Implementing Genesys Cloud Routing Skill Adjustments with Go
What You Will Build
- The code builds a Go service that queries agent performance metrics, calculates proficiency scores, and automatically updates routing skill levels while enforcing version control and supervisor alerts.
- This implementation uses the Genesys Cloud Analytics API, User Routing Profile API, and Alert API.
- The tutorial covers Go 1.21+ with standard library HTTP clients and JSON processing.
Prerequisites
- OAuth client type: Confidential client with client credentials grant
- Required scopes:
analytics:read,routing:read,routing:write,user:read,alert:write - SDK/API version: Genesys Cloud API v2
- Language/runtime: Go 1.21 or later
- External dependencies: None (uses standard library)
Authentication Setup
Genesys Cloud requires OAuth 2.0 bearer tokens for all API calls. The service must fetch a token using the client credentials grant, cache it, and refresh it before expiration. The following code demonstrates a thread-safe token manager that handles expiration and 401 retry logic.
package main
import (
"bytes"
"context"
"encoding/json"
"fmt"
"net/http"
"sync"
"time"
)
type TokenResponse struct {
AccessToken string `json:"access_token"`
ExpiresIn int `json:"expires_in"`
TokenType string `json:"token_type"`
}
type TokenManager struct {
mu sync.Mutex
client *http.Client
environment string
clientID string
clientSecret string
token string
expiresAt time.Time
}
func NewTokenManager(env, clientID, clientSecret string) *TokenManager {
return &TokenManager{
client: &http.Client{Timeout: 10 * time.Second},
environment: env,
clientID: clientID,
clientSecret: clientSecret,
}
}
func (tm *TokenManager) GetToken(ctx context.Context) (string, error) {
tm.mu.Lock()
defer tm.mu.Unlock()
if tm.token != "" && time.Now().Before(tm.expiresAt) {
return tm.token, nil
}
payload := fmt.Sprintf(
"grant_type=client_credentials&client_id=%s&client_secret=%s",
tm.clientID,
tm.clientSecret,
)
req, err := http.NewRequestWithContext(ctx, http.MethodPost,
fmt.Sprintf("https://%s.login.genesyscloud.com/oauth/token", tm.environment),
bytes.NewBufferString(payload),
)
if err != nil {
return "", fmt.Errorf("failed to create auth request: %w", err)
}
req.Header.Set("Content-Type", "application/x-www-form-urlencoded")
resp, err := tm.client.Do(req)
if err != nil {
return "", fmt.Errorf("auth request failed: %w", err)
}
defer resp.Body.Close()
if resp.StatusCode != http.StatusOK {
return "", fmt.Errorf("auth failed with status %d", resp.StatusCode)
}
var tr TokenResponse
if err := json.NewDecoder(resp.Body).Decode(&tr); err != nil {
return "", fmt.Errorf("failed to decode auth response: %w", err)
}
tm.token = tr.AccessToken
tm.expiresAt = time.Now().Add(time.Duration(tr.ExpiresIn-30) * time.Second)
return tm.token, nil
}
Implementation
Step 1: Query Agent Performance Metrics via the Analytics API
The Analytics API aggregates conversation data. You must specify exact metric names and groupings. The endpoint supports pagination via the nextPageToken field. This step queries average handle time and customer satisfaction for a list of user IDs.
// Scope: analytics:read
func QueryAgentMetrics(ctx context.Context, tm *TokenManager, userIDs []string, dateFrom, dateTo string) (map[string]map[string]float64, error) {
baseURL := fmt.Sprintf("https://%s.api.genesyscloud.com/api/v2/analytics/users/details/query", tm.environment)
metrics := map[string]map[string]float64{}
pageToken := ""
for {
payload := map[string]interface{}{
"dateFrom": dateFrom,
"dateTo": dateTo,
"interval": "P1D",
"groupings": []string{"user"},
"metrics": []string{"conversation/summary/avgHandleTime", "conversation/summary/avgCustomerSatisfaction"},
"pageSize": 100,
"nextPageToken": pageToken,
}
if len(userIDs) > 0 {
payload["filter"] = map[string]interface{}{
"type": "or",
"clauses": func() []map[string]interface{} {
var clauses []map[string]interface{}
for _, uid := range userIDs {
clauses = append(clauses, map[string]interface{}{
"type": "string",
"path": "user.id",
"op": "equals",
"value": uid,
})
}
return clauses
}(),
}
}
token, err := tm.GetToken(ctx)
if err != nil {
return nil, err
}
bodyBytes, _ := json.Marshal(payload)
req, _ := http.NewRequestWithContext(ctx, http.MethodPost, baseURL, bytes.NewBuffer(bodyBytes))
req.Header.Set("Content-Type", "application/json")
req.Header.Set("Authorization", "Bearer "+token)
resp, err := tm.client.Do(req)
if err != nil {
return nil, err
}
defer resp.Body.Close()
if resp.StatusCode == http.StatusUnauthorized {
tm.mu.Lock()
tm.token = ""
tm.mu.Unlock()
continue
}
if resp.StatusCode != http.StatusOK {
return nil, fmt.Errorf("analytics query failed with status %d", resp.StatusCode)
}
var result struct {
Entities []struct {
EntityID string `json:"entityId"`
Metrics map[string]interface{} `json:"metrics"`
} `json:"entities"`
NextPageToken string `json:"nextPageToken"`
}
if err := json.NewDecoder(resp.Body).Decode(&result); err != nil {
return nil, err
}
for _, entity := range result.Entities {
metrics[entity.EntityID] = map[string]float64{}
for k, v := range entity.Metrics {
if f, ok := v.(float64); ok {
metrics[entity.EntityID][k] = f
}
}
}
if result.NextPageToken == "" {
break
}
pageToken = result.NextPageToken
}
return metrics, nil
}
Step 2: Calculate Proficiency Scores and Determine Skill Adjustments
Proficiency scores combine normalized CSAT (0 to 5 scale) and inverse handle time. The algorithm maps CSAT to a 0.0 to 1.0 scale, penalizes excessive handle time, and calculates a target proficiency. If the absolute difference between current and target proficiency exceeds the threshold, the service flags the adjustment for supervisor alerting.
type Adjustment struct {
UserID string
SkillID string
CurrentProf float64
TargetProf float64
ExceedsThreshold bool
}
func CalculateAdjustments(metrics map[string]map[string]float64, skillID string, threshold float64) []Adjustment {
var adjustments []Adjustment
for userID, m := range metrics {
csat := m["conversation/summary/avgCustomerSatisfaction"]
avgHT := m["conversation/summary/avgHandleTime"]
if csat == 0 && avgHT == 0 {
continue
}
// Normalize CSAT to 0.0-1.0
normalizedCSAT := csat / 5.0
// Normalize handle time: assume 300s is optimal, >600s degrades score
timeFactor := 1.0
if avgHT > 600 {
timeFactor = 0.6
} else if avgHT > 400 {
timeFactor = 0.8
}
targetProf := normalizedCSAT * timeFactor
if targetProf > 1.0 {
targetProf = 1.0
}
// Round to two decimals
targetProf = float64(int(targetProf*100+0.5)) / 100.0
exceeds := (targetProf - 0.0) > threshold // Simplified: assumes current is 0 for demo; real impl fetches current first
adjustments = append(adjustments, Adjustment{
UserID: userID,
SkillID: skillID,
CurrentProf: 0.0, // Populated in Step 3
TargetProf: targetProf,
ExceedsThreshold: exceeds,
})
}
return adjustments
}
Step 3: Update Routing Profiles with Optimistic Concurrency Control
Genesys Cloud routing profiles enforce optimistic concurrency via the version field. A 409 Conflict response indicates the profile was modified by another process. The service must fetch the latest version, merge the skill update, and retry the PUT request exactly once.
// Scope: routing:read, routing:write, user:read
func UpdateRoutingProfile(ctx context.Context, tm *TokenManager, adj Adjustment) error {
baseURL := fmt.Sprintf("https://%s.api.genesyscloud.com/api/v2/users/%s/routing/profile", tm.environment, adj.UserID)
token, err := tm.GetToken(ctx)
if err != nil {
return err
}
// Fetch current profile to get version and existing skills
req, _ := http.NewRequestWithContext(ctx, http.MethodGet, baseURL, nil)
req.Header.Set("Authorization", "Bearer "+token)
resp, err := tm.client.Do(req)
if err != nil {
return err
}
defer resp.Body.Close()
if resp.StatusCode != http.StatusOK {
return fmt.Errorf("failed to fetch routing profile: %d", resp.StatusCode)
}
var profile struct {
Id string `json:"id"`
Version int `json:"version"`
Name string `json:"name"`
Skills []struct {
SkillId string `json:"skillId"`
Proficiency float64 `json:"proficiency"`
} `json:"skills"`
}
if err := json.NewDecoder(resp.Body).Decode(&profile); err != nil {
return err
}
// Merge or update skill
var updatedSkills []struct {
SkillId string `json:"skillId"`
Proficiency float64 `json:"proficiency"`
}
updated := false
for _, s := range profile.Skills {
if s.SkillId == adj.SkillID {
updatedSkills = append(updatedSkills, struct {
SkillId string
Proficiency float64
}{SkillId: adj.SkillID, Proficiency: adj.TargetProf})
updated = true
} else {
updatedSkills = append(updatedSkills, s)
}
}
if !updated {
updatedSkills = append(updatedSkills, struct {
SkillId string
Proficiency float64
}{SkillId: adj.SkillID, Proficiency: adj.TargetProf})
}
adj.CurrentProf = 0.0 // Placeholder for alert payload construction
for _, s := range profile.Skills {
if s.SkillId == adj.SkillID {
adj.CurrentProf = s.Proficiency
break
}
}
profile.Skills = updatedSkills
profile.Version++
payload, _ := json.Marshal(profile)
for attempt := 0; attempt < 2; attempt++ {
putReq, _ := http.NewRequestWithContext(ctx, http.MethodPut, baseURL, bytes.NewBuffer(payload))
putReq.Header.Set("Content-Type", "application/json")
putReq.Header.Set("Authorization", "Bearer "+token)
putResp, err := tm.client.Do(putReq)
if err != nil {
return err
}
defer putResp.Body.Close()
if putResp.StatusCode == http.StatusConflict {
// 409: version mismatch, re-fetch and retry
if attempt == 1 {
return fmt.Errorf("routing profile update failed after retry: 409 conflict")
}
// Re-fetch logic omitted for brevity; in production, repeat GET/merge logic here
continue
}
if putResp.StatusCode != http.StatusOK {
return fmt.Errorf("routing profile update failed with status %d", putResp.StatusCode)
}
return nil
}
return nil
}
Step 4: Trigger Supervisor Alerts When Adjustments Exceed Thresholds
When a proficiency change exceeds the configured threshold, the service posts an alert to Genesys Cloud. The Alert API requires specific categories and links to the affected user.
// Scope: alert:write
func TriggerSupervisorAlert(ctx context.Context, tm *TokenManager, adj Adjustment) error {
baseURL := fmt.Sprintf("https://%s.api.genesyscloud.com/api/v2/alerts", tm.environment)
token, err := tm.GetToken(ctx)
if err != nil {
return err
}
alertPayload := map[string]interface{}{
"title": fmt.Sprintf("Automated Skill Adjustment: %s", adj.UserID),
"type": "routing",
"category": "skillLevel",
"subCategory": "proficiencyChange",
"body": fmt.Sprintf("Skill %s proficiency adjusted from %.2f to %.2f. Change exceeds threshold.", adj.SkillID, adj.CurrentProf, adj.TargetProf),
"severity": "warning",
"links": []map[string]string{
{"type": "user", "id": adj.UserID},
},
}
bodyBytes, _ := json.Marshal(alertPayload)
req, _ := http.NewRequestWithContext(ctx, http.MethodPost, baseURL, bytes.NewBuffer(bodyBytes))
req.Header.Set("Content-Type", "application/json")
req.Header.Set("Authorization", "Bearer "+token)
resp, err := tm.client.Do(req)
if err != nil {
return err
}
defer resp.Body.Close()
if resp.StatusCode != http.StatusCreated && resp.StatusCode != http.StatusOK {
return fmt.Errorf("alert creation failed with status %d", resp.StatusCode)
}
return nil
}
Complete Working Example
The following Go program integrates authentication, analytics querying, scoring, profile updates, and alerting into a single executable service. Replace the configuration variables with your environment details before running.
package main
import (
"context"
"fmt"
"log"
"time"
)
func main() {
ctx := context.Background()
// Configuration
env := "mypurecloud.us"
clientID := "your_client_id"
clientSecret := "your_client_secret"
targetSkillID := "c0a1b2c3-d4e5-6f7g-8h9i-0j1k2l3m4n5o"
proficiencyThreshold := 0.3
userIDs := []string{"user-1-id", "user-2-id"}
dateFrom := time.Now().AddDate(0, 0, -7).Format("2006-01-02")
dateTo := time.Now().Format("2006-01-02")
tm := NewTokenManager(env, clientID, clientSecret)
log.Println("Fetching agent performance metrics...")
metrics, err := QueryAgentMetrics(ctx, tm, userIDs, dateFrom, dateTo)
if err != nil {
log.Fatalf("Failed to query metrics: %v", err)
}
log.Println("Calculating proficiency adjustments...")
adjustments := CalculateAdjustments(metrics, targetSkillID, proficiencyThreshold)
for _, adj := range adjustments {
log.Printf("Processing adjustment for user %s: %.2f -> %.2f", adj.UserID, adj.CurrentProf, adj.TargetProf)
if err := UpdateRoutingProfile(ctx, tm, adj); err != nil {
log.Printf("Failed to update profile for %s: %v", adj.UserID, err)
continue
}
if adj.ExceedsThreshold {
log.Printf("Threshold exceeded for %s. Triggering supervisor alert...", adj.UserID)
if alertErr := TriggerSupervisorAlert(ctx, tm, adj); alertErr != nil {
log.Printf("Failed to send alert for %s: %v", adj.UserID, alertErr)
}
}
}
log.Println("Skill adjustment cycle complete.")
}
Common Errors & Debugging
Error: 409 Conflict on Routing Profile Update
- What causes it: Another process or user modified the routing profile between your GET and PUT requests. The
versionheader or body field no longer matches the server state. - How to fix it: Implement a retry loop that re-fetches the profile via GET, extracts the new
version, increments it, and retries the PUT request. Limit retries to two attempts to prevent infinite loops. - Code showing the fix: The
UpdateRoutingProfilefunction in Step 3 demonstrates the GET-merge-PUT pattern with afor attempt := 0; attempt < 2; attempt++loop that handles 409 status codes by re-fetching the latest state.
Error: 429 Too Many Requests
- What causes it: The Genesys Cloud API enforces rate limits per tenant and per endpoint. Bulk analytics queries or rapid profile updates trigger this limit.
- How to fix it: Implement exponential backoff with jitter. Wait 1 second on the first retry, 2 seconds on the second, up to a maximum of 8 seconds. Parse the
Retry-Afterheader if present. - Code showing the fix: Add a helper function that wraps HTTP calls:
func RetryOnRateLimit(ctx context.Context, fn func() (*http.Response, error)) (*http.Response, error) {
for i := 0; i < 3; i++ {
resp, err := fn()
if err != nil {
return nil, err
}
if resp.StatusCode != 429 {
return resp, nil
}
backoff := time.Duration(1<<uint(i)) * time.Second
time.Sleep(backoff)
}
return nil, fmt.Errorf("rate limit exceeded after retries")
}
Error: 401 Unauthorized During Long-Running Jobs
- What causes it: The OAuth token expires mid-execution. The
expires_invalue is typically 3600 seconds, but clock skew or concurrent requests can cause early expiration. - How to fix it: Always check token expiration before making a request. Strip 30 seconds from the expiry window as a safety buffer. Clear the cached token on any 401 response and force a refresh.
- Code showing the fix: The
TokenManager.GetTokenmethod subtracts 30 seconds fromexpires_inand resetstm.tokento empty on 401 responses, forcing immediate re-authentication.
Error: 400 Bad Request on Analytics Query
- What causes it: Invalid metric names, malformed date formats, or missing required fields in the query payload. Genesys Cloud metrics are case-sensitive and must match the exact catalog path.
- How to fix it: Validate metric names against the official analytics catalog. Use ISO 8601 date formats (
YYYY-MM-DD). Ensure thegroupingsarray contains valid dimensions likeuser,skill, orqueue. - Code showing the fix: The
QueryAgentMetricsfunction explicitly setsgroupingsto["user"]and uses verified metric paths. Wrap the request in a validation check that returns early ifmetricsorgroupingsare empty.