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POST
/
workflows
Create workflow
curl --request POST \
  --url https://workflows.eachlabs.run/api/v1/workflows \
  --header 'Content-Type: application/json' \
  --header 'X-API-Key: <api-key>' \
  --data '
{
  "name": "Text to Image Generator",
  "description": "Generates images from text prompts using AI models",
  "definition": {
    "version": "v1",
    "steps": [
      {
        "step_id": "step1",
        "type": "model",
        "model": "openai-chatgpt-5",
        "params": {
          "system_prompt": "You are a helpful assistant",
          "user_prompt": "{{inputs.prompt}}"
        },
        "fallback": {
          "enabled": true,
          "model": "anthropic-claude-4",
          "params": {
            "system_prompt": "You are a helpful assistant",
            "user_prompt": "{{inputs.prompt}}"
          }
        }
      }
    ],
    "input_schema": {
      "type": "object",
      "properties": {
        "prompt": {
          "type": "string",
          "description": "Text prompt for generation"
        }
      },
      "required": [
        "prompt"
      ]
    },
    "metadata": {
      "output_mapping": {
        "result": "{{step1.output}}"
      }
    }
  },
  "categories": [
    "image-generation",
    "ai"
  ],
  "locked": false,
  "production": false
}
'
import requests

url = "https://workflows.eachlabs.run/api/v1/workflows"

payload = {
"name": "Text to Image Generator",
"description": "Generates images from text prompts using AI models",
"definition": {
"version": "v1",
"steps": [
{
"step_id": "step1",
"type": "model",
"model": "openai-chatgpt-5",
"params": {
"system_prompt": "You are a helpful assistant",
"user_prompt": "{{inputs.prompt}}"
},
"fallback": {
"enabled": True,
"model": "anthropic-claude-4",
"params": {
"system_prompt": "You are a helpful assistant",
"user_prompt": "{{inputs.prompt}}"
}
}
}
],
"input_schema": {
"type": "object",
"properties": { "prompt": {
"type": "string",
"description": "Text prompt for generation"
} },
"required": ["prompt"]
},
"metadata": { "output_mapping": { "result": "{{step1.output}}" } }
},
"categories": ["image-generation", "ai"],
"locked": False,
"production": False
}
headers = {
"X-API-Key": "<api-key>",
"Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)
const options = {
method: 'POST',
headers: {'X-API-Key': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
name: 'Text to Image Generator',
description: 'Generates images from text prompts using AI models',
definition: {
version: 'v1',
steps: [
{
step_id: 'step1',
type: 'model',
model: 'openai-chatgpt-5',
params: {system_prompt: 'You are a helpful assistant', user_prompt: '{{inputs.prompt}}'},
fallback: {
enabled: true,
model: 'anthropic-claude-4',
params: {system_prompt: 'You are a helpful assistant', user_prompt: '{{inputs.prompt}}'}
}
}
],
input_schema: {
type: 'object',
properties: {prompt: {type: 'string', description: 'Text prompt for generation'}},
required: ['prompt']
},
metadata: {output_mapping: {result: '{{step1.output}}'}}
},
categories: ['image-generation', 'ai'],
locked: false,
production: false
})
};

fetch('https://workflows.eachlabs.run/api/v1/workflows', 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://workflows.eachlabs.run/api/v1/workflows",
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([
'name' => 'Text to Image Generator',
'description' => 'Generates images from text prompts using AI models',
'definition' => [
'version' => 'v1',
'steps' => [
[
'step_id' => 'step1',
'type' => 'model',
'model' => 'openai-chatgpt-5',
'params' => [
'system_prompt' => 'You are a helpful assistant',
'user_prompt' => '{{inputs.prompt}}'
],
'fallback' => [
'enabled' => true,
'model' => 'anthropic-claude-4',
'params' => [
'system_prompt' => 'You are a helpful assistant',
'user_prompt' => '{{inputs.prompt}}'
]
]
]
],
'input_schema' => [
'type' => 'object',
'properties' => [
'prompt' => [
'type' => 'string',
'description' => 'Text prompt for generation'
]
],
'required' => [
'prompt'
]
],
'metadata' => [
'output_mapping' => [
'result' => '{{step1.output}}'
]
]
],
'categories' => [
'image-generation',
'ai'
],
'locked' => false,
'production' => false
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"X-API-Key: <api-key>"
],
]);

$response = curl_exec($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://workflows.eachlabs.run/api/v1/workflows"

payload := strings.NewReader("{\n \"name\": \"Text to Image Generator\",\n \"description\": \"Generates images from text prompts using AI models\",\n \"definition\": {\n \"version\": \"v1\",\n \"steps\": [\n {\n \"step_id\": \"step1\",\n \"type\": \"model\",\n \"model\": \"openai-chatgpt-5\",\n \"params\": {\n \"system_prompt\": \"You are a helpful assistant\",\n \"user_prompt\": \"{{inputs.prompt}}\"\n },\n \"fallback\": {\n \"enabled\": true,\n \"model\": \"anthropic-claude-4\",\n \"params\": {\n \"system_prompt\": \"You are a helpful assistant\",\n \"user_prompt\": \"{{inputs.prompt}}\"\n }\n }\n }\n ],\n \"input_schema\": {\n \"type\": \"object\",\n \"properties\": {\n \"prompt\": {\n \"type\": \"string\",\n \"description\": \"Text prompt for generation\"\n }\n },\n \"required\": [\n \"prompt\"\n ]\n },\n \"metadata\": {\n \"output_mapping\": {\n \"result\": \"{{step1.output}}\"\n }\n }\n },\n \"categories\": [\n \"image-generation\",\n \"ai\"\n ],\n \"locked\": false,\n \"production\": false\n}")

req, _ := http.NewRequest("POST", url, payload)

req.Header.Add("X-API-Key", "<api-key>")
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://workflows.eachlabs.run/api/v1/workflows")
.header("X-API-Key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"name\": \"Text to Image Generator\",\n \"description\": \"Generates images from text prompts using AI models\",\n \"definition\": {\n \"version\": \"v1\",\n \"steps\": [\n {\n \"step_id\": \"step1\",\n \"type\": \"model\",\n \"model\": \"openai-chatgpt-5\",\n \"params\": {\n \"system_prompt\": \"You are a helpful assistant\",\n \"user_prompt\": \"{{inputs.prompt}}\"\n },\n \"fallback\": {\n \"enabled\": true,\n \"model\": \"anthropic-claude-4\",\n \"params\": {\n \"system_prompt\": \"You are a helpful assistant\",\n \"user_prompt\": \"{{inputs.prompt}}\"\n }\n }\n }\n ],\n \"input_schema\": {\n \"type\": \"object\",\n \"properties\": {\n \"prompt\": {\n \"type\": \"string\",\n \"description\": \"Text prompt for generation\"\n }\n },\n \"required\": [\n \"prompt\"\n ]\n },\n \"metadata\": {\n \"output_mapping\": {\n \"result\": \"{{step1.output}}\"\n }\n }\n },\n \"categories\": [\n \"image-generation\",\n \"ai\"\n ],\n \"locked\": false,\n \"production\": false\n}")
.asString();
require 'uri'
require 'net/http'

url = URI("https://workflows.eachlabs.run/api/v1/workflows")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["X-API-Key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"name\": \"Text to Image Generator\",\n \"description\": \"Generates images from text prompts using AI models\",\n \"definition\": {\n \"version\": \"v1\",\n \"steps\": [\n {\n \"step_id\": \"step1\",\n \"type\": \"model\",\n \"model\": \"openai-chatgpt-5\",\n \"params\": {\n \"system_prompt\": \"You are a helpful assistant\",\n \"user_prompt\": \"{{inputs.prompt}}\"\n },\n \"fallback\": {\n \"enabled\": true,\n \"model\": \"anthropic-claude-4\",\n \"params\": {\n \"system_prompt\": \"You are a helpful assistant\",\n \"user_prompt\": \"{{inputs.prompt}}\"\n }\n }\n }\n ],\n \"input_schema\": {\n \"type\": \"object\",\n \"properties\": {\n \"prompt\": {\n \"type\": \"string\",\n \"description\": \"Text prompt for generation\"\n }\n },\n \"required\": [\n \"prompt\"\n ]\n },\n \"metadata\": {\n \"output_mapping\": {\n \"result\": \"{{step1.output}}\"\n }\n }\n },\n \"categories\": [\n \"image-generation\",\n \"ai\"\n ],\n \"locked\": false,\n \"production\": false\n}"

response = http.request(request)
puts response.read_body
{
  "workflow_id": "50741f40-8621-4d46-8a91-dff4d873be98",
  "name": "Text to Image Generator",
  "description": "Generates images from text prompts",
  "slug": "text-to-image-generator",
  "categories": [
    "image-generation",
    "ai"
  ],
  "locked": false,
  "production": false,
  "latest_version_id": "v2",
  "status": "active",
  "trigger_count": 42,
  "created_at": "2025-12-01T10:00:00Z",
  "updated_at": "2025-12-07T15:30:00Z",
  "versions": [
    {
      "version_id": "v1",
      "slug": "text-to-image-generator",
      "locked": false,
      "production": true,
      "allowed_to_share": false,
      "trigger_count": 15,
      "created_at": "2025-12-01T10:00:00Z",
      "updated_at": "2025-12-05T14:20:00Z",
      "status": "active",
      "definition": {}
    }
  ]
}
{
"error": "<string>"
}
{
"error": "<string>"
}

Authorizations

X-API-Key
string
header
required

API key for authentication

Body

application/json
name
string
required

Human-readable workflow name

Example:

"Text to Image Generator"

description
string
required

Detailed description of what the workflow does

Example:

"Generates images from text prompts using AI models"

definition
object
required

The workflow definition containing steps, input schema, and metadata. This follows the workflow DSL format.

categories
string[]

List of category slugs to organize the workflow

Example:
["image-generation", "ai"]
locked
boolean
default:false

Whether the workflow is locked from modifications

production
boolean
default:false

Whether this is a production workflow

Response

Workflow created successfully

Complete workflow information including all versions

workflow_id
string<uuid>
required

Unique workflow identifier

Example:

"50741f40-8621-4d46-8a91-dff4d873be98"

name
string
required

Human-readable workflow name

Example:

"Text to Image Generator"

description
string
required

Workflow description

Example:

"Generates images from text prompts"

slug
string

URL-friendly workflow identifier

Example:

"text-to-image-generator"

categories
string[]

Category slugs

Example:
["image-generation", "ai"]
locked
boolean

Whether workflow is locked

Example:

false

production
boolean

Whether this is a production workflow

Example:

false

latest_version_id
string

Most recently updated version ID

Example:

"v2"

status
enum<string>

Workflow lifecycle status

Available options:
active,
archived,
deleted
Example:

"active"

trigger_count
integer

Total number of times this workflow has been triggered

Example:

42

created_at
string<date-time>

RFC3339 timestamp when workflow was created

Example:

"2025-12-01T10:00:00Z"

updated_at
string<date-time>

RFC3339 timestamp when workflow was last updated

Example:

"2025-12-07T15:30:00Z"

versions
object[]

List of all versions for this workflow

Last modified on May 28, 2026