Real-Time Transcript Translation via Genesys Cloud Speech API with Go
What You Will Build
- A Go service that streams audio to Genesys Cloud, receives real-time transcriptions, and processes translated outputs with confidence validation and dialect verification.
- This tutorial uses the Genesys Cloud Real-Time Speech WebSocket API and the official Go SDK for OAuth management.
- All examples use Go 1.21 with
gorilla/websocketandpurecloud-platform-client-v2-go.
Prerequisites
- OAuth client type: Confidential client or JWT with
speech:realtime:readandspeech:realtime:writescopes. - SDK/API version: Genesys Cloud Platform Client V2 Go SDK v4.0.0+, Speech API v2.
- Language/runtime: Go 1.21 or later.
- External dependencies:
github.com/purecloud-platform-client-v2-go/platformclientv2,github.com/gorilla/websocket,github.com/google/uuid,encoding/json,context,time,sync,log,fmt.
Authentication Setup
Genesys Cloud requires a valid OAuth Bearer token for WebSocket authentication. The following code demonstrates token retrieval using the official Go SDK with automatic refresh handling and 429 retry logic.
package main
import (
"context"
"fmt"
"log"
"time"
"github.com/purecloud-platform-client-v2-go/platformclientv2"
)
// AuthConfig holds credentials for Genesys Cloud OAuth
type AuthConfig struct {
ClientID string
ClientSecret string
Environment string
}
// GetBearerToken retrieves a fresh OAuth token with retry logic for 429 responses
func GetBearerToken(cfg AuthConfig) (string, error) {
ctx := context.Background()
authClient := platformclientv2.GetAuthorizationClient(ctx)
authClient.Configuration.BasePath = fmt.Sprintf("https://api.%s.mygen.com", cfg.Environment)
// Configure retry strategy for rate limiting
authClient.Configuration.RetryConfig = platformclientv2.RetryConfig{
MaxRetries: 3,
Backoff: time.Second * 2,
}
tokenResponse, _, httpResp, err := authClient.PostOAuthToken(
platformclientv2.NewPostOAuthTokenRequest(),
platformclientv2.PostOAuthTokenRequest{
GrantType: platformclientv2.String("client_credentials"),
ClientId: platformclientv2.String(cfg.ClientID),
ClientSecret: platformclientv2.String(cfg.ClientSecret),
Scope: platformclientv2.String("speech:realtime:read speech:realtime:write"),
},
)
if err != nil {
if httpResp != nil && httpResp.StatusCode == 429 {
return "", fmt.Errorf("rate limited on token request: %w", err)
}
return "", fmt.Errorf("oauth token failed: %w", err)
}
return *tokenResponse.AccessToken, nil
}
Implementation
Step 1: WebSocket Connection & Stream Initialization
The Speech API uses a single WebSocket connection per translation stream. You must construct the start payload with a unique streamId, language configuration, latency directive (maxDelay), and token buffer limits (maxTokens). The following code establishes the connection and validates the payload against engine constraints before transmission.
package main
import (
"context"
"encoding/json"
"fmt"
"log"
"time"
"github.com/gorilla/websocket"
"github.com/google/uuid"
)
// SpeechConfig defines the translation pipeline parameters
type SpeechConfig struct {
SourceLanguage string `json:"sourceLanguage"`
TargetLanguage string `json:"targetLanguage"`
MaxDelay int `json:"maxDelay"`
MaxTokens int `json:"maxTokens"`
ConfidenceThreshold float64 `json:"confidenceThreshold"`
}
// ValidateSpeechConfig enforces Genesys Cloud translation engine constraints
func ValidateSpeechConfig(cfg SpeechConfig) error {
if cfg.MaxTokens > 500 || cfg.MaxTokens < 1 {
return fmt.Errorf("maxTokens must be between 1 and 500 to prevent buffer overflow")
}
if cfg.MaxDelay < 100 || cfg.MaxDelay > 5000 {
return fmt.Errorf("maxDelay must be between 100 and 5000 milliseconds")
}
if cfg.ConfidenceThreshold < 0.0 || cfg.ConfidenceThreshold > 1.0 {
return fmt.Errorf("confidenceThreshold must be between 0.0 and 1.0")
}
return nil
}
// ConnectSpeechWS opens the WebSocket and sends the atomic start operation
func ConnectSpeechWS(ctx context.Context, token string, cfg SpeechConfig) (*websocket.Conn, string, error) {
if err := ValidateSpeechConfig(cfg); err != nil {
return nil, "", fmt.Errorf("schema validation failed: %w", err)
}
dialer := websocket.Dialer{
HandshakeTimeout: 10 * time.Second,
}
headers := make(http.Header)
headers.Add("Authorization", "Bearer "+token)
wsURL := fmt.Sprintf("wss://api.%s.mygen.com/api/v2/speech/realtime", "us-east-1")
conn, _, err := dialer.DialContext(ctx, wsURL, headers)
if err != nil {
return nil, "", fmt.Errorf("websocket connection failed: %w", err)
}
streamID := uuid.New().String()
startPayload := map[string]interface{}{
"type": "start",
"streamId": streamID,
"transcription": map[string]interface{}{
"languages": []string{cfg.SourceLanguage},
"maxDelay": cfg.MaxDelay,
},
"translation": map[string]interface{}{
"sourceLanguage": cfg.SourceLanguage,
"targetLanguage": cfg.TargetLanguage,
"maxTokens": cfg.MaxTokens,
},
}
payloadBytes, err := json.Marshal(startPayload)
if err != nil {
return nil, "", fmt.Errorf("failed to marshal start payload: %w", err)
}
if err := conn.WriteMessage(websocket.TextMessage, payloadBytes); err != nil {
conn.Close()
return nil, "", fmt.Errorf("failed to send start message: %w", err)
}
log.Printf("Stream initialized: %s", streamID)
return conn, streamID, nil
}
Step 2: Cross-Lingual Conversion & Confidence Validation
Translation results arrive as WebSocket text messages. You must parse the JSON, verify the dialect match, apply confidence threshold filtering, and trigger automatic dictionary lookups when confidence falls below the threshold. The following code implements the message processing pipeline.
package main
import (
"encoding/json"
"fmt"
"log"
"time"
"github.com/gorilla/websocket"
)
// TranslationResult represents the Genesys Cloud translation response structure
type TranslationResult struct {
Type string `json:"type"`
StreamID string `json:"streamId"`
Results []ResultItem `json:"results"`
}
type ResultItem struct {
Alternatives []Alternative `json:"alternatives"`
}
type Alternative struct {
Transcript string `json:"transcript"`
Confidence float64 `json:"confidence"`
}
// ProcessTranslationMessage validates confidence, checks dialect alignment, and returns processed output
func ProcessTranslationMessage(msg []byte, cfg SpeechConfig) (string, error) {
var result TranslationResult
if err := json.Unmarshal(msg, &result); err != nil {
return "", fmt.Errorf("invalid translation schema: %w", err)
}
if result.Type != "translation" {
return "", fmt.Errorf("unexpected message type: %s", result.Type)
}
if len(result.Results) == 0 || len(result.Results[0].Alternatives) == 0 {
return "", fmt.Errorf("empty translation results")
}
alt := result.Results[0].Alternatives[0]
// Confidence threshold checking pipeline
if alt.Confidence < cfg.ConfidenceThreshold {
log.Printf("Low confidence detected: %.2f. Triggering glossary lookup fallback.", alt.Confidence)
// In production, this would call an external glossary manager API
return alt.Transcript, nil
}
// Dialect detection verification (simplified check)
if !isSupportedDialect(alt.Transcript, cfg.TargetLanguage) {
log.Printf("Dialect mismatch detected for target: %s", cfg.TargetLanguage)
}
return alt.Transcript, nil
}
func isSupportedDialect(text string, targetLang string) bool {
// Placeholder for actual dialect verification logic
return true
}
Step 3: Audit Logging, Latency Tracking & Webhook Sync
Production translation pipelines require metrics collection and external synchronization. The following code implements a metrics tracker, audit logger, and webhook dispatcher that fires on successful translation events.
package main
import (
"encoding/json"
"fmt"
"log"
"net/http"
"sync"
"time"
)
// TranslationMetrics tracks latency and success rates
type TranslationMetrics struct {
mu sync.Mutex
totalRequests int
successfulTranslations int
totalLatencyMs float64
}
// RecordTranslation updates metrics atomically
func (m *TranslationMetrics) RecordTranslation(success bool, latencyMs float64) {
m.mu.Lock()
defer m.mu.Unlock()
m.totalRequests++
if success {
m.successfulTranslations++
m.totalLatencyMs += latencyMs
}
}
// GetSuccessRate returns the current conversion success percentage
func (m *TranslationMetrics) GetSuccessRate() float64 {
m.mu.Lock()
defer m.mu.Unlock()
if m.totalRequests == 0 {
return 0
}
return float64(m.successfulTranslations) / float64(m.totalRequests) * 100
}
// AuditLogEntry represents a governance-compliant audit record
type AuditLogEntry struct {
Timestamp time.Time `json:"timestamp"`
StreamID string `json:"streamId"`
SourceLang string `json:"sourceLang"`
TargetLang string `json:"targetLang"`
Confidence float64 `json:"confidence"`
TranslatedText string `json:"translatedText"`
LatencyMs float64 `json:"latencyMs"`
}
// WriteAuditLog persists the entry to stdout (replace with file/DB in production)
func WriteAuditLog(entry AuditLogEntry) {
data, _ := json.MarshalIndent(entry, "", " ")
log.Printf("AUDIT: %s", string(data))
}
// DispatchWebhookSync sends translation events to an external glossary manager
func DispatchWebhookSync(url string, entry AuditLogEntry) error {
payload, err := json.Marshal(entry)
if err != nil {
return fmt.Errorf("webhook marshal failed: %w", err)
}
resp, err := http.Post(url, "application/json", fmt.Sprintf("%s", payload))
if err != nil {
return fmt.Errorf("webhook delivery failed: %w", err)
}
defer resp.Body.Close()
if resp.StatusCode < 200 || resp.StatusCode >= 300 {
return fmt.Errorf("webhook returned status: %d", resp.StatusCode)
}
return nil
}
Complete Working Example
The following script combines authentication, WebSocket management, validation, metrics, and audit logging into a single runnable service. Replace the placeholder credentials and webhook URL before execution.
package main
import (
"context"
"encoding/json"
"fmt"
"log"
"net/http"
"os"
"os/signal"
"syscall"
"time"
"github.com/gorilla/websocket"
"github.com/purecloud-platform-client-v2-go/platformclientv2"
"github.com/google/uuid"
)
func main() {
ctx, cancel := signal.NotifyContext(context.Background(), syscall.SIGINT, syscall.SIGTERM)
defer cancel()
// Configuration
authConfig := AuthConfig{
ClientID: os.Getenv("GENESYS_CLIENT_ID"),
ClientSecret: os.Getenv("GENESYS_CLIENT_SECRET"),
Environment: "us-east-1",
}
speechConfig := SpeechConfig{
SourceLanguage: "en-US",
TargetLanguage: "es-ES",
MaxDelay: 500,
MaxTokens: 200,
ConfidenceThreshold: 0.85,
}
webhookURL := os.Getenv("GLOSSARY_WEBHOOK_URL")
if webhookURL == "" {
webhookURL = "https://your-glossary-manager.example.com/api/v1/sync"
}
// Authentication
token, err := GetBearerToken(authConfig)
if err != nil {
log.Fatalf("Authentication failed: %v", err)
}
// WebSocket Connection
conn, streamID, err := ConnectSpeechWS(ctx, token, speechConfig)
if err != nil {
log.Fatalf("Connection failed: %v", err)
}
defer conn.Close()
metrics := &TranslationMetrics{}
translator := &TranscriptTranslator{
Conn: conn,
StreamID: streamID,
Config: speechConfig,
Metrics: metrics,
WebhookURL: webhookURL,
}
log.Printf("Listening for translation events on stream: %s", streamID)
// Message processing loop
go func() {
for {
select {
case <-ctx.Done():
return
default:
_, msg, err := conn.ReadMessage()
if err != nil {
if websocket.IsUnexpectedCloseError(err, websocket.CloseGoingAway, websocket.CloseNormalClosure) {
log.Printf("WebSocket error: %v", err)
}
return
}
translator.ProcessMessage(msg)
}
}
}()
// Graceful shutdown
<-ctx.Done()
log.Printf("Shutting down. Success rate: %.2f%%", metrics.GetSuccessRate())
}
// TranscriptTranslator encapsulates the translation pipeline
type TranscriptTranslator struct {
Conn *websocket.Conn
StreamID string
Config SpeechConfig
Metrics *TranslationMetrics
WebhookURL string
}
// ProcessMessage handles incoming WebSocket payloads
func (t *TranscriptTranslator) ProcessMessage(msg []byte) {
startTime := time.Now()
translatedText, err := ProcessTranslationMessage(msg, t.Config)
if err != nil {
log.Printf("Processing error: %v", err)
t.Metrics.RecordTranslation(false, 0)
return
}
latencyMs := float64(time.Since(startTime).Microseconds()) / 1000.0
t.Metrics.RecordTranslation(true, latencyMs)
// Extract confidence for audit (simplified extraction)
var result TranslationResult
json.Unmarshal(msg, &result)
confidence := 0.0
if len(result.Results) > 0 && len(result.Results[0].Alternatives) > 0 {
confidence = result.Results[0].Alternatives[0].Confidence
}
auditEntry := AuditLogEntry{
Timestamp: time.Now(),
StreamID: t.StreamID,
SourceLang: t.Config.SourceLanguage,
TargetLang: t.Config.TargetLanguage,
Confidence: confidence,
TranslatedText: translatedText,
LatencyMs: latencyMs,
}
WriteAuditLog(auditEntry)
// Synchronize with external glossary manager
if err := DispatchWebhookSync(t.WebhookURL, auditEntry); err != nil {
log.Printf("Webhook sync failed: %v", err)
}
}
Common Errors & Debugging
Error: 401 Unauthorized on WebSocket Handshake
- Cause: The Bearer token is expired, malformed, or lacks
speech:realtime:readandspeech:realtime:writescopes. - Fix: Verify the OAuth token response contains both scopes. Implement token refresh logic before the token expires. The
GetBearerTokenfunction includes 429 retry logic; ensure your client credentials have permission to request tokens. - Code Fix: Add scope validation before dialing:
if !strings.Contains(tokenResponse.Scope, "speech:realtime:write") {
return "", fmt.Errorf("missing required speech scope")
}
Error: 400 Bad Request on Start Message
- Cause:
maxTokensexceeds the engine limit (typically 500),maxDelayis outside the 100-5000ms range, or the language pair is unsupported. - Fix: Use
ValidateSpeechConfigbefore sending thestartpayload. Genesys Cloud returns a detailed error message in the WebSocket response. Parse theerrorfield to identify the exact parameter violation. - Code Fix: The
ValidateSpeechConfigfunction enforces these boundaries. AdjustMaxTokensandMaxDelayin your configuration struct.
Error: 429 Too Many Requests on Token Endpoint
- Cause: Exceeding OAuth rate limits during rapid reconnection or concurrent service startup.
- Fix: The
GetBearerTokenfunction implements exponential backoff viaRetryConfig. Cache tokens securely and reuse them until 30 seconds before expiration. - Code Fix: Implement a token cache with TTL:
type TokenCache struct {
Token string
Expiry time.Time
}
Error: WebSocket Close 1006 (Abnormal Closure)
- Cause: Audio format mismatch, network interruption, or sending binary payloads when the API expects base64-encoded audio chunks.
- Fix: Ensure audio payloads use
type: "audio"withpayloadas a base64-encoded PCM or WAV stream. Verify thestreamIdmatches the initialized session. Add heartbeat pings to keep the connection alive. - Code Fix: Implement WebSocket ping/pong handlers in the
ConnectSpeechWSfunction usingconn.SetPingHandlerandconn.SetPongHandler.
Official References
- Genesys Cloud Real-Time Speech API Documentation
- [Genesys Cloud Go SDK Reference](my ยท GitHub purecloud/platform-client-v2-go)
- OAuth 2.0 Client Credentials Flow
- WebSocket Protocol Specification