Start Gpu Selection
curl --request POST \
--url https://api.example.com/api/v2/external/execution/gpu_selection/start \
--header 'Content-Type: application/json' \
--data '
{
"code": "<string>",
"nbcode": 0,
"timeout": 60,
"requirements_content": "<string>",
"prior_imports": [
"<string>"
],
"kernel_state": "<string>",
"import_files": "<string>",
"file_name": "<string>"
}
'import requests
url = "https://api.example.com/api/v2/external/execution/gpu_selection/start"
payload = {
"code": "<string>",
"nbcode": 0,
"timeout": 60,
"requirements_content": "<string>",
"prior_imports": ["<string>"],
"kernel_state": "<string>",
"import_files": "<string>",
"file_name": "<string>"
}
headers = {"Content-Type": "application/json"}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'Content-Type': 'application/json'},
body: JSON.stringify({
code: '<string>',
nbcode: 0,
timeout: 60,
requirements_content: '<string>',
prior_imports: ['<string>'],
kernel_state: '<string>',
import_files: '<string>',
file_name: '<string>'
})
};
fetch('https://api.example.com/api/v2/external/execution/gpu_selection/start', 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.example.com/api/v2/external/execution/gpu_selection/start",
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([
'code' => '<string>',
'nbcode' => 0,
'timeout' => 60,
'requirements_content' => '<string>',
'prior_imports' => [
'<string>'
],
'kernel_state' => '<string>',
'import_files' => '<string>',
'file_name' => '<string>'
]),
CURLOPT_HTTPHEADER => [
"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.example.com/api/v2/external/execution/gpu_selection/start"
payload := strings.NewReader("{\n \"code\": \"<string>\",\n \"nbcode\": 0,\n \"timeout\": 60,\n \"requirements_content\": \"<string>\",\n \"prior_imports\": [\n \"<string>\"\n ],\n \"kernel_state\": \"<string>\",\n \"import_files\": \"<string>\",\n \"file_name\": \"<string>\"\n}")
req, _ := http.NewRequest("POST", url, payload)
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.example.com/api/v2/external/execution/gpu_selection/start")
.header("Content-Type", "application/json")
.body("{\n \"code\": \"<string>\",\n \"nbcode\": 0,\n \"timeout\": 60,\n \"requirements_content\": \"<string>\",\n \"prior_imports\": [\n \"<string>\"\n ],\n \"kernel_state\": \"<string>\",\n \"import_files\": \"<string>\",\n \"file_name\": \"<string>\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.example.com/api/v2/external/execution/gpu_selection/start")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n \"code\": \"<string>\",\n \"nbcode\": 0,\n \"timeout\": 60,\n \"requirements_content\": \"<string>\",\n \"prior_imports\": [\n \"<string>\"\n ],\n \"kernel_state\": \"<string>\",\n \"import_files\": \"<string>\",\n \"file_name\": \"<string>\"\n}"
response = http.request(request)
puts response.read_body{
"execution_id": "<string>",
"status": "<string>",
"message": "<string>"
}{
"detail": [
{
"loc": [
"<string>"
],
"msg": "<string>",
"type": "<string>",
"input": "<unknown>",
"ctx": {}
}
]
}Serverless GPUs
Start Gpu Selection
Start GPU selection execution.
Creates a parent execution record and publishes the job to RabbitMQ for Pythia to process. Pythia will create sub-jobs on different GPUs and aggregate the results.
POST
/
api
/
v2
/
external
/
execution
/
gpu_selection
/
start
Start Gpu Selection
curl --request POST \
--url https://api.example.com/api/v2/external/execution/gpu_selection/start \
--header 'Content-Type: application/json' \
--data '
{
"code": "<string>",
"nbcode": 0,
"timeout": 60,
"requirements_content": "<string>",
"prior_imports": [
"<string>"
],
"kernel_state": "<string>",
"import_files": "<string>",
"file_name": "<string>"
}
'import requests
url = "https://api.example.com/api/v2/external/execution/gpu_selection/start"
payload = {
"code": "<string>",
"nbcode": 0,
"timeout": 60,
"requirements_content": "<string>",
"prior_imports": ["<string>"],
"kernel_state": "<string>",
"import_files": "<string>",
"file_name": "<string>"
}
headers = {"Content-Type": "application/json"}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'Content-Type': 'application/json'},
body: JSON.stringify({
code: '<string>',
nbcode: 0,
timeout: 60,
requirements_content: '<string>',
prior_imports: ['<string>'],
kernel_state: '<string>',
import_files: '<string>',
file_name: '<string>'
})
};
fetch('https://api.example.com/api/v2/external/execution/gpu_selection/start', 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.example.com/api/v2/external/execution/gpu_selection/start",
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([
'code' => '<string>',
'nbcode' => 0,
'timeout' => 60,
'requirements_content' => '<string>',
'prior_imports' => [
'<string>'
],
'kernel_state' => '<string>',
'import_files' => '<string>',
'file_name' => '<string>'
]),
CURLOPT_HTTPHEADER => [
"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.example.com/api/v2/external/execution/gpu_selection/start"
payload := strings.NewReader("{\n \"code\": \"<string>\",\n \"nbcode\": 0,\n \"timeout\": 60,\n \"requirements_content\": \"<string>\",\n \"prior_imports\": [\n \"<string>\"\n ],\n \"kernel_state\": \"<string>\",\n \"import_files\": \"<string>\",\n \"file_name\": \"<string>\"\n}")
req, _ := http.NewRequest("POST", url, payload)
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.example.com/api/v2/external/execution/gpu_selection/start")
.header("Content-Type", "application/json")
.body("{\n \"code\": \"<string>\",\n \"nbcode\": 0,\n \"timeout\": 60,\n \"requirements_content\": \"<string>\",\n \"prior_imports\": [\n \"<string>\"\n ],\n \"kernel_state\": \"<string>\",\n \"import_files\": \"<string>\",\n \"file_name\": \"<string>\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.example.com/api/v2/external/execution/gpu_selection/start")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n \"code\": \"<string>\",\n \"nbcode\": 0,\n \"timeout\": 60,\n \"requirements_content\": \"<string>\",\n \"prior_imports\": [\n \"<string>\"\n ],\n \"kernel_state\": \"<string>\",\n \"import_files\": \"<string>\",\n \"file_name\": \"<string>\"\n}"
response = http.request(request)
puts response.read_body{
"execution_id": "<string>",
"status": "<string>",
"message": "<string>"
}{
"detail": [
{
"loc": [
"<string>"
],
"msg": "<string>",
"type": "<string>",
"input": "<unknown>",
"ctx": {}
}
]
}Body
application/json
⌘I

