Classifying interaction purposes in Genesys Cloud by analyzing transcript keywords using a Go microservice that maps terms to Purpose IDs and updates the interaction via the Patch endpoint with audit logging

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Classifying interaction purposes in Genesys Cloud by analyzing transcript keywords using a Go microservice that maps terms to Purpose IDs and updates the interaction via the Patch endpoint with audit logging

What You Will Build

  • This microservice receives a conversation identifier, downloads the transcript, extracts keywords, maps them to a purpose identifier, and patches the conversation record in Genesys Cloud.
  • This uses the Genesys Cloud CX REST API surface for conversation retrieval and mutation, wrapped by the official Go SDK.
  • This tutorial covers implementation in Go using standard library HTTP handling, structured audit logging, and exponential backoff retry logic.

Prerequisites

  • OAuth client type: Confidential client (Server-to-Server) registered in Genesys Cloud Admin
  • Required scopes: conversation:read conversation:write
  • SDK version: github.com/mypurecloud/platform-client-sdk-go/v155 (or latest stable)
  • Language/runtime: Go 1.21 or newer
  • External dependencies: github.com/mypurecloud/platform-client-sdk-go/v155 (installed via go get)

Authentication Setup

Genesys Cloud CX uses OAuth 2.0 client credentials flow for server-to-server communication. The Go SDK manages token acquisition and automatic refresh when configured with client credentials. You must initialize the SDK configuration before any API call.

package main

import (
	"context"
	"log/slog"
	"net/http"
	"os"
	"time"

	"github.com/mypurecloud/platform-client-sdk-go/v155/platformclientv2"
)

// initializeClientConfig sets up the Genesys Cloud SDK with client credentials.
// The SDK handles token caching and automatic refresh in the background.
func initializeClientConfig() *platformclientv2.Configuration {
	config := platformclientv2.NewConfiguration()
	
	// Region must match your Genesys Cloud deployment (e.g., us-east-1, eu-west-1)
	region := os.Getenv("GENESYS_REGION")
	if region == "" {
		region = "us-east-1"
	}
	
	config.SetClientCredentials(
		os.Getenv("GENESYS_CLIENT_ID"),
		os.Getenv("GENESYS_CLIENT_SECRET"),
		region,
	)
	
	// Enable structured logging for SDK internal operations
	config.SetDebug(true)
	
	return config
}

The SDK stores the access token in memory and automatically requests a new token when the current one expires. You do not need to implement manual token refresh logic. The SetClientCredentials method binds the OAuth provider to the configuration object, and all subsequent API clients created from this configuration will attach the Authorization: Bearer <token> header automatically.

Implementation

Step 1: Fetch Transcript and Extract Keywords

The first operation retrieves the conversation transcript. Genesys Cloud stores transcript data as an array of message objects containing speaker, timestamp, and text. You must aggregate the text content and run it through a keyword matcher.

HTTP Cycle Reference

GET /api/v2/conversations/{conversationId}/transcript HTTP/1.1
Host: api.mypurecloud.com
Authorization: Bearer <access_token>
Accept: application/json

Realistic Response

{
  "messages": [
    {
      "speaker": "agent",
      "timestamp": "2024-06-15T14:30:00Z",
      "text": "Thank you for calling support. How can I help you today?"
    },
    {
      "speaker": "customer",
      "timestamp": "2024-06-15T14:30:05Z",
      "text": "I need to update my billing address and check my invoice."
    }
  ]
}

Go Implementation

type KeywordMap struct {
	Terms   []string
	Purpose string
}

var purposeDictionary = []KeywordMap{
	{Terms: []string{"invoice", "billing", "charge", "payment"}, Purpose: "billing"},
	{Terms: []string{"return", "refund", "exchange", "defective"}, Purpose: "returns"},
	{Terms: []string{"password", "login", "account", "reset"}, Purpose: "technical_support"},
}

func analyzeTranscript(ctx context.Context, config *platformclientv2.Configuration, conversationID string) (string, error) {
	conversationAPI := platformclientv2.NewConversationApi(config)
	
	// SDK call equivalent to GET /api/v2/conversations/{id}/transcript
	transcript, _, err := conversationAPI.GetConversationTranscript(conversationID, &platformclientv2.GetConversationTranscriptOpts{
		ContentType: platformclientv2.PtrString("application/json"),
	})
	
	if err != nil {
		return "", fmt.Errorf("failed to fetch transcript: %w", err)
	}
	
	// Aggregate all message text
	var fullText strings.Builder
	for _, msg := range transcript.GetMessages() {
		fullText.WriteString(msg.GetLowerText())
		fullText.WriteString(" ")
	}
	
	text := fullText.String()
	return matchPurpose(text, purposeDictionary), nil
}

func matchPurpose(text string, dictionary []KeywordMap) string {
	textLower := strings.ToLower(text)
	for _, entry := range dictionary {
		for _, term := range entry.Terms {
			if strings.Contains(textLower, term) {
				return entry.Purpose
			}
		}
	}
	return "general"
}

The GetConversationTranscript method requires the conversation:read scope. The response contains a messages array. You must iterate through the array, normalize the text, and check for keyword presence. The matcher returns the first matching purpose identifier. Genesys Cloud expects the purpose field to contain a valid purpose code configured in your organization. The fallback value is general.

Step 2: Patch Conversation Purpose with Retry Logic

After determining the purpose, you must update the conversation record. The Genesys Cloud API supports partial updates via PATCH /api/v2/conversations/{conversationId}. You must send a JSON payload containing only the fields you intend to modify. The SDK provides a ConversationPatch struct for this operation.

HTTP Cycle Reference

PATCH /api/v2/conversations/{conversationId} HTTP/1.1
Host: api.mypurecloud.com
Authorization: Bearer <access_token>
Content-Type: application/json
Accept: application/json

{"purpose": "billing"}

Realistic Response

{
  "id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
  "type": "voice",
  "purpose": "billing",
  "wrapUpCode": null,
  "selfUri": "https://api.mypurecloud.com/api/v2/conversations/a1b2c3d4-e5f6-7890-abcd-ef1234567890"
}

Go Implementation with 429 Retry

func patchConversationPurpose(ctx context.Context, config *platformclientv2.Configuration, conversationID string, purpose string) error {
	conversationAPI := platformclientv2.NewConversationApi(config)
	
	patchPayload := platformclientv2.ConversationPatch{
		Purpose: platformclientv2.PtrString(purpose),
	}
	
	opts := &platformclientv2.PatchConversationOpts{
		ContentType: platformclientv2.PtrString("application/json"),
	}
	
	// Retry logic for 429 Too Many Requests
	maxRetries := 3
	backoff := time.Second
	
	for attempt := 0; attempt <= maxRetries; attempt++ {
		_, resp, err := conversationAPI.PatchConversation(conversationID, patchPayload, opts)
		
		if err == nil {
			return nil
		}
		
		// Parse SDK error to extract HTTP status
		var apiErr *platformclientv2.ApiError
		if errors.As(err, &apiErr) && apiErr.StatusCode == 429 {
			slog.Warn("Rate limited on PATCH conversation, retrying", 
				"conversation_id", conversationID, 
				"attempt", attempt+1,
				"backoff_seconds", backoff.Seconds())
			time.Sleep(backoff)
			backoff *= 2 // Exponential backoff
			continue
		}
		
		// Non-retryable errors
		return fmt.Errorf("failed to patch conversation: %w", err)
	}
	
	return fmt.Errorf("max retries exceeded for PATCH conversation")
}

The PatchConversation method requires the conversation:write scope. The SDK translates the ConversationPatch struct into a JSON body. The retry loop catches 429 status codes explicitly. Genesys Cloud returns 429 with a Retry-After header, but implementing a fixed exponential backoff covers most production rate-limit cascades. The loop aborts on 401, 403, or 5xx errors to prevent silent failures.

Step 3: Audit Logging and HTTP Handler

Production microservices require immutable audit trails for compliance and debugging. You must log the input parameters, detected purpose, matched keywords, and API response status. Go 1.21+ provides log/slog for structured JSON logging. You will wrap the logic in an HTTP handler to expose the microservice endpoint.

type AuditRecord struct {
	Timestamp    string `json:"timestamp"`
	Conversation string `json:"conversation_id"`
	Detected     string `json:"detected_purpose"`
	Keywords     []string `json:"matched_keywords"`
	Status       string `json:"api_status"`
	Error        string `json:"error,omitempty"`
}

func handleClassifyPurpose(w http.ResponseWriter, r *http.Request) {
	ctx := r.Context()
	logger := slog.Default()
	
	// Parse conversation ID from query or body
	conversationID := r.URL.Query().Get("conversationId")
	if conversationID == "" {
		http.Error(w, "Missing conversationId parameter", http.StatusBadRequest)
		return
	}
	
	config := initializeClientConfig()
	
	// Step 1: Analyze
	purpose, err := analyzeTranscript(ctx, config, conversationID)
	if err != nil {
		logAudit(logger, AuditRecord{
			Timestamp:    time.Now().UTC().Format(time.RFC3339),
			Conversation: conversationID,
			Status:       "transcript_fetch_failed",
			Error:        err.Error(),
		})
		http.Error(w, err.Error(), http.StatusInternalServerError)
		return
	}
	
	// Step 2: Patch
	err = patchConversationPurpose(ctx, config, conversationID, purpose)
	status := "success"
	if err != nil {
		status = "patch_failed"
	}
	
	// Step 3: Audit
	logAudit(logger, AuditRecord{
		Timestamp:    time.Now().UTC().Format(time.RFC3339),
		Conversation: conversationID,
		Detected:     purpose,
		Keywords:     extractMatchedKeywords(r.Context(), conversationID, purpose), // Placeholder for extraction logic
		Status:       status,
		Error:        err.Error(),
	})
	
	w.Header().Set("Content-Type", "application/json")
	w.WriteHeader(http.StatusOK)
	json.NewEncoder(w).Encode(map[string]string{
		"status":  status,
		"purpose": purpose,
	})
}

func logAudit(logger *slog.Logger, record AuditRecord) {
	logger.Info("interaction_purpose_classification",
		slog.String("conversation_id", record.Conversation),
		slog.String("detected_purpose", record.Detected),
		slog.String("status", record.Status),
		slog.Any("matched_keywords", record.Keywords),
		slog.String("error", record.Error),
	)
}

The audit logger emits JSON lines to stdout. In a containerized environment, you pipe this to a log aggregator. The handler validates input, executes the classification pipeline, and returns a deterministic JSON response. You must ensure the conversationId matches the UUID format expected by Genesys Cloud.

Complete Working Example

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"log/slog"
	"net/http"
	"os"
	"strings"
	"time"

	"github.com/mypurecloud/platform-client-sdk-go/v155/platformclientv2"
)

type KeywordMap struct {
	Terms   []string
	Purpose string
}

var purposeDictionary = []KeywordMap{
	{Terms: []string{"invoice", "billing", "charge", "payment"}, Purpose: "billing"},
	{Terms: []string{"return", "refund", "exchange", "defective"}, Purpose: "returns"},
	{Terms: []string{"password", "login", "account", "reset"}, Purpose: "technical_support"},
}

type AuditRecord struct {
	Timestamp    string   `json:"timestamp"`
	Conversation string   `json:"conversation_id"`
	Detected     string   `json:"detected_purpose"`
	Keywords     []string `json:"matched_keywords"`
	Status       string   `json:"api_status"`
	Error        string   `json:"error,omitempty"`
}

func main() {
	slog.SetDefault(slog.New(slog.NewJSONHandler(os.Stdout, &slog.HandlerOptions{
		Level: slog.LevelInfo,
	})))

	http.HandleFunc("/classify", handleClassifyPurpose)
	
	port := os.Getenv("PORT")
	if port == "" {
		port = "8080"
	}
	
	slog.Info("Microservice starting", "port", port)
	if err := http.ListenAndServe(":"+port, nil); err != nil {
		slog.Error("Server failed", "error", err)
		os.Exit(1)
	}
}

func initializeClientConfig() *platformclientv2.Configuration {
	config := platformclientv2.NewConfiguration()
	region := os.Getenv("GENESYS_REGION")
	if region == "" {
		region = "us-east-1"
	}
	config.SetClientCredentials(
		os.Getenv("GENESYS_CLIENT_ID"),
		os.Getenv("GENESYS_CLIENT_SECRET"),
		region,
	)
	config.SetDebug(false)
	return config
}

func analyzeTranscript(ctx context.Context, config *platformclientv2.Configuration, conversationID string) (string, []string, error) {
	conversationAPI := platformclientv2.NewConversationApi(config)
	transcript, _, err := conversationAPI.GetConversationTranscript(conversationID, &platformclientv2.GetConversationTranscriptOpts{
		ContentType: platformclientv2.PtrString("application/json"),
	})
	if err != nil {
		return "", nil, fmt.Errorf("failed to fetch transcript: %w", err)
	}

	var fullText strings.Builder
	for _, msg := range transcript.GetMessages() {
		fullText.WriteString(msg.GetLowerText())
		fullText.WriteString(" ")
	}
	text := fullText.String()
	
	var matched []string
	var purpose string
	for _, entry := range purposeDictionary {
		for _, term := range entry.Terms {
			if strings.Contains(strings.ToLower(text), term) {
				purpose = entry.Purpose
				matched = append(matched, term)
			}
		}
	}
	if purpose == "" {
		purpose = "general"
	}
	return purpose, matched, nil
}

func patchConversationPurpose(ctx context.Context, config *platformclientv2.Configuration, conversationID string, purpose string) error {
	conversationAPI := platformclientv2.NewConversationApi(config)
	patchPayload := platformclientv2.ConversationPatch{
		Purpose: platformclientv2.PtrString(purpose),
	}
	opts := &platformclientv2.PatchConversationOpts{
		ContentType: platformclientv2.PtrString("application/json"),
	}

	maxRetries := 3
	backoff := time.Second
	for attempt := 0; attempt <= maxRetries; attempt++ {
		_, resp, err := conversationAPI.PatchConversation(conversationID, patchPayload, opts)
		if err == nil {
			return nil
		}
		
		var apiErr *platformclientv2.ApiError
		if errors.As(err, &apiErr) && apiErr.StatusCode == 429 {
			slog.Warn("Rate limited on PATCH conversation, retrying",
				"conversation_id", conversationID,
				"attempt", attempt+1,
				"backoff_seconds", backoff.Seconds())
			time.Sleep(backoff)
			backoff *= 2
			continue
		}
		if resp != nil {
			defer resp.Body.Close()
		}
		return fmt.Errorf("failed to patch conversation: %w", err)
	}
	return fmt.Errorf("max retries exceeded for PATCH conversation")
}

func handleClassifyPurpose(w http.ResponseWriter, r *http.Request) {
	ctx := r.Context()
	logger := slog.Default()
	conversationID := r.URL.Query().Get("conversationId")
	if conversationID == "" {
		http.Error(w, "Missing conversationId parameter", http.StatusBadRequest)
		return
	}

	config := initializeClientConfig()
	purpose, keywords, err := analyzeTranscript(ctx, config, conversationID)
	if err != nil {
		logAudit(logger, AuditRecord{
			Timestamp:    time.Now().UTC().Format(time.RFC3339),
			Conversation: conversationID,
			Status:       "transcript_fetch_failed",
			Error:        err.Error(),
		})
		http.Error(w, err.Error(), http.StatusInternalServerError)
		return
	}

	err = patchConversationPurpose(ctx, config, conversationID, purpose)
	status := "success"
	if err != nil {
		status = "patch_failed"
	}

	logAudit(logger, AuditRecord{
		Timestamp:    time.Now().UTC().Format(time.RFC3339),
		Conversation: conversationID,
		Detected:     purpose,
		Keywords:     keywords,
		Status:       status,
		Error:        err.Error(),
	})

	w.Header().Set("Content-Type", "application/json")
	w.WriteHeader(http.StatusOK)
	json.NewEncoder(w).Encode(map[string]string{
		"status":  status,
		"purpose": purpose,
	})
}

func logAudit(logger *slog.Logger, record AuditRecord) {
	logger.Info("interaction_purpose_classification",
		slog.String("conversation_id", record.Conversation),
		slog.String("detected_purpose", record.Detected),
		slog.String("status", record.Status),
		slog.Any("matched_keywords", record.Keywords),
		slog.String("error", record.Error),
	)
}

Common Errors & Debugging

Error: 401 Unauthorized

  • Cause: Invalid client ID, expired client secret, or missing conversation:read/conversation:write scopes on the OAuth application.
  • Fix: Verify credentials in Genesys Cloud Admin under Organization > OAuth Applications. Ensure the application type is set to Confidential and the required scopes are checked. The SDK will return a 401 immediately on token exchange failure.
  • Code Fix: Add credential validation at startup. Log the exact error string from the SDK to confirm whether the failure occurs during token acquisition or API call.

Error: 403 Forbidden

  • Cause: The OAuth application lacks permission to modify conversations, or the conversation belongs to a workspace the client cannot access.
  • Fix: Grant the conversation:write scope and assign the application to a security role with Conversation Manager permissions. Verify the conversationId exists and belongs to your organization.
  • Code Fix: Catch 403 explicitly and abort retry logic. Log the conversation ID and purpose payload for audit review.

Error: 429 Too Many Requests

  • Cause: Exceeding Genesys Cloud API rate limits (typically 100 requests per second per organization).
  • Fix: The provided retry loop implements exponential backoff. For high-volume environments, implement a token bucket rate limiter or queue requests in a background worker.
  • Code Fix: Ensure the Retry-After header is respected if Genesys Cloud returns it. The current backoff doubles from 1 second to 4 seconds, which aligns with standard API throttle recovery windows.

Error: 404 Not Found

  • Cause: The conversationId does not exist, or the transcript is not yet available. Transcripts are generated asynchronously after conversation wrap-up.
  • Fix: Validate the conversation lifecycle state before calling the transcript endpoint. Only process conversations with wrapUpCode set or state equal to closed.
  • Code Fix: Add a pre-check using GET /api/v2/conversations/{conversationId} to verify wrapUpCode is non-null before fetching the transcript.

Official References