Amazon Lex Model Building Service
amazonaws · Cloud
Amazon Lex Build-Time Actions Amazon Lex is an AWS service for building conversational voice and text interfaces. Use these actions to create, update, and delete conversational bots for new and existing client applications.
Authentication
Sample Requests
Returns bot information as follows: If you provide the nameContains field, the response includes information for the $LATEST version of all bots whose name contains the specified string. If you don't specify the nameContains</cod
Hover any highlighted part to learn what it does
curl -X GET "https://api.apis.guru/v2/specs/amazonaws.com/lex-models/2017-04-19/bots/?nextToken=example&maxResults=1&nameContains=example"
import requests
params = {
"nextToken": "example",
"maxResults": "1",
"nameContains": "example"
}
response = requests.get(
"https://api.apis.guru/v2/specs/amazonaws.com/lex-models/2017-04-19/bots/",
params=params,
)
print(response.json())const url = new URL('https://api.apis.guru/v2/specs/amazonaws.com/lex-models/2017-04-19/bots/');
url.searchParams.set('nextToken', 'example');
url.searchParams.set('maxResults', '1');
url.searchParams.set('nameContains', '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/amazonaws.com/lex-models/2017-04-19/bots/")
q := baseURL.Query()
q.Set("nextToken", "example")
q.Set("maxResults", "1")
q.Set("nameContains", "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/amazonaws.com/lex-models/2017-04-19/bots/")
uri.query = URI.encode_www_form({
"nextToken" => "example",
"maxResults" => "1",
"nameContains" => "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/amazonaws.com/lex-models/2017-04-19/bots/?" . http_build_query([
"nextToken" => "example",
"maxResults" => "1",
"nameContains" => "example"
]);
$opts = ["http" => [
"method" => "GET",
]];
$ctx = stream_context_create($opts);
$res = file_get_contents($url, false, $ctx);
print_r(json_decode($res, true));Returns intent information as follows: If you specify the nameContains field, returns the $LATEST version of all intents that contain the specified string. If you don't specify the nameContains field, returns information
Hover any highlighted part to learn what it does
curl -X GET "https://api.apis.guru/v2/specs/amazonaws.com/lex-models/2017-04-19/intents/?nextToken=example&maxResults=1&nameContains=example"
import requests
params = {
"nextToken": "example",
"maxResults": "1",
"nameContains": "example"
}
response = requests.get(
"https://api.apis.guru/v2/specs/amazonaws.com/lex-models/2017-04-19/intents/",
params=params,
)
print(response.json())const url = new URL('https://api.apis.guru/v2/specs/amazonaws.com/lex-models/2017-04-19/intents/');
url.searchParams.set('nextToken', 'example');
url.searchParams.set('maxResults', '1');
url.searchParams.set('nameContains', '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/amazonaws.com/lex-models/2017-04-19/intents/")
q := baseURL.Query()
q.Set("nextToken", "example")
q.Set("maxResults", "1")
q.Set("nameContains", "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/amazonaws.com/lex-models/2017-04-19/intents/")
uri.query = URI.encode_www_form({
"nextToken" => "example",
"maxResults" => "1",
"nameContains" => "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/amazonaws.com/lex-models/2017-04-19/intents/?" . http_build_query([
"nextToken" => "example",
"maxResults" => "1",
"nameContains" => "example"
]);
$opts = ["http" => [
"method" => "GET",
]];
$ctx = stream_context_create($opts);
$res = file_get_contents($url, false, $ctx);
print_r(json_decode($res, true));Gets a list of migrations between Amazon Lex V1 and Amazon Lex V2.
Hover any highlighted part to learn what it does
curl -X GET "https://api.apis.guru/v2/specs/amazonaws.com/lex-models/2017-04-19/migrations?nextToken=example&maxResults=1&sortByOrder=ASCENDING&sortByAttribute=V1_BOT_NAME&v1BotNameContains=example&migrationStatusEquals=IN_PROGRESS"
import requests
params = {
"nextToken": "example",
"maxResults": "1",
"sortByOrder": "ASCENDING",
"sortByAttribute": "V1_BOT_NAME",
"v1BotNameContains": "example",
"migrationStatusEquals": "IN_PROGRESS"
}
response = requests.get(
"https://api.apis.guru/v2/specs/amazonaws.com/lex-models/2017-04-19/migrations",
params=params,
)
print(response.json())const url = new URL('https://api.apis.guru/v2/specs/amazonaws.com/lex-models/2017-04-19/migrations');
url.searchParams.set('nextToken', 'example');
url.searchParams.set('maxResults', '1');
url.searchParams.set('sortByOrder', 'ASCENDING');
url.searchParams.set('sortByAttribute', 'V1_BOT_NAME');
url.searchParams.set('v1BotNameContains', 'example');
url.searchParams.set('migrationStatusEquals', 'IN_PROGRESS');
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/amazonaws.com/lex-models/2017-04-19/migrations")
q := baseURL.Query()
q.Set("nextToken", "example")
q.Set("maxResults", "1")
q.Set("sortByOrder", "ASCENDING")
q.Set("sortByAttribute", "V1_BOT_NAME")
q.Set("v1BotNameContains", "example")
q.Set("migrationStatusEquals", "IN_PROGRESS")
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/amazonaws.com/lex-models/2017-04-19/migrations")
uri.query = URI.encode_www_form({
"nextToken" => "example",
"maxResults" => "1",
"sortByOrder" => "ASCENDING",
"sortByAttribute" => "V1_BOT_NAME",
"v1BotNameContains" => "example",
"migrationStatusEquals" => "IN_PROGRESS"
})
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/amazonaws.com/lex-models/2017-04-19/migrations?" . http_build_query([
"nextToken" => "example",
"maxResults" => "1",
"sortByOrder" => "ASCENDING",
"sortByAttribute" => "V1_BOT_NAME",
"v1BotNameContains" => "example",
"migrationStatusEquals" => "IN_PROGRESS"
]);
$opts = ["http" => [
"method" => "GET",
]];
$ctx = stream_context_create($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 Amazon Lex Model Building Service?
Amazon Lex Model Building Service 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. Amazon Lex Model Building Service is free to use, making it a low-risk choice to experiment with.
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