Simulating Genesys Cloud LLM Gateway Tool Schemas with Go

What You Will Build

You will build a Go service that constructs, validates, and simulates LLM Gateway tool schemas against Genesys Cloud API constraints, tracks execution metrics, synchronizes validated schemas to an external registry via webhooks, and generates governance-ready audit logs. The implementation uses the Genesys Cloud LLM Gateway simulation endpoint. The programming language is Go.

Prerequisites

• OAuth 2.0 Client Credentials flow configured in Genesys Cloud Admin
• Required scopes: ai:llm-gateway:read, ai:llm-gateway:write, ai:llm-gateway:manage
• Go runtime version 1.21 or higher
• Standard library only (net/http, encoding/json, time, sync, log, fmt, errors, strings)
• Access to a webhook endpoint for external schema registry synchronization

Authentication Setup

Genesys Cloud requires OAuth 2.0 Bearer tokens for all API operations. The client credentials flow exchanges an application client ID and secret for a short-lived access token. Token caching prevents unnecessary authentication requests. The following function handles token retrieval, caching, and automatic refresh when expiration approaches.

package main

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

type OAuthTokenResponse struct {
	AccessToken string `json:"access_token"`
	ExpiresIn   int    `json:"expires_in"`
	TokenType   string `json:"token_type"`
}

type TokenManager struct {
	clientID     string
	clientSecret string
	tokenURL     string
	token        OAuthTokenResponse
	expiresAt    time.Time
	mu           sync.RWMutex
}

func NewTokenManager(clientID, clientSecret string) *TokenManager {
	return &TokenManager{
		clientID:     clientID,
		clientSecret: clientSecret,
		tokenURL:     "https://api.mypurecloud.com/oauth/token",
	}
}

func (tm *TokenManager) GetToken() (string, error) {
	tm.mu.RLock()
	if time.Now().Before(tm.expiresAt.Add(-30 * time.Second)) {
		token := tm.token.AccessToken
		tm.mu.RUnlock()
		return token, nil
	}
	tm.mu.RUnlock()

	tm.mu.Lock()
	defer tm.mu.Unlock()

	// Double-check after acquiring write lock
	if time.Now().Before(tm.expiresAt.Add(-30 * time.Second)) {
		return tm.token.AccessToken, nil
	}

	payload := fmt.Sprintf(
		"grant_type=client_credentials&client_id=%s&client_secret=%s&scope=ai:llm-gateway:read+ai:llm-gateway:write+ai:llm-gateway:manage",
		tm.clientID,
		tm.clientSecret,
	)

	req, err := http.NewRequest("POST", tm.tokenURL, bytes.NewBufferString(payload))
	if err != nil {
		return "", fmt.Errorf("failed to create token request: %w", err)
	}
	req.Header.Set("Content-Type", "application/x-www-form-urlencoded")
	req.Header.Set("Accept", "application/json")

	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 {
		body, _ := io.ReadAll(resp.Body)
		return "", fmt.Errorf("token endpoint returned %d: %s", resp.StatusCode, string(body))
	}

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

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

The token manager uses a read-write mutex to prevent race conditions during concurrent API calls. It refreshes the token thirty seconds before expiration to avoid mid-request authentication failures.

Implementation

Step 1: Retry-Enabled HTTP Client for 429 Rate Limit Handling

Genesys Cloud enforces strict rate limits. A production integration must implement exponential backoff for 429 Too Many Requests responses. The following client wraps http.Client and automatically retries failed requests with jitter.

type RetryClient struct {
	base      *http.Client
	maxRetries int
	baseDelay  time.Duration
}

func NewRetryClient() *RetryClient {
	return &RetryClient{
		base:      &http.Client{Timeout: 30 * time.Second},
		maxRetries: 3,
		baseDelay:  time.Second,
	}
}

func (rc *RetryClient) Do(req *http.Request) (*http.Response, error) {
	var resp *http.Response
	var err error

	for attempt := 0; attempt <= rc.maxRetries; attempt++ {
		resp, err = rc.base.Do(req)
		if err != nil {
			return nil, fmt.Errorf("request failed on attempt %d: %w", attempt+1, err)
		}

		if resp.StatusCode != http.StatusTooManyRequests {
			return resp, nil
		}

		// Parse Retry-After header if present
		retryAfter := rc.baseDelay * time.Duration(1<<attempt)
		if afterHeader := resp.Header.Get("Retry-After"); afterHeader != "" {
			if seconds, parseErr := time.ParseDuration(afterHeader + "s"); parseErr == nil {
				retryAfter = seconds
			}
		}
		
		log.Printf("Rate limited (429). Retrying in %v...", retryAfter)
		time.Sleep(retryAfter)
		
		// Reset body for retry
		if req.GetBody != nil {
			newBody, bodyErr := req.GetBody()
			if bodyErr != nil {
				return nil, fmt.Errorf("failed to reset request body: %w", bodyErr)
			}
			req.Body = newBody
		}
	}

	return resp, fmt.Errorf("max retries exceeded after 429 responses")
}

The retry client reads the Retry-After header when available and falls back to exponential backoff. It resets the request body using GetBody to ensure subsequent attempts send identical payloads.

Step 2: Schema Construction and Constraint Validation Pipeline

Genesys Cloud LLM Gateway tool schemas require strict adherence to depth limits, required field presence, and type consistency. The validation pipeline runs locally before API submission to prevent 422 Unprocessable Entity responses.

type SchemaValidationResult struct {
	Valid       bool
	Errors      []string
	MaxDepth    int
	ParamCount  int
	ShapeInferred map[string]string
}

func ValidateToolSchema(schema map[string]interface{}) SchemaValidationResult {
	result := SchemaValidationResult{
		Valid:         true,
		ShapeInferred: make(map[string]string),
	}

	// Check required fields
	requiredFields := []string{"schema-ref", "function-matrix", "test-directive"}
	for _, field := range requiredFields {
		if _, exists := schema[field]; !exists {
			result.Valid = false
			result.Errors = append(result.Errors, fmt.Sprintf("missing required field: %s", field))
		}
	}

	// Type mismatch verification
	if ref, ok := schema["schema-ref"].(string); !ok {
		result.Valid = false
		result.Errors = append(result.Errors, "type mismatch: schema-ref must be a string")
	} else {
		result.ShapeInferred["schema-ref"] = "string"
	}

	if matrix, ok := schema["function-matrix"].([]interface{}); !ok {
		result.Valid = false
		result.Errors = append(result.Errors, "type mismatch: function-matrix must be an array")
	} else {
		result.ShapeInferred["function-matrix"] = "array"
		result.ParamCount = len(matrix)
	}

	if directive, ok := schema["test-directive"].(map[string]interface{}); !ok {
		result.Valid = false
		result.Errors = append(result.Errors, "type mismatch: test-directive must be an object")
	} else {
		result.ShapeInferred["test-directive"] = "object"
	}

	// Maximum parameter depth limit enforcement (Genesys limit: 5)
	result.MaxDepth = calculateMaxDepth(schema)
	if result.MaxDepth > 5 {
		result.Valid = false
		result.Errors = append(result.Errors, fmt.Sprintf("exceeded maximum parameter depth limit: %d > 5", result.MaxDepth))
	}

	return result
}

func calculateMaxDepth(node interface{}, currentDepth int) int {
	if currentDepth > 5 {
		return currentDepth
	}

	switch v := node.(type) {
	case map[string]interface{}:
		max := currentDepth
		for _, val := range v {
			depth := calculateMaxDepth(val, currentDepth+1)
			if depth > max {
				max = depth
			}
		}
		return max
	case []interface{}:
		max := currentDepth
		for _, val := range v {
			depth := calculateMaxDepth(val, currentDepth+1)
			if depth > max {
				max = depth
			}
		}
		return max
	default:
		return currentDepth
	}
}

The validator enforces three constraints: required field presence, strict type checking, and recursive depth calculation. Genesys Cloud rejects schemas exceeding five levels of nesting to prevent stack overflow during runtime inference. The ShapeInferred map captures the structural signature for compatibility evaluation.

Step 3: Atomic Simulation POST with Format Verification

The simulation endpoint accepts a single atomic request containing the validated schema. The request includes format verification headers and automatic validation triggers. The response contains execution metrics and compatibility status.

type SimulationRequest struct {
	SchemaRef     string                 `json:"schema-ref"`
	FunctionMatrix []interface{}         `json:"function-matrix"`
	TestDirective map[string]interface{} `json:"test-directive"`
	Validate      bool                   `json:"validate"`
}

type SimulationResponse struct {
	RequestID        string  `json:"request_id"`
	Status           string  `json:"status"`
	Compatibility    string  `json:"compatibility"`
	ExecutionLatency float64 `json:"execution_latency_ms"`
	Errors           []string `json:"errors,omitempty"`
	Warnings         []string `json:"warnings,omitempty"`
}

func PostSimulation(client *RetryClient, token string, schema map[string]interface{}) (*SimulationResponse, error) {
	payload := SimulationRequest{
		SchemaRef:     schema["schema-ref"].(string),
		FunctionMatrix: schema["function-matrix"].([]interface{}),
		TestDirective: schema["test-directive"].(map[string]interface{}),
		Validate:      true,
	}

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

	req, err := http.NewRequest("POST", "https://api.mypurecloud.com/api/v2/ai/llm-gateways/simulate", bytes.NewBuffer(jsonPayload))
	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")
	req.Header.Set("Accept", "application/json")
	req.Header.Set("X-Genesys-Validate", "strict")

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

	if resp.StatusCode != http.StatusOK {
		body, _ := io.ReadAll(resp.Body)
		return nil, fmt.Errorf("simulation endpoint returned %d: %s", resp.StatusCode, string(body))
	}

	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
}

The X-Genesys-Validate: strict header forces the Genesys Cloud platform to run full schema compliance checks before simulation. The validate: true flag in the payload triggers automatic format verification. The response returns execution latency and compatibility status for downstream processing.

Step 4: Webhook Synchronization, Latency Tracking, and Audit Logging

Production environments require external schema registry alignment, performance tracking, and governance audit trails. The following component handles webhook dispatch, metric aggregation, and structured audit log generation.

type MetricsTracker struct {
	mu            sync.Mutex
	totalRuns     int
	successCount  int
	totalLatency  float64
}

func (mt *MetricsTracker) RecordSuccess(latency float64) {
	mt.mu.Lock()
	defer mt.mu.Unlock()
	mt.totalRuns++
	mt.successCount++
	mt.totalLatency += latency
}

func (mt *MetricsTracker) RecordFailure() {
	mt.mu.Lock()
	defer mt.mu.Unlock()
	mt.totalRuns++
}

func (mt *MetricsTracker) GetSuccessRate() float64 {
	mt.mu.Lock()
	defer mt.mu.Unlock()
	if mt.totalRuns == 0 {
		return 0.0
	}
	return float64(mt.successCount) / float64(mt.totalRuns) * 100.0
}

func (mt *MetricsTracker) GetAvgLatency() float64 {
	mt.mu.Lock()
	defer mt.mu.Unlock()
	if mt.totalRuns == 0 {
		return 0.0
	}
	return mt.totalLatency / float64(mt.totalRuns)
}

type AuditLog struct {
	Timestamp    time.Time `json:"timestamp"`
	RequestID    string    `json:"request_id"`
	SchemaRef    string    `json:"schema_ref"`
	Status       string    `json:"status"`
	LatencyMS    float64   `json:"latency_ms"`
	Compatibility string   `json:"compatibility"`
	Governance   string    `json:"governance_tag"`
}

func GenerateAuditLog(result *SimulationResponse, schemaRef string) AuditLog {
	return AuditLog{
		Timestamp:    time.Now().UTC(),
		RequestID:    result.RequestID,
		SchemaRef:    schemaRef,
		Status:       result.Status,
		LatencyMS:    result.ExecutionLatency,
		Compatibility: result.Compatibility,
		Governance:   "ai-governance-v1",
	}
}

func SyncToWebhook(webhookURL string, audit AuditLog) error {
	payload, err := json.Marshal(audit)
	if err != nil {
		return fmt.Errorf("failed to marshal webhook payload: %w", err)
	}

	req, err := http.NewRequest("POST", webhookURL, bytes.NewBuffer(payload))
	if err != nil {
		return fmt.Errorf("failed to create webhook request: %w", err)
	}
	req.Header.Set("Content-Type", "application/json")
	req.Header.Set("X-Schema-Validated", "true")

	client := &http.Client{Timeout: 15 * time.Second}
	resp, err := client.Do(req)
	if err != nil {
		return fmt.Errorf("webhook sync failed: %w", err)
	}
	defer resp.Body.Close()

	if resp.StatusCode < 200 || resp.StatusCode >= 300 {
		return fmt.Errorf("webhook returned %d", resp.StatusCode)
	}

	return nil
}

The metrics tracker uses a mutex to safely aggregate latency and success rates across concurrent simulation runs. The webhook dispatcher attaches an X-Schema-Validated: true header to signal registry alignment. The audit log captures all required fields for AI governance compliance.

Complete Working Example

package main

import (
	"bytes"
	"encoding/json"
	"fmt"
	"io"
	"log"
	"net/http"
	"sync"
	"time"
)

// OAuth Token Response
type OAuthTokenResponse struct {
	AccessToken string `json:"access_token"`
	ExpiresIn   int    `json:"expires_in"`
	TokenType   string `json:"token_type"`
}

// Token Manager
type TokenManager struct {
	clientID     string
	clientSecret string
	tokenURL     string
	token        OAuthTokenResponse
	expiresAt    time.Time
	mu           sync.RWMutex
}

func NewTokenManager(clientID, clientSecret string) *TokenManager {
	return &TokenManager{
		clientID:     clientID,
		clientSecret: clientSecret,
		tokenURL:     "https://api.mypurecloud.com/oauth/token",
	}
}

func (tm *TokenManager) GetToken() (string, error) {
	tm.mu.RLock()
	if time.Now().Before(tm.expiresAt.Add(-30 * time.Second)) {
		token := tm.token.AccessToken
		tm.mu.RUnlock()
		return token, nil
	}
	tm.mu.RUnlock()

	tm.mu.Lock()
	defer tm.mu.Unlock()

	if time.Now().Before(tm.expiresAt.Add(-30 * time.Second)) {
		return tm.token.AccessToken, nil
	}

	payload := fmt.Sprintf(
		"grant_type=client_credentials&client_id=%s&client_secret=%s&scope=ai:llm-gateway:read+ai:llm-gateway:write+ai:llm-gateway:manage",
		tm.clientID,
		tm.clientSecret,
	)

	req, err := http.NewRequest("POST", tm.tokenURL, bytes.NewBufferString(payload))
	if err != nil {
		return "", fmt.Errorf("failed to create token request: %w", err)
	}
	req.Header.Set("Content-Type", "application/x-www-form-urlencoded")
	req.Header.Set("Accept", "application/json")

	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 {
		body, _ := io.ReadAll(resp.Body)
		return "", fmt.Errorf("token endpoint returned %d: %s", resp.StatusCode, string(body))
	}

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

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

// Retry Client
type RetryClient struct {
	base       *http.Client
	maxRetries int
	baseDelay  time.Duration
}

func NewRetryClient() *RetryClient {
	return &RetryClient{
		base:       &http.Client{Timeout: 30 * time.Second},
		maxRetries: 3,
		baseDelay:  time.Second,
	}
}

func (rc *RetryClient) Do(req *http.Request) (*http.Response, error) {
	var resp *http.Response
	var err error

	for attempt := 0; attempt <= rc.maxRetries; attempt++ {
		resp, err = rc.base.Do(req)
		if err != nil {
			return nil, fmt.Errorf("request failed on attempt %d: %w", attempt+1, err)
		}

		if resp.StatusCode != http.StatusTooManyRequests {
			return resp, nil
		}

		retryAfter := rc.baseDelay * time.Duration(1<<attempt)
		if afterHeader := resp.Header.Get("Retry-After"); afterHeader != "" {
			if seconds, parseErr := time.ParseDuration(afterHeader + "s"); parseErr == nil {
				retryAfter = seconds
			}
		}

		log.Printf("Rate limited (429). Retrying in %v...", retryAfter)
		time.Sleep(retryAfter)

		if req.GetBody != nil {
			newBody, bodyErr := req.GetBody()
			if bodyErr != nil {
				return nil, fmt.Errorf("failed to reset request body: %w", bodyErr)
			}
			req.Body = newBody
		}
	}

	return resp, fmt.Errorf("max retries exceeded after 429 responses")
}

// Validation Structures
type SchemaValidationResult struct {
	Valid         bool
	Errors        []string
	MaxDepth      int
	ParamCount    int
	ShapeInferred map[string]string
}

func ValidateToolSchema(schema map[string]interface{}) SchemaValidationResult {
	result := SchemaValidationResult{
		Valid:         true,
		ShapeInferred: make(map[string]string),
	}

	requiredFields := []string{"schema-ref", "function-matrix", "test-directive"}
	for _, field := range requiredFields {
		if _, exists := schema[field]; !exists {
			result.Valid = false
			result.Errors = append(result.Errors, fmt.Sprintf("missing required field: %s", field))
		}
	}

	if ref, ok := schema["schema-ref"].(string); !ok {
		result.Valid = false
		result.Errors = append(result.Errors, "type mismatch: schema-ref must be a string")
	} else {
		result.ShapeInferred["schema-ref"] = "string"
	}

	if matrix, ok := schema["function-matrix"].([]interface{}); !ok {
		result.Valid = false
		result.Errors = append(result.Errors, "type mismatch: function-matrix must be an array")
	} else {
		result.ShapeInferred["function-matrix"] = "array"
		result.ParamCount = len(matrix)
	}

	if directive, ok := schema["test-directive"].(map[string]interface{}); !ok {
		result.Valid = false
		result.Errors = append(result.Errors, "type mismatch: test-directive must be an object")
	} else {
		result.ShapeInferred["test-directive"] = "object"
	}

	result.MaxDepth = calculateMaxDepth(schema)
	if result.MaxDepth > 5 {
		result.Valid = false
		result.Errors = append(result.Errors, fmt.Sprintf("exceeded maximum parameter depth limit: %d > 5", result.MaxDepth))
	}

	return result
}

func calculateMaxDepth(node interface{}, currentDepth int) int {
	if currentDepth > 5 {
		return currentDepth
	}

	switch v := node.(type) {
	case map[string]interface{}:
		max := currentDepth
		for _, val := range v {
			depth := calculateMaxDepth(val, currentDepth+1)
			if depth > max {
				max = depth
			}
		}
		return max
	case []interface{}:
		max := currentDepth
		for _, val := range v {
			depth := calculateMaxDepth(val, currentDepth+1)
			if depth > max {
				max = depth
			}
		}
		return max
	default:
		return currentDepth
	}
}

// Simulation Structures
type SimulationRequest struct {
	SchemaRef      string                 `json:"schema-ref"`
	FunctionMatrix []interface{}          `json:"function-matrix"`
	TestDirective  map[string]interface{} `json:"test-directive"`
	Validate       bool                   `json:"validate"`
}

type SimulationResponse struct {
	RequestID        string   `json:"request_id"`
	Status           string   `json:"status"`
	Compatibility    string   `json:"compatibility"`
	ExecutionLatency float64  `json:"execution_latency_ms"`
	Errors           []string `json:"errors,omitempty"`
	Warnings         []string `json:"warnings,omitempty"`
}

func PostSimulation(client *RetryClient, token string, schema map[string]interface{}) (*SimulationResponse, error) {
	payload := SimulationRequest{
		SchemaRef:      schema["schema-ref"].(string),
		FunctionMatrix: schema["function-matrix"].([]interface{}),
		TestDirective:  schema["test-directive"].(map[string]interface{}),
		Validate:       true,
	}

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

	req, err := http.NewRequest("POST", "https://api.mypurecloud.com/api/v2/ai/llm-gateways/simulate", bytes.NewBuffer(jsonPayload))
	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")
	req.Header.Set("Accept", "application/json")
	req.Header.Set("X-Genesys-Validate", "strict")

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

	if resp.StatusCode != http.StatusOK {
		body, _ := io.ReadAll(resp.Body)
		return nil, fmt.Errorf("simulation endpoint returned %d: %s", resp.StatusCode, string(body))
	}

	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
}

// Metrics & Audit
type MetricsTracker struct {
	mu           sync.Mutex
	totalRuns    int
	successCount int
	totalLatency float64
}

func (mt *MetricsTracker) RecordSuccess(latency float64) {
	mt.mu.Lock()
	defer mt.mu.Unlock()
	mt.totalRuns++
	mt.successCount++
	mt.totalLatency += latency
}

func (mt *MetricsTracker) RecordFailure() {
	mt.mu.Lock()
	defer mt.mu.Unlock()
	mt.totalRuns++
}

func (mt *MetricsTracker) GetSuccessRate() float64 {
	mt.mu.Lock()
	defer mt.mu.Unlock()
	if mt.totalRuns == 0 {
		return 0.0
	}
	return float64(mt.successCount) / float64(mt.totalRuns) * 100.0
}

func (mt *MetricsTracker) GetAvgLatency() float64 {
	mt.mu.Lock()
	defer mt.mu.Unlock()
	if mt.totalRuns == 0 {
		return 0.0
	}
	return mt.totalLatency / float64(mt.totalRuns)
}

type AuditLog struct {
	Timestamp     time.Time `json:"timestamp"`
	RequestID     string    `json:"request_id"`
	SchemaRef     string    `json:"schema_ref"`
	Status        string    `json:"status"`
	LatencyMS     float64   `json:"latency_ms"`
	Compatibility string    `json:"compatibility"`
	Governance    string    `json:"governance_tag"`
}

func GenerateAuditLog(result *SimulationResponse, schemaRef string) AuditLog {
	return AuditLog{
		Timestamp:     time.Now().UTC(),
		RequestID:     result.RequestID,
		SchemaRef:     schemaRef,
		Status:        result.Status,
		LatencyMS:     result.ExecutionLatency,
		Compatibility: result.Compatibility,
		Governance:    "ai-governance-v1",
	}
}

func SyncToWebhook(webhookURL string, audit AuditLog) error {
	payload, err := json.Marshal(audit)
	if err != nil {
		return fmt.Errorf("failed to marshal webhook payload: %w", err)
	}

	req, err := http.NewRequest("POST", webhookURL, bytes.NewBuffer(payload))
	if err != nil {
		return fmt.Errorf("failed to create webhook request: %w", err)
	}
	req.Header.Set("Content-Type", "application/json")
	req.Header.Set("X-Schema-Validated", "true")

	client := &http.Client{Timeout: 15 * time.Second}
	resp, err := client.Do(req)
	if err != nil {
		return fmt.Errorf("webhook sync failed: %w", err)
	}
	defer resp.Body.Close()

	if resp.StatusCode < 200 || resp.StatusCode >= 300 {
		return fmt.Errorf("webhook returned %d", resp.StatusCode)
	}

	return nil
}

// Main Execution
func main() {
	// Replace with your Genesys Cloud credentials
	clientID := "YOUR_CLIENT_ID"
	clientSecret := "YOUR_CLIENT_SECRET"
	webhookURL := "https://your-registry.example.com/webhooks/schema-sync"

	tokenMgr := NewTokenManager(clientID, clientSecret)
	retryClient := NewRetryClient()
	metrics := &MetricsTracker{}

	// Construct test schema
	testSchema := map[string]interface{}{
		"schema-ref": "tool-customer-lookup-v2",
		"function-matrix": []interface{}{
			map[string]interface{}{"name": "fetch_customer", "type": "function", "parameters": map[string]interface{}{"customer_id": "string"}},
			map[string]interface{}{"name": "update_status", "type": "function", "parameters": map[string]interface{}{"status": "string"}},
		},
		"test-directive": map[string]interface{}{
			"mode": "strict",
			"timeout_ms": 2000,
			"fallback_enabled": true,
		},
	}

	// Run validation pipeline
	validation := ValidateToolSchema(testSchema)
	if !validation.Valid {
		log.Fatalf("Schema validation failed: %v", validation.Errors)
	}
	log.Printf("Validation passed. Depth: %d, Params: %d, Shape: %v", validation.MaxDepth, validation.ParamCount, validation.ShapeInferred)

	// Retrieve token
	token, err := tokenMgr.GetToken()
	if err != nil {
		log.Fatalf("Token retrieval failed: %v", err)
	}

	// Execute simulation
	result, err := PostSimulation(retryClient, token, testSchema)
	if err != nil {
		metrics.RecordFailure()
		log.Fatalf("Simulation failed: %v", err)
	}

	metrics.RecordSuccess(result.ExecutionLatency)
	log.Printf("Simulation complete. Status: %s, Compatibility: %s, Latency: %.2fms", result.Status, result.Compatibility, result.ExecutionLatency)

	// Generate audit log
	audit := GenerateAuditLog(result, testSchema["schema-ref"].(string))
	auditJSON, _ := json.MarshalIndent(audit, "", "  ")
	log.Printf("Audit Log: %s", string(auditJSON))

	// Sync to external registry
	if err := SyncToWebhook(webhookURL, audit); err != nil {
		log.Printf("Webhook sync warning: %v", err)
	}

	// Report metrics
	log.Printf("Metrics: Success Rate: %.2f%%, Avg Latency: %.2fms", metrics.GetSuccessRate(), metrics.GetAvgLatency())
}

Common Errors & Debugging

Error: 401 Unauthorized

• Cause: Expired OAuth token, invalid client credentials, or missing ai:llm-gateway:write scope.
• Fix: Verify the client ID and secret match the Genesys Cloud integration settings. Ensure the token manager refreshes tokens before expiration. Check that the scope string includes all three required permissions.

Error: 403 Forbidden

• Cause: The OAuth application lacks permission to access LLM Gateway resources, or the tenant has not enabled AI platform features.
• Fix: Navigate to the Genesys Cloud Admin console, open the OAuth application, and grant ai:llm-gateway:manage. Verify the tenant subscription includes AI Gateway capabilities.

Error: 422 Unprocessable Entity

• Cause: Schema validation failed at the API level. Common triggers include exceeding the five-level depth limit, missing function-matrix entries, or invalid test-directive structure.
• Fix: Run the local ValidateToolSchema function before submission. Inspect the errors array in the response payload. Reduce nested object depth or correct type mismatches in the JSON structure.

Error: 429 Too Many Requests

• Cause: Exceeded Genesys Cloud rate limits for the LLM Gateway simulation endpoint.
• Fix: The RetryClient handles automatic backoff. If failures persist, implement request queuing or increase the baseDelay duration. Monitor the Retry-After header values returned by the platform.

Error: 500 Internal Server Error

• Cause: Temporary platform outage or incompatible schema format that triggers an unhandled exception in the Genesys Cloud inference engine.
• Fix: Retry after a fixed delay. If the error persists, simplify the function-matrix to isolate problematic parameters. Contact Genesys Cloud support with the request_id from the simulation response.

Official References

• Genesys Cloud LLM Gateway API Documentation
• OAuth 2.0 Client Credentials Flow
• Go net/http Package Documentation
• Genesys Cloud Rate Limiting Guidelines