyx ai:fine-tuning:jobs cancel \
  --api-key 'My API Key' \
  --job-id job_id

curl --request POST \
  --url https://api.telnyx.com/v2/ai/fine_tuning/jobs/{job_id}/cancel \
  --header 'Authorization: Bearer <token>'

{
  "id": "<string>",
  "created_at": 123,
  "finished_at": 123,
  "hyperparameters": {
    "n_epochs": 3
  },
  "model": "<string>",
  "organization_id": "<string>",
  "trained_tokens": 123,
  "training_file": "<string>"
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>"
    }
  ]
}

Authorizations

Authorization

string

header

required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Path Parameters

job_id

string

required

Unique identifier of the job.

Response

Successful Response

The fine_tuning.job object represents a fine-tuning job that has been created through the API.

string

required

The name of the fine-tuned model that is being created.

created_at

integer

required

The Unix timestamp (in seconds) for when the fine-tuning job was created.

finished_at

integer | null

required

The Unix timestamp (in seconds) for when the fine-tuning job was finished. The value will be null if the fine-tuning job is still running.

hyperparameters

object

required

The hyperparameters used for the fine-tuning job.

Show child attributes

model

string

required

The base model that is being fine-tuned.

organization_id

string

required

The organization that owns the fine-tuning job.

status

enum<string>

required

The current status of the fine-tuning job.

Available options:

queued,

running,

succeeded,

failed,

cancelled

trained_tokens

integer | null

required

The total number of billable tokens processed by this fine-tuning job. The value will be null if the fine-tuning job is still running.

training_file

string

required

The storage bucket or object used for training.

Get a fine tuning job

Create a message (Anthropic-compatible)

⌘I

JavaScript

import Telnyx from 'telnyx';

const client = new Telnyx({
  apiKey: process.env['TELNYX_API_KEY'], // This is the default and can be omitted
});

const fineTuningJob = await client.ai.fineTuning.jobs.cancel('job_id');

console.log(fineTuningJob.id);

import os
from telnyx import Telnyx

client = Telnyx(
    api_key=os.environ.get("TELNYX_API_KEY"),  # This is the default and can be omitted
)
fine_tuning_job = client.ai.fine_tuning.jobs.cancel(
    "job_id",
)
print(fine_tuning_job.id)

package main

import (
	"context"
	"fmt"

	"github.com/team-telnyx/telnyx-go"
	"github.com/team-telnyx/telnyx-go/option"
)

func main() {
	client := telnyx.NewClient(
		option.WithAPIKey("My API Key"),
	)
	fineTuningJob, err := client.AI.FineTuning.Jobs.Cancel(context.TODO(), "job_id")
	if err != nil {
		panic(err.Error())
	}
	fmt.Printf("%+v\n", fineTuningJob.ID)
}

package com.telnyx.sdk.example;

import com.telnyx.sdk.client.TelnyxClient;
import com.telnyx.sdk.client.okhttp.TelnyxOkHttpClient;
import com.telnyx.sdk.models.ai.finetuning.jobs.FineTuningJob;
import com.telnyx.sdk.models.ai.finetuning.jobs.JobCancelParams;

public final class Main {
    private Main() {}

    public static void main(String[] args) {
        TelnyxClient client = TelnyxOkHttpClient.fromEnv();

        FineTuningJob fineTuningJob = client.ai().fineTuning().jobs().cancel("job_id");
    }
}

require "telnyx"

telnyx = Telnyx::Client.new(api_key: "My API Key")

fine_tuning_job = telnyx.ai.fine_tuning.jobs.cancel("job_id")

puts(fine_tuning_job)

<?php

require_once dirname(__DIR__) . '/vendor/autoload.php';

use Telnyx\Client;
use Telnyx\Core\Exceptions\APIException;

$client = new Client(apiKey: getenv('TELNYX_API_KEY') ?: 'My API Key');

try {
  $fineTuningJob = $client->ai->fineTuning->jobs->cancel('job_id');

  var_dump($fineTuningJob);
} catch (APIException $e) {
  echo $e->getMessage();
}

telnyx ai:fine-tuning:jobs cancel \
  --api-key 'My API Key' \
  --job-id job_id

curl --request POST \
  --url https://api.telnyx.com/v2/ai/fine_tuning/jobs/{job_id}/cancel \
  --header 'Authorization: Bearer <token>'

{
  "id": "<string>",
  "created_at": 123,
  "finished_at": 123,
  "hyperparameters": {
    "n_epochs": 3
  },
  "model": "<string>",
  "organization_id": "<string>",
  "trained_tokens": 123,
  "training_file": "<string>"
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>"
    }
  ]
}

Models

Data Residency

Integrations

Tutorials

API Reference

For AI Agents

Cancel a fine tuning job

Authorizations

Path Parameters

Response