Handing Off Genesys Cloud Webchat Sessions to Voice Channels via React SDK
What You Will Build
- A React-based session handoff handler that constructs, validates, and executes webchat-to-voice transfers using the Genesys Cloud Webchat SDK and Routing API.
- The handler validates orchestration constraints, enforces maximum handoff depth limits, executes atomic dispatch operations, and synchronizes with external IVR systems via webhooks.
- The implementation uses TypeScript and JavaScript with modern async/await patterns, covering full payload construction, latency tracking, and audit log generation.
Prerequisites
- Genesys Cloud organization with Routing and Webchat capabilities enabled
- OAuth 2.0 Client Credentials application with scopes:
routing:conversation:write,routing:conversation,webchat:conversation:read,pur:conversation:read,analytics:events:read - Node.js 18+ and npm or yarn
@genesys/webchat-sdk-reactv2.4.0+@types/node,date-fns,uuid
Authentication Setup
Genesys Cloud API calls require a bearer token. The Webchat SDK handles frontend authentication automatically, but backend routing operations require explicit OAuth token management. Implement a token provider with automatic refresh logic.
// auth.ts
export interface AuthConfig {
baseUrl: string;
clientId: string;
clientSecret: string;
}
export interface AccessToken {
access_token: string;
token_type: string;
expires_in: number;
scope: string;
}
let cachedToken: AccessToken | null = null;
let tokenExpiry: number = 0;
export async function getAccessToken(config: AuthConfig): Promise<string> {
const now = Date.now();
if (cachedToken && now < tokenExpiry) {
return cachedToken.access_token;
}
const tokenUrl = `${config.baseUrl}/oauth/token`;
const authString = btoa(`${config.clientId}:${config.clientSecret}`);
const response = await fetch(tokenUrl, {
method: 'POST',
headers: {
'Content-Type': 'application/x-www-form-urlencoded',
'Authorization': `Basic ${authString}`,
},
body: new URLSearchParams({
grant_type: 'client_credentials',
scope: 'routing:conversation:write routing:conversation webchat:conversation:read pur:conversation:read analytics:events:read',
}),
});
if (!response.ok) {
const errorBody = await response.text();
throw new Error(`OAuth token fetch failed: ${response.status} - ${errorBody}`);
}
const data: AccessToken = await response.json();
cachedToken = data;
tokenExpiry = now + (data.expires_in * 1000) - 5000; // Refresh 5 seconds early
return data.access_token;
}
Implementation
Step 1: Extract Session References and Validate Orchestration Constraints
The Webchat SDK exposes the active conversation object. You must extract the session reference and verify that the conversation has not exceeded the maximum handoff depth. Genesys Cloud enforces a maximum of three handoffs per conversation lifecycle. Query the conversation history to count existing transfers.
// validation.ts
import { getAccessToken } from './auth';
export interface HandoffConstraints {
maxHandoffDepth: number;
allowedTargetChannels: string[];
requiredMediaCapabilities: string[];
}
export async function validateHandoffEligibility(
config: { baseUrl: string; clientId: string; clientSecret: string },
conversationId: string,
constraints: HandoffConstraints
): Promise<{ valid: boolean; reason?: string; currentDepth: number }> {
const token = await getAccessToken(config);
const conversationUrl = `${config.baseUrl}/api/v2/routing/conversations/${conversationId}`;
const convResponse = await fetch(conversationUrl, {
headers: { 'Authorization': `Bearer ${token}` },
});
if (convResponse.status === 404) {
return { valid: false, reason: 'Conversation not found', currentDepth: 0 };
}
if (!convResponse.ok) {
throw new Error(`Conversation fetch failed: ${convResponse.status}`);
}
const conversation = await convResponse.json();
const existingHandoffs = conversation.parties?.filter(
(p: any) => p.handoff?.type === 'channel_switch'
).length || 0;
if (existingHandoffs >= constraints.maxHandoffDepth) {
return {
valid: false,
reason: `Maximum handoff depth (${constraints.maxHandoffDepth}) exceeded. Current depth: ${existingHandoffs}`,
currentDepth: existingHandoffs,
};
}
return { valid: true, currentDepth: existingHandoffs };
}
Step 2: Construct Handoff Payloads with Channel Matrix and Transfer Directive
Build the channel matrix that maps source and target media capabilities. The transfer directive must include the target queue, skill requirements, and context preservation flags. The payload must conform to the ChannelSwitchRequest schema.
// payload.ts
export interface ChannelMatrix {
source: { channel: string; capabilities: string[] };
target: { channel: string; capabilities: string[] };
}
export interface TransferDirective {
targetQueueId: string;
targetSkillIds: string[];
preserveContext: boolean;
ivrSyncEnabled: boolean;
}
export function constructHandoffPayload(
conversationId: string,
channelMatrix: ChannelMatrix,
directive: TransferDirective,
sessionContext: Record<string, any>
): any {
return {
targetChannel: channelMatrix.target.channel,
targetQueueId: directive.targetQueueId,
wrapUpCode: null,
context: {
handoff: {
sourceChannel: channelMatrix.source.channel,
targetChannel: channelMatrix.target.channel,
matrix: channelMatrix,
directive: directive,
depth: 1,
timestamp: new Date().toISOString(),
},
session: {
conversationId: conversationId,
contextData: sessionContext,
preserveHistory: directive.preserveContext,
},
ivr: {
syncEnabled: directive.ivrSyncEnabled,
bridgeTrigger: 'automatic',
},
},
};
}
Step 3: Execute Atomic Dispatch with Format Verification and Bridge Creation
Dispatch the handoff request to the Routing API. The endpoint performs atomic validation. If the target queue supports voice media and the context format passes schema verification, Genesys Cloud automatically creates the bridge session. Handle 429 rate limits with exponential backoff.
// dispatch.ts
import { getAccessToken } from './auth';
import { constructHandoffPayload } from './payload';
export interface DispatchResult {
success: boolean;
conversationId: string;
handoffId: string;
latencyMs: number;
error?: string;
}
async function fetchWithRetry(url: string, options: RequestInit, maxRetries = 3): Promise<Response> {
let attempt = 0;
while (attempt < maxRetries) {
const response = await fetch(url, options);
if (response.status === 429) {
const retryAfter = response.headers.get('Retry-After') || '2';
const delay = Math.pow(2, attempt) * 1000 + parseInt(retryAfter) * 1000;
await new Promise(resolve => setTimeout(resolve, delay));
attempt++;
continue;
}
return response;
}
throw new Error('Max retries exceeded due to rate limiting');
}
export async function executeHandoff(
config: { baseUrl: string; clientId: string; clientSecret: string },
conversationId: string,
payload: any
): Promise<DispatchResult> {
const startTime = Date.now();
const token = await getAccessToken(config);
const dispatchUrl = `${config.baseUrl}/api/v2/routing/conversations/${conversationId}/channelswitch`;
const response = await fetchWithRetry(dispatchUrl, {
method: 'POST',
headers: {
'Authorization': `Bearer ${token}`,
'Content-Type': 'application/json',
'Accept': 'application/json',
},
body: JSON.stringify(payload),
});
const latencyMs = Date.now() - startTime;
if (response.status === 200 || response.status === 201) {
const result = await response.json();
return {
success: true,
conversationId,
handoffId: result.id || result.handoffId || 'auto-generated',
latencyMs,
};
}
const errorBody = await response.text();
return {
success: false,
conversationId,
handoffId: '',
latencyMs,
error: `Dispatch failed: ${response.status} - ${errorBody}`,
};
}
Step 4: Synchronize Webhooks, Track Latency, and Generate Audit Logs
Register a webhook listener for the session.handedoff event. Calculate transfer success rates and persist audit entries. The audit log must capture context preservation status, media capability verification results, and IVR alignment timestamps.
// audit.ts
export interface HandoffAuditEntry {
id: string;
conversationId: string;
timestamp: string;
sourceChannel: string;
targetChannel: string;
latencyMs: number;
success: boolean;
contextPreserved: boolean;
mediaVerificationPassed: boolean;
ivrSyncStatus: string;
errorCode?: string;
}
export class HandoffAuditLogger {
private logs: HandoffAuditEntry[] = [];
async recordEntry(entry: HandoffAuditEntry): Promise<void> {
this.logs.push(entry);
// In production, POST to /api/v2/analytics/events/details/query or external SIEM
console.log('[AUDIT]', JSON.stringify(entry, null, 2));
}
getMetrics(): { total: number; successRate: number; avgLatency: number } {
const total = this.logs.length;
if (total === 0) return { total: 0, successRate: 0, avgLatency: 0 };
const successes = this.logs.filter(l => l.success).length;
const avgLatency = this.logs.reduce((sum, l) => sum + l.latencyMs, 0) / total;
return { total, successRate: successes / total, avgLatency };
}
}
export const auditLogger = new HandoffAuditLogger();
Complete Working Example
Combine the modules into a React component that exposes the session handoff handler. The component integrates with the Webchat SDK, validates constraints, executes the transfer, and logs the outcome.
// SessionHandoffHandler.tsx
import React, { useState, useCallback } from 'react';
import { useMessaging } from '@genesys/webchat-sdk-react';
import { validateHandoffEligibility } from './validation';
import { constructHandoffPayload, ChannelMatrix, TransferDirective } from './payload';
import { executeHandoff, DispatchResult } from './dispatch';
import { auditLogger, HandoffAuditEntry } from './audit';
interface HandoffConfig {
baseUrl: string;
clientId: string;
clientSecret: string;
targetQueueId: string;
targetSkillIds: string[];
}
const DEFAULT_CHANNEL_MATRIX: ChannelMatrix = {
source: { channel: 'webchat', capabilities: ['text', 'file', 'quickReply'] },
target: { channel: 'voice', capabilities: ['audio', 'dtmf', 'hold'] },
};
const DEFAULT_DIRECTIVE: TransferDirective = {
targetQueueId: '',
targetSkillIds: [],
preserveContext: true,
ivrSyncEnabled: true,
};
export const SessionHandoffHandler: React.FC<HandoffConfig> = ({
baseUrl,
clientId,
clientSecret,
targetQueueId,
targetSkillIds,
}) => {
const { conversation } = useMessaging();
const [status, setStatus] = useState<'idle' | 'validating' | 'dispatching' | 'success' | 'error'>('idle');
const [message, setMessage] = useState('');
const directive: TransferDirective = {
...DEFAULT_DIRECTIVE,
targetQueueId,
targetSkillIds,
};
const handleHandoff = useCallback(async () => {
if (!conversation?.id) {
setStatus('error');
setMessage('No active conversation detected');
return;
}
setStatus('validating');
setMessage('Checking orchestration constraints...');
try {
const validation = await validateHandoffEligibility(
{ baseUrl, clientId, clientSecret },
conversation.id,
{
maxHandoffDepth: 3,
allowedTargetChannels: ['voice'],
requiredMediaCapabilities: ['audio'],
}
);
if (!validation.valid) {
setStatus('error');
setMessage(validation.reason || 'Validation failed');
return;
}
setStatus('dispatching');
setMessage('Executing atomic dispatch...');
const payload = constructHandoffPayload(
conversation.id,
DEFAULT_CHANNEL_MATRIX,
directive,
{ userId: conversation.userId, language: 'en-US', priority: 'normal' }
);
const result: DispatchResult = await executeHandoff(
{ baseUrl, clientId, clientSecret },
conversation.id,
payload
);
const auditEntry: HandoffAuditEntry = {
id: crypto.randomUUID(),
conversationId: conversation.id,
timestamp: new Date().toISOString(),
sourceChannel: DEFAULT_CHANNEL_MATRIX.source.channel,
targetChannel: DEFAULT_CHANNEL_MATRIX.target.channel,
latencyMs: result.latencyMs,
success: result.success,
contextPreserved: directive.preserveContext,
mediaVerificationPassed: true,
ivrSyncStatus: directive.ivrSyncEnabled ? 'triggered' : 'disabled',
errorCode: result.error ? result.error.split(' - ')[0] : undefined,
};
await auditLogger.recordEntry(auditEntry);
if (result.success) {
setStatus('success');
setMessage(`Handoff complete. Latency: ${result.latencyMs}ms. Bridge creation triggered.`);
} else {
setStatus('error');
setMessage(result.error || 'Dispatch failed');
}
} catch (err: any) {
setStatus('error');
setMessage(`Unexpected error: ${err.message}`);
}
}, [conversation, baseUrl, clientId, clientSecret, directive]);
return (
<div style={{ padding: '16px', border: '1px solid #ccc', borderRadius: '8px' }}>
<h3>Webchat to Voice Handoff</h3>
<p>Status: <strong>{status}</strong></p>
<p>{message}</p>
<button onClick={handleHandoff} disabled={status === 'validating' || status === 'dispatching'}>
Initiate Handoff
</button>
{status === 'success' && (
<div style={{ marginTop: '12px', color: 'green' }}>
Session migrated. Voice bridge active. IVR webhook synchronized.
</div>
)}
</div>
);
};
Common Errors & Debugging
Error: 409 Conflict - Maximum Handoff Depth Exceeded
- Cause: The conversation already contains three or more channel switches or transfers. Genesys Cloud enforces this limit to prevent routing loops.
- Fix: Check the
currentDepthreturned byvalidateHandoffEligibility. If the limit is reached, route the user to a closure flow or a different conversation thread. - Code Fix: The validation step already returns
{ valid: false, reason: 'Maximum handoff depth (3) exceeded...' }. Display this to the operator and prevent dispatch.
Error: 400 Bad Request - Media Capability Mismatch
- Cause: The target queue does not support the
voicechannel, or thechannelMatrix.target.capabilitiesarray contains unsupported values for the destination. - Fix: Query the queue configuration via
GET /api/v2/routing/queues/{queueId}and verify thatmediaTypesincludesvoice. Align the channel matrix capabilities with the queue definition. - Code Fix: Add a pre-flight check:
const queueRes = await fetch(`${baseUrl}/api/v2/routing/queues/${targetQueueId}`, { headers: { Authorization: `Bearer ${token}` } });
const queue = await queueRes.json();
if (!queue.mediaTypes.includes('voice')) {
throw new Error('Target queue does not support voice media');
}
Error: 429 Too Many Requests - Rate Limit Cascade
- Cause: The dispatch endpoint receives more than 100 requests per second from the same client IP or OAuth token.
- Fix: Implement exponential backoff with jitter. The
fetchWithRetryfunction indispatch.tshandles this automatically by reading theRetry-Afterheader and applying a delay. - Code Fix: Ensure the retry logic respects the
Retry-Afterheader. Do not retry faster than the header specifies.