Detecting Genesys Cloud Agent Assist Skill Gaps with Go

What You Will Build

• This tutorial builds a Go service that submits Agent Assist analysis cases, compares returned topic confidence scores against an agent skill matrix, and flags skill gaps when thresholds are breached.
• The implementation uses the Genesys Cloud CX REST API and platform-client-sdk-go for case submission, skill validation, webhook orchestration, and audit logging.
• The code is written in Go 1.21+ with production-ready error handling, 429 retry logic, schema validation, and external LMS synchronization.

Prerequisites

• OAuth Client Credentials grant with scopes: agentassist:case:write, user:read, skill:read, webhook:write, conversation:read
• Genesys Cloud API v2
• Go 1.21+
• github.com/mypurecloud/platform-client-sdk-go/v115/platformclientv2
• github.com/go-resty/resty/v2
• github.com/sirupsen/logrus
• github.com/gofrs/uuid

Authentication Setup

The Genesys Cloud Go SDK handles token acquisition and refresh automatically when configured. You must set the client ID, client secret, and environment base URL before making any API calls. The SDK caches the access token and refreshes it transparently upon 401 responses.

package main

import (
    "context"
    "github.com/mypurecloud/platform-client-sdk-go/v115/platformclientv2"
)

func configureGenesysSDK(clientID, clientSecret, envURL string) error {
    // Configure OAuth client credentials flow
    if err := platformclientv2.ConfigureOAuth(clientID, clientSecret, envURL+"/oauth/token"); err != nil {
        return err
    }

    // Set retry configuration for 429 rate limiting
    retryConfig := &platformclientv2.RetryConfig{
        RetryEnabled:   true,
        RetryMax:       5,
        RetryInterval:  1.0,
        RetryBackoff:   2.0,
        RetryOn429:     true,
    }
    platformclientv2.SetRetryConfig(retryConfig)

    // Verify authentication by fetching the current user
    authAPI := platformclientv2.NewAuthenticationApi()
    _, _, err := authAPI.PostOauthToken(context.Background(), clientID, clientSecret, "client_credentials")
    return err
}

The ConfigureOAuth call establishes the token endpoint. The SetRetryConfig method ensures the SDK automatically backs off and retries when Genesys Cloud returns a 429 Too Many Requests response. This prevents cascade failures during high-throughput gap detection runs.

Implementation

Step 1: Fetch Skill Matrix and Agent Profile

You must retrieve the agent’s current skill assignments before analyzing conversation data. The /api/v2/users/{userId}/skills endpoint returns the active skill matrix. You will validate that the agent has the required skills before proceeding.

package main

import (
    "context"
    "fmt"
    "github.com/mypurecloud/platform-client-sdk-go/v115/platformclientv2"
)

type SkillMatrix struct {
    AgentID   string
    Skills    map[string]float64 // SkillName -> Proficiency (0.0-1.0)
}

func fetchSkillMatrix(userID string) (*SkillMatrix, error) {
    userAPI := platformclientv2.NewUserApi()
    skillsAPI := platformclientv2.NewSkillApi()

    // Validate user exists
    userResp, _, err := userAPI.GetUser(context.Background(), userID, nil)
    if err != nil {
        return nil, fmt.Errorf("failed to fetch user: %w", err)
    }

    // Fetch assigned skills
    skillsResp, _, err := skillsAPI.GetUserSkills(context.Background(), userID, nil)
    if err != nil {
        return nil, fmt.Errorf("failed to fetch skills: %w", err)
    }

    matrix := &SkillMatrix{
        AgentID: userResp.Id,
        Skills:  make(map[string]float64),
    }

    for _, skill := range skillsResp.Skills {
        proficiency := 0.5 // Default baseline
        if skill.Proficiency != nil {
            proficiency = *skill.Proficiency
        }
        matrix.Skills[*skill.Name] = proficiency
    }

    return matrix, nil
}

The UserApi and SkillApi clients handle pagination automatically when query parameters are provided. For skill gap detection, you only need the direct assignment list. The proficiency values are normalized to a 0.0 to 1.0 scale to match Genesys Cloud’s internal evaluation metrics.

Step 2: Construct and Submit Agent Assist Case Payload

Genesys Cloud Agent Assist accepts analysis requests via POST /api/v2/agentassist/cases. You must construct a payload that includes the conversation reference, analysis window limit, gap reference tags, and flag directives. The API enforces a maximum analysis window of 3600 seconds.

package main

import (
    "context"
    "fmt"
    "time"
    "github.com/mypurecloud/platform-client-sdk-go/v115/platformclientv2"
)

type GapDetectionPayload struct {
    ConversationID   string   `json:"conversationId"`
    AgentID          string   `json:"agentId"`
    AnalysisWindow   int64    `json:"analysisWindow"`
    GapReference     []string `json:"gapReference"`
    FlagDirective    string   `json:"flagDirective"`
    ConfidenceThreshold float64 `json:"confidenceThreshold"`
}

func validatePayload(p *GapDetectionPayload) error {
    if p.AnalysisWindow < 1 || p.AnalysisWindow > 3600 {
        return fmt.Errorf("analysis window must be between 1 and 3600 seconds")
    }
    if p.ConfidenceThreshold < 0.0 || p.ConfidenceThreshold > 1.0 {
        return fmt.Errorf("confidence threshold must be between 0.0 and 1.0")
    }
    if len(p.GapReference) == 0 {
        return fmt.Errorf("gap reference array cannot be empty")
    }
    return nil
}

func submitAgentAssistCase(payload *GapDetectionPayload) (*platformclientv2.Agentassistcase, error) {
    if err := validatePayload(payload); err != nil {
        return nil, err
    }

    agentassistAPI := platformclientv2.NewAgentassistApi()

    // Map custom payload to SDK struct
    caseBody := &platformclientv2.Agentassistcase{
        ConversationId: platformclientv2.String(payload.ConversationID),
        AgentId:        platformclientv2.String(payload.AgentID),
        CaseType:       platformclientv2.String("agentassist"),
        AnalysisWindow: platformclientv2.Int64(payload.AnalysisWindow),
        Topics:         payload.GapReference,
        Metadata: map[string]interface{}{
            "flagDirective":    payload.FlagDirective,
            "confidenceThreshold": payload.ConfidenceThreshold,
        },
    }

    caseResp, _, err := agentassistAPI.PostAgentassistCases(context.Background(), caseBody)
    if err != nil {
        return nil, fmt.Errorf("failed to submit agent assist case: %w", err)
    }

    return caseResp, nil
}

The validatePayload function enforces schema constraints before transmission. The analysisWindow limit prevents Genesys Cloud from rejecting long-running queries. The gapReference array maps directly to the Topics field in the SDK, which tells the engine which domains to evaluate. The flagDirective and confidenceThreshold are stored in Metadata for downstream processing.

Step 3: Evaluate Confidence Threshold and Topic Coverage

After submission, you poll the case status until completion. The response contains topic confidence scores. You compare these scores against the agent’s skill matrix and the defined threshold to identify gaps.

package main

import (
    "context"
    "fmt"
    "time"
    "github.com/mypurecloud/platform-client-sdk-go/v115/platformclientv2"
)

type GapResult struct {
    Topic        string
    Confidence   float64
    AgentSkill   float64
    IsGap        bool
    GapSeverity  string
}

func evaluateGaps(caseID string, matrix *SkillMatrix, threshold float64) ([]GapResult, error) {
    agentassistAPI := platformclientv2.NewAgentassistApi()
    var results []GapResult

    // Poll until case completes (max 60 seconds)
    for i := 0; i < 12; i++ {
        caseResp, _, err := agentassistAPI.GetAgentassistCase(context.Background(), caseID)
        if err != nil {
            return nil, fmt.Errorf("failed to fetch case status: %w", err)
        }

        if *caseResp.Status == "completed" {
            break
        }
        time.Sleep(5 * time.Second)
    }

    caseResp, _, err := agentassistAPI.GetAgentassistCase(context.Background(), caseID)
    if err != nil {
        return nil, fmt.Errorf("case retrieval failed: %w", err)
    }

    if *caseResp.Status != "completed" {
        return nil, fmt.Errorf("case did not complete within timeout")
    }

    // Process topic confidence scores
    for _, suggestion := range caseResp.Suggestions {
        if suggestion.Topic == nil || suggestion.Confidence == nil {
            continue
        }

        topic := *suggestion.Topic
        confidence := *suggestion.Confidence
        agentSkill := 0.0
        if skill, ok := matrix.Skills[topic]; ok {
            agentSkill = skill
        }

        isGap := confidence < threshold || agentSkill < threshold
        severity := "low"
        if confidence < threshold*0.7 {
            severity = "critical"
        } else if confidence < threshold {
            severity = "moderate"
        }

        results = append(results, GapResult{
            Topic:       topic,
            Confidence:  confidence,
            AgentSkill:  agentSkill,
            IsGap:       isGap,
            GapSeverity: severity,
        })
    }

    return results, nil
}

The polling loop respects Genesys Cloud’s asynchronous processing model. The evaluation logic compares confidence against the threshold and cross-references the agentSkill proficiency. Gaps are flagged when either value falls below the threshold. Severity classification determines downstream alert routing.

Step 4: Trigger Coaching Alerts and LMS Webhook Sync

When gaps are detected, you must synchronize events with an external Learning Management System. You will construct a webhook payload and POST it to the LMS endpoint. You will also log the event for audit compliance.

package main

import (
    "context"
    "encoding/json"
    "fmt"
    "time"
    "github.com/go-resty/resty/v2"
    "github.com/sirupsen/logrus"
    "github.com/gofrs/uuid"
)

type LMSWebhookPayload struct {
    EventID      string    `json:"eventId"`
    AgentID      string    `json:"agentId"`
    Timestamp    time.Time `json:"timestamp"`
    GapTopics    []string  `json:"gapTopics"`
    Severity     string    `json:"severity"`
    Source       string    `json:"source"`
}

func triggerLMSWebhook(lmsURL string, agentID string, gaps []GapResult, logger *logrus.Logger) error {
    if len(gaps) == 0 {
        return nil
    }

    gapTopics := make([]string, 0, len(gaps))
    maxSeverity := "low"
    for _, g := range gaps {
        if g.IsGap {
            gapTopics = append(gapTopics, g.Topic)
            if g.GapSeverity == "critical" {
                maxSeverity = "critical"
            } else if g.GapSeverity == "moderate" && maxSeverity != "critical" {
                maxSeverity = "moderate"
            }
        }
    }

    eventID, _ := uuid.NewV4()
    payload := &LMSWebhookPayload{
        EventID:   eventID.String(),
        AgentID:   agentID,
        Timestamp: time.Now().UTC(),
        GapTopics: gapTopics,
        Severity:  maxSeverity,
        Source:    "genesys-agentassist-gap-detector",
    }

    body, _ := json.Marshal(payload)

    client := resty.New()
    client.SetTimeout(10 * time.Second)
    client.SetRetryCount(3)
    client.SetRetryWaitTime(2 * time.Second)

    resp, err := client.R().
        SetHeader("Content-Type", "application/json").
        SetBody(body).
        Post(lmsURL)

    if err != nil {
        logger.WithError(err).Error("LMS webhook delivery failed")
        return fmt.Errorf("webhook delivery failed: %w", err)
    }

    if resp.StatusCode() >= 400 {
        logger.WithFields(logrus.Fields{
            "status": resp.StatusCode(),
            "body":   string(resp.Body()),
        }).Error("LMS webhook returned error")
        return fmt.Errorf("LMS returned %d", resp.StatusCode())
    }

    logger.WithFields(logrus.Fields{
        "eventId": eventID.String(),
        "agentId": agentID,
        "gaps":    len(gapTopics),
        "severity": maxSeverity,
    }).Info("LMS coaching alert triggered")

    return nil
}

The resty client handles retries for transient network failures. The payload includes a UUID event ID for idempotency and audit tracing. The severity field determines whether the LMS creates a mandatory training module or a suggested reading assignment.

Step 5: Track Latency, Success Rates, and Audit Logs

You must record execution metrics to monitor detector efficiency. You will calculate request latency, flag success rates, and write structured audit logs to stdout or a file sink.

package main

import (
    "fmt"
    "time"
    "github.com/sirupsen/logrus"
)

type DetectionMetrics struct {
    TotalRuns      int     `json:"totalRuns"`
    SuccessfulRuns int     `json:"successfulRuns"`
    AvgLatencyMs   float64 `json:"avgLatencyMs"`
    TotalLatencyMs float64 `json:"totalLatencyMs"`
}

func (m *DetectionMetrics) RecordRun(success bool, latency time.Duration) {
    m.TotalRuns++
    if success {
        m.SuccessfulRuns++
    }
    m.TotalLatencyMs += float64(latency.Milliseconds())
    m.AvgLatencyMs = m.TotalLatencyMs / float64(m.TotalRuns)
}

func writeAuditLog(logger *logrus.Logger, metrics *DetectionMetrics, gaps []GapResult) {
    auditEntry := map[string]interface{}{
        "timestamp":      time.Now().UTC().Format(time.RFC3339),
        "metrics":        metrics,
        "gapsDetected":   len(gaps),
        "gapDetails":     gaps,
        "complianceTag":  "skill-gap-audit-v1",
    }

    logger.WithField("audit", auditEntry).Info("Gap detection cycle completed")
}

The DetectionMetrics struct accumulates run data across executions. The writeAuditLog function serializes the full detection cycle into a structured JSON object. This satisfies quality governance requirements and enables downstream BI reporting.

Complete Working Example

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

package main

import (
    "context"
    "fmt"
    "os"
    "time"
    "github.com/mypurecloud/platform-client-sdk-go/v115/platformclientv2"
    "github.com/sirupsen/logrus"
)

func main() {
    // Configure logger
    logger := logrus.New()
    logger.SetFormatter(&logrus.JSONFormatter{})
    logger.SetOutput(os.Stdout)
    logger.SetLevel(logrus.InfoLevel)

    // Configuration
    clientID := os.Getenv("GENESYS_CLIENT_ID")
    clientSecret := os.Getenv("GENESYS_CLIENT_SECRET")
    envURL := os.Getenv("GENESYS_ENV_URL")
    agentID := os.Getenv("TARGET_AGENT_ID")
    conversationID := os.Getenv("TARGET_CONVERSATION_ID")
    lmsWebhookURL := os.Getenv("LMS_WEBHOOK_URL")

    if clientID == "" || clientSecret == "" || envURL == "" || agentID == "" {
        logger.Fatal("Missing required environment variables")
    }

    // Initialize SDK
    if err := configureGenesysSDK(clientID, clientSecret, envURL); err != nil {
        logger.WithError(err).Fatal("SDK initialization failed")
    }

    metrics := &DetectionMetrics{}
    startTime := time.Now()

    // Step 1: Fetch skill matrix
    matrix, err := fetchSkillMatrix(agentID)
    if err != nil {
        logger.WithError(err).Error("Skill matrix fetch failed")
        metrics.RecordRun(false, time.Since(startTime))
        writeAuditLog(logger, metrics, nil)
        return
    }

    // Step 2: Construct payload
    payload := &GapDetectionPayload{
        ConversationID:      conversationID,
        AgentID:             agentID,
        AnalysisWindow:      300,
        GapReference:        []string{"billing_inquiry", "refund_policy", "technical_troubleshooting"},
        FlagDirective:       "auto_assign_training",
        ConfidenceThreshold: 0.75,
    }

    // Step 3: Submit case
    caseResp, err := submitAgentAssistCase(payload)
    if err != nil {
        logger.WithError(err).Error("Case submission failed")
        metrics.RecordRun(false, time.Since(startTime))
        writeAuditLog(logger, metrics, nil)
        return
    }

    // Step 4: Evaluate gaps
    gaps, err := evaluateGaps(*caseResp.Id, matrix, payload.ConfidenceThreshold)
    if err != nil {
        logger.WithError(err).Error("Gap evaluation failed")
        metrics.RecordRun(false, time.Since(startTime))
        writeAuditLog(logger, metrics, nil)
        return
    }

    // Step 5: Trigger LMS sync if gaps exist
    if err := triggerLMSWebhook(lmsWebhookURL, agentID, gaps, logger); err != nil {
        logger.WithError(err).Error("LMS sync failed")
        metrics.RecordRun(false, time.Since(startTime))
        writeAuditLog(logger, metrics, gaps)
        return
    }

    // Step 6: Record success and audit
    metrics.RecordRun(true, time.Since(startTime))
    writeAuditLog(logger, metrics, gaps)
    logger.Info("Gap detection cycle completed successfully")
}

This file orchestrates the full detection pipeline. It validates inputs, submits the analysis case, evaluates results, synchronizes with the LMS, and records audit metrics. The service is designed for cron execution or Kubernetes Job scheduling.

Common Errors & Debugging

Error: 401 Unauthorized

• Cause: OAuth token expired or client credentials are invalid.
• Fix: Verify GENESYS_CLIENT_ID and GENESYS_CLIENT_SECRET match a configured client in Genesys Cloud Admin. Ensure the client has agentassist:case:write and user:read scopes assigned. The SDK will automatically refresh tokens, but initial configuration must be correct.

Error: 403 Forbidden

• Cause: The OAuth client lacks required scopes or the target user is not visible to the client.
• Fix: Assign agentassist:case:write, user:read, skill:read, and webhook:write to the OAuth client. Verify the target agent ID belongs to the same organization environment.

Error: 429 Too Many Requests

• Cause: Rate limit exceeded during case submission or polling.
• Fix: The SDK retry configuration handles exponential backoff. If failures persist, reduce polling frequency or stagger multiple agent runs. Monitor the Retry-After header in raw responses.

Error: 400 Bad Request (Invalid Analysis Window)

• Cause: analysisWindow exceeds 3600 seconds or falls below 1.
• Fix: The validatePayload function enforces this constraint. Ensure your configuration does not override the limit. Genesys Cloud rejects windows longer than 60 minutes to prevent resource exhaustion.

Error: LMS Webhook Timeout

• Cause: External learning management system is unreachable or processing slowly.
• Fix: Increase the resty client timeout. Implement a message queue for asynchronous LMS delivery in production. The webhook payload includes an eventId for deduplication if retries occur.

Official References

• Agent Assist API Documentation
• User Skills API Documentation
• OAuth 2.0 Client Credentials Flow
• Go SDK Reference
• Rate Limiting and Retry Guidelines