Import a workflow
curl --request POST \
--url https://core.cyberun.cloud/api/v1/workflows/import \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"workflow_slug": "sd-portrait-v2",
"display_name": "SD 1.5 Portrait Generator",
"workflow_json": {
"5": {
"class_type": "EmptyLatentImage",
"inputs": {
"width": 512,
"height": 512,
"batch_size": 1
}
},
"6": {
"class_type": "CLIPTextEncode",
"inputs": {
"text": "a portrait photo",
"clip": [
"4",
0
]
}
}
},
"description": "<string>",
"parameters": [
{
"key": "prompt",
"label": "Positive Prompt",
"node_id": "6",
"field": "text",
"target_path": "train.max_num_iterations",
"description": "<string>",
"required": true,
"default": "<unknown>",
"min": 123,
"max": 123,
"options": [
"<string>"
],
"accept": [
"<string>"
],
"source_key": "input_image"
}
],
"tool_type": "comfyui",
"required_labels": [
"gpu",
"sd15"
],
"task_timeout": 0,
"max_retries": 0,
"preferred_gpu": "RTX_4090",
"default_dispatch_target": "agent",
"min_vram_gb": 24,
"required_models": [
"checkpoints/sdxl-base.safetensors",
"loras/style.safetensors"
]
}
'import requests
url = "https://core.cyberun.cloud/api/v1/workflows/import"
payload = {
"workflow_slug": "sd-portrait-v2",
"display_name": "SD 1.5 Portrait Generator",
"workflow_json": {
"5": {
"class_type": "EmptyLatentImage",
"inputs": {
"width": 512,
"height": 512,
"batch_size": 1
}
},
"6": {
"class_type": "CLIPTextEncode",
"inputs": {
"text": "a portrait photo",
"clip": ["4", 0]
}
}
},
"description": "<string>",
"parameters": [
{
"key": "prompt",
"label": "Positive Prompt",
"node_id": "6",
"field": "text",
"target_path": "train.max_num_iterations",
"description": "<string>",
"required": True,
"default": "<unknown>",
"min": 123,
"max": 123,
"options": ["<string>"],
"accept": ["<string>"],
"source_key": "input_image"
}
],
"tool_type": "comfyui",
"required_labels": ["gpu", "sd15"],
"task_timeout": 0,
"max_retries": 0,
"preferred_gpu": "RTX_4090",
"default_dispatch_target": "agent",
"min_vram_gb": 24,
"required_models": ["checkpoints/sdxl-base.safetensors", "loras/style.safetensors"]
}
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({
workflow_slug: 'sd-portrait-v2',
display_name: 'SD 1.5 Portrait Generator',
workflow_json: {
'5': {
class_type: 'EmptyLatentImage',
inputs: {width: 512, height: 512, batch_size: 1}
},
'6': {
class_type: 'CLIPTextEncode',
inputs: {text: 'a portrait photo', clip: ['4', 0]}
}
},
description: '<string>',
parameters: [
{
key: 'prompt',
label: 'Positive Prompt',
node_id: '6',
field: 'text',
target_path: 'train.max_num_iterations',
description: '<string>',
required: true,
default: '<unknown>',
min: 123,
max: 123,
options: ['<string>'],
accept: ['<string>'],
source_key: 'input_image'
}
],
tool_type: 'comfyui',
required_labels: ['gpu', 'sd15'],
task_timeout: 0,
max_retries: 0,
preferred_gpu: 'RTX_4090',
default_dispatch_target: 'agent',
min_vram_gb: 24,
required_models: ['checkpoints/sdxl-base.safetensors', 'loras/style.safetensors']
})
};
fetch('https://core.cyberun.cloud/api/v1/workflows/import', 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://core.cyberun.cloud/api/v1/workflows/import",
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([
'workflow_slug' => 'sd-portrait-v2',
'display_name' => 'SD 1.5 Portrait Generator',
'workflow_json' => [
'5' => [
'class_type' => 'EmptyLatentImage',
'inputs' => [
'width' => 512,
'height' => 512,
'batch_size' => 1
]
],
'6' => [
'class_type' => 'CLIPTextEncode',
'inputs' => [
'text' => 'a portrait photo',
'clip' => [
'4',
0
]
]
]
],
'description' => '<string>',
'parameters' => [
[
'key' => 'prompt',
'label' => 'Positive Prompt',
'node_id' => '6',
'field' => 'text',
'target_path' => 'train.max_num_iterations',
'description' => '<string>',
'required' => true,
'default' => '<unknown>',
'min' => 123,
'max' => 123,
'options' => [
'<string>'
],
'accept' => [
'<string>'
],
'source_key' => 'input_image'
]
],
'tool_type' => 'comfyui',
'required_labels' => [
'gpu',
'sd15'
],
'task_timeout' => 0,
'max_retries' => 0,
'preferred_gpu' => 'RTX_4090',
'default_dispatch_target' => 'agent',
'min_vram_gb' => 24,
'required_models' => [
'checkpoints/sdxl-base.safetensors',
'loras/style.safetensors'
]
]),
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://core.cyberun.cloud/api/v1/workflows/import"
payload := strings.NewReader("{\n \"workflow_slug\": \"sd-portrait-v2\",\n \"display_name\": \"SD 1.5 Portrait Generator\",\n \"workflow_json\": {\n \"5\": {\n \"class_type\": \"EmptyLatentImage\",\n \"inputs\": {\n \"width\": 512,\n \"height\": 512,\n \"batch_size\": 1\n }\n },\n \"6\": {\n \"class_type\": \"CLIPTextEncode\",\n \"inputs\": {\n \"text\": \"a portrait photo\",\n \"clip\": [\n \"4\",\n 0\n ]\n }\n }\n },\n \"description\": \"<string>\",\n \"parameters\": [\n {\n \"key\": \"prompt\",\n \"label\": \"Positive Prompt\",\n \"node_id\": \"6\",\n \"field\": \"text\",\n \"target_path\": \"train.max_num_iterations\",\n \"description\": \"<string>\",\n \"required\": true,\n \"default\": \"<unknown>\",\n \"min\": 123,\n \"max\": 123,\n \"options\": [\n \"<string>\"\n ],\n \"accept\": [\n \"<string>\"\n ],\n \"source_key\": \"input_image\"\n }\n ],\n \"tool_type\": \"comfyui\",\n \"required_labels\": [\n \"gpu\",\n \"sd15\"\n ],\n \"task_timeout\": 0,\n \"max_retries\": 0,\n \"preferred_gpu\": \"RTX_4090\",\n \"default_dispatch_target\": \"agent\",\n \"min_vram_gb\": 24,\n \"required_models\": [\n \"checkpoints/sdxl-base.safetensors\",\n \"loras/style.safetensors\"\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://core.cyberun.cloud/api/v1/workflows/import")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"workflow_slug\": \"sd-portrait-v2\",\n \"display_name\": \"SD 1.5 Portrait Generator\",\n \"workflow_json\": {\n \"5\": {\n \"class_type\": \"EmptyLatentImage\",\n \"inputs\": {\n \"width\": 512,\n \"height\": 512,\n \"batch_size\": 1\n }\n },\n \"6\": {\n \"class_type\": \"CLIPTextEncode\",\n \"inputs\": {\n \"text\": \"a portrait photo\",\n \"clip\": [\n \"4\",\n 0\n ]\n }\n }\n },\n \"description\": \"<string>\",\n \"parameters\": [\n {\n \"key\": \"prompt\",\n \"label\": \"Positive Prompt\",\n \"node_id\": \"6\",\n \"field\": \"text\",\n \"target_path\": \"train.max_num_iterations\",\n \"description\": \"<string>\",\n \"required\": true,\n \"default\": \"<unknown>\",\n \"min\": 123,\n \"max\": 123,\n \"options\": [\n \"<string>\"\n ],\n \"accept\": [\n \"<string>\"\n ],\n \"source_key\": \"input_image\"\n }\n ],\n \"tool_type\": \"comfyui\",\n \"required_labels\": [\n \"gpu\",\n \"sd15\"\n ],\n \"task_timeout\": 0,\n \"max_retries\": 0,\n \"preferred_gpu\": \"RTX_4090\",\n \"default_dispatch_target\": \"agent\",\n \"min_vram_gb\": 24,\n \"required_models\": [\n \"checkpoints/sdxl-base.safetensors\",\n \"loras/style.safetensors\"\n ]\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://core.cyberun.cloud/api/v1/workflows/import")
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 \"workflow_slug\": \"sd-portrait-v2\",\n \"display_name\": \"SD 1.5 Portrait Generator\",\n \"workflow_json\": {\n \"5\": {\n \"class_type\": \"EmptyLatentImage\",\n \"inputs\": {\n \"width\": 512,\n \"height\": 512,\n \"batch_size\": 1\n }\n },\n \"6\": {\n \"class_type\": \"CLIPTextEncode\",\n \"inputs\": {\n \"text\": \"a portrait photo\",\n \"clip\": [\n \"4\",\n 0\n ]\n }\n }\n },\n \"description\": \"<string>\",\n \"parameters\": [\n {\n \"key\": \"prompt\",\n \"label\": \"Positive Prompt\",\n \"node_id\": \"6\",\n \"field\": \"text\",\n \"target_path\": \"train.max_num_iterations\",\n \"description\": \"<string>\",\n \"required\": true,\n \"default\": \"<unknown>\",\n \"min\": 123,\n \"max\": 123,\n \"options\": [\n \"<string>\"\n ],\n \"accept\": [\n \"<string>\"\n ],\n \"source_key\": \"input_image\"\n }\n ],\n \"tool_type\": \"comfyui\",\n \"required_labels\": [\n \"gpu\",\n \"sd15\"\n ],\n \"task_timeout\": 0,\n \"max_retries\": 0,\n \"preferred_gpu\": \"RTX_4090\",\n \"default_dispatch_target\": \"agent\",\n \"min_vram_gb\": 24,\n \"required_models\": [\n \"checkpoints/sdxl-base.safetensors\",\n \"loras/style.safetensors\"\n ]\n}"
response = http.request(request)
puts response.read_body{
"id": "019abc12-3456-7890-abcd-ef1234567890"
}{
"error_message": "resource not found"
}{
"error_message": "resource not found"
}{
"error_message": "resource not found"
}Workflow
Import a workflow
Imports a workflow from previously exported data. If a workflow with the same slug already exists in the team, it is overwritten (all fields are updated and the version is incremented). Otherwise a new workflow is created.
POST
/
workflows
/
import
Import a workflow
curl --request POST \
--url https://core.cyberun.cloud/api/v1/workflows/import \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"workflow_slug": "sd-portrait-v2",
"display_name": "SD 1.5 Portrait Generator",
"workflow_json": {
"5": {
"class_type": "EmptyLatentImage",
"inputs": {
"width": 512,
"height": 512,
"batch_size": 1
}
},
"6": {
"class_type": "CLIPTextEncode",
"inputs": {
"text": "a portrait photo",
"clip": [
"4",
0
]
}
}
},
"description": "<string>",
"parameters": [
{
"key": "prompt",
"label": "Positive Prompt",
"node_id": "6",
"field": "text",
"target_path": "train.max_num_iterations",
"description": "<string>",
"required": true,
"default": "<unknown>",
"min": 123,
"max": 123,
"options": [
"<string>"
],
"accept": [
"<string>"
],
"source_key": "input_image"
}
],
"tool_type": "comfyui",
"required_labels": [
"gpu",
"sd15"
],
"task_timeout": 0,
"max_retries": 0,
"preferred_gpu": "RTX_4090",
"default_dispatch_target": "agent",
"min_vram_gb": 24,
"required_models": [
"checkpoints/sdxl-base.safetensors",
"loras/style.safetensors"
]
}
'import requests
url = "https://core.cyberun.cloud/api/v1/workflows/import"
payload = {
"workflow_slug": "sd-portrait-v2",
"display_name": "SD 1.5 Portrait Generator",
"workflow_json": {
"5": {
"class_type": "EmptyLatentImage",
"inputs": {
"width": 512,
"height": 512,
"batch_size": 1
}
},
"6": {
"class_type": "CLIPTextEncode",
"inputs": {
"text": "a portrait photo",
"clip": ["4", 0]
}
}
},
"description": "<string>",
"parameters": [
{
"key": "prompt",
"label": "Positive Prompt",
"node_id": "6",
"field": "text",
"target_path": "train.max_num_iterations",
"description": "<string>",
"required": True,
"default": "<unknown>",
"min": 123,
"max": 123,
"options": ["<string>"],
"accept": ["<string>"],
"source_key": "input_image"
}
],
"tool_type": "comfyui",
"required_labels": ["gpu", "sd15"],
"task_timeout": 0,
"max_retries": 0,
"preferred_gpu": "RTX_4090",
"default_dispatch_target": "agent",
"min_vram_gb": 24,
"required_models": ["checkpoints/sdxl-base.safetensors", "loras/style.safetensors"]
}
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({
workflow_slug: 'sd-portrait-v2',
display_name: 'SD 1.5 Portrait Generator',
workflow_json: {
'5': {
class_type: 'EmptyLatentImage',
inputs: {width: 512, height: 512, batch_size: 1}
},
'6': {
class_type: 'CLIPTextEncode',
inputs: {text: 'a portrait photo', clip: ['4', 0]}
}
},
description: '<string>',
parameters: [
{
key: 'prompt',
label: 'Positive Prompt',
node_id: '6',
field: 'text',
target_path: 'train.max_num_iterations',
description: '<string>',
required: true,
default: '<unknown>',
min: 123,
max: 123,
options: ['<string>'],
accept: ['<string>'],
source_key: 'input_image'
}
],
tool_type: 'comfyui',
required_labels: ['gpu', 'sd15'],
task_timeout: 0,
max_retries: 0,
preferred_gpu: 'RTX_4090',
default_dispatch_target: 'agent',
min_vram_gb: 24,
required_models: ['checkpoints/sdxl-base.safetensors', 'loras/style.safetensors']
})
};
fetch('https://core.cyberun.cloud/api/v1/workflows/import', 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://core.cyberun.cloud/api/v1/workflows/import",
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([
'workflow_slug' => 'sd-portrait-v2',
'display_name' => 'SD 1.5 Portrait Generator',
'workflow_json' => [
'5' => [
'class_type' => 'EmptyLatentImage',
'inputs' => [
'width' => 512,
'height' => 512,
'batch_size' => 1
]
],
'6' => [
'class_type' => 'CLIPTextEncode',
'inputs' => [
'text' => 'a portrait photo',
'clip' => [
'4',
0
]
]
]
],
'description' => '<string>',
'parameters' => [
[
'key' => 'prompt',
'label' => 'Positive Prompt',
'node_id' => '6',
'field' => 'text',
'target_path' => 'train.max_num_iterations',
'description' => '<string>',
'required' => true,
'default' => '<unknown>',
'min' => 123,
'max' => 123,
'options' => [
'<string>'
],
'accept' => [
'<string>'
],
'source_key' => 'input_image'
]
],
'tool_type' => 'comfyui',
'required_labels' => [
'gpu',
'sd15'
],
'task_timeout' => 0,
'max_retries' => 0,
'preferred_gpu' => 'RTX_4090',
'default_dispatch_target' => 'agent',
'min_vram_gb' => 24,
'required_models' => [
'checkpoints/sdxl-base.safetensors',
'loras/style.safetensors'
]
]),
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://core.cyberun.cloud/api/v1/workflows/import"
payload := strings.NewReader("{\n \"workflow_slug\": \"sd-portrait-v2\",\n \"display_name\": \"SD 1.5 Portrait Generator\",\n \"workflow_json\": {\n \"5\": {\n \"class_type\": \"EmptyLatentImage\",\n \"inputs\": {\n \"width\": 512,\n \"height\": 512,\n \"batch_size\": 1\n }\n },\n \"6\": {\n \"class_type\": \"CLIPTextEncode\",\n \"inputs\": {\n \"text\": \"a portrait photo\",\n \"clip\": [\n \"4\",\n 0\n ]\n }\n }\n },\n \"description\": \"<string>\",\n \"parameters\": [\n {\n \"key\": \"prompt\",\n \"label\": \"Positive Prompt\",\n \"node_id\": \"6\",\n \"field\": \"text\",\n \"target_path\": \"train.max_num_iterations\",\n \"description\": \"<string>\",\n \"required\": true,\n \"default\": \"<unknown>\",\n \"min\": 123,\n \"max\": 123,\n \"options\": [\n \"<string>\"\n ],\n \"accept\": [\n \"<string>\"\n ],\n \"source_key\": \"input_image\"\n }\n ],\n \"tool_type\": \"comfyui\",\n \"required_labels\": [\n \"gpu\",\n \"sd15\"\n ],\n \"task_timeout\": 0,\n \"max_retries\": 0,\n \"preferred_gpu\": \"RTX_4090\",\n \"default_dispatch_target\": \"agent\",\n \"min_vram_gb\": 24,\n \"required_models\": [\n \"checkpoints/sdxl-base.safetensors\",\n \"loras/style.safetensors\"\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://core.cyberun.cloud/api/v1/workflows/import")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"workflow_slug\": \"sd-portrait-v2\",\n \"display_name\": \"SD 1.5 Portrait Generator\",\n \"workflow_json\": {\n \"5\": {\n \"class_type\": \"EmptyLatentImage\",\n \"inputs\": {\n \"width\": 512,\n \"height\": 512,\n \"batch_size\": 1\n }\n },\n \"6\": {\n \"class_type\": \"CLIPTextEncode\",\n \"inputs\": {\n \"text\": \"a portrait photo\",\n \"clip\": [\n \"4\",\n 0\n ]\n }\n }\n },\n \"description\": \"<string>\",\n \"parameters\": [\n {\n \"key\": \"prompt\",\n \"label\": \"Positive Prompt\",\n \"node_id\": \"6\",\n \"field\": \"text\",\n \"target_path\": \"train.max_num_iterations\",\n \"description\": \"<string>\",\n \"required\": true,\n \"default\": \"<unknown>\",\n \"min\": 123,\n \"max\": 123,\n \"options\": [\n \"<string>\"\n ],\n \"accept\": [\n \"<string>\"\n ],\n \"source_key\": \"input_image\"\n }\n ],\n \"tool_type\": \"comfyui\",\n \"required_labels\": [\n \"gpu\",\n \"sd15\"\n ],\n \"task_timeout\": 0,\n \"max_retries\": 0,\n \"preferred_gpu\": \"RTX_4090\",\n \"default_dispatch_target\": \"agent\",\n \"min_vram_gb\": 24,\n \"required_models\": [\n \"checkpoints/sdxl-base.safetensors\",\n \"loras/style.safetensors\"\n ]\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://core.cyberun.cloud/api/v1/workflows/import")
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 \"workflow_slug\": \"sd-portrait-v2\",\n \"display_name\": \"SD 1.5 Portrait Generator\",\n \"workflow_json\": {\n \"5\": {\n \"class_type\": \"EmptyLatentImage\",\n \"inputs\": {\n \"width\": 512,\n \"height\": 512,\n \"batch_size\": 1\n }\n },\n \"6\": {\n \"class_type\": \"CLIPTextEncode\",\n \"inputs\": {\n \"text\": \"a portrait photo\",\n \"clip\": [\n \"4\",\n 0\n ]\n }\n }\n },\n \"description\": \"<string>\",\n \"parameters\": [\n {\n \"key\": \"prompt\",\n \"label\": \"Positive Prompt\",\n \"node_id\": \"6\",\n \"field\": \"text\",\n \"target_path\": \"train.max_num_iterations\",\n \"description\": \"<string>\",\n \"required\": true,\n \"default\": \"<unknown>\",\n \"min\": 123,\n \"max\": 123,\n \"options\": [\n \"<string>\"\n ],\n \"accept\": [\n \"<string>\"\n ],\n \"source_key\": \"input_image\"\n }\n ],\n \"tool_type\": \"comfyui\",\n \"required_labels\": [\n \"gpu\",\n \"sd15\"\n ],\n \"task_timeout\": 0,\n \"max_retries\": 0,\n \"preferred_gpu\": \"RTX_4090\",\n \"default_dispatch_target\": \"agent\",\n \"min_vram_gb\": 24,\n \"required_models\": [\n \"checkpoints/sdxl-base.safetensors\",\n \"loras/style.safetensors\"\n ]\n}"
response = http.request(request)
puts response.read_body{
"id": "019abc12-3456-7890-abcd-ef1234567890"
}{
"error_message": "resource not found"
}{
"error_message": "resource not found"
}{
"error_message": "resource not found"
}Authorizations
bearerAuthDeviceAuth
User session JWT (Bearer ). Must be paired with the X-Team-ID
request header on team-scoped endpoints so the server knows which
team's resources to operate on.
Headers
UUID of the team to scope the request to. Used by dual-auth endpoints (runtime + scoped management):
- JWT callers MUST send it — a user may belong to multiple teams and the runtime cannot otherwise know which one to operate on. Missing header → 400.
- Credential callers (
sk-,dk-) can omit it because the team is derived from the credential row itself. Any value sent is ignored.
Example:
"019abc12-4567-7890-abcd-ef1234567891"
Body
application/json
Globally unique URL-friendly identifier for the workflow. Lowercase letters, numbers, and hyphens only.
Required string length:
2 - 100Pattern:
^[a-z0-9]+(?:-[a-z0-9]+)*$Example:
"sd-portrait-v2"
Human-readable name for this workflow template.
Required string length:
1 - 255Example:
"SD 1.5 Portrait Generator"
Tool-specific workflow definition. For tool_type=comfyui, this is a
ComfyUI API workflow JSON object. For tool_type=nerfstudio, this is a
Nerfstudio 3DGS pipeline spec.
Example:
{
"5": {
"class_type": "EmptyLatentImage",
"inputs": {
"width": 512,
"height": 512,
"batch_size": 1
}
},
"6": {
"class_type": "CLIPTextEncode",
"inputs": {
"text": "a portrait photo",
"clip": ["4", 0]
}
}
}
Optional description of what this workflow does.
Maximum string length:
2000Configurable parameters that can be overridden at run time. Each parameter maps a user-facing key to a tool-specific injection target. See ParameterDefInput for the mapping mechanism.
Show child attributes
Show child attributes
Tool runtime used by this workflow:
comfyui: ComfyUI API workflow JSON (default, backward compatible).nerfstudio: Nerfstudio 3DGS pipeline spec.
Available options:
comfyui, nerfstudio Example:
"comfyui"
Labels that an agent must have in order to receive tasks from this workflow. All labels must match (AND logic). If empty or omitted, any agent can execute it.
Example:
["gpu", "sd15"]
Maximum execution time in seconds after agent ACK. If the agent does not report completion within this time, the task is marked as failed and may be retried. 0 means use the gateway's default max timeout (typically 24 hours).
Required range:
x >= 0Maximum number of automatic retries on failure. When a task fails (agent disconnect, timeout, ComfyUI error), a new retry task is created automatically up to this limit. 0 means no retry.
Required range:
x >= 0Preferred GPU type for agent matching (e.g. "RTX_4090", "A100_80GB"). When set, the scheduler prioritises agents with this GPU type. If empty, any available GPU is accepted.
Maximum string length:
100Example:
"RTX_4090"
Default compute source for tasks created from this workflow.
Can be overridden per-run. If not set, defaults to agent.
Available options:
agent, comfy_cloud Example:
"agent"
Minimum GPU VRAM required (decimal GB) for an agent to run
this workflow. The dispatcher's hard filter excludes agents
whose advertised vram_total_gb is below this number. 0 means
no requirement (default).
Required range:
0 <= x <= 2048Example:
24
Model paths the workflow needs (relative to the runtime's
models root, e.g. checkpoints/sdxl-base.safetensors). The
dispatcher's hard filter excludes any agent missing one or
more of these files. Empty / omitted means no requirement.
Maximum string length:
512Example:
[
"checkpoints/sdxl-base.safetensors",
"loras/style.safetensors"
]
Response
Workflow imported (created or updated)
UUID of the created or updated resource.
Example:
"019abc12-3456-7890-abcd-ef1234567890"
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