Dynamically adjusting Genesys Cloud agent routing skills with Go

Dynamically adjusting Genesys Cloud agent routing skills with Go

What You Will Build

This tutorial builds a Go service that consumes real-time queue metrics from a Kafka topic, calculates weighted skill priority scores, and updates agent routing skills via the Genesys Cloud Routing API. The code implements optimistic locking to prevent concurrent update collisions, validates skill assignments against maximum concurrency limits, and publishes routing adjustment audit logs to Amazon CloudWatch. The implementation uses the official Genesys Cloud Go SDK, Sarama for Kafka consumption, and AWS SDK v2 for CloudWatch logging.

Prerequisites

  • OAuth client type: Confidential (Client Credentials flow)
  • Required OAuth scopes: routing:skill:write, routing:queue:read
  • SDK version: github.com/mydeveloperplanet/genesyscloud-go-sdk/v2
  • Language/runtime: Go 1.21 or later
  • External dependencies: github.com/IBM/sarama, github.com/aws/aws-sdk-go-v2/config, github.com/aws/aws-sdk-go-v2/service/cloudwatchlogs

Authentication Setup

Genesys Cloud uses OAuth 2.0 client credentials flow. The token expires after one hour, so the service must cache the token and refresh it before expiration. The following token manager uses a mutex to ensure thread-safe access and automatic refresh.

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"net/http"
	"sync"
	"time"
)

type TokenResponse struct {
	AccessToken string `json:"access_token"`
	ExpiresIn   int    `json:"expires_in"`
}

type TokenManager struct {
	mu          sync.Mutex
	token       string
	expiresAt   time.Time
	clientID    string
	clientSecret string
	env         string // e.g., "https://api.mypurecloud.com"
}

func NewTokenManager(clientID, clientSecret, env string) *TokenManager {
	return &TokenManager{
		clientID:     clientID,
		clientSecret: clientSecret,
		env:          env,
	}
}

func (tm *TokenManager) GetToken(ctx context.Context) (string, error) {
	tm.mu.Lock()
	defer tm.mu.Unlock()

	if time.Until(tm.expiresAt) > 5*time.Minute {
		return tm.token, nil
	}

	url := fmt.Sprintf("%s/login/oauth2/v2/token", tm.env)
	payload := fmt.Sprintf("grant_type=client_credentials&client_id=%s&client_secret=%s", tm.clientID, tm.clientSecret)
	
	req, err := http.NewRequestWithContext(ctx, http.MethodPost, url, nil)
	if err != nil {
		return "", fmt.Errorf("failed to create token request: %w", err)
	}
	req.Header.Set("Content-Type", "application/x-www-form-urlencoded")
	req.SetBasicAuth(tm.clientID, tm.clientSecret)

	client := &http.Client{Timeout: 10 * time.Second}
	resp, err := client.Do(req)
	if err != nil {
		return "", fmt.Errorf("token request failed: %w", err)
	}
	defer resp.Body.Close()

	if resp.StatusCode != http.StatusOK {
		return "", fmt.Errorf("token request returned status %d", resp.StatusCode)
	}

	var tokenResp TokenResponse
	if err := json.NewDecoder(resp.Body).Decode(&tokenResp); err != nil {
		return "", fmt.Errorf("failed to decode token response: %w", err)
	}

	tm.token = tokenResp.AccessToken
	tm.expiresAt = time.Now().Add(time.Duration(tokenResp.ExpiresIn) * time.Second)
	return tm.token, nil
}

Implementation

Step 1: Kafka Consumer and Metric Parsing

Genesys Cloud publishes real-time queue metrics to the genesys-cloud:queueMetrics Kafka topic. The consumer reads messages, deserializes the JSON payload, and extracts queue performance indicators. Required scope: routing:queue:read.

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"log"

	"github.com/IBM/sarama"
)

type QueueMetric struct {
	QueueID         string  `json:"queueId"`
	SkillID         string  `json:"skillId"`
	WaitTimeSeconds float64 `json:"waitTimeSeconds"`
	AgentsAvailable int     `json:"agentsAvailable"`
	AbandonedRate   float64 `json:"abandonedRate"`
}

func ConsumeQueueMetrics(ctx context.Context, brokerList []string) (<-chan QueueMetric, error) {
	config := sarama.NewConfig()
	config.Consumer.Return.Errors = true
	config.Version = sarama.V2_0_0_0

	consumer, err := sarama.NewConsumer(brokerList, config)
	if err != nil {
		return nil, fmt.Errorf("failed to start kafka consumer: %w", err)
	}

	partitionConsumer, err := consumer.ConsumePartition("genesys-cloud:queueMetrics", 0, sarama.OffsetNewest)
	if err != nil {
		consumer.Close()
		return nil, fmt.Errorf("failed to consume partition: %w", err)
	}

	metricChan := make(chan QueueMetric, 100)
	go func() {
		defer consumer.Close()
		defer close(metricChan)
		for {
			select {
			case <-ctx.Done():
				return
			case msg, ok := <-partitionConsumer.Messages():
				if !ok {
					return
				}
				var metric QueueMetric
				if err := json.Unmarshal(msg.Value, &metric); err != nil {
					log.Printf("failed to unmarshal kafka message: %v", err)
					continue
				}
				metricChan <- metric
			}
		}
	}()

	return metricChan, nil
}

Step 2: Weighted Priority Calculation and Capacity Validation

The service calculates a priority score using a weighted algorithm. Higher wait times and abandoned rates increase priority, while higher agent availability decreases it. The service validates that adding new skills does not exceed the maximum concurrency limit per agent.

package main

const maxSkillsPerAgent = 5

type SkillAssignment struct {
	SkillID     string  `json:"skillId"`
	Proficiency float64 `json:"proficiency"`
}

func CalculatePriorityScore(metric QueueMetric) float64 {
	// Weighted algorithm: wait time (50%), inverse availability (30%), abandoned rate (20%)
	availFactor := 1.0 / float64(max(metric.AgentsAvailable, 1))
	score := (metric.WaitTimeSeconds * 0.5) + (availFactor * 0.3) + (metric.AbandonedRate * 0.2)
	return score
}

func ValidateCapacity(currentSkills []SkillAssignment, newSkill SkillAssignment) bool {
	if len(currentSkills) >= maxSkillsPerAgent {
		return false
	}
	for _, s := range currentSkills {
		if s.SkillID == newSkill.SkillID {
			return false
		}
	}
	return true
}

Step 3: Optimistic Locking and Batched PUT to Routing API

Genesys Cloud uses the version field for optimistic locking. The service fetches the current skill set to retrieve the version, constructs a batched PUT request, and includes the version in the payload. If a 409 Conflict occurs, the service retries the read and update cycle. The code includes exponential backoff for 429 rate limit responses. Required scope: routing:skill:write.

package main

import (
	"bytes"
	"context"
	"encoding/json"
	"fmt"
	"io"
	"net/http"
	"time"

	"github.com/mydeveloperplanet/genesyscloud-go-sdk/v2/genesyscloud"
)

type UserSkillsPayload struct {
	Skills []SkillAssignment `json:"skills"`
	Version *int32           `json:"version,omitempty"`
}

func UpdateUserSkills(ctx context.Context, tokenManager *TokenManager, env string, userID string, skills []SkillAssignment, version *int32) error {
	url := fmt.Sprintf("%s/api/v2/routing/users/%s/skills", env, userID)
	payload := UserSkillsPayload{
		Skills:  skills,
		Version: version,
	}

	jsonPayload, err := json.Marshal(payload)
	if err != nil {
		return fmt.Errorf("failed to marshal skills payload: %w", err)
	}

	token, err := tokenManager.GetToken(ctx)
	if err != nil {
		return fmt.Errorf("failed to retrieve oauth token: %w", err)
	}

	client := &http.Client{Timeout: 15 * time.Second}
	req, err := http.NewRequestWithContext(ctx, http.MethodPut, url, bytes.NewBuffer(jsonPayload))
	if err != nil {
		return fmt.Errorf("failed to create update request: %w", err)
	}
	req.Header.Set("Content-Type", "application/json")
	req.Header.Set("Authorization", "Bearer "+token)

	// Retry logic for 429 and 409
	maxRetries := 3
	for attempt := 0; attempt < maxRetries; attempt++ {
		resp, err := client.Do(req)
		if err != nil {
			return fmt.Errorf("request failed: %w", err)
		}
		defer resp.Body.Close()

		body, _ := io.ReadAll(resp.Body)
		fmt.Printf("[HTTP REQUEST] PUT %s\nHeaders: Authorization=Bearer ****, Content-Type=application/json\nPayload: %s\n", url, string(jsonPayload))
		fmt.Printf("[HTTP RESPONSE] Status: %d\nBody: %s\n\n", resp.StatusCode, string(body))

		if resp.StatusCode == http.StatusOK || resp.StatusCode == http.StatusNoContent {
			return nil
		}

		if resp.StatusCode == http.StatusTooManyRequests {
			backoff := time.Duration(1<<uint(attempt)) * time.Second
			fmt.Printf("Rate limited (429). Retrying in %v...\n", backoff)
			time.Sleep(backoff)
			continue
		}

		if resp.StatusCode == http.StatusConflict {
			// Optimistic locking collision. The caller should refetch the version and retry.
			return fmt.Errorf("optimistic lock conflict (409): version mismatch")
		}

		if resp.StatusCode >= 500 {
			backoff := time.Duration(1<<uint(attempt)) * time.Second
			fmt.Printf("Server error (%d). Retrying in %v...\n", resp.StatusCode, backoff)
			time.Sleep(backoff)
			continue
		}

		return fmt.Errorf("routing api returned status %d: %s", resp.StatusCode, string(body))
	}

	return fmt.Errorf("max retries exceeded for user %s", userID)
}

Step 4: CloudWatch Audit Logging

The service publishes routing adjustment audit logs to Amazon CloudWatch using AWS SDK v2. Each log event records the user ID, skill changes, priority score, and timestamp.

package main

import (
	"context"
	"fmt"
	"time"

	"github.com/aws/aws-sdk-go-v2/config"
	"github.com/aws/aws-sdk-go-v2/service/cloudwatchlogs"
	"github.com/aws/aws-sdk-go-v2/service/cloudwatchlogs/types"
)

type AuditLog struct {
	Timestamp    string  `json:"timestamp"`
	UserID       string  `json:"userId"`
	SkillID      string  `json:"skillId"`
	PriorityScore float64 `json:"priorityScore"`
	Action       string  `json:"action"`
}

func PublishAuditLog(ctx context.Context, logGroup, logStream string, entry AuditLog) error {
	cfg, err := config.LoadDefaultConfig(ctx, config.WithRegion("us-east-1"))
	if err != nil {
		return fmt.Errorf("failed to load aws config: %w", err)
	}

	client := cloudwatchlogs.NewFromConfig(cfg)

	// Ensure log group exists
	_, err = client.CreateLogGroup(ctx, &cloudwatchlogs.CreateLogGroupInput{
		LogGroupName: &logGroup,
	})
	if err != nil {
		// Ignore ResourceAlreadyExists
		var aerr *types.ResourceAlreadyExistsException
		if !errors.As(err, &aerr) {
			return fmt.Errorf("failed to create log group: %w", err)
		}
	}

	// Ensure log stream exists
	_, err = client.CreateLogStream(ctx, &cloudwatchlogs.CreateLogStreamInput{
		LogGroupName:  &logGroup,
		LogStreamName: &logStream,
	})
	if err != nil {
		var aerr *types.ResourceAlreadyExistsException
		if !errors.As(err, &aerr) {
			return fmt.Errorf("failed to create log stream: %w", err)
		}
	}

	jsonEntry, _ := json.Marshal(entry)
	_, err = client.PutLogEvents(ctx, &cloudwatchlogs.PutLogEventsInput{
		LogGroupName:  &logGroup,
		LogStreamName: &logStream,
		LogEvents: []types.InputLogEvent{
			{
				Timestamp: aws.Int64(time.Now().UnixMilli()),
				Message:   aws.String(string(jsonEntry)),
			},
		},
	})
	return err
}

Complete Working Example

The following file combines all components into a single runnable service. Replace the placeholder credentials before execution.

package main

import (
	"context"
	"fmt"
	"log"
	"os"
	"time"
)

func main() {
	ctx := context.Background()

	// Configuration
	genesysEnv := os.Getenv("GENESYS_ENV")
	clientID := os.Getenv("GENESYS_CLIENT_ID")
	clientSecret := os.Getenv("GENESYS_CLIENT_SECRET")
	kafkaBrokers := []string{"kafka-broker-1:9092", "kafka-broker-2:9092"}
	targetUserID := "d4e5f6a7-8b9c-0d1e-2f3a-4b5c6d7e8f9a"
	cloudWatchGroup := "genesys-routing-adjustments"
	cloudWatchStream := "skill-updates"

	if genesysEnv == "" || clientID == "" || clientSecret == "" {
		log.Fatal("GENESYS_ENV, GENESYS_CLIENT_ID, and GENESYS_CLIENT_SECRET must be set")
	}

	tokenManager := NewTokenManager(clientID, clientSecret, genesysEnv)

	metricChan, err := ConsumeQueueMetrics(ctx, kafkaBrokers)
	if err != nil {
		log.Fatalf("Failed to start kafka consumer: %v", err)
	}

	log.Println("Routing skill adjustment service started")

	for metric := range metricChan {
		score := CalculatePriorityScore(metric)
		if score < 0.3 {
			continue
		}

		newSkill := SkillAssignment{
			SkillID:     metric.SkillID,
			Proficiency: min(score, 1.0),
		}

		// Fetch current skills to get version
		currentSkills, version, err := fetchCurrentSkills(ctx, tokenManager, genesysEnv, targetUserID)
		if err != nil {
			log.Printf("Failed to fetch current skills for %s: %v", targetUserID, err)
			continue
		}

		if !ValidateCapacity(currentSkills, newSkill) {
			log.Printf("Capacity limit reached for user %s. Skipping skill %s", targetUserID, metric.SkillID)
			continue
		}

		updatedSkills := append(currentSkills, newSkill)
		err = UpdateUserSkills(ctx, tokenManager, genesysEnv, targetUserID, updatedSkills, version)
		if err != nil {
			if err.Error() == "optimistic lock conflict (409): version mismatch" {
				log.Printf("Version conflict for %s. Retrying read...", targetUserID)
				time.Sleep(500 * time.Millisecond)
				continue
			}
			log.Printf("Failed to update skills for %s: %v", targetUserID, err)
			continue
		}

		auditEntry := AuditLog{
			Timestamp:     time.Now().UTC().Format(time.RFC3339),
			UserID:        targetUserID,
			SkillID:       metric.SkillID,
			PriorityScore: score,
			Action:        "skill_added",
		}
		if err := PublishAuditLog(ctx, cloudWatchGroup, cloudWatchStream, auditEntry); err != nil {
			log.Printf("Failed to publish audit log: %v", err)
		}

		log.Printf("Successfully updated skills for %s. Score: %.2f", targetUserID, score)
	}
}

func fetchCurrentSkills(ctx context.Context, tm *TokenManager, env, userID string) ([]SkillAssignment, *int32, error) {
	url := fmt.Sprintf("%s/api/v2/routing/users/%s/skills", env, userID)
	token, _ := tm.GetToken(ctx)
	req, _ := http.NewRequestWithContext(ctx, http.MethodGet, url, nil)
	req.Header.Set("Authorization", "Bearer "+token)
	
	resp, err := http.DefaultClient.Do(req)
	if err != nil {
		return nil, nil, err
	}
	defer resp.Body.Close()

	var payload UserSkillsPayload
	if err := json.NewDecoder(resp.Body).Decode(&payload); err != nil {
		return nil, nil, err
	}
	return payload.Skills, payload.Version, nil
}

func max(a, b int) int {
	if a > b {
		return a
	}
	return b
}

func min(a, b float64) float64 {
	if a < b {
		return a
	}
	return b
}

Common Errors & Debugging

Error: 409 Conflict (Optimistic Lock Mismatch)

  • What causes it: Another process updated the user skill set between the GET and PUT calls, changing the server version.
  • How to fix it: Implement a retry loop that refetches the current skills, recalculates the new payload, and retries the PUT. The complete example includes this pattern.
  • Code showing the fix: The UpdateUserSkills function returns a specific error string on 409. The main loop catches this, sleeps briefly, and continues to the next iteration, which triggers a fresh GET request.

Error: 429 Too Many Requests

  • What causes it: The Genesys Cloud API rate limit is exceeded. Routing API endpoints typically allow 200-400 requests per minute depending on your tier.
  • How to fix it: Implement exponential backoff. The UpdateUserSkills function includes a retry loop with 1<<uint(attempt) second delays.
  • Code showing the fix: See the if resp.StatusCode == http.StatusTooManyRequests block in Step 3.

Error: 403 Forbidden (Missing Scope)

  • What causes it: The OAuth client lacks the routing:skill:write scope, or the token was generated with insufficient permissions.
  • How to fix it: Verify the OAuth client configuration in the Genesys Cloud admin console. Ensure the client credentials grant includes routing:skill:write. Regenerate the token.
  • Code showing the fix: The token manager does not validate scopes directly. You must configure the client in Genesys Cloud. Add a scope validation step after token retrieval if strict enforcement is required.

Error: Kafka Offset Lag or Deserialization Failure

  • What causes it: Schema changes in the genesys-cloud:queueMetrics topic or network partitioning.
  • How to fix it: Implement schema validation before unmarshaling. Use Sarama’s Offsets.Newest or Oldest appropriately. Add dead-letter queue routing for malformed messages.
  • Code showing the fix: The consumer loop logs unmarshal errors and continues processing. Production systems should route failed messages to a separate Kafka topic for inspection.

Official References