curl --request POST \
--url https://app.famulor.io/api/v1/automations/ai-actions \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"config": {
"input": "<string>",
"questions": [
{
"id": "<string>",
"instructions": "<string>",
"options": [
{
"value": "<string>",
"description": "<string>"
}
],
"levels": [
"<string>"
]
}
],
"min_probability": 0.9,
"min_confidence": 0.8
},
"context": {},
"dry_run": true
}
'import requests
url = "https://app.famulor.io/api/v1/automations/ai-actions"
payload = {
"config": {
"input": "<string>",
"questions": [
{
"id": "<string>",
"instructions": "<string>",
"options": [
{
"value": "<string>",
"description": "<string>"
}
],
"levels": ["<string>"]
}
],
"min_probability": 0.9,
"min_confidence": 0.8
},
"context": {},
"dry_run": True
}
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({
config: {
input: '<string>',
questions: [
{
id: '<string>',
instructions: '<string>',
options: [{value: '<string>', description: '<string>'}],
levels: ['<string>']
}
],
min_probability: 0.9,
min_confidence: 0.8
},
context: {},
dry_run: true
})
};
fetch('https://app.famulor.io/api/v1/automations/ai-actions', 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://app.famulor.io/api/v1/automations/ai-actions",
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([
'config' => [
'input' => '<string>',
'questions' => [
[
'id' => '<string>',
'instructions' => '<string>',
'options' => [
[
'value' => '<string>',
'description' => '<string>'
]
],
'levels' => [
'<string>'
]
]
],
'min_probability' => 0.9,
'min_confidence' => 0.8
],
'context' => [
],
'dry_run' => true
]),
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://app.famulor.io/api/v1/automations/ai-actions"
payload := strings.NewReader("{\n \"config\": {\n \"input\": \"<string>\",\n \"questions\": [\n {\n \"id\": \"<string>\",\n \"instructions\": \"<string>\",\n \"options\": [\n {\n \"value\": \"<string>\",\n \"description\": \"<string>\"\n }\n ],\n \"levels\": [\n \"<string>\"\n ]\n }\n ],\n \"min_probability\": 0.9,\n \"min_confidence\": 0.8\n },\n \"context\": {},\n \"dry_run\": true\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://app.famulor.io/api/v1/automations/ai-actions")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"config\": {\n \"input\": \"<string>\",\n \"questions\": [\n {\n \"id\": \"<string>\",\n \"instructions\": \"<string>\",\n \"options\": [\n {\n \"value\": \"<string>\",\n \"description\": \"<string>\"\n }\n ],\n \"levels\": [\n \"<string>\"\n ]\n }\n ],\n \"min_probability\": 0.9,\n \"min_confidence\": 0.8\n },\n \"context\": {},\n \"dry_run\": true\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://app.famulor.io/api/v1/automations/ai-actions")
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 \"config\": {\n \"input\": \"<string>\",\n \"questions\": [\n {\n \"id\": \"<string>\",\n \"instructions\": \"<string>\",\n \"options\": [\n {\n \"value\": \"<string>\",\n \"description\": \"<string>\"\n }\n ],\n \"levels\": [\n \"<string>\"\n ]\n }\n ],\n \"min_probability\": 0.9,\n \"min_confidence\": 0.8\n },\n \"context\": {},\n \"dry_run\": true\n}"
response = http.request(request)
puts response.read_bodyPreview or run a Milian AI automation action
Requires automations:write. dry_run=true is a free configuration preview. Set false explicitly to run analysis and charge workspace credits. Each live invocation is a separate paid request. Processing preserves the workspace AI region; unavailable regions fail without global fallback. Uncertain answers have null values. Technical failures return success=false. Also available as run_automation_ai_action over MCP. Save the same action/config in a graph using POST or PATCH /automations/.
curl --request POST \
--url https://app.famulor.io/api/v1/automations/ai-actions \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"config": {
"input": "<string>",
"questions": [
{
"id": "<string>",
"instructions": "<string>",
"options": [
{
"value": "<string>",
"description": "<string>"
}
],
"levels": [
"<string>"
]
}
],
"min_probability": 0.9,
"min_confidence": 0.8
},
"context": {},
"dry_run": true
}
'import requests
url = "https://app.famulor.io/api/v1/automations/ai-actions"
payload = {
"config": {
"input": "<string>",
"questions": [
{
"id": "<string>",
"instructions": "<string>",
"options": [
{
"value": "<string>",
"description": "<string>"
}
],
"levels": ["<string>"]
}
],
"min_probability": 0.9,
"min_confidence": 0.8
},
"context": {},
"dry_run": True
}
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({
config: {
input: '<string>',
questions: [
{
id: '<string>',
instructions: '<string>',
options: [{value: '<string>', description: '<string>'}],
levels: ['<string>']
}
],
min_probability: 0.9,
min_confidence: 0.8
},
context: {},
dry_run: true
})
};
fetch('https://app.famulor.io/api/v1/automations/ai-actions', 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://app.famulor.io/api/v1/automations/ai-actions",
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([
'config' => [
'input' => '<string>',
'questions' => [
[
'id' => '<string>',
'instructions' => '<string>',
'options' => [
[
'value' => '<string>',
'description' => '<string>'
]
],
'levels' => [
'<string>'
]
]
],
'min_probability' => 0.9,
'min_confidence' => 0.8
],
'context' => [
],
'dry_run' => true
]),
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://app.famulor.io/api/v1/automations/ai-actions"
payload := strings.NewReader("{\n \"config\": {\n \"input\": \"<string>\",\n \"questions\": [\n {\n \"id\": \"<string>\",\n \"instructions\": \"<string>\",\n \"options\": [\n {\n \"value\": \"<string>\",\n \"description\": \"<string>\"\n }\n ],\n \"levels\": [\n \"<string>\"\n ]\n }\n ],\n \"min_probability\": 0.9,\n \"min_confidence\": 0.8\n },\n \"context\": {},\n \"dry_run\": true\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://app.famulor.io/api/v1/automations/ai-actions")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"config\": {\n \"input\": \"<string>\",\n \"questions\": [\n {\n \"id\": \"<string>\",\n \"instructions\": \"<string>\",\n \"options\": [\n {\n \"value\": \"<string>\",\n \"description\": \"<string>\"\n }\n ],\n \"levels\": [\n \"<string>\"\n ]\n }\n ],\n \"min_probability\": 0.9,\n \"min_confidence\": 0.8\n },\n \"context\": {},\n \"dry_run\": true\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://app.famulor.io/api/v1/automations/ai-actions")
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 \"config\": {\n \"input\": \"<string>\",\n \"questions\": [\n {\n \"id\": \"<string>\",\n \"instructions\": \"<string>\",\n \"options\": [\n {\n \"value\": \"<string>\",\n \"description\": \"<string>\"\n }\n ],\n \"levels\": [\n \"<string>\"\n ]\n }\n ],\n \"min_probability\": 0.9,\n \"min_confidence\": 0.8\n },\n \"context\": {},\n \"dry_run\": true\n}"
response = http.request(request)
puts response.read_bodyAuthorizations
API key (fam_..., created under Settings → API Keys) or an OAuth 2.0 access token (fam_at_...). REST operations also require API Access for the credential's workspace. Keys can be restricted to scopes such as assistants:read, calls:write, campaigns:write, automations:read, dashboards:read, dashboards:write, leads:write, segments:write, loop:read, loop:write, phone_numbers:write, sip_trunks:write, knowledge:write, voices:read, billing:read, billing:write, settings:write, platform:read, platform:write; a *:write scope implies the matching *:read. Automation and dashboard endpoints also accept the legacy calls:* scope. Keys without scope restrictions have full access within the workspace's available capabilities.
Body
Response
Success envelope. Execution returns success, optional error and data. data includes accepted/uncertain status, results by question key, nullable values and credits. Preview returns dry_run=true without model usage.