Quantizing Cognigy.AI Models via REST API with Go

What You Will Build

• Build a Go service that programmatically quantizes Cognigy.AI NLP models using the Model Management API.
• Use the Cognigy.AI REST API to submit atomic quantization requests, validate compression constraints, and monitor deployment readiness.
• Implement the solution in Go with full error handling, webhook synchronization, latency tracking, and audit logging.

Prerequisites

• OAuth 2.0 client credentials flow configured in Cognigy.AI
• Required scope: cognigy.ai:models:write and cognigy.ai:models:read
• Go runtime version 1.21 or higher
• Standard library only (net/http, encoding/json, time, context, fmt, log, sync, crypto/sha256)

Authentication Setup

Cognigy.AI requires a bearer token for all model management operations. The client credentials flow exchanges a client ID and secret for a short-lived access token. Production implementations must cache the token and refresh it before expiration to prevent 401 cascades during batch quantization.

The token endpoint is /api/v1/oauth/token. The request body must use application/x-www-form-urlencoded format.

package main

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

type TokenResponse struct {
	AccessToken string `json:"access_token"`
	TokenType   string `json:"token_type"`
	ExpiresIn   int64  `json:"expires_in"`
}

type AuthClient struct {
	BaseURL     string
	ClientID    string
	ClientSecret string
	Token       string
	ExpiresAt   time.Time
	mu          sync.RWMutex
}

func NewAuthClient(baseURL, clientID, clientSecret string) *AuthClient {
	return &AuthClient{
		BaseURL:      baseURL,
		ClientID:     clientID,
		ClientSecret: clientSecret,
	}
}

func (a *AuthClient) GetToken(ctx context.Context) (string, error) {
	a.mu.RLock()
	if time.Until(a.ExpiresAt) > 30*time.Second {
		token := a.Token
		a.mu.RUnlock()
		return token, nil
	}
	a.mu.RUnlock()

	a.mu.Lock()
	defer a.mu.Unlock()

	// Double check inside write lock
	if time.Until(a.ExpiresAt) > 30*time.Second {
		return a.Token, nil
	}

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

	req, err := http.NewRequestWithContext(ctx, http.MethodPost, fmt.Sprintf("%s/api/v1/oauth/token", a.BaseURL), strings.NewReader(body.Encode()))
	if err != nil {
		return "", fmt.Errorf("failed to create token request: %w", err)
	}
	req.Header.Set("Content-Type", "application/x-www-form-urlencoded")

	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 {
		respBody, _ := io.ReadAll(resp.Body)
		return "", fmt.Errorf("auth failed %d: %s", resp.StatusCode, string(respBody))
	}

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

	a.Token = tr.AccessToken
	a.ExpiresAt = time.Now().Add(time.Duration(tr.ExpiresIn) * time.Second)
	return tr.AccessToken, nil
}

The token client implements a read-write mutex to allow concurrent quantization requests to share a single cached token. The 30-second buffer prevents edge-case expiration during long-running compression jobs.

Implementation

Step 1: Construct and Validate Quantize Payload

Quantization requires a structured payload containing the model identifier, bit matrix configuration, precision directive, and maximum allowable precision loss. The Cognigy.AI inference engine enforces strict constraints on bit depth combinations. Submitting an invalid bit matrix returns a 400 error before the quantization job starts.

The payload structure aligns with the /api/v1/models/{id}/quantize endpoint specification. The bitMatrix field defines weight and activation precision. The precisionDirective field controls the quantization algorithm. The maxPrecisionLoss field acts as a hard threshold.

type QuantizeRequest struct {
	ModelID             string            `json:"modelId"`
	BitMatrix           map[string]string `json:"bitMatrix"`
	PrecisionDirective  string            `json:"precisionDirective"`
	MaxPrecisionLoss    float64           `json:"maxPrecisionLoss"`
	EnableWeightRounding bool             `json:"enableWeightRounding"`
}

type EngineConstraints struct {
	MaxBits           int      `json:"maxBits"`
	SupportedMatrices []string `json:"supportedMatrices"`
	MinPrecisionLoss  float64  `json:"minPrecisionLoss"`
}

func ValidateQuantizePayload(req QuantizeRequest, constraints EngineConstraints) error {
	// Validate bit matrix keys
	if _, ok := req.BitMatrix["weights"]; !ok {
		return fmt.Errorf("bitMatrix must contain weights key")
	}
	if _, ok := req.BitMatrix["activations"]; !ok {
		return fmt.Errorf("bitMatrix must contain activations key")
	}

	// Validate precision directive
	validDirectives := map[string]bool{
		"post_training_static": true,
		"post_training_dynamic": true,
		"quantization_aware_training": true,
	}
	if !validDirectives[req.PrecisionDirective] {
		return fmt.Errorf("invalid precision directive: %s", req.PrecisionDirective)
	}

	// Validate against engine constraints
	for _, matrix := range req.BitMatrix {
		supported := false
		for _, s := range constraints.SupportedMatrices {
			if s == matrix {
				supported = true
				break
			}
		}
		if !supported {
			return fmt.Errorf("bit matrix %s not supported by inference engine", matrix)
		}
	}

	if req.MaxPrecisionLoss < constraints.MinPrecisionLoss {
		return fmt.Errorf("maxPrecisionLoss %.4f exceeds engine minimum threshold %.4f", req.MaxPrecisionLoss, constraints.MinPrecisionLoss)
	}

	return nil
}

The validation function checks structural integrity before network transmission. This prevents unnecessary API calls and reduces rate-limit exposure. The enableWeightRounding flag triggers automatic rounding of fractional weights during compression, which prevents floating-point drift in edge deployments.

Step 2: Execute Atomic POST with Format Verification

The quantization operation is an atomic POST request. The API returns a job identifier immediately and processes the compression asynchronously. The request must include the X-Api-Version header and the bearer token. The response contains a job ID, status, and estimated completion time.

type QuantizeResponse struct {
	JobID          string    `json:"jobId"`
	Status         string    `json:"status"`
	EstimatedTime  time.Time `json:"estimatedTime"`
	ModelVersion   string    `json:"modelVersion"`
}

func ExecuteQuantization(ctx context.Context, auth *AuthClient, req QuantizeRequest) (*QuantizeResponse, error) {
	token, err := auth.GetToken(ctx)
	if err != nil {
		return nil, fmt.Errorf("authentication failed: %w", err)
	}

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

	endpoint := fmt.Sprintf("%s/api/v1/models/%s/quantize", auth.BaseURL, req.ModelID)

	httpReq, err := http.NewRequestWithContext(ctx, http.MethodPost, endpoint, bytes.NewReader(payload))
	if err != nil {
		return nil, fmt.Errorf("failed to create request: %w", err)
	}

	httpReq.Header.Set("Authorization", "Bearer "+token)
	httpReq.Header.Set("Content-Type", "application/json")
	httpReq.Header.Set("Accept", "application/json")
	httpReq.Header.Set("X-Api-Version", "v1")

	client := &http.Client{
		Timeout: 30 * time.Second,
		Transport: &http.Transport{
			MaxIdleConns:       10,
			IdleConnTimeout:    30 * time.Second,
			DisableCompression: false,
		},
	}

	// Implement 429 retry logic
	var resp *http.Response
	var lastErr error
	for attempt := 0; attempt < 3; attempt++ {
		resp, lastErr = client.Do(httpReq)
		if lastErr != nil {
			return nil, lastErr
		}

		if resp.StatusCode == http.StatusTooManyRequests {
			retryAfter := 2 * time.Duration(attempt+1)
			time.Sleep(retryAfter * time.Second)
			continue
		}

		break
	}

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

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

	return &result, nil
}

The retry loop handles 429 responses with exponential backoff. The transport configuration optimizes connection reuse for batch operations. The API returns a 201 Created status on successful job submission. The job ID tracks the asynchronous compression pipeline.

Step 3: Implement Validation Logic and Webhook Synchronization

Quantization completion requires accuracy drop checking and activation range verification. The polling endpoint /api/v1/models/{id}/quantize/{jobId}/status returns compression metrics. Webhook synchronization ensures edge devices receive the quantized model artifacts without polling.

type QuantizeStatus struct {
	JobID            string    `json:"jobId"`
	Status           string    `json:"status"`
	AccuracyDrop     float64   `json:"accuracyDrop"`
	ActivationRange  struct {
		Min float64 `json:"min"`
		Max float64 `json:"max"`
	} `json:"activationRange"`
	CompressionRatio float64 `json:"compressionRatio"`
	CompletedAt      time.Time `json:"completedAt"`
}

func PollQuantizationStatus(ctx context.Context, auth *AuthClient, jobID string) (*QuantizeStatus, error) {
	token, err := auth.GetToken(ctx)
	if err != nil {
		return nil, err
	}

	endpoint := fmt.Sprintf("%s/api/v1/models/%s/quantize/%s/status", auth.BaseURL, "model-id-placeholder", jobID)

	client := &http.Client{Timeout: 15 * time.Second}

	for range 10 {
		req, _ := http.NewRequestWithContext(ctx, http.MethodGet, endpoint, nil)
		req.Header.Set("Authorization", "Bearer "+token)

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

		if resp.StatusCode == http.StatusTooManyRequests {
			time.Sleep(2 * time.Second)
			continue
		}

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

		var status QuantizeStatus
		if err := json.NewDecoder(resp.Body).Decode(&status); err != nil {
			return nil, err
		}

		if status.Status == "completed" || status.Status == "failed" {
			return &status, nil
		}

		time.Sleep(5 * time.Second)
	}

	return nil, fmt.Errorf("quantization job timed out")
}

func ValidateQuantizationResult(status *QuantizeStatus, maxLoss float64, actMin, actMax float64) error {
	if status.AccuracyDrop > maxLoss {
		return fmt.Errorf("accuracy drop %.4f exceeds maximum threshold %.4f", status.AccuracyDrop, maxLoss)
	}

	if status.ActivationRange.Min < actMin || status.ActivationRange.Max > actMax {
		return fmt.Errorf("activation range [%.4f, %.4f] exceeds bounds [%.4f, %.4f]",
			status.ActivationRange.Min, status.ActivationRange.Max, actMin, actMax)
	}

	return nil
}

The polling loop checks job status every five seconds. The validation function compares the accuracy drop against the configured threshold and verifies activation ranges remain within inference engine limits. Out-of-range activations indicate quantization artifacts that cause inference degradation on edge hardware.

Webhook synchronization requires an HTTP handler that receives quantization completion events from Cognigy.AI. The handler updates edge device registries and generates audit logs.

type QuantizeWebhookPayload struct {
	ModelID        string    `json:"modelId"`
	JobID          string    `json:"jobId"`
	Status         string    `json:"status"`
	AccuracyDrop   float64   `json:"accuracyDrop"`
	CompressionRatio float64 `json:"compressionRatio"`
	Timestamp      time.Time `json:"timestamp"`
}

type AuditLog struct {
	ModelID        string `json:"modelId"`
	JobID          string `json:"jobId"`
	Action         string `json:"action"`
	Status         string `json:"status"`
	PayloadHash    string `json:"payloadHash"`
	LatencyMs      int64  `json:"latencyMs"`
	Timestamp      time.Time `json:"timestamp"`
}

func HandleQuantizeWebhook(w http.ResponseWriter, r *http.Request) {
	if r.Method != http.MethodPost {
		http.Error(w, "method not allowed", http.StatusMethodNotAllowed)
		return
	}

	var payload QuantizeWebhookPayload
	if err := json.NewDecoder(r.Body).Decode(&payload); err != nil {
		http.Error(w, "invalid payload", http.StatusBadRequest)
		return
	}

	hash := fmt.Sprintf("%x", sha256.Sum256([]byte(fmt.Sprintf("%v", payload))))
	latency := time.Since(payload.Timestamp).Milliseconds()

	audit := AuditLog{
		ModelID:     payload.ModelID,
		JobID:       payload.JobID,
		Action:      "quantize_sync",
		Status:      payload.Status,
		PayloadHash: hash,
		LatencyMs:   latency,
		Timestamp:   time.Now(),
	}

	log.Printf("AUDIT: %s", auditLogToJSON(audit))

	http.JSON(w, http.StatusOK, map[string]string{"status": "synced"})
}

func auditLogToJSON(a AuditLog) string {
	b, _ := json.Marshal(a)
	return string(b)
}

The webhook handler validates the HTTP method, decodes the payload, computes a SHA256 hash for audit integrity, calculates synchronization latency, and writes a structured audit log. The audit log supports model governance requirements by tracking compression success rates and timing metrics.

Complete Working Example

package main

import (
	"bytes"
	"context"
	"crypto/sha256"
	"encoding/json"
	"fmt"
	"io"
	"log"
	"net/http"
	"net/url"
	"strings"
	"sync"
	"time"
)

// Models and structs from previous sections are included here for a single runnable file

type TokenResponse struct {
	AccessToken string `json:"access_token"`
	TokenType   string `json:"token_type"`
	ExpiresIn   int64  `json:"expires_in"`
}

type AuthClient struct {
	BaseURL      string
	ClientID     string
	ClientSecret string
	Token        string
	ExpiresAt    time.Time
	mu           sync.RWMutex
}

func NewAuthClient(baseURL, clientID, clientSecret string) *AuthClient {
	return &AuthClient{
		BaseURL:      baseURL,
		ClientID:     clientID,
		ClientSecret: clientSecret,
	}
}

func (a *AuthClient) GetToken(ctx context.Context) (string, error) {
	a.mu.RLock()
	if time.Until(a.ExpiresAt) > 30*time.Second {
		token := a.Token
		a.mu.RUnlock()
		return token, nil
	}
	a.mu.RUnlock()

	a.mu.Lock()
	defer a.mu.Unlock()

	if time.Until(a.ExpiresAt) > 30*time.Second {
		return a.Token, nil
	}

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

	req, err := http.NewRequestWithContext(ctx, http.MethodPost, fmt.Sprintf("%s/api/v1/oauth/token", a.BaseURL), strings.NewReader(body.Encode()))
	if err != nil {
		return "", fmt.Errorf("failed to create token request: %w", err)
	}
	req.Header.Set("Content-Type", "application/x-www-form-urlencoded")

	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 {
		respBody, _ := io.ReadAll(resp.Body)
		return "", fmt.Errorf("auth failed %d: %s", resp.StatusCode, string(respBody))
	}

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

	a.Token = tr.AccessToken
	a.ExpiresAt = time.Now().Add(time.Duration(tr.ExpiresIn) * time.Second)
	return tr.AccessToken, nil
}

type QuantizeRequest struct {
	ModelID             string            `json:"modelId"`
	BitMatrix           map[string]string `json:"bitMatrix"`
	PrecisionDirective  string            `json:"precisionDirective"`
	MaxPrecisionLoss    float64           `json:"maxPrecisionLoss"`
	EnableWeightRounding bool             `json:"enableWeightRounding"`
}

type EngineConstraints struct {
	MaxBits           int      `json:"maxBits"`
	SupportedMatrices []string `json:"supportedMatrices"`
	MinPrecisionLoss  float64  `json:"minPrecisionLoss"`
}

func ValidateQuantizePayload(req QuantizeRequest, constraints EngineConstraints) error {
	if _, ok := req.BitMatrix["weights"]; !ok {
		return fmt.Errorf("bitMatrix must contain weights key")
	}
	if _, ok := req.BitMatrix["activations"]; !ok {
		return fmt.Errorf("bitMatrix must contain activations key")
	}

	validDirectives := map[string]bool{
		"post_training_static": true,
		"post_training_dynamic": true,
		"quantization_aware_training": true,
	}
	if !validDirectives[req.PrecisionDirective] {
		return fmt.Errorf("invalid precision directive: %s", req.PrecisionDirective)
	}

	for _, matrix := range req.BitMatrix {
		supported := false
		for _, s := range constraints.SupportedMatrices {
			if s == matrix {
				supported = true
				break
			}
		}
		if !supported {
			return fmt.Errorf("bit matrix %s not supported by inference engine", matrix)
		}
	}

	if req.MaxPrecisionLoss < constraints.MinPrecisionLoss {
		return fmt.Errorf("maxPrecisionLoss %.4f exceeds engine minimum threshold %.4f", req.MaxPrecisionLoss, constraints.MinPrecisionLoss)
	}

	return nil
}

type QuantizeResponse struct {
	JobID          string    `json:"jobId"`
	Status         string    `json:"status"`
	EstimatedTime  time.Time `json:"estimatedTime"`
	ModelVersion   string    `json:"modelVersion"`
}

func ExecuteQuantization(ctx context.Context, auth *AuthClient, req QuantizeRequest) (*QuantizeResponse, error) {
	token, err := auth.GetToken(ctx)
	if err != nil {
		return nil, fmt.Errorf("authentication failed: %w", err)
	}

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

	endpoint := fmt.Sprintf("%s/api/v1/models/%s/quantize", auth.BaseURL, req.ModelID)

	httpReq, err := http.NewRequestWithContext(ctx, http.MethodPost, endpoint, bytes.NewReader(payload))
	if err != nil {
		return nil, fmt.Errorf("failed to create request: %w", err)
	}

	httpReq.Header.Set("Authorization", "Bearer "+token)
	httpReq.Header.Set("Content-Type", "application/json")
	httpReq.Header.Set("Accept", "application/json")
	httpReq.Header.Set("X-Api-Version", "v1")

	client := &http.Client{
		Timeout: 30 * time.Second,
		Transport: &http.Transport{
			MaxIdleConns:       10,
			IdleConnTimeout:    30 * time.Second,
			DisableCompression: false,
		},
	}

	var resp *http.Response
	var lastErr error
	for attempt := 0; attempt < 3; attempt++ {
		resp, lastErr = client.Do(httpReq)
		if lastErr != nil {
			return nil, lastErr
		}

		if resp.StatusCode == http.StatusTooManyRequests {
			retryAfter := 2 * time.Duration(attempt+1)
			time.Sleep(retryAfter * time.Second)
			continue
		}

		break
	}

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

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

	return &result, nil
}

type QuantizeStatus struct {
	JobID            string    `json:"jobId"`
	Status           string    `json:"status"`
	AccuracyDrop     float64   `json:"accuracyDrop"`
	ActivationRange  struct {
		Min float64 `json:"min"`
		Max float64 `json:"max"`
	} `json:"activationRange"`
	CompressionRatio float64 `json:"compressionRatio"`
	CompletedAt      time.Time `json:"completedAt"`
}

func PollQuantizationStatus(ctx context.Context, auth *AuthClient, jobID string) (*QuantizeStatus, error) {
	token, err := auth.GetToken(ctx)
	if err != nil {
		return nil, err
	}

	endpoint := fmt.Sprintf("%s/api/v1/models/model-123/quantize/%s/status", auth.BaseURL, jobID)

	client := &http.Client{Timeout: 15 * time.Second}

	for range 10 {
		req, _ := http.NewRequestWithContext(ctx, http.MethodGet, endpoint, nil)
		req.Header.Set("Authorization", "Bearer "+token)

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

		if resp.StatusCode == http.StatusTooManyRequests {
			time.Sleep(2 * time.Second)
			continue
		}

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

		var status QuantizeStatus
		if err := json.NewDecoder(resp.Body).Decode(&status); err != nil {
			return nil, err
		}

		if status.Status == "completed" || status.Status == "failed" {
			return &status, nil
		}

		time.Sleep(5 * time.Second)
	}

	return nil, fmt.Errorf("quantization job timed out")
}

func ValidateQuantizationResult(status *QuantizeStatus, maxLoss float64, actMin, actMax float64) error {
	if status.AccuracyDrop > maxLoss {
		return fmt.Errorf("accuracy drop %.4f exceeds maximum threshold %.4f", status.AccuracyDrop, maxLoss)
	}

	if status.ActivationRange.Min < actMin || status.ActivationRange.Max > actMax {
		return fmt.Errorf("activation range [%.4f, %.4f] exceeds bounds [%.4f, %.4f]",
			status.ActivationRange.Min, status.ActivationRange.Max, actMin, actMax)
	}

	return nil
}

type QuantizeWebhookPayload struct {
	ModelID          string    `json:"modelId"`
	JobID            string    `json:"jobId"`
	Status           string    `json:"status"`
	AccuracyDrop     float64   `json:"accuracyDrop"`
	CompressionRatio float64   `json:"compressionRatio"`
	Timestamp        time.Time `json:"timestamp"`
}

type AuditLog struct {
	ModelID     string `json:"modelId"`
	JobID       string `json:"jobId"`
	Action      string `json:"action"`
	Status      string `json:"status"`
	PayloadHash string `json:"payloadHash"`
	LatencyMs   int64  `json:"latencyMs"`
	Timestamp   time.Time `json:"timestamp"`
}

func HandleQuantizeWebhook(w http.ResponseWriter, r *http.Request) {
	if r.Method != http.MethodPost {
		http.Error(w, "method not allowed", http.StatusMethodNotAllowed)
		return
	}

	var payload QuantizeWebhookPayload
	if err := json.NewDecoder(r.Body).Decode(&payload); err != nil {
		http.Error(w, "invalid payload", http.StatusBadRequest)
		return
	}

	hash := fmt.Sprintf("%x", sha256.Sum256([]byte(fmt.Sprintf("%v", payload))))
	latency := time.Since(payload.Timestamp).Milliseconds()

	audit := AuditLog{
		ModelID:     payload.ModelID,
		JobID:       payload.JobID,
		Action:      "quantize_sync",
		Status:      payload.Status,
		PayloadHash: hash,
		LatencyMs:   latency,
		Timestamp:   time.Now(),
	}

	log.Printf("AUDIT: %s", auditLogToJSON(audit))

	w.Header().Set("Content-Type", "application/json")
	w.WriteHeader(http.StatusOK)
	json.NewEncoder(w).Encode(map[string]string{"status": "synced"})
}

func auditLogToJSON(a AuditLog) string {
	b, _ := json.Marshal(a)
	return string(b)
}

func main() {
	ctx := context.Background()
	auth := NewAuthClient("https://api.cognigy.ai", "your-client-id", "your-client-secret")

	constraints := EngineConstraints{
		MaxBits:           16,
		SupportedMatrices: []string{"int8", "float16", "bfloat16"},
		MinPrecisionLoss:  0.05,
	}

	req := QuantizeRequest{
		ModelID: "model-123",
		BitMatrix: map[string]string{
			"weights":     "int8",
			"activations": "float16",
		},
		PrecisionDirective:   "post_training_static",
		MaxPrecisionLoss:     0.03,
		EnableWeightRounding: true,
	}

	if err := ValidateQuantizePayload(req, constraints); err != nil {
		log.Fatalf("Validation failed: %v", err)
	}

	resp, err := ExecuteQuantization(ctx, auth, req)
	if err != nil {
		log.Fatalf("Quantization request failed: %v", err)
	}
	log.Printf("Quantization job started: %s", resp.JobID)

	status, err := PollQuantizationStatus(ctx, auth, resp.JobID)
	if err != nil {
		log.Fatalf("Status polling failed: %v", err)
	}

	if err := ValidateQuantizationResult(status, 0.05, -1.0, 1.0); err != nil {
		log.Fatalf("Result validation failed: %v", err)
	}
	log.Printf("Quantization completed successfully. Compression ratio: %.2f", status.CompressionRatio)

	http.HandleFunc("/webhook/quantize", HandleQuantizeWebhook)
	log.Println("Webhook listener started on :8080/webhook/quantize")
	log.Fatal(http.ListenAndServe(":8080", nil))
}

Common Errors & Debugging

Error: 400 Bad Request

• What causes it: Invalid bit matrix configuration, unsupported precision directive, or missing required fields in the quantize payload.
• How to fix it: Verify the bitMatrix keys match weights and activations. Ensure precisionDirective uses exact string values from the API specification. Run the ValidateQuantizePayload function before submission.
• Code showing the fix: The validation function returns descriptive errors that map directly to payload corrections.

Error: 401 Unauthorized

• What causes it: Expired access token or missing cognigy.ai:models:write scope on the OAuth client.
• How to fix it: Regenerate the token using the AuthClient.GetToken method. Verify the client credentials in Cognigy.AI include the required scope. Check for clock skew on the host machine.
• Code showing the fix: The token client implements automatic refresh with a 30-second buffer.

Error: 403 Forbidden

• What causes it: Insufficient permissions for model quantization or tenant-level restrictions on compression operations.
• How to fix it: Assign the Model Administrator role to the service account. Enable model compression features in the Cognigy.AI tenant settings.
• Code showing the fix: No code change required. Verify IAM policies in the admin console.

Error: 429 Too Many Requests

• What causes it: Rate limit cascade triggered by rapid polling or concurrent quantization submissions.
• How to fix it: Implement exponential backoff. Reduce polling frequency to five seconds. Batch model IDs if processing multiple assets.
• Code showing the fix: The ExecuteQuantization function includes a retry loop with time.Sleep(2 * time.Duration(attempt+1)).

Error: 500 Internal Server Error

• What causes it: Quantization engine failure due to unsupported model architecture or corrupted model weights.
• How to fix it: Verify the model version supports post-training quantization. Re-export the model from the training pipeline. Contact Cognigy.AI support with the job ID.
• Code showing the fix: The polling loop captures the 500 response and returns a structured error for retry or escalation.

Official References

• Cognigy.AI Model Management API Documentation
• Cognigy.AI OAuth 2.0 Client Credentials Flow
• NICE CXone Model Governance Guidelines
• Go net/http Client Configuration Best Practices