Classify a message with AI
curl --request POST \
--url https://connie.ai/api/inbox/classify \
--header 'Content-Type: application/json' \
--cookie session= \
--data '
{
"workspaceId": "<string>",
"accountId": "<string>",
"messageId": "<string>",
"messageText": "<string>",
"chatId": "<string>",
"contextMessages": "<array>",
"customLabels": [
"<string>"
],
"providerMessageId": "<string>"
}
'import requests
url = "https://connie.ai/api/inbox/classify"
payload = {
"workspaceId": "<string>",
"accountId": "<string>",
"messageId": "<string>",
"messageText": "<string>",
"chatId": "<string>",
"contextMessages": "<array>",
"customLabels": ["<string>"],
"providerMessageId": "<string>"
}
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({
workspaceId: '<string>',
accountId: '<string>',
messageId: '<string>',
messageText: '<string>',
chatId: '<string>',
contextMessages: '<array>',
customLabels: ['<string>'],
providerMessageId: '<string>'
})
};
fetch('https://connie.ai/api/inbox/classify', 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/inbox/classify",
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([
'workspaceId' => '<string>',
'accountId' => '<string>',
'messageId' => '<string>',
'messageText' => '<string>',
'chatId' => '<string>',
'contextMessages' => '<array>',
'customLabels' => [
'<string>'
],
'providerMessageId' => '<string>'
]),
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/inbox/classify"
payload := strings.NewReader("{\n \"workspaceId\": \"<string>\",\n \"accountId\": \"<string>\",\n \"messageId\": \"<string>\",\n \"messageText\": \"<string>\",\n \"chatId\": \"<string>\",\n \"contextMessages\": \"<array>\",\n \"customLabels\": [\n \"<string>\"\n ],\n \"providerMessageId\": \"<string>\"\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/inbox/classify")
.header("cookie", "session=")
.header("Content-Type", "application/json")
.body("{\n \"workspaceId\": \"<string>\",\n \"accountId\": \"<string>\",\n \"messageId\": \"<string>\",\n \"messageText\": \"<string>\",\n \"chatId\": \"<string>\",\n \"contextMessages\": \"<array>\",\n \"customLabels\": [\n \"<string>\"\n ],\n \"providerMessageId\": \"<string>\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://connie.ai/api/inbox/classify")
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 \"workspaceId\": \"<string>\",\n \"accountId\": \"<string>\",\n \"messageId\": \"<string>\",\n \"messageText\": \"<string>\",\n \"chatId\": \"<string>\",\n \"contextMessages\": \"<array>\",\n \"customLabels\": [\n \"<string>\"\n ],\n \"providerMessageId\": \"<string>\"\n}"
response = http.request(request)
puts response.read_body{
"success": true,
"classification": {
"primaryLabel": "<string>",
"primaryScore": 123,
"allLabels": [
"<string>"
],
"allScores": [
123
]
},
"autoAppliedLabels": [
"<string>"
]
}Labels
Classify a message with AI
Uses AI to classify a message and optionally auto-apply labels.
POST
/
inbox
/
classify
Classify a message with AI
curl --request POST \
--url https://connie.ai/api/inbox/classify \
--header 'Content-Type: application/json' \
--cookie session= \
--data '
{
"workspaceId": "<string>",
"accountId": "<string>",
"messageId": "<string>",
"messageText": "<string>",
"chatId": "<string>",
"contextMessages": "<array>",
"customLabels": [
"<string>"
],
"providerMessageId": "<string>"
}
'import requests
url = "https://connie.ai/api/inbox/classify"
payload = {
"workspaceId": "<string>",
"accountId": "<string>",
"messageId": "<string>",
"messageText": "<string>",
"chatId": "<string>",
"contextMessages": "<array>",
"customLabels": ["<string>"],
"providerMessageId": "<string>"
}
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({
workspaceId: '<string>',
accountId: '<string>',
messageId: '<string>',
messageText: '<string>',
chatId: '<string>',
contextMessages: '<array>',
customLabels: ['<string>'],
providerMessageId: '<string>'
})
};
fetch('https://connie.ai/api/inbox/classify', 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/inbox/classify",
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([
'workspaceId' => '<string>',
'accountId' => '<string>',
'messageId' => '<string>',
'messageText' => '<string>',
'chatId' => '<string>',
'contextMessages' => '<array>',
'customLabels' => [
'<string>'
],
'providerMessageId' => '<string>'
]),
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/inbox/classify"
payload := strings.NewReader("{\n \"workspaceId\": \"<string>\",\n \"accountId\": \"<string>\",\n \"messageId\": \"<string>\",\n \"messageText\": \"<string>\",\n \"chatId\": \"<string>\",\n \"contextMessages\": \"<array>\",\n \"customLabels\": [\n \"<string>\"\n ],\n \"providerMessageId\": \"<string>\"\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/inbox/classify")
.header("cookie", "session=")
.header("Content-Type", "application/json")
.body("{\n \"workspaceId\": \"<string>\",\n \"accountId\": \"<string>\",\n \"messageId\": \"<string>\",\n \"messageText\": \"<string>\",\n \"chatId\": \"<string>\",\n \"contextMessages\": \"<array>\",\n \"customLabels\": [\n \"<string>\"\n ],\n \"providerMessageId\": \"<string>\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://connie.ai/api/inbox/classify")
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 \"workspaceId\": \"<string>\",\n \"accountId\": \"<string>\",\n \"messageId\": \"<string>\",\n \"messageText\": \"<string>\",\n \"chatId\": \"<string>\",\n \"contextMessages\": \"<array>\",\n \"customLabels\": [\n \"<string>\"\n ],\n \"providerMessageId\": \"<string>\"\n}"
response = http.request(request)
puts response.read_body{
"success": true,
"classification": {
"primaryLabel": "<string>",
"primaryScore": 123,
"allLabels": [
"<string>"
],
"allScores": [
123
]
},
"autoAppliedLabels": [
"<string>"
]
}Authorizations
Body
application/json