Language Understanding Intelligent Service (LUIS) Endpoint API for running predictions and extracting user intentions and entities from utterances.
azure · Cloud
Language Understanding Intelligent Service (LUIS) Endpoint API for running predictions and extracting user intentions and entities from utterances. API
Authentication
Sample Requests
Gets predictions for a given utterance, in the form of intents and entities. The current maximum query size is 500 characters.
Hover any highlighted part to learn what it does
curl -X GET "https://api.apis.guru/v2/specs/azure.com/cognitiveservices-LUIS-Runtime/v2.0 preview/{appId}?q=test&log=true&staging=true&verbose=true&spellCheck=true&timezoneOffset=1&bing-spell-check-subscription-key=example"import requests
params = {
"q": "test",
"log": "true",
"staging": "true",
"verbose": "true",
"spellCheck": "true",
"timezoneOffset": "1",
"bing-spell-check-subscription-key": "example"
}
response = requests.get(
"https://api.apis.guru/v2/specs/azure.com/cognitiveservices-LUIS-Runtime/v2.0 preview/{appId}",
params=params,
)
print(response.json())const url = new URL('https://api.apis.guru/v2/specs/azure.com/cognitiveservices-LUIS-Runtime/v2.0 preview/{appId}');
url.searchParams.set('q', 'test');
url.searchParams.set('log', 'true');
url.searchParams.set('staging', 'true');
url.searchParams.set('verbose', 'true');
url.searchParams.set('spellCheck', 'true');
url.searchParams.set('timezoneOffset', '1');
url.searchParams.set('bing-spell-check-subscription-key', 'example');
const response = await fetch(url);
const data = await response.json();
console.log(data);package main
import (
"fmt"
"io"
"net/http"
"net/url"
)
func main() {
baseURL, _ := url.Parse("https://api.apis.guru/v2/specs/azure.com/cognitiveservices-LUIS-Runtime/v2.0 preview/{appId}")
q := baseURL.Query()
q.Set("q", "test")
q.Set("log", "true")
q.Set("staging", "true")
q.Set("verbose", "true")
q.Set("spellCheck", "true")
q.Set("timezoneOffset", "1")
q.Set("bing-spell-check-subscription-key", "example")
baseURL.RawQuery = q.Encode()
targetURL := baseURL.String()
req, _ := http.NewRequest("GET", targetURL, nil)
client := &http.Client{}
resp, _ := client.Do(req)
defer resp.Body.Close()
body, _ := io.ReadAll(resp.Body)
fmt.Println(string(body))
}require "net/http"
require "json"
uri = URI("https://api.apis.guru/v2/specs/azure.com/cognitiveservices-LUIS-Runtime/v2.0 preview/{appId}")
uri.query = URI.encode_www_form({
"q" => "test",
"log" => "true",
"staging" => "true",
"verbose" => "true",
"spellCheck" => "true",
"timezoneOffset" => "1",
"bing-spell-check-subscription-key" => "example"
})
http = Net::HTTP.new(uri.host, uri.port)
http.use_ssl = uri.scheme == "https"
req = Net::HTTP::Get.new(uri)
res = http.request(req)
puts JSON.parse(res.body)<?php
$url = "https://api.apis.guru/v2/specs/azure.com/cognitiveservices-LUIS-Runtime/v2.0 preview/{appId}?" . http_build_query([
"q" => "test",
"log" => "true",
"staging" => "true",
"verbose" => "true",
"spellCheck" => "true",
"timezoneOffset" => "1",
"bing-spell-check-subscription-key" => "example"
]);
$opts = ["http" => [
"method" => "GET",
]];
$ctx = stream_context_create($opts);
$res = file_get_contents($url, false, $ctx);
print_r(json_decode($res, true));Gets predictions for a given utterance, in the form of intents and entities. The current maximum query size is 500 characters.
Hover any highlighted part to learn what it does
curl -X POST "https://api.apis.guru/v2/specs/azure.com/cognitiveservices-LUIS-Runtime/v2.0 preview/{appId}?log=true&staging=true&verbose=true&spellCheck=true&timezoneOffset=1&bing-spell-check-subscription-key=example"import requests
params = {
"log": "true",
"staging": "true",
"verbose": "true",
"spellCheck": "true",
"timezoneOffset": "1",
"bing-spell-check-subscription-key": "example"
}
response = requests.post(
"https://api.apis.guru/v2/specs/azure.com/cognitiveservices-LUIS-Runtime/v2.0 preview/{appId}",
params=params,
)
print(response.json())const url = new URL('https://api.apis.guru/v2/specs/azure.com/cognitiveservices-LUIS-Runtime/v2.0 preview/{appId}');
url.searchParams.set('log', 'true');
url.searchParams.set('staging', 'true');
url.searchParams.set('verbose', 'true');
url.searchParams.set('spellCheck', 'true');
url.searchParams.set('timezoneOffset', '1');
url.searchParams.set('bing-spell-check-subscription-key', 'example');
const response = await fetch(url, {
method: 'POST',
});
const data = await response.json();
console.log(data);package main
import (
"fmt"
"io"
"net/http"
"net/url"
)
func main() {
baseURL, _ := url.Parse("https://api.apis.guru/v2/specs/azure.com/cognitiveservices-LUIS-Runtime/v2.0 preview/{appId}")
q := baseURL.Query()
q.Set("log", "true")
q.Set("staging", "true")
q.Set("verbose", "true")
q.Set("spellCheck", "true")
q.Set("timezoneOffset", "1")
q.Set("bing-spell-check-subscription-key", "example")
baseURL.RawQuery = q.Encode()
targetURL := baseURL.String()
req, _ := http.NewRequest("POST", targetURL, nil)
client := &http.Client{}
resp, _ := client.Do(req)
defer resp.Body.Close()
body, _ := io.ReadAll(resp.Body)
fmt.Println(string(body))
}require "net/http"
require "json"
uri = URI("https://api.apis.guru/v2/specs/azure.com/cognitiveservices-LUIS-Runtime/v2.0 preview/{appId}")
uri.query = URI.encode_www_form({
"log" => "true",
"staging" => "true",
"verbose" => "true",
"spellCheck" => "true",
"timezoneOffset" => "1",
"bing-spell-check-subscription-key" => "example"
})
http = Net::HTTP.new(uri.host, uri.port)
http.use_ssl = uri.scheme == "https"
req = Net::HTTP::Post.new(uri)
res = http.request(req)
puts JSON.parse(res.body)<?php
$url = "https://api.apis.guru/v2/specs/azure.com/cognitiveservices-LUIS-Runtime/v2.0 preview/{appId}?" . http_build_query([
"log" => "true",
"staging" => "true",
"verbose" => "true",
"spellCheck" => "true",
"timezoneOffset" => "1",
"bing-spell-check-subscription-key" => "example"
]);
$opts = ["http" => [
"method" => "POST",
]];
$ctx = stream_context_create($opts);
$res = file_get_contents($url, false, $ctx);
print_r(json_decode($res, true));Postman Setup Guide
- See official documentation for authentication and setup.
What can you build with Language Understanding Intelligent Service (LUIS) Endpoint API for running predictions and extracting user intentions and entities from utterances.?
Language Understanding Intelligent Service (LUIS) Endpoint API for running predictions and extracting user intentions and entities from utterances. is a Cloud API. Developers commonly use cloud APIs for:
- provisioning and managing cloud infrastructure
- automating deployments and container orchestration
- monitoring uptime and performance metrics
- managing storage buckets and databases
- setting up auto-scaling and load balancing
No authentication required. This API is open — no signup or key needed. Ideal for quick prototypes and public-facing features. Language Understanding Intelligent Service (LUIS) Endpoint API for running predictions and extracting user intentions and entities from utterances. is free to use, making it a low-risk choice to experiment with.
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