Start an async AI workflow
curl --request POST \
--url https://connie.ai/api/brain/start \
--header 'Content-Type: application/json' \
--cookie session= \
--data '
{
"message": "<string>",
"workspaceId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"intent": "<string>",
"conversationHistory": [
{
"content": "<string>"
}
],
"mentions": [
{
"id": "<string>",
"displayName": "<string>",
"description": "<string>"
}
],
"knowledgeBaseIds": [
"<string>"
],
"knowledgeArticleIds": [
"<string>"
],
"tableIds": [
"<string>"
],
"fileAttachmentIds": [
"<string>"
],
"aiSettings": {
"enabledTools": [
"<string>"
]
},
"pageContext": {
"type": "<string>",
"entityId": "<string>",
"entityName": "<string>",
"url": "<string>"
},
"streaming": true,
"skipCache": false
}
'import requests
url = "https://connie.ai/api/brain/start"
payload = {
"message": "<string>",
"workspaceId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"intent": "<string>",
"conversationHistory": [{ "content": "<string>" }],
"mentions": [
{
"id": "<string>",
"displayName": "<string>",
"description": "<string>"
}
],
"knowledgeBaseIds": ["<string>"],
"knowledgeArticleIds": ["<string>"],
"tableIds": ["<string>"],
"fileAttachmentIds": ["<string>"],
"aiSettings": { "enabledTools": ["<string>"] },
"pageContext": {
"type": "<string>",
"entityId": "<string>",
"entityName": "<string>",
"url": "<string>"
},
"streaming": True,
"skipCache": False
}
headers = {
"cookie": "session=",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {cookie: 'session=', 'Content-Type': 'application/json'},
body: JSON.stringify({
message: '<string>',
workspaceId: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
intent: '<string>',
conversationHistory: [{content: '<string>'}],
mentions: [{id: '<string>', displayName: '<string>', description: '<string>'}],
knowledgeBaseIds: ['<string>'],
knowledgeArticleIds: ['<string>'],
tableIds: ['<string>'],
fileAttachmentIds: ['<string>'],
aiSettings: {enabledTools: ['<string>']},
pageContext: {
type: '<string>',
entityId: '<string>',
entityName: '<string>',
url: '<string>'
},
streaming: true,
skipCache: false
})
};
fetch('https://connie.ai/api/brain/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://connie.ai/api/brain/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([
'message' => '<string>',
'workspaceId' => '3c90c3cc-0d44-4b50-8888-8dd25736052a',
'intent' => '<string>',
'conversationHistory' => [
[
'content' => '<string>'
]
],
'mentions' => [
[
'id' => '<string>',
'displayName' => '<string>',
'description' => '<string>'
]
],
'knowledgeBaseIds' => [
'<string>'
],
'knowledgeArticleIds' => [
'<string>'
],
'tableIds' => [
'<string>'
],
'fileAttachmentIds' => [
'<string>'
],
'aiSettings' => [
'enabledTools' => [
'<string>'
]
],
'pageContext' => [
'type' => '<string>',
'entityId' => '<string>',
'entityName' => '<string>',
'url' => '<string>'
],
'streaming' => true,
'skipCache' => false
]),
CURLOPT_COOKIE => "session=",
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://connie.ai/api/brain/start"
payload := strings.NewReader("{\n \"message\": \"<string>\",\n \"workspaceId\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"intent\": \"<string>\",\n \"conversationHistory\": [\n {\n \"content\": \"<string>\"\n }\n ],\n \"mentions\": [\n {\n \"id\": \"<string>\",\n \"displayName\": \"<string>\",\n \"description\": \"<string>\"\n }\n ],\n \"knowledgeBaseIds\": [\n \"<string>\"\n ],\n \"knowledgeArticleIds\": [\n \"<string>\"\n ],\n \"tableIds\": [\n \"<string>\"\n ],\n \"fileAttachmentIds\": [\n \"<string>\"\n ],\n \"aiSettings\": {\n \"enabledTools\": [\n \"<string>\"\n ]\n },\n \"pageContext\": {\n \"type\": \"<string>\",\n \"entityId\": \"<string>\",\n \"entityName\": \"<string>\",\n \"url\": \"<string>\"\n },\n \"streaming\": true,\n \"skipCache\": false\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("cookie", "session=")
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://connie.ai/api/brain/start")
.header("cookie", "session=")
.header("Content-Type", "application/json")
.body("{\n \"message\": \"<string>\",\n \"workspaceId\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"intent\": \"<string>\",\n \"conversationHistory\": [\n {\n \"content\": \"<string>\"\n }\n ],\n \"mentions\": [\n {\n \"id\": \"<string>\",\n \"displayName\": \"<string>\",\n \"description\": \"<string>\"\n }\n ],\n \"knowledgeBaseIds\": [\n \"<string>\"\n ],\n \"knowledgeArticleIds\": [\n \"<string>\"\n ],\n \"tableIds\": [\n \"<string>\"\n ],\n \"fileAttachmentIds\": [\n \"<string>\"\n ],\n \"aiSettings\": {\n \"enabledTools\": [\n \"<string>\"\n ]\n },\n \"pageContext\": {\n \"type\": \"<string>\",\n \"entityId\": \"<string>\",\n \"entityName\": \"<string>\",\n \"url\": \"<string>\"\n },\n \"streaming\": true,\n \"skipCache\": false\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://connie.ai/api/brain/start")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["cookie"] = 'session='
request["Content-Type"] = 'application/json'
request.body = "{\n \"message\": \"<string>\",\n \"workspaceId\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"intent\": \"<string>\",\n \"conversationHistory\": [\n {\n \"content\": \"<string>\"\n }\n ],\n \"mentions\": [\n {\n \"id\": \"<string>\",\n \"displayName\": \"<string>\",\n \"description\": \"<string>\"\n }\n ],\n \"knowledgeBaseIds\": [\n \"<string>\"\n ],\n \"knowledgeArticleIds\": [\n \"<string>\"\n ],\n \"tableIds\": [\n \"<string>\"\n ],\n \"fileAttachmentIds\": [\n \"<string>\"\n ],\n \"aiSettings\": {\n \"enabledTools\": [\n \"<string>\"\n ]\n },\n \"pageContext\": {\n \"type\": \"<string>\",\n \"entityId\": \"<string>\",\n \"entityName\": \"<string>\",\n \"url\": \"<string>\"\n },\n \"streaming\": true,\n \"skipCache\": false\n}"
response = http.request(request)
puts response.read_body{
"success": true,
"requestId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"channelId": "<string>",
"status": "running",
"workflowId": "<string>"
}Brain
Start an async AI workflow
Initiates an async AI workflow via Temporal (non-streaming fallback). Pre-warms Temporal and MCP connections in parallel. Checks FAQ cache. Validates idempotent client requestIds. Returns 202 immediately with requestId and channelId for Supabase Realtime subscription. Guests are blocked — members, admins, and owners only.
POST
/
brain
/
start
Start an async AI workflow
curl --request POST \
--url https://connie.ai/api/brain/start \
--header 'Content-Type: application/json' \
--cookie session= \
--data '
{
"message": "<string>",
"workspaceId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"intent": "<string>",
"conversationHistory": [
{
"content": "<string>"
}
],
"mentions": [
{
"id": "<string>",
"displayName": "<string>",
"description": "<string>"
}
],
"knowledgeBaseIds": [
"<string>"
],
"knowledgeArticleIds": [
"<string>"
],
"tableIds": [
"<string>"
],
"fileAttachmentIds": [
"<string>"
],
"aiSettings": {
"enabledTools": [
"<string>"
]
},
"pageContext": {
"type": "<string>",
"entityId": "<string>",
"entityName": "<string>",
"url": "<string>"
},
"streaming": true,
"skipCache": false
}
'import requests
url = "https://connie.ai/api/brain/start"
payload = {
"message": "<string>",
"workspaceId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"intent": "<string>",
"conversationHistory": [{ "content": "<string>" }],
"mentions": [
{
"id": "<string>",
"displayName": "<string>",
"description": "<string>"
}
],
"knowledgeBaseIds": ["<string>"],
"knowledgeArticleIds": ["<string>"],
"tableIds": ["<string>"],
"fileAttachmentIds": ["<string>"],
"aiSettings": { "enabledTools": ["<string>"] },
"pageContext": {
"type": "<string>",
"entityId": "<string>",
"entityName": "<string>",
"url": "<string>"
},
"streaming": True,
"skipCache": False
}
headers = {
"cookie": "session=",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {cookie: 'session=', 'Content-Type': 'application/json'},
body: JSON.stringify({
message: '<string>',
workspaceId: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
intent: '<string>',
conversationHistory: [{content: '<string>'}],
mentions: [{id: '<string>', displayName: '<string>', description: '<string>'}],
knowledgeBaseIds: ['<string>'],
knowledgeArticleIds: ['<string>'],
tableIds: ['<string>'],
fileAttachmentIds: ['<string>'],
aiSettings: {enabledTools: ['<string>']},
pageContext: {
type: '<string>',
entityId: '<string>',
entityName: '<string>',
url: '<string>'
},
streaming: true,
skipCache: false
})
};
fetch('https://connie.ai/api/brain/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://connie.ai/api/brain/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([
'message' => '<string>',
'workspaceId' => '3c90c3cc-0d44-4b50-8888-8dd25736052a',
'intent' => '<string>',
'conversationHistory' => [
[
'content' => '<string>'
]
],
'mentions' => [
[
'id' => '<string>',
'displayName' => '<string>',
'description' => '<string>'
]
],
'knowledgeBaseIds' => [
'<string>'
],
'knowledgeArticleIds' => [
'<string>'
],
'tableIds' => [
'<string>'
],
'fileAttachmentIds' => [
'<string>'
],
'aiSettings' => [
'enabledTools' => [
'<string>'
]
],
'pageContext' => [
'type' => '<string>',
'entityId' => '<string>',
'entityName' => '<string>',
'url' => '<string>'
],
'streaming' => true,
'skipCache' => false
]),
CURLOPT_COOKIE => "session=",
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://connie.ai/api/brain/start"
payload := strings.NewReader("{\n \"message\": \"<string>\",\n \"workspaceId\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"intent\": \"<string>\",\n \"conversationHistory\": [\n {\n \"content\": \"<string>\"\n }\n ],\n \"mentions\": [\n {\n \"id\": \"<string>\",\n \"displayName\": \"<string>\",\n \"description\": \"<string>\"\n }\n ],\n \"knowledgeBaseIds\": [\n \"<string>\"\n ],\n \"knowledgeArticleIds\": [\n \"<string>\"\n ],\n \"tableIds\": [\n \"<string>\"\n ],\n \"fileAttachmentIds\": [\n \"<string>\"\n ],\n \"aiSettings\": {\n \"enabledTools\": [\n \"<string>\"\n ]\n },\n \"pageContext\": {\n \"type\": \"<string>\",\n \"entityId\": \"<string>\",\n \"entityName\": \"<string>\",\n \"url\": \"<string>\"\n },\n \"streaming\": true,\n \"skipCache\": false\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("cookie", "session=")
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://connie.ai/api/brain/start")
.header("cookie", "session=")
.header("Content-Type", "application/json")
.body("{\n \"message\": \"<string>\",\n \"workspaceId\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"intent\": \"<string>\",\n \"conversationHistory\": [\n {\n \"content\": \"<string>\"\n }\n ],\n \"mentions\": [\n {\n \"id\": \"<string>\",\n \"displayName\": \"<string>\",\n \"description\": \"<string>\"\n }\n ],\n \"knowledgeBaseIds\": [\n \"<string>\"\n ],\n \"knowledgeArticleIds\": [\n \"<string>\"\n ],\n \"tableIds\": [\n \"<string>\"\n ],\n \"fileAttachmentIds\": [\n \"<string>\"\n ],\n \"aiSettings\": {\n \"enabledTools\": [\n \"<string>\"\n ]\n },\n \"pageContext\": {\n \"type\": \"<string>\",\n \"entityId\": \"<string>\",\n \"entityName\": \"<string>\",\n \"url\": \"<string>\"\n },\n \"streaming\": true,\n \"skipCache\": false\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://connie.ai/api/brain/start")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["cookie"] = 'session='
request["Content-Type"] = 'application/json'
request.body = "{\n \"message\": \"<string>\",\n \"workspaceId\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"intent\": \"<string>\",\n \"conversationHistory\": [\n {\n \"content\": \"<string>\"\n }\n ],\n \"mentions\": [\n {\n \"id\": \"<string>\",\n \"displayName\": \"<string>\",\n \"description\": \"<string>\"\n }\n ],\n \"knowledgeBaseIds\": [\n \"<string>\"\n ],\n \"knowledgeArticleIds\": [\n \"<string>\"\n ],\n \"tableIds\": [\n \"<string>\"\n ],\n \"fileAttachmentIds\": [\n \"<string>\"\n ],\n \"aiSettings\": {\n \"enabledTools\": [\n \"<string>\"\n ]\n },\n \"pageContext\": {\n \"type\": \"<string>\",\n \"entityId\": \"<string>\",\n \"entityName\": \"<string>\",\n \"url\": \"<string>\"\n },\n \"streaming\": true,\n \"skipCache\": false\n}"
response = http.request(request)
puts response.read_body{
"success": true,
"requestId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"channelId": "<string>",
"status": "running",
"workflowId": "<string>"
}Authorizations
Body
application/json
Intent classification for routing
Maximum array length:
100Show child attributes
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Available options:
off, short, medium, long Available options:
brief, medium, verbose