Create a fine-tuning job
curl --request POST \
--url https://api.orbit.devotel.io/api/v1/agents/{agentId}/fine-tuning/jobs \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"provider": "openai",
"base_model": "gpt-4o-mini-2024-07-18",
"eval_run_id": "evalRun_7Xy2Qa",
"format": "openai",
"provider_job_id": "ftjob-abc123"
}
'import requests
url = "https://api.orbit.devotel.io/api/v1/agents/{agentId}/fine-tuning/jobs"
payload = {
"provider": "openai",
"base_model": "gpt-4o-mini-2024-07-18",
"eval_run_id": "evalRun_7Xy2Qa",
"format": "openai",
"provider_job_id": "ftjob-abc123"
}
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({
provider: 'openai',
base_model: 'gpt-4o-mini-2024-07-18',
eval_run_id: 'evalRun_7Xy2Qa',
format: 'openai',
provider_job_id: 'ftjob-abc123'
})
};
fetch('https://api.orbit.devotel.io/api/v1/agents/{agentId}/fine-tuning/jobs', 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.orbit.devotel.io/api/v1/agents/{agentId}/fine-tuning/jobs",
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([
'provider' => 'openai',
'base_model' => 'gpt-4o-mini-2024-07-18',
'eval_run_id' => 'evalRun_7Xy2Qa',
'format' => 'openai',
'provider_job_id' => 'ftjob-abc123'
]),
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.orbit.devotel.io/api/v1/agents/{agentId}/fine-tuning/jobs"
payload := strings.NewReader("{\n \"provider\": \"openai\",\n \"base_model\": \"gpt-4o-mini-2024-07-18\",\n \"eval_run_id\": \"evalRun_7Xy2Qa\",\n \"format\": \"openai\",\n \"provider_job_id\": \"ftjob-abc123\"\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.orbit.devotel.io/api/v1/agents/{agentId}/fine-tuning/jobs")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"provider\": \"openai\",\n \"base_model\": \"gpt-4o-mini-2024-07-18\",\n \"eval_run_id\": \"evalRun_7Xy2Qa\",\n \"format\": \"openai\",\n \"provider_job_id\": \"ftjob-abc123\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.orbit.devotel.io/api/v1/agents/{agentId}/fine-tuning/jobs")
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 \"provider\": \"openai\",\n \"base_model\": \"gpt-4o-mini-2024-07-18\",\n \"eval_run_id\": \"evalRun_7Xy2Qa\",\n \"format\": \"openai\",\n \"provider_job_id\": \"ftjob-abc123\"\n}"
response = http.request(request)
puts response.read_body{
"data": {
"agent_id": "<string>",
"job": {
"id": "<string>",
"provider": "openai",
"base_model": "<string>",
"eval_run_id": "<string>",
"format": "<string>",
"status": "queued",
"created_at": "2023-11-07T05:31:56Z"
}
},
"meta": {
"request_id": "<string>",
"timestamp": "2023-11-07T05:31:56Z",
"docs_url": "<string>"
}
}Agents
Create a fine-tuning job
Register a managed fine-tuning job for an agent, anchored to a completed eval run whose exported JSONL is the training dataset. Supply the provider (openai, anthropic, or hf), the base_model being tuned, and the eval_run_id; Orbit tracks the job’s lifecycle but never runs the tuning itself — you fine-tune on your own provider account. Optionally record an upstream provider_job_id. The eval run must exist for this agent.
POST
/
api
/
v1
/
agents
/
{agentId}
/
fine-tuning
/
jobs
Create a fine-tuning job
curl --request POST \
--url https://api.orbit.devotel.io/api/v1/agents/{agentId}/fine-tuning/jobs \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"provider": "openai",
"base_model": "gpt-4o-mini-2024-07-18",
"eval_run_id": "evalRun_7Xy2Qa",
"format": "openai",
"provider_job_id": "ftjob-abc123"
}
'import requests
url = "https://api.orbit.devotel.io/api/v1/agents/{agentId}/fine-tuning/jobs"
payload = {
"provider": "openai",
"base_model": "gpt-4o-mini-2024-07-18",
"eval_run_id": "evalRun_7Xy2Qa",
"format": "openai",
"provider_job_id": "ftjob-abc123"
}
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({
provider: 'openai',
base_model: 'gpt-4o-mini-2024-07-18',
eval_run_id: 'evalRun_7Xy2Qa',
format: 'openai',
provider_job_id: 'ftjob-abc123'
})
};
fetch('https://api.orbit.devotel.io/api/v1/agents/{agentId}/fine-tuning/jobs', 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.orbit.devotel.io/api/v1/agents/{agentId}/fine-tuning/jobs",
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([
'provider' => 'openai',
'base_model' => 'gpt-4o-mini-2024-07-18',
'eval_run_id' => 'evalRun_7Xy2Qa',
'format' => 'openai',
'provider_job_id' => 'ftjob-abc123'
]),
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.orbit.devotel.io/api/v1/agents/{agentId}/fine-tuning/jobs"
payload := strings.NewReader("{\n \"provider\": \"openai\",\n \"base_model\": \"gpt-4o-mini-2024-07-18\",\n \"eval_run_id\": \"evalRun_7Xy2Qa\",\n \"format\": \"openai\",\n \"provider_job_id\": \"ftjob-abc123\"\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.orbit.devotel.io/api/v1/agents/{agentId}/fine-tuning/jobs")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"provider\": \"openai\",\n \"base_model\": \"gpt-4o-mini-2024-07-18\",\n \"eval_run_id\": \"evalRun_7Xy2Qa\",\n \"format\": \"openai\",\n \"provider_job_id\": \"ftjob-abc123\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.orbit.devotel.io/api/v1/agents/{agentId}/fine-tuning/jobs")
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 \"provider\": \"openai\",\n \"base_model\": \"gpt-4o-mini-2024-07-18\",\n \"eval_run_id\": \"evalRun_7Xy2Qa\",\n \"format\": \"openai\",\n \"provider_job_id\": \"ftjob-abc123\"\n}"
response = http.request(request)
puts response.read_body{
"data": {
"agent_id": "<string>",
"job": {
"id": "<string>",
"provider": "openai",
"base_model": "<string>",
"eval_run_id": "<string>",
"format": "<string>",
"status": "queued",
"created_at": "2023-11-07T05:31:56Z"
}
},
"meta": {
"request_id": "<string>",
"timestamp": "2023-11-07T05:31:56Z",
"docs_url": "<string>"
}
}Authorizations
BearerApiKey
Dashboard JWT token from Clerk
Path Parameters
Body
application/json
Available options:
openai, anthropic, hf Example:
"openai"
Example:
"gpt-4o-mini-2024-07-18"
Example:
"evalRun_7Xy2Qa"
Available options:
openai, anthropic, hf Optional external job id if you already submitted upstream.
Example:
"ftjob-abc123"
⌘I