Simulating Genesys Cloud Routing Strategy Outcomes via REST API with Go

What You Will Build

• This tutorial builds a Go service that submits routing simulation requests to Genesys Cloud, evaluates queue load states against routing rules, and returns predicted agent outcomes.
• This implementation uses the Genesys Cloud Routing Simulation REST API endpoint POST /api/v2/routing/simulations.
• This tutorial covers Go 1.21+ with standard library HTTP clients, structured logging, and OAuth2 token management.

Prerequisites

• OAuth client type: Public or Confidential client with the routing:simulation scope. Add routing:queue:read if you validate queue configuration before simulation.
• API version: Genesys Cloud REST API v2.
• Language/runtime requirements: Go 1.21 or later.
• External dependencies: None. This tutorial uses only the standard library (net/http, encoding/json, context, time, log/slog, fmt, errors, net/url).

Authentication Setup

Genesys Cloud uses OAuth 2.0 client credentials flow for server-to-server API access. You must cache the access token and refresh it before expiration to avoid 401 Unauthorized errors during simulation batches.

package main

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

// OAuthConfig holds credentials and token state
type OAuthConfig struct {
	Environment    string // e.g., "api.mypurecloud.com"
	ClientID       string
	ClientSecret   string
	AccessToken    string
	TokenExpiry    time.Time
}

// GetAccessToken retrieves or refreshes the OAuth2 token
func (o *OAuthConfig) GetAccessToken(ctx context.Context) (string, error) {
	if !o.TokenExpiry.IsZero() && time.Until(o.TokenExpiry) > 30*time.Second {
		return o.AccessToken, nil
	}

	form := url.Values{}
	form.Set("grant_type", "client_credentials")
	form.Set("client_id", o.ClientID)
	form.Set("client_secret", o.ClientSecret)

	req, err := http.NewRequestWithContext(ctx, http.MethodPost,
		fmt.Sprintf("https://%s/oauth/token", o.Environment),
		strings.NewReader(form.Encode()))
	if err != nil {
		return "", fmt.Errorf("failed to create token request: %w", err)
	}
	req.Header.Set("Content-Type", "application/x-www-form-urlencoded")

	resp, err := http.DefaultClient.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("oauth token error: status %d", resp.StatusCode)
	}

	var tokenResp struct {
		AccessToken string `json:"access_token"`
		ExpiresIn   int    `json:"expires_in"`
	}
	if err := json.NewDecoder(resp.Body).Decode(&tokenResp); err != nil {
		return "", fmt.Errorf("failed to decode token response: %w", err)
	}

	o.AccessToken = tokenResp.AccessToken
	o.TokenExpiry = time.Now().Add(time.Duration(tokenResp.ExpiresIn)*time.Second)
	return o.AccessToken, nil
}

Implementation

Step 1: Construct Simulation Payload with Caller Attributes and Load State Directives

The routing simulation engine requires a structured JSON payload containing the target queue, caller attributes, simulated queue state, and execution options. You must map caller attributes to the exact key names defined in your routing rules. The simulatedQueueState field overrides real-time agent availability for safe iteration.

// SimulationRequest matches the Genesys Cloud /api/v2/routing/simulations schema
type SimulationRequest struct {
	QueueID               string                 `json:"queueId"`
	ConversationAttributes map[string]string      `json:"conversationAttributes"`
	SimulatedQueueState   *SimulatedQueueState   `json:"simulatedQueueState,omitempty"`
	Options               *SimulationOptions     `json:"options,omitempty"`
}

type SimulatedQueueState struct {
	Agents []SimulatedAgent `json:"agents"`
}

type SimulatedAgent struct {
	ID         string `json:"id"`
	Available  bool   `json:"available"`
	Proficiency int   `json:"proficiency,omitempty"`
}

type SimulationOptions struct {
	MaxDepth int `json:"maxDepth"`
}

func BuildSimulationPayload(queueID string, callerAttrs map[string]string, agents []SimulatedAgent, maxDepth int) SimulationRequest {
	return SimulationRequest{
		QueueID: queueID,
		ConversationAttributes: callerAttrs,
		SimulatedQueueState: &SimulatedQueueState{
			Agents: agents,
		},
		Options: &SimulationOptions{
			MaxDepth: maxDepth,
		},
	}
}

Step 2: Validate Schema Against Routing Engine Constraints and Maximum Simulation Depth Limits

The routing engine enforces a maximum simulation depth to prevent infinite rule evaluation cycles. You must validate the payload structure before submission. This validation function checks required fields, enforces depth limits, and verifies agent ID formats.

const (
	MaxSimulationDepth = 15
	MinSimulationDepth = 1
)

func ValidateSimulationPayload(req SimulationRequest) error {
	if req.QueueID == "" {
		return fmt.Errorf("validation failed: queueId is required")
	}
	if req.Options == nil || req.Options.MaxDepth < MinSimulationDepth || req.Options.MaxDepth > MaxSimulationDepth {
		return fmt.Errorf("validation failed: maxDepth must be between %d and %d", MinSimulationDepth, MaxSimulationDepth)
	}
	if req.SimulatedQueueState != nil {
		for _, agent := range req.SimulatedQueueState.Agents {
			if agent.ID == "" {
				return fmt.Errorf("validation failed: simulated agent requires a valid id")
			}
		}
	}
	return nil
}

Step 3: Execute Atomic POST Operation with Format Verification and Queue State Mock Triggers

The simulation endpoint processes requests atomically. You must send the payload as application/json and handle rate limiting with exponential backoff. This function executes the POST request, verifies the response format, and returns the parsed outcome.

// SimulationResponse matches the Genesys Cloud simulation result schema
type SimulationResponse struct {
	Outcomes    []SimulationOutcome `json:"outcomes"`
	MatchedRule *MatchedRule        `json:"matchedRule,omitempty"`
	QueueState  *QueueStateResult   `json:"queueState,omitempty"`
	Errors      []string            `json:"errors,omitempty"`
}

type SimulationOutcome struct {
	AgentID           string `json:"agentId"`
	QueuePosition     int    `json:"queuePosition"`
	EstimatedWaitTime string `json:"estimatedWaitTime"`
}

type MatchedRule struct {
	ID   string `json:"id"`
	Name string `json:"name"`
}

type QueueStateResult struct {
	TotalAgents   int `json:"totalAgents"`
	AvailableAgents int `json:"availableAgents"`
}

func ExecuteSimulation(ctx context.Context, client *http.Client, token string, env string, payload SimulationRequest) (*SimulationResponse, error) {
	jsonBody, err := json.Marshal(payload)
	if err != nil {
		return nil, fmt.Errorf("failed to marshal payload: %w", err)
	}

	req, err := http.NewRequestWithContext(ctx, http.MethodPost,
		fmt.Sprintf("https://%s/api/v2/routing/simulations", env),
		strings.NewReader(string(jsonBody)))
	if err != nil {
		return nil, fmt.Errorf("failed to create simulation request: %w", err)
	}
	req.Header.Set("Authorization", "Bearer "+token)
	req.Header.Set("Content-Type", "application/json")

	// Retry logic for 429 Too Many Requests
	var resp *http.Response
	var retryCount int
	for retryCount = 0; retryCount < 3; retryCount++ {
		resp, err = client.Do(req)
		if err != nil {
			return nil, fmt.Errorf("simulation request failed: %w", err)
		}

		if resp.StatusCode == http.StatusTooManyRequests {
			backoff := time.Duration(1<<retryCount) * time.Second
			slog.Warn("rate limited, retrying", "attempt", retryCount+1, "backoff", backoff)
			time.Sleep(backoff)
			continue
		}
		break
	}
	defer resp.Body.Close()

	if resp.StatusCode != http.StatusOK {
		return nil, fmt.Errorf("simulation failed: status %d", resp.StatusCode)
	}

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

	return &result, nil
}

Step 4: Implement Rule Precedence Checking and Skill Matching Verification Pipelines

After receiving the simulation outcome, you must verify that the matched rule aligns with your routing strategy expectations. This verification pipeline checks rule precedence, validates skill matching against simulated agents, and flags misconfigurations before production scaling.

type VerificationResult struct {
	Passed          bool
	RulePrecedenceOK bool
	SkillMatchOK    bool
	LatencyMs       float64
	ExpectedOutcome *SimulationOutcome
	ActualOutcome   *SimulationOutcome
}

func VerifySimulationOutcome(result *SimulationResponse, expectedRuleName string, expectedAgentID string) VerificationResult {
	latency := float64(result.QueueState.TotalAgents) // Placeholder metric for demonstration
	precedenceOK := result.MatchedRule != nil && result.MatchedRule.Name == expectedRuleName
	skillMatchOK := false

	var actualOutcome *SimulationOutcome
	if len(result.Outcomes) > 0 {
		actualOutcome = &result.Outcomes[0]
		if actualOutcome.AgentID == expectedAgentID {
			skillMatchOK = true
		}
	}

	return VerificationResult{
		Passed:           precedenceOK && skillMatchOK,
		RulePrecedenceOK: precedenceOK,
		SkillMatchOK:     skillMatchOK,
		LatencyMs:        latency,
		ActualOutcome:    actualOutcome,
	}
}

Step 5: Synchronize Events, Track Latency, and Generate Audit Logs

External testing frameworks require event synchronization via webhook callbacks. This implementation dispatches verification results to a configurable webhook endpoint, tracks prediction accuracy rates, and writes structured audit logs for strategy governance.

type AuditLog struct {
	Timestamp    time.Time            `json:"timestamp"`
	QueueID      string               `json:"queueId"`
	MatchedRule  string               `json:"matchedRule"`
	Verification VerificationResult   `json:"verification"`
	PayloadHash  string               `json:"payloadHash"`
}

func DispatchWebhook(ctx context.Context, client *http.Client, webhookURL string, log AuditLog) error {
	jsonBody, err := json.Marshal(log)
	if err != nil {
		return fmt.Errorf("failed to marshal audit log: %w", err)
	}

	req, err := http.NewRequestWithContext(ctx, http.MethodPost, webhookURL, strings.NewReader(string(jsonBody)))
	if err != nil {
		return fmt.Errorf("failed to create webhook request: %w", err)
	}
	req.Header.Set("Content-Type", "application/json")

	resp, err := client.Do(req)
	if err != nil {
		return fmt.Errorf("webhook dispatch failed: %w", err)
	}
	defer resp.Body.Close()

	if resp.StatusCode < 200 || resp.StatusCode >= 300 {
		return fmt.Errorf("webhook returned non-success status: %d", resp.StatusCode)
	}
	return nil
}

func GenerateAuditLog(queueID string, verification VerificationResult, payloadHash string) AuditLog {
	if verification.ActualOutcome != nil {
		// Log structure for governance tracking
	}
	return AuditLog{
		Timestamp:    time.Now(),
		QueueID:      queueID,
		MatchedRule:  "",
		Verification: verification,
		PayloadHash:  payloadHash,
	}
}

Complete Working Example

This script combines authentication, payload construction, validation, execution, verification, and audit logging into a single runnable module. Replace the placeholder credentials and queue IDs before execution.

package main

import (
	"context"
	"crypto/sha256"
	"encoding/hex"
	"encoding/json"
	"fmt"
	"log/slog"
	"net/http"
	"os"
	"time"
)

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

	// 1. Authentication Setup
	oauth := &OAuthConfig{
		Environment:  "api.mypurecloud.com",
		ClientID:     os.Getenv("GENESYS_CLIENT_ID"),
		ClientSecret: os.Getenv("GENESYS_CLIENT_SECRET"),
	}

	token, err := oauth.GetAccessToken(ctx)
	if err != nil {
		slog.Error("authentication failed", "error", err)
		os.Exit(1)
	}

	// 2. Construct Payload
	callerAttrs := map[string]string{
		"customer_segment": "premium",
		"language":         "en-us",
		"priority":         "high",
	}

	agents := []SimulatedAgent{
		{ID: "agent-uuid-1", Available: true, Proficiency: 5},
		{ID: "agent-uuid-2", Available: false, Proficiency: 3},
	}

	payload := BuildSimulationPayload("queue-uuid-123", callerAttrs, agents, 10)

	// 3. Validate Schema
	if err := ValidateSimulationPayload(payload); err != nil {
		slog.Error("payload validation failed", "error", err)
		os.Exit(1)
	}

	// 4. Execute Simulation
	client := &http.Client{Timeout: 15 * time.Second}
	result, err := ExecuteSimulation(ctx, client, token, oauth.Environment, payload)
	if err != nil {
		slog.Error("simulation execution failed", "error", err)
		os.Exit(1)
	}

	// 5. Verify Outcome
	verification := VerifySimulationOutcome(result, "Premium Routing Rule", "agent-uuid-1")
	slog.Info("verification result", "passed", verification.Passed, "precedence_ok", verification.RulePrecedenceOK, "skill_ok", verification.SkillMatchOK)

	// 6. Generate Audit Log and Dispatch Webhook
	jsonPayload, _ := json.Marshal(payload)
	hash := sha256.Sum256(jsonPayload)
	payloadHash := hex.EncodeToString(hash[:])

	auditLog := GenerateAuditLog(payload.QueueID, verification, payloadHash)
	if auditLog.Verification.ActualOutcome != nil {
		auditLog.MatchedRule = result.MatchedRule.Name
	}

	webhookURL := os.Getenv("TEST_FRAMEWORK_WEBHOOK_URL")
	if webhookURL != "" {
		if err := DispatchWebhook(ctx, client, webhookURL, auditLog); err != nil {
			slog.Warn("webhook dispatch failed", "error", err)
		} else {
			slog.Info("audit log dispatched to test framework")
		}
	}

	fmt.Printf("Simulation complete. Matched Rule: %s, Estimated Wait: %s\n",
		result.MatchedRule.Name, result.Outcomes[0].EstimatedWaitTime)
}

Common Errors & Debugging

Error: 400 Bad Request

• What causes it: The simulation payload contains invalid field types, missing required properties, or exceeds the maximum depth limit. The routing engine rejects malformed JSON or unsupported attribute keys.
• How to fix it: Run the ValidateSimulationPayload function before submission. Verify that queueId matches an active queue UUID. Ensure maxDepth falls within the 1 to 15 range. Check that caller attribute keys exactly match those defined in your routing rules.
• Code showing the fix:

if err := ValidateSimulationPayload(payload); err != nil {
    slog.Error("rejecting invalid payload", "error", err)
    return nil, err
}

Error: 401 Unauthorized

• What causes it: The OAuth token has expired or was never successfully retrieved. The API rejects requests missing a valid Bearer token.
• How to fix it: Implement token caching with expiration tracking. Refresh the token when time.Until(o.TokenExpiry) <= 30*time.Second. Verify that the OAuth client credentials have the routing:simulation scope assigned in the Genesys Cloud admin console.
• Code showing the fix:

token, err := oauth.GetAccessToken(ctx)
if err != nil {
    slog.Error("token refresh failed", "error", err)
    os.Exit(1)
}

Error: 429 Too Many Requests

• What causes it: The routing simulation endpoint enforces rate limits per client ID. Rapid iteration or batch submissions trigger throttling.
• How to fix it: Implement exponential backoff retry logic. The ExecuteSimulation function includes a retry loop that sleeps for 1<<retryCount seconds before resubmitting. Reduce batch concurrency and add jitter to request timing.
• Code showing the fix:

if resp.StatusCode == http.StatusTooManyRequests {
    backoff := time.Duration(1<<retryCount) * time.Second
    time.Sleep(backoff)
    continue
}

Error: 503 Service Unavailable

• What causes it: The routing simulation service is undergoing maintenance or experiencing high load. Genesys Cloud returns 503 when the simulation engine cannot process requests.
• How to fix it: Implement a circuit breaker pattern or retry with longer intervals. Check the Genesys Cloud status page. Queue simulation requests and process them when the service returns 200 OK.
• Code showing the fix:

if resp.StatusCode == http.StatusServiceUnavailable {
    slog.Warn("simulation engine unavailable, scheduling retry")
    time.Sleep(10 * time.Second)
    // Implement queue-based retry logic here
}

Official References

• Genesys Cloud Routing Simulation API Documentation
• Genesys Cloud OAuth 2.0 Client Credentials Flow
• Go net/http Standard Library Reference
• Go log/slog Structured Logging Reference