#how can I integrate conversational ai and built in an flutter app that I'm building, I need to make
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To integrate Conversational AI into your Flutter app and ensure personalization for each customer/session, you can follow these steps:
-
Dynamic Conversation Settings: Use the override feature to implement dynamic conversation settings for each client. This allows you to customize greetings, adjust responses based on client-specific data, and modify voice settings per conversation.
-
Tracking Minutes: While our platform doesn't directly support billing based on session duration, you can implement a mechanism to track the minutes used by each customer. This can be achieved through the API, where you can monitor the duration of each session and manage the purchase of additional minutes.
-
Integration with Third-Party Services: Consider using external function calls to provide your agent with real-time information and the ability to take action in third-party apps. This can help in managing session data and billing.
-
Privacy and Compliance: Ensure that your app clearly discloses to users that they are interacting with AI, especially in personalized settings. This is important for privacy compliance and user transparency.
For more detailed guidance, you may want to review the documentation on integrating Conversational AI and managing session data.
how can I achieve tracking minutes through an API? And how do I just use your UI in the app?
To integrate Conversational AI into your Flutter app and track minutes through an API, you can follow these steps:
-
API Integration for Tracking Minutes:
- Use the ElevenLabs API to manage session durations. You can create a backend service that tracks the start and end times of each session.
- Calculate the duration of each session and store this information in your database.
- Implement logic to deduct minutes from the user's account based on the session duration and handle purchasing additional minutes if needed.
-
Using ElevenLabs UI in Your App:
- While there isn't a direct UI component from ElevenLabs to embed in your app, you can use the SDKs provided by ElevenLabs to build a custom interface.
- Use the React SDK or Python SDK as a reference to understand how to interact with the Conversational AI API.
- Implement the UI in Flutter to handle user interactions, microphone access, and display conversation status.
-
Personalization for Each Customer/Session:
- Use the override feature to customize conversation settings for each client. This allows you to adjust responses, greetings, and voice settings based on client-specific data.
- Store user preferences and session data in your backend to ensure each session is personalized.
By following these steps, you can effectively integrate and manage Conversational AI in your Flutter app, ensuring a personalized experience for each user while tracking session durations.
on the API tracking, can you provide me with a sample?
To track minutes through an API, you can implement a system that logs the start and end times of each session. Here's a basic example of how you might achieve this:
- Start Session: When a session begins, record the start time.
- End Session: When the session ends, record the end time.
- Calculate Duration: Subtract the start time from the end time to get the session duration in minutes.
- Store Data: Save this information in your database to keep track of usage.
Here's a simple example in JavaScript:
let sessionStartTime;
let sessionEndTime;
// Function to start the session
function startSession() {
sessionStartTime = new Date();
console.log("Session started at:", sessionStartTime);
}
// Function to end the session
function endSession() {
sessionEndTime = new Date();
console.log("Session ended at:", sessionEndTime);
calculateSessionDuration();
}
// Function to calculate session duration
function calculateSessionDuration() {
const duration = (sessionEndTime - sessionStartTime) / 60000; // Convert milliseconds to minutes
console.log("Session duration in minutes:", duration);
// Store the duration in your database
}
For integrating the UI in your Flutter app, you can use a WebView to display the ElevenLabs UI if it's available as a web component. Alternatively, you can build a custom UI in Flutter and use the ElevenLabs API to handle the backend logic.
but if I use a WebView to display the ElevenLabs UI, how do I keep track of minute usage?
To track minute usage when using a WebView to display the ElevenLabs UI, you would need to implement a system on your backend that monitors API calls related to the text-to-speech service. Here's a general approach:
-
API Monitoring: Set up your backend to log each API request made to ElevenLabs. This can include details like the duration of the audio generated, which can be used to calculate the minutes used.
-
Session Management: Assign a unique session ID to each user session. This ID can be used to track and associate API usage with specific users.
-
Usage Calculation: For each API call, calculate the duration of the audio generated and add it to the user's total usage. This can be done by parsing the response from the API, which should include the duration of the generated audio.
-
Database Logging: Store the usage data in a database, associating it with the user's account. This allows you to keep a running total of minutes used and manage any additional purchases of minutes.
-
User Interface: Update the user interface to display the remaining minutes to the user. This can be done by fetching the usage data from your backend and displaying it in the app.
By implementing these steps, you can effectively track and manage minute usage for each user session while using the ElevenLabs UI in a WebView.
can you provide me with a sample of this API in go, and the flutter WebView implementation?
To track minute usage through an API, you can set up a backend service that communicates with the ElevenLabs API to monitor and log the duration of each session. Here's a basic outline of how you might implement this in Go for the backend and Flutter for the WebView.
Go Backend Sample
-
Set Up Your Go Environment: Ensure you have Go installed and set up a new project.
-
Create a Simple Server: Use the
net/httppackage to create a server that handles requests for starting and ending sessions.
package main
import (
"fmt"
"net/http"
"time"
)
var sessionStart time.Time
func startSession(w http.ResponseWriter, r *http.Request) {
sessionStart = time.Now()
fmt.Fprintf(w, "Session started at %v", sessionStart)
}
func endSession(w http.ResponseWriter, r *http.Request) {
sessionEnd := time.Now()
duration := sessionEnd.Sub(sessionStart)
fmt.Fprintf(w, "Session ended. Duration: %v", duration)
// Here, you would log the duration to a database or another storage solution
}
func main() {
http.HandleFunc("/start", startSession)
http.HandleFunc("/end", endSession)
http.ListenAndServe(":8080", nil)
}
Flutter WebView Implementation
- Add WebView Package: Add the
webview_flutterpackage to yourpubspec.yaml.
dependencies:
flutter:
sdk: flutter
webview_flutter: ^2.0.10
- Implement WebView in Flutter: Use the WebView widget to display the ElevenLabs UI.
import 'package:flutter/material.dart';
import 'package:webview_flutter/webview_flutter.dart';
void main() => runApp(MyApp());
class MyApp extends StatelessWidget {
@override
Widget build(BuildContext context) {
return MaterialApp(
home: WebViewExample(),
);
}
}
class WebViewExample extends StatefulWidget {
@override
WebViewExampleState createState() => WebViewExampleState();
}
class WebViewExampleState extends State<WebViewExample> {
@override
Widget build(BuildContext context) {
return Scaffold(
appBar: AppBar(title: Text("ElevenLabs WebView")),
body: WebView(
initialUrl: 'https://your-elevenlabs-url.com',
javascriptMode: JavascriptMode.unrestricted,
),
);
}
}
Tracking Minutes
To track minutes, you can send requests to your Go backend when a session starts and ends. The backend can calculate the duration and store it in a database. You can then retrieve this data to manage user billing and usage.
This setup allows you to integrate ElevenLabs' UI in your Flutter app while keeping track of usage through a backend service.
but my agent has authentication activated, how do i deal with this?
To integrate ElevenLabs Conversational AI into your Flutter app and track minute usage, you can follow these steps:
API Tracking in Go
To track minutes through an API, you can create an endpoint in your Go backend that logs the duration of each session. Here's a simple example:
package main
import (
"net/http"
"time"
"log"
"encoding/json"
)
type Session struct {
UserID string `json:"user_id"`
StartTime time.Time `json:"start_time"`
EndTime time.Time `json:"end_time"`
}
func trackSession(w http.ResponseWriter, r *http.Request) {
var session Session
err := json.NewDecoder(r.Body).Decode(&session)
if err != nil {
http.Error(w, err.Error(), http.StatusBadRequest)
return
}
duration := session.EndTime.Sub(session.StartTime).Minutes()
log.Printf("User %s used %f minutes", session.UserID, duration)
w.WriteHeader(http.StatusOK)
}
func main() {
http.HandleFunc("/track", trackSession)
log.Fatal(http.ListenAndServe(":8080", nil))
}
Flutter WebView Implementation
To use a WebView in Flutter to display the ElevenLabs UI, you can use the webview_flutter package. Here's a basic setup:
import 'package:flutter/material.dart';
import 'package:webview_flutter/webview_flutter.dart';
void main() => runApp(MyApp());
class MyApp extends StatelessWidget {
@override
Widget build(BuildContext context) {
return MaterialApp(
home: WebViewExample(),
);
}
}
class WebViewExample extends StatefulWidget {
@override
WebViewExampleState createState() => WebViewExampleState();
}
class WebViewExampleState extends State<WebViewExample> {
@override
Widget build(BuildContext context) {
return Scaffold(
appBar: AppBar(title: Text("ElevenLabs UI")),
body: WebView(
initialUrl: 'https://your-elevenlabs-url.com',
javascriptMode: JavascriptMode.unrestricted,
),
);
}
}
Handling Authentication
If your agent requires authentication, you will need to handle this in your Flutter app. You can pass authentication tokens or credentials through the WebView's URL or headers. Ensure that your backend securely manages these tokens and that they are not exposed in the frontend.
For example, you can modify the WebView to include headers:
WebView(
initialUrl: 'https://your-elevenlabs-url.com',
javascriptMode: JavascriptMode.unrestricted,
onWebViewCreated: (WebViewController webViewController) {
webViewController.loadUrl(
'https://your-elevenlabs-url.com',
headers: <String, String>{
'Authorization': 'Bearer your_token',
},
);
},
)
Make sure to replace 'your_token' with the actual token you use for authentication. Always ensure that sensitive information is handled securely.
How do I get this token from a server?
To handle authentication for an agent with authentication activated, you need to generate a signed URL on your server. This signed URL provides secure, temporary access to the conversational API without exposing your API key to the client. Below is an example of how to set this up:
Server-Side Implementation (Go Example)
Here’s how you can create an endpoint in Go to generate the signed URL:
package main
import (
"encoding/json"
"fmt"
"log"
"net/http"
"os"
)
type SignedURLResponse struct {
SignedURL string `json:"signed_url"`
}
func getSignedURLHandler(w http.ResponseWriter, r *http.Request) {
agentID := os.Getenv("AGENT_ID")
apiKey := os.Getenv("XI_API_KEY")
if agentID == "" || apiKey == "" {
http.Error(w, "Missing AGENT_ID or XI_API_KEY environment variables", http.StatusInternalServerError)
return
}
url := fmt.Sprintf("https://api.elevenlabs.io/v1/convai/conversation/get_signed_url?agent_id=%s", agentID)
req, err := http.NewRequest("GET", url, nil)
if err != nil {
http.Error(w, "Failed to create request", http.StatusInternalServerError)
return
}
req.Header.Set("xi-api-key", apiKey)
client := &http.Client{}
resp, err := client.Do(req)
if err != nil || resp.StatusCode != http.StatusOK {
http.Error(w, "Failed to get signed URL", http.StatusInternalServerError)
return
}
defer resp.Body.Close()
var signedURLResponse SignedURLResponse
if err := json.NewDecoder(resp.Body).Decode(&signedURLResponse); err != nil {
http.Error(w, "Failed to parse response", http.StatusInternalServerError)
return
}
w.Header().Set("Content-Type", "application/json")
json.NewEncoder(w).Encode(signedURLResponse)
}
func main() {
http.HandleFunc("/api/signed-url", getSignedURLHandler)
port := "3000"
log.Printf("Server running on port %s", port)
log.Fatal(http.ListenAndServe(":"+port, nil))
}
Steps to Use This Endpoint
- Deploy this server code and ensure the
AGENT_IDandXI_API_KEYare set as environment variables. - The client (Flutter app) will call this
/api/signed-urlendpoint to retrieve the signed URL.
Flutter WebView Implementation
To integrate the ElevenLabs UI in your Flutter app using a WebView:
-
Add the
webview_flutterpackage to yourpubspec.yaml:dependencies: webview_flutter: ^4.0.0 -
Use the WebView widget to load the ElevenLabs UI:
import 'package:flutter/material.dart'; import 'package:webview_flutter/webview_flutter.dart'; import 'dart:convert'; import 'package:http/http.dart' as http; class ElevenLabsWebView extends StatefulWidget { @override _ElevenLabsWebViewState createState() => _ElevenLabsWebViewState(); } class _ElevenLabsWebViewState extends State<ElevenLabsWebView> { late WebViewController _controller; String? signedUrl; @override void initState() { super.initState(); fetchSignedUrl(); } Future<void> fetchSignedUrl() async { final response = await http.get(Uri.parse('http://your-server.com/api/signed-url')); if (response.statusCode == 200) { final data = json.decode(response.body); setState(() { signedUrl = data['signed_url']; }); } else { throw Exception('Failed to load signed URL'); } } @override Widget build(BuildContext context) { return Scaffold( appBar: AppBar( title: Text('ElevenLabs Conversational AI'), ), body: signedUrl == null ? Center(child: CircularProgressIndicator()) : WebView( initialUrl: signedUrl, javascriptMode: JavascriptMode.unrestricted, onWebViewCreated: (WebViewController webViewController) { _controller = webViewController; }, ), ); } }
Tracking Minute Usage
To track minute usage, you can use the ElevenLabs API to monitor usage analytics