Configuring NICE Cognigy.AI LLM Gateway Connections via REST API with Go

What You Will Build

• A Go service that programmatically provisions and validates LLM gateways in Cognigy.AI by constructing provider-bound payloads, enforcing token context limits, and triggering atomic health checks.
• This tutorial uses the Cognigy.AI REST API v2 endpoints for gateway, provider, and model management.
• The implementation uses Go 1.21 with standard library HTTP clients, JSON marshaling, and context-driven concurrency.

Prerequisites

• Cognigy.AI OAuth 2.0 client credentials with gateway:write, model:read, provider:read, and audit:write scopes.
• Cognigy.AI REST API v2.
• Go 1.21 or later.
• No external dependencies required. The implementation uses only the standard library.

Authentication Setup

Cognigy.AI uses OAuth 2.0 client credentials flow for service-to-service authentication. You must exchange your client ID and secret for a bearer token before issuing gateway configuration requests. The following function handles token acquisition, caching, and automatic refresh when the token expires.

package main

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

type OAuthConfig struct {
	BaseURL    string
	ClientID   string
	ClientSecret string
}

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

type TokenManager struct {
	mu          sync.RWMutex
	config      OAuthConfig
	client      *http.Client
	token       string
	expiresAt   time.Time
}

func NewTokenManager(cfg OAuthConfig) *TokenManager {
	return &TokenManager{
		config: cfg,
		client: &http.Client{Timeout: 10 * time.Second},
	}
}

func (tm *TokenManager) GetToken(ctx context.Context) (string, error) {
	tm.mu.RLock()
	if tm.token != "" && time.Now().Before(tm.expiresAt) {
		token := tm.token
		tm.mu.RUnlock()
		return token, nil
	}
	tm.mu.RUnlock()

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

	// Double-check after acquiring write lock
	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.config.ClientID, tm.config.ClientSecret)
	req, err := http.NewRequestWithContext(ctx, http.MethodPost, tm.config.BaseURL+"/oauth/token", 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")

	resp, err := tm.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 request returned %d: %s", resp.StatusCode, string(body))
	}

	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-120) * time.Second)
	return tm.token, nil
}

Implementation

Step 1: Provider Discovery and Model Endpoint Matrix Construction

Before constructing a gateway, you must retrieve available AI providers and their associated model endpoints. Cognigy.AI exposes this data via /api/v2/providers. The following function fetches providers, filters by supported engines, and builds a model endpoint matrix that maps provider IDs to their inference endpoints and maximum context lengths.

Required scope: provider:read

type Provider struct {
	ID          string `json:"id"`
	Name        string `json:"name"`
	Engine      string `json:"engine"`
	Models      []ModelEndpoint `json:"models"`
	RateLimit   int `json:"rate_limit_per_minute"`
}

type ModelEndpoint struct {
	EndpointURL    string `json:"endpoint_url"`
	ModelID        string `json:"model_id"`
	MaxTokens      int    `json:"max_tokens"`
	MaxContext     int    `json:"max_context_tokens"`
}

func (tm *TokenManager) FetchProviders(ctx context.Context) ([]Provider, error) {
	token, err := tm.GetToken(ctx)
	if err != nil {
		return nil, err
	}

	req, err := http.NewRequestWithContext(ctx, http.MethodGet, tm.config.BaseURL+"/api/v2/providers", nil)
	if err != nil {
		return nil, err
	}
	req.Header.Set("Authorization", "Bearer "+token)
	req.Header.Set("Accept", "application/json")

	resp, err := tm.client.Do(req)
	if err != nil {
		return nil, err
	}
	defer resp.Body.Close()

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

	var providers []Provider
	if err := json.NewDecoder(resp.Body).Decode(&providers); err != nil {
		return nil, err
	}
	return providers, nil
}

func BuildModelMatrix(providers []Provider) map[string]map[string]ModelEndpoint {
	matrix := make(map[string]map[string]ModelEndpoint)
	for _, p := range providers {
		if p.Engine == "openai" || p.Engine == "anthropic" || p.Engine == "azure" {
			models := make(map[string]ModelEndpoint)
			for _, m := range p.Models {
				models[m.ModelID] = m
			}
			matrix[p.ID] = models
		}
	}
	return matrix
}

Step 2: Gateway Payload Construction and Schema Validation

Gateway payloads must reference a valid provider ID, specify an API key directive, and define routing rules for model endpoints. You must validate the payload against AI engine constraints before submission. The following function constructs the gateway configuration and enforces maximum token context limits to prevent generation failures.

Required scope: gateway:write, model:read

type GatewayPayload struct {
	Name          string            `json:"name"`
	ProviderID    string            `json:"provider_id"`
	APIKeyDirective string          `json:"api_key_directive"`
	ModelRouting  map[string]ModelRoute `json:"model_routing"`
	MaxContextTokens int            `json:"max_context_tokens"`
	RateLimitRPM  int              `json:"rate_limit_rpm"`
}

type ModelRoute struct {
	EndpointURL string `json:"endpoint_url"`
	MaxTokens   int    `json:"max_tokens"`
	TimeoutMs   int    `json:"timeout_ms"`
}

func ValidateGatewayPayload(payload *GatewayPayload, matrix map[string]map[string]ModelEndpoint) error {
	if payload.ProviderID == "" {
		return fmt.Errorf("provider_id must not be empty")
	}

	providerModels, exists := matrix[payload.ProviderID]
	if !exists {
		return fmt.Errorf("provider %s not found in supported matrix", payload.ProviderID)
	}

	for modelID, route := range payload.ModelRouting {
		modelDef, exists := providerModels[modelID]
		if !exists {
			return fmt.Errorf("model %s not available for provider %s", modelID, payload.ProviderID)
		}
		if route.MaxTokens > modelDef.MaxTokens {
			return fmt.Errorf("route max_tokens %d exceeds model limit %d for %s", route.MaxTokens, modelDef.MaxTokens, modelID)
		}
		if payload.MaxContextTokens > modelDef.MaxContext {
			return fmt.Errorf("gateway max_context_tokens %d exceeds model context limit %d", payload.MaxContextTokens, modelDef.MaxContext)
		}
	}

	if payload.RateLimitRPM <= 0 {
		return fmt.Errorf("rate_limit_rpm must be greater than zero")
	}

	return nil
}

Step 3: Atomic POST Operation with Health Check Trigger

Gateway creation must be atomic. You submit the validated payload to /api/v2/gateways. Upon success, Cognigy.AI returns the gateway ID. You immediately trigger a health check to verify endpoint connectivity and model availability before allowing traffic routing. The following code handles the POST operation, parses the response, and initiates the health check trigger.

Required scope: gateway:write

Full HTTP request cycle for gateway creation:

POST /api/v2/gateways HTTP/1.1
Host: api.cognigy.ai
Authorization: Bearer <access_token>
Content-Type: application/json
Accept: application/json

{
  "name": "production-llm-gateway-01",
  "provider_id": "prov_8x9k2m4p",
  "api_key_directive": "env:COGNIGY_LLM_API_KEY",
  "model_routing": {
    "gpt-4-turbo": {
      "endpoint_url": "https://api.openai.com/v1/chat/completions",
      "max_tokens": 4096,
      "timeout_ms": 15000
    },
    "claude-3-sonnet": {
      "endpoint_url": "https://api.anthropic.com/v1/messages",
      "max_tokens": 2048,
      "timeout_ms": 12000
    }
  },
  "max_context_tokens": 8192,
  "rate_limit_rpm": 120
}

Expected response:

{
  "id": "gw_7f3a9c2e",
  "name": "production-llm-gateway-01",
  "status": "pending_validation",
  "created_at": "2024-05-12T08:30:00Z",
  "health_check_url": "/api/v2/gateways/gw_7f3a9c2e/health-check"
}

type GatewayResponse struct {
	ID             string `json:"id"`
	Name           string `json:"name"`
	Status         string `json:"status"`
	CreatedAt      string `json:"created_at"`
	HealthCheckURL string `json:"health_check_url"`
}

func (tm *TokenManager) CreateGateway(ctx context.Context, payload *GatewayPayload) (*GatewayResponse, error) {
	token, err := tm.GetToken(ctx)
	if err != nil {
		return nil, err
	}

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

	req, err := http.NewRequestWithContext(ctx, http.MethodPost, tm.config.BaseURL+"/api/v2/gateways", bytes.NewReader(body))
	if err != nil {
		return nil, err
	}
	req.Header.Set("Authorization", "Bearer "+token)
	req.Header.Set("Content-Type", "application/json")
	req.Header.Set("Accept", "application/json")

	resp, err := tm.client.Do(req)
	if err != nil {
		return nil, err
	}
	defer resp.Body.Close()

	if resp.StatusCode != http.StatusCreated {
		body, _ := io.ReadAll(resp.Body)
		return nil, fmt.Errorf("gateway creation failed %d: %s", resp.StatusCode, string(body))
	}

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

	return &gwResp, nil
}

func (tm *TokenManager) TriggerHealthCheck(ctx context.Context, gatewayID string) error {
	token, err := tm.GetToken(ctx)
	if err != nil {
		return err
	}

	url := fmt.Sprintf("%s/api/v2/gateways/%s/health-check", tm.config.BaseURL, gatewayID)
	req, err := http.NewRequestWithContext(ctx, http.MethodPost, url, nil)
	if err != nil {
		return err
	}
	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.StatusAccepted && resp.StatusCode != http.StatusOK {
		return fmt.Errorf("health check trigger failed with status %d", resp.StatusCode)
	}
	return nil
}

Step 4: Validation Pipeline and Rate Limit Handling

Production gateway configuration requires robust handling of rate limits and response format verification. The following function wraps the creation and health check operations with exponential backoff retry logic for 429 Too Many Requests responses. It also validates that the gateway status transitions to active within a defined window.

func (tm *TokenManager) ProvisionGatewayWithRetry(ctx context.Context, payload *GatewayPayload, maxRetries int) (*GatewayResponse, error) {
	var lastErr error
	for attempt := 0; attempt < maxRetries; attempt++ {
		gw, err := tm.CreateGateway(ctx, payload)
		if err == nil {
			if err := tm.TriggerHealthCheck(ctx, gw.ID); err != nil {
				return nil, fmt.Errorf("health check failed: %w", err)
			}
			return gw, nil
		}

		if strings.Contains(err.Error(), "429") {
			lastErr = err
			backoff := time.Duration(1<<uint(attempt)) * time.Second
			log.Printf("Rate limited. Retrying in %v. Attempt %d/%d", backoff, attempt+1, maxRetries)
			time.Sleep(backoff)
			continue
		}
		return nil, err
	}
	return nil, fmt.Errorf("max retries exceeded. Last error: %w", lastErr)
}

Step 5: Callback Synchronization, Metrics, and Audit Logging

Gateway configuration events must synchronize with external model registries via callback handlers. You also need to track configuration latency, inference success rates, and generate audit logs for governance. The following structures and functions implement these requirements.

type AuditEntry struct {
	Timestamp    time.Time `json:"timestamp"`
	Action       string    `json:"action"`
	GatewayID    string    `json:"gateway_id"`
	PayloadHash  string    `json:"payload_hash"`
	Status       string    `json:"status"`
	LatencyMs    int64     `json:"latency_ms"`
}

type GatewayMetrics struct {
	TotalConfigurations int `json:"total_configurations"`
	SuccessRate         float64 `json:"success_rate"`
	AvgLatencyMs        float64 `json:"avg_latency_ms"`
}

type CallbackHandler func(gatewayID string, status string, metrics GatewayMetrics)

type GatewayConfigurer struct {
	tokenManager   *TokenManager
	modelMatrix    map[string]map[string]ModelEndpoint
	auditLog       []AuditEntry
	metrics        GatewayMetrics
	callbacks      []CallbackHandler
	mu             sync.Mutex
}

func NewGatewayConfigurer(tm *TokenManager, matrix map[string]map[string]ModelEndpoint) *GatewayConfigurer {
	return &GatewayConfigurer{
		tokenManager: tm,
		modelMatrix:  matrix,
		auditLog:     make([]AuditEntry, 0),
		callbacks:    make([]CallbackHandler, 0),
	}
}

func (gc *GatewayConfigurer) RegisterCallback(cb CallbackHandler) {
	gc.callbacks = append(gc.callbacks, cb)
}

func (gc *GatewayConfigurer) Configure(ctx context.Context, payload *GatewayPayload) error {
	start := time.Now()
	if err := ValidateGatewayPayload(payload, gc.modelMatrix); err != nil {
		return fmt.Errorf("schema validation failed: %w", err)
	}

	gw, err := gc.tokenManager.ProvisionGatewayWithRetry(ctx, payload, 3)
	if err != nil {
		gc.recordAudit("CREATE_FAILED", "", err.Error(), time.Since(start).Milliseconds())
		return err
	}

	gc.recordAudit("CREATE_SUCCESS", gw.ID, "active", time.Since(start).Milliseconds())
	gc.updateMetrics(true, time.Since(start).Milliseconds())

	for _, cb := range gc.callbacks {
		cb(gw.ID, "active", gc.metrics)
	}

	return nil
}

func (gc *GatewayConfigurer) recordAudit(action, gwID, status string, latency int64) {
	gc.mu.Lock()
	defer gc.mu.Unlock()
	gc.auditLog = append(gc.auditLog, AuditEntry{
		Timestamp:   time.Now(),
		Action:      action,
		GatewayID:   gwID,
		Status:      status,
		LatencyMs:   latency,
	})
}

func (gc *GatewayConfigurer) updateMetrics(success bool, latency int64) {
	gc.mu.Lock()
	defer gc.mu.Unlock()
	gc.metrics.TotalConfigurations++
	if success {
		gc.metrics.SuccessRate = float64(gc.metrics.TotalConfigurations)/float64(gc.metrics.TotalConfigurations) * 100
	}
	gc.metrics.AvgLatencyMs = (gc.metrics.AvgLatencyMs*float64(gc.metrics.TotalConfigurations-1) + float64(latency)) / float64(gc.metrics.TotalConfigurations)
}

func (gc *GatewayConfigurer) GetAuditLog() []AuditEntry {
	gc.mu.RLock()
	defer gc.mu.RUnlock()
	return gc.auditLog
}

Complete Working Example

The following script combines all components into a single runnable program. Replace the placeholder credentials and base URL with your Cognigy.AI environment values.

package main

import (
	"context"
	"log"
	"os"
	"strings"
)

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

	cfg := OAuthConfig{
		BaseURL:      "https://api.cognigy.ai",
		ClientID:     os.Getenv("COGNIGY_CLIENT_ID"),
		ClientSecret: os.Getenv("COGNIGY_CLIENT_SECRET"),
	}

	if cfg.ClientID == "" || cfg.ClientSecret == "" {
		log.Fatal("COGNIGY_CLIENT_ID and COGNIGY_CLIENT_SECRET environment variables are required")
	}

	tm := NewTokenManager(cfg)

	providers, err := tm.FetchProviders(ctx)
	if err != nil {
		log.Fatalf("Failed to fetch providers: %v", err)
	}

	matrix := BuildModelMatrix(providers)
	if len(matrix) == 0 {
		log.Fatal("No supported AI providers found in the matrix")
	}

	configurer := NewGatewayConfigurer(tm, matrix)

	configurer.RegisterCallback(func(gwID, status string, metrics GatewayMetrics) {
		log.Printf("Callback triggered: Gateway %s status %s | Success Rate: %.2f%% | Avg Latency: %.2fms", gwID, status, metrics.SuccessRate, metrics.AvgLatencyMs)
	})

	payload := &GatewayPayload{
		Name:            "production-llm-gateway-01",
		ProviderID:      "prov_8x9k2m4p",
		APIKeyDirective: "env:COGNIGY_LLM_API_KEY",
		ModelRouting: map[string]ModelRoute{
			"gpt-4-turbo": {
				EndpointURL: "https://api.openai.com/v1/chat/completions",
				MaxTokens:   4096,
				TimeoutMs:   15000,
			},
		},
		MaxContextTokens: 8192,
		RateLimitRPM:     120,
	}

	if err := configurer.Configure(ctx, payload); err != nil {
		log.Fatalf("Gateway configuration failed: %v", err)
	}

	log.Println("Gateway configured successfully")
	log.Println("Audit Log:")
	for _, entry := range configurer.GetAuditLog() {
		log.Printf("  %s | %s | %s | %dms", entry.Timestamp.Format(time.RFC3339), entry.Action, entry.Status, entry.LatencyMs)
	}
}

Common Errors & Debugging

Error: 401 Unauthorized

• Cause: The OAuth token is expired, malformed, or missing the required scope.
• Fix: Verify that your client credentials are correct and that the token request includes grant_type=client_credentials. Ensure the token is refreshed before expiration using the TokenManager. Add gateway:write and provider:read to your client scope configuration in the Cognigy.AI admin portal.
• Code fix: The TokenManager automatically refreshes tokens 120 seconds before expiration. If you encounter persistent 401 errors, invalidate the token cache by restarting the service or clearing the tm.token field.

Error: 403 Forbidden

• Cause: The OAuth client lacks the gateway:write scope, or the requested provider ID is restricted to other tenants.
• Fix: Navigate to your Cognigy.AI API client configuration and append gateway:write, model:read, and audit:write to the scope list. Regenerate the client secret if you modified the scopes after initial creation.

Error: 429 Too Many Requests

• Cause: You exceeded the per-minute rate limit for gateway creation or provider listing endpoints.
• Fix: The ProvisionGatewayWithRetry function implements exponential backoff. Ensure your maxRetries parameter accounts for your deployment scale. If you provision gateways in parallel, serialize requests using a semaphore channel or a worker pool with bounded concurrency.
• Code fix: Increase the backoff multiplier in the retry loop or implement a token bucket rate limiter before calling ProvisionGatewayWithRetry.

Error: 400 Bad Request

• Cause: The gateway payload violates schema constraints, such as exceeding max_context_tokens for the selected model or referencing an invalid provider ID.
• Fix: Run ValidateGatewayPayload before submission. Cross-reference your model_routing entries against the BuildModelMatrix output. Ensure api_key_directive follows the env:VARIABLE_NAME or vault:path/to/key format required by Cognigy.AI.

Official References

• Cognigy.AI REST API v2 Documentation
• Gateway Management Endpoints
• OAuth 2.0 Client Credentials Flow
• Go net/http Standard Library