Deploying NICE Cognigy.AI NLU Models via REST API with Go

What You Will Build

A production Go service that orchestrates NLU model deployments to Cognigy.AI environments, manages canary traffic shifting, validates infrastructure compatibility, and synchronizes deployment state with external MLOps pipelines. This tutorial uses the Cognigy.AI REST API. The implementation covers Go 1.21.

Prerequisites

• Cognigy.AI API credentials with nlu:models:read and nlu:deploy:write OAuth scopes
• Go 1.21 or higher installed and configured
• Standard library dependencies only: net/http, encoding/json, time, context, log/slog, sync, os, fmt, crypto/tls
• Target Cognigy.AI project identifier and environment slug
• Access to an external MLOps artifact store endpoint for webhook synchronization

Authentication Setup

Cognigy.AI requires Bearer token authentication for all API calls. The token endpoint returns a short-lived JWT that must be cached and refreshed before expiration. The following client structure handles token retrieval, caching, and automatic retry logic for rate-limited responses.

package main

import (
	"bytes"
	"context"
	"crypto/tls"
	"encoding/json"
	"fmt"
	"log/slog"
	"net/http"
	"os"
	"strconv"
	"sync"
	"time"
)

type CognigyClient struct {
	BaseURL    string
	Token      string
	TokenExpiry time.Time
	mu         sync.Mutex
	HTTPClient *http.Client
}

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

func NewCognigyClient(baseURL string) *CognigyClient {
	return &CognigyClient{
		BaseURL: baseURL,
		HTTPClient: &http.Client{
			Timeout: 30 * time.Second,
			Transport: &http.Transport{
				TLSClientConfig: &tls.Config{MinVersion: tls.VersionTLS12},
			},
		},
	}
}

func (c *CognigyClient) Authenticate(ctx context.Context, clientID, clientSecret string) error {
	c.mu.Lock()
	defer c.mu.Unlock()

	payload := map[string]string{
		"grant_type":    "client_credentials",
		"client_id":     clientID,
		"client_secret": clientSecret,
	}
	body, _ := json.Marshal(payload)

	req, err := http.NewRequestWithContext(ctx, http.MethodPost, c.BaseURL+"/api/v1/auth/token", bytes.NewReader(body))
	if err != nil {
		return fmt.Errorf("failed to create auth request: %w", err)
	}
	req.Header.Set("Content-Type", "application/json")

	resp, err := c.HTTPClient.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("authentication failed with status %d", resp.StatusCode)
	}

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

	c.Token = tokenResp.AccessToken
	c.TokenExpiry = time.Now().Add(time.Duration(tokenResp.ExpiresIn) * time.Second)
	slog.Info("Authenticated successfully", "expires_in_seconds", tokenResp.ExpiresIn)
	return nil
}

The authentication flow requires the nlu:models:read scope for model discovery and nlu:deploy:write for deployment operations. The client caches the token and expiration time. Subsequent requests will validate the cache before making new calls.

Implementation

Step 1: Model Discovery with Pagination and Payload Construction

Before deployment, the system must retrieve available model versions and construct a deployment payload that includes version identifiers, environment targets, and rollback policies. The Cognigy.AI model listing endpoint supports pagination via page and pageSize query parameters.

type ModelVersion struct {
	ID          string `json:"id"`
	Name        string `json:"name"`
	RuntimeVer  string `json:"runtimeVersion"`
	Environment string `json:"environment"`
}

type Pagination struct {
	Page     int `json:"page"`
	PageSize int `json:"pageSize"`
	Total    int `json:"total"`
}

type ModelListResponse struct {
	Models     []ModelVersion `json:"models"`
	Pagination Pagination     `json:"pagination"`
}

type DeploymentPayload struct {
	ModelVersionID string         `json:"modelVersionId"`
	Environment    string         `json:"environment"`
	RollbackPolicy RollbackPolicy `json:"rollbackPolicy"`
	TrafficConfig  TrafficConfig  `json:"trafficConfig"`
}

type RollbackPolicy struct {
	AutoRollback   bool    `json:"autoRollback"`
	HealthThreshold float64 `json:"healthThreshold"`
	MaxRetries     int     `json:"maxRetries"`
}

type TrafficConfig struct {
	Strategy string  `json:"strategy"`
	Percent  float64 `json:"percent"`
}

func (c *CognigyClient) ListModels(ctx context.Context, page, pageSize int) (*ModelListResponse, error) {
	if err := c.ensureToken(ctx); err != nil {
		return nil, err
	}

	url := fmt.Sprintf("%s/api/v1/nlu/models?page=%d&pageSize=%d", c.BaseURL, page, pageSize)
	req, _ := http.NewRequestWithContext(ctx, http.MethodGet, url, nil)
	req.Header.Set("Authorization", "Bearer "+c.Token)

	resp, err := c.doRequestWithRetry(req, 3)
	if err != nil {
		return nil, fmt.Errorf("failed to list models: %w", err)
	}
	defer resp.Body.Close()

	if resp.StatusCode != http.StatusOK {
		return nil, fmt.Errorf("model list returned status %d", resp.StatusCode)
	}

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

func (c *CognigyClient) ensureToken(ctx context.Context) error {
	c.mu.Lock()
	defer c.mu.Unlock()

	if c.Token != "" && time.Now().Before(c.TokenExpiry) {
		return nil
	}

	clientID := os.Getenv("COGNIGY_CLIENT_ID")
	clientSecret := os.Getenv("COGNIGY_CLIENT_SECRET")
	return c.Authenticate(ctx, clientID, clientSecret)
}

The ListModels function demonstrates pagination handling. The response includes a pagination object that indicates the total record count. Developers must iterate through pages until the returned model count matches the total. The deployment payload structure enforces explicit rollback policies and traffic configuration. The autoRollback flag enables automatic failover when health checks fall below the specified threshold.

Step 2: Infrastructure Validation and Compatibility Matrix Verification

Deployment payloads must pass infrastructure capacity checks and runtime compatibility validation before submission. Cognigy.AI enforces limits on concurrent deployments per environment and requires model runtime versions to match the target environment capabilities.

type CapacityConstraints struct {
	MaxConcurrentDeployments int     `json:"maxConcurrentDeployments"`
	MaxModelSizeMB           float64 `json:"maxModelSizeMB"`
	SupportedRuntimes        []string `json:"supportedRuntimes"`
}

func ValidateDeploymentPayload(payload DeploymentPayload, constraints CapacityConstraints) error {
	// Validate rollback policy bounds
	if payload.RollbackPolicy.HealthThreshold < 0.0 || payload.RollbackPolicy.HealthThreshold > 1.0 {
		return fmt.Errorf("health threshold must be between 0.0 and 1.0")
	}
	if payload.RollbackPolicy.MaxRetries < 1 {
		return fmt.Errorf("max retries must be at least 1")
	}

	// Validate traffic configuration
	if payload.TrafficConfig.Strategy != "canary" && payload.TrafficConfig.Strategy != "blue-green" {
		return fmt.Errorf("unsupported traffic strategy: %s", payload.TrafficConfig.Strategy)
	}
	if payload.TrafficConfig.Percent < 0.0 || payload.TrafficConfig.Percent > 100.0 {
		return fmt.Errorf("traffic percent must be between 0.0 and 100.0")
	}

	// Validate runtime compatibility
	compatible := false
	for _, rt := range constraints.SupportedRuntimes {
		if rt == "v3.2" || rt == "v3.3" {
			compatible = true
			break
		}
	}
	if !compatible {
		return fmt.Errorf("target environment runtime does not match model compatibility matrix")
	}

	return nil
}

The validation function checks rollback thresholds, traffic strategy enums, and runtime version matrices. The compatibility matrix verification prevents runtime failures caused by deploying models trained against incompatible inference engines. The function returns explicit error messages that map directly to Cognigy.AI validation rules.

Step 3: Asynchronous Job Orchestration with Health Checks and Failover

Model promotion uses an asynchronous job pattern. The deployment endpoint returns a job identifier immediately. The system polls the job status, verifies NLU health endpoints, and triggers automatic rollback when health metrics degrade below the configured threshold.

type JobStatus struct {
	ID        string    `json:"id"`
	Status    string    `json:"status"`
	CreatedAt time.Time `json:"createdAt"`
	UpdatedAt time.Time `json:"updatedAt"`
}

type HealthResponse struct {
	Status      string  `json:"status"`
	Accuracy    float64 `json:"accuracy"`
	LatencyMs   int     `json:"latencyMs"`
	Errors      int     `json:"errors"`
}

func (c *CognigyClient) DeployModel(ctx context.Context, payload DeploymentPayload) (*JobStatus, error) {
	if err := c.ensureToken(ctx); err != nil {
		return nil, err
	}

	body, _ := json.Marshal(payload)
	url := fmt.Sprintf("%s/api/v1/nlu/models/%s/deploy", c.BaseURL, payload.ModelVersionID)
	req, _ := http.NewRequestWithContext(ctx, http.MethodPost, url, bytes.NewReader(body))
	req.Header.Set("Authorization", "Bearer "+c.Token)
	req.Header.Set("Content-Type", "application/json")

	resp, err := c.doRequestWithRetry(req, 3)
	if err != nil {
		return nil, fmt.Errorf("deployment request failed: %w", err)
	}
	defer resp.Body.Close()

	if resp.StatusCode != http.StatusAccepted && resp.StatusCode != http.StatusCreated {
		return nil, fmt.Errorf("deployment returned status %d", resp.StatusCode)
	}

	var job JobStatus
	if err := json.NewDecoder(resp.Body).Decode(&job); err != nil {
		return nil, fmt.Errorf("failed to parse job status: %w", err)
	}

	slog.Info("Deployment job initiated", "job_id", job.ID, "status", job.Status)
	return &job, nil
}

func (c *CognigyClient) PollJobStatus(ctx context.Context, jobID string, maxAttempts int) error {
	for i := 0; i < maxAttempts; i++ {
		select {
		case <-ctx.Done():
			return ctx.Err()
		case <-time.After(10 * time.Second):
		}

		url := fmt.Sprintf("%s/api/v1/nlu/deployments/%s/status", c.BaseURL, jobID)
		req, _ := http.NewRequestWithContext(ctx, http.MethodGet, url, nil)
		req.Header.Set("Authorization", "Bearer "+c.Token)

		resp, err := c.doRequestWithRetry(req, 2)
		if err != nil {
			return fmt.Errorf("status poll failed: %w", err)
		}
		defer resp.Body.Close()

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

		if status.Status == "completed" {
			slog.Info("Deployment job completed", "job_id", jobID)
			return nil
		}
		if status.Status == "failed" {
			return fmt.Errorf("deployment job failed: %s", jobID)
		}

		slog.Info("Polling job status", "job_id", jobID, "current_status", status.Status, "attempt", i+1)
	}
	return fmt.Errorf("job did not complete within max attempts")
}

func (c *CognigyClient) CheckHealth(ctx context.Context, deploymentID string) (*HealthResponse, error) {
	url := fmt.Sprintf("%s/api/v1/nlu/deployments/%s/health", c.BaseURL, deploymentID)
	req, _ := http.NewRequestWithContext(ctx, http.MethodGet, url, nil)
	req.Header.Set("Authorization", "Bearer "+c.Token)

	resp, err := c.doRequestWithRetry(req, 2)
	if err != nil {
		return nil, fmt.Errorf("health check failed: %w", err)
	}
	defer resp.Body.Close()

	if resp.StatusCode != http.StatusOK {
		return nil, fmt.Errorf("health endpoint returned %d", resp.StatusCode)
	}

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

func (c *CognigyClient) TriggerRollback(ctx context.Context, deploymentID string) error {
	url := fmt.Sprintf("%s/api/v1/nlu/deployments/%s/rollback", c.BaseURL, deploymentID)
	req, _ := http.NewRequestWithContext(ctx, http.MethodPost, url, nil)
	req.Header.Set("Authorization", "Bearer "+c.Token)

	resp, err := c.doRequestWithRetry(req, 2)
	if err != nil {
		return fmt.Errorf("rollback request failed: %w", err)
	}
	defer resp.Body.Close()

	if resp.StatusCode != http.StatusOK && resp.StatusCode != http.StatusAccepted {
		return fmt.Errorf("rollback returned status %d", resp.StatusCode)
	}
	slog.Warn("Automatic rollback triggered", "deployment_id", deploymentID)
	return nil
}

The orchestration flow polls the job status endpoint every ten seconds. The health check endpoint returns inference accuracy, latency, and error counts. When accuracy falls below the healthThreshold defined in the rollback policy, the system calls the rollback endpoint. The doRequestWithRetry function (shown in the complete example) handles 429 rate limits by parsing the Retry-After header and backing off exponentially.

Step 4: Canary Traffic Shifting, Latency Monitoring, and MLOps Synchronization

After initial deployment, traffic shifts gradually using canary percentages. The system monitors latency at each stage and halts promotion if latency exceeds acceptable bounds. Deployment state synchronizes with external MLOps artifact stores via webhook notifications. Audit logs and duration metrics record governance data.

type WebhookPayload struct {
	Event       string    `json:"event"`
	DeploymentID string   `json:"deploymentId"`
	Status      string    `json:"status"`
	Timestamp   time.Time `json:"timestamp"`
	Metrics     Metrics   `json:"metrics"`
}

type Metrics struct {
	DurationSeconds float64 `json:"durationSeconds"`
	SuccessRate     float64 `json:"successRate"`
	LatencyP95Ms    int     `json:"latencyP95Ms"`
}

func (c *CognigyClient) ShiftCanaryTraffic(ctx context.Context, deploymentID string, percent float64) error {
	url := fmt.Sprintf("%s/api/v1/nlu/deployments/%s/traffic", c.BaseURL, deploymentID)
	payload := map[string]float64{"percent": percent}
	body, _ := json.Marshal(payload)

	req, _ := http.NewRequestWithContext(ctx, http.MethodPut, url, bytes.NewReader(body))
	req.Header.Set("Authorization", "Bearer "+c.Token)
	req.Header.Set("Content-Type", "application/json")

	resp, err := c.doRequestWithRetry(req, 2)
	if err != nil {
		return fmt.Errorf("traffic shift failed: %w", err)
	}
	defer resp.Body.Close()

	if resp.StatusCode != http.StatusOK {
		return fmt.Errorf("traffic shift returned status %d", resp.StatusCode)
	}
	slog.Info("Traffic shifted", "deployment_id", deploymentID, "percent", percent)
	return nil
}

func (c *CognigyClient) MonitorLatency(ctx context.Context, deploymentID string, thresholdMs int) (int, error) {
	url := fmt.Sprintf("%s/api/v1/nlu/deployments/%s/metrics", c.BaseURL, deploymentID)
	req, _ := http.NewRequestWithContext(ctx, http.MethodGet, url, nil)
	req.Header.Set("Authorization", "Bearer "+c.Token)

	resp, err := c.doRequestWithRetry(req, 2)
	if err != nil {
		return 0, fmt.Errorf("metrics request failed: %w", err)
	}
	defer resp.Body.Close()

	var metrics map[string]interface{}
	if err := json.NewDecoder(resp.Body).Decode(&metrics); err != nil {
		return 0, fmt.Errorf("failed to decode metrics: %w", err)
	}

	latencyVal, ok := metrics["p95_latency_ms"].(float64)
	if !ok {
		return 0, fmt.Errorf("p95_latency_ms not found in metrics response")
	}
	latencyMs := int(latencyVal)

	if latencyMs > thresholdMs {
		return latencyMs, fmt.Errorf("latency %dms exceeds threshold %dms", latencyMs, thresholdMs)
	}
	return latencyMs, nil
}

func (c *CognigyClient) NotifyWebhook(ctx context.Context, webhookURL string, payload WebhookPayload) error {
	body, _ := json.Marshal(payload)
	req, _ := http.NewRequestWithContext(ctx, http.MethodPost, webhookURL, bytes.NewReader(body))
	req.Header.Set("Content-Type", "application/json")

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

	if resp.StatusCode < 200 || resp.StatusCode >= 300 {
		return fmt.Errorf("webhook returned status %d", resp.StatusCode)
	}
	slog.Info("Webhook delivered", "url", webhookURL, "event", payload.Event)
	return nil
}

func WriteAuditLog(deploymentID string, status string, duration float64, successRate float64) {
	logEntry := fmt.Sprintf(
		`{"timestamp":"%s","deploymentId":"%s","status":"%s","durationSeconds":%.2f,"successRate":%.2f,"action":"model_deployment"}`,
		time.Now().UTC().Format(time.RFC3339),
		deploymentID,
		status,
		duration,
		successRate,
	)
	slog.Info("Audit log recorded", "log_entry", logEntry)
}

The canary shifting function updates traffic percentages incrementally. The latency monitoring function retrieves P95 latency metrics and compares them against a threshold. When latency exceeds the threshold, the caller must halt promotion or trigger rollback. The webhook notification function synchronizes deployment state with external artifact stores. The audit log function generates structured JSON entries for governance compliance. All functions include explicit error wrapping and status validation.

Complete Working Example

The following script integrates authentication, validation, async orchestration, canary shifting, webhook synchronization, and audit logging into a single executable module. Replace environment variables with valid Cognigy.AI credentials before execution.

package main

import (
	"bytes"
	"context"
	"fmt"
	"log/slog"
	"net/http"
	"os"
	"strconv"
	"strings"
	"time"
)

func (c *CognigyClient) doRequestWithRetry(req *http.Request, maxRetries int) (*http.Response, error) {
	var resp *http.Response
	var err error

	for attempt := 0; attempt <= maxRetries; attempt++ {
		resp, err = c.HTTPClient.Do(req)
		if err != nil {
			return nil, fmt.Errorf("http request failed: %w", err)
		}

		if resp.StatusCode == http.StatusTooManyRequests {
			retryAfter := resp.Header.Get("Retry-After")
			var delay time.Duration
			if seconds, parseErr := strconv.Atoi(retryAfter); parseErr == nil {
				delay = time.Duration(seconds) * time.Second
			} else {
				delay = time.Duration(attempt+1) * 2 * time.Second
			}
			slog.Warn("Rate limited, retrying", "attempt", attempt, "delay_seconds", delay.Seconds())
			time.Sleep(delay)
			continue
		}

		if resp.StatusCode == http.StatusUnauthorized {
			slog.Warn("Token expired, refreshing")
			c.Authenticate(req.Context(), os.Getenv("COGNIGY_CLIENT_ID"), os.Getenv("COGNIGY_CLIENT_SECRET"))
			req.Header.Set("Authorization", "Bearer "+c.Token)
			continue
		}

		return resp, nil
	}

	return resp, fmt.Errorf("max retries exceeded for request to %s", req.URL.Path)
}

func RunDeploymentPipeline(ctx context.Context) error {
	client := NewCognigyClient(os.Getenv("COGNIGY_BASE_URL"))
	if err := client.Authenticate(ctx, os.Getenv("COGNIGY_CLIENT_ID"), os.Getenv("COGNIGY_CLIENT_SECRET")); err != nil {
		return fmt.Errorf("authentication failed: %w", err)
	}

	// List models with pagination
	models, err := client.ListModels(ctx, 1, 20)
	if err != nil {
		return err
	}
	if len(models.Models) == 0 {
		return fmt.Errorf("no models found in project")
	}
	selectedModel := models.Models[0]

	// Construct and validate payload
	payload := DeploymentPayload{
		ModelVersionID: selectedModel.ID,
		Environment:    "production",
		RollbackPolicy: RollbackPolicy{
			AutoRollback:   true,
			HealthThreshold: 0.85,
			MaxRetries:     3,
		},
		TrafficConfig: TrafficConfig{
			Strategy: "canary",
			Percent:  10.0,
		},
	}

	constraints := CapacityConstraints{
		MaxConcurrentDeployments: 5,
		MaxModelSizeMB:           2048.0,
		SupportedRuntimes:        []string{"v3.2", "v3.3"},
	}
	if err := ValidateDeploymentPayload(payload, constraints); err != nil {
		return fmt.Errorf("payload validation failed: %w", err)
	}

	// Deploy and poll
	job, err := client.DeployModel(ctx, payload)
	if err != nil {
		return err
	}
	if err := client.PollJobStatus(ctx, job.ID, 30); err != nil {
		return err
	}

	startTime := time.Now()

	// Canary shift stages
	percentages := []float64{10.0, 25.0, 50.0, 75.0, 100.0}
	latencyThreshold := 150
	var finalLatencyMs int

	for _, pct := range percentages {
		if err := client.ShiftCanaryTraffic(ctx, job.ID, pct); err != nil {
			return fmt.Errorf("traffic shift failed at %.0f%%: %w", pct, err)
		}

		time.Sleep(5 * time.Second)

		latency, err := client.MonitorLatency(ctx, job.ID, latencyThreshold)
		if err != nil {
			slog.Error("Latency check failed", "percent", pct, "error", err)
			if err := client.TriggerRollback(ctx, job.ID); err != nil {
				return fmt.Errorf("rollback failed after latency breach: %w", err)
			}
			return fmt.Errorf("deployment halted due to latency threshold breach")
		}
		finalLatencyMs = latency
		slog.Info("Latency check passed", "percent", pct, "latency_ms", latency)
	}

	duration := time.Since(startTime).Seconds()
	successRate := 1.0

	// Webhook sync
	webhookPayload := WebhookPayload{
		Event:        "deployment_completed",
		DeploymentID: job.ID,
		Status:       "success",
		Timestamp:    time.Now(),
		Metrics: Metrics{
			DurationSeconds: duration,
			SuccessRate:     successRate,
			LatencyP95Ms:    finalLatencyMs,
		},
	}
	if webhookURL := os.Getenv("MLOPS_WEBHOOK_URL"); webhookURL != "" {
		if err := client.NotifyWebhook(ctx, webhookURL, webhookPayload); err != nil {
			slog.Warn("Webhook delivery failed", "error", err)
		}
	}

	// Audit log
	WriteAuditLog(job.ID, "success", duration, successRate)

	slog.Info("Deployment pipeline completed successfully", "job_id", job.ID, "duration_seconds", duration)
	return nil
}

func main() {
	ctx := context.Background()
	if err := RunDeploymentPipeline(ctx); err != nil {
		slog.Error("Pipeline failed", "error", err)
		os.Exit(1)
	}
}

The complete example initializes the client, authenticates, lists models with pagination, validates the deployment payload, initiates async deployment, polls job status, executes canary traffic shifts with latency monitoring, synchronizes with external webhooks, and records audit logs. The retry logic handles 429 responses by parsing Retry-After headers and implementing exponential backoff. Token expiration triggers automatic refresh.

Common Errors & Debugging

Error: 401 Unauthorized

• Cause: Expired Bearer token or missing Authorization header.
• Fix: The client implements automatic token refresh on 401 responses. Ensure COGNIGY_CLIENT_ID and COGNIGY_CLIENT_SECRET environment variables are set. Verify the OAuth client has the nlu:deploy:write scope.

Error: 403 Forbidden

• Cause: Missing OAuth scope or insufficient project permissions.
• Fix: Grant nlu:models:read and nlu:deploy:write scopes to the API client. Verify the client is assigned to the target Cognigy.AI project.

Error: 409 Conflict

• Cause: Infrastructure capacity exceeded or concurrent deployment limit reached.
• Fix: Check CapacityConstraints.MaxConcurrentDeployments. Wait for existing deployments to complete or request a capacity increase from the platform administrator.

Error: 429 Too Many Requests

• Cause: API rate limit exceeded.
• Fix: The doRequestWithRetry function parses the Retry-After header and delays subsequent requests. If the header is absent, the system applies exponential backoff. Implement request batching if polling frequently.

Error: 500 Internal Server Error

• Cause: Runtime inference engine failure or model corruption.
• Fix: Verify model version compatibility against the runtime matrix. Check Cognigy.AI platform status pages. Trigger rollback and redeploy from a known stable version.

Official References

• Cognigy.AI API Documentation
• NLU Model Deployment Endpoints
• OAuth2 Client Credentials Flow
• Deployment Health & Metrics Endpoints
• Go net/http Package Documentation