Injecting NICE CXone Agent Assist Sentiment Scores via the Agent Assist API with Go

Injecting NICE CXone Agent Assist Sentiment Scores via the Agent Assist API with Go

What You Will Build

  • A Go service that calculates sentiment scores, validates injection constraints, and pushes atomic POST requests to the CXone Agent Assist API.
  • This uses the NICE CXone Agent Assist Injection endpoint (POST /api/v2/agentassist/injections).
  • The tutorial covers Go 1.21 with standard library HTTP clients, structured logging, and concurrency-safe token caching.

Prerequisites

  • OAuth Client ID and Client Secret with scopes: agentassist:injection:write, agentassist:metrics:read
  • CXone API region base URL (e.g., https://api.nicecxone.com or https://usw2.api.nicecxone.com)
  • Go 1.21 or later
  • Standard library packages: net/http, context, encoding/json, time, sync, log/slog, fmt, errors

Authentication Setup

CXone uses the OAuth 2.0 Client Credentials grant. The token must be cached and refreshed before expiration to avoid 401 errors during high-frequency injection loops. The client requests a token with the agentassist:injection:write scope. Token caching prevents unnecessary network calls while ensuring the bearer token remains valid across push iterations.

package main

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

type OAuthConfig struct {
    ClientID     string
    ClientSecret string
    Region       string
}

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

type TokenCache struct {
    mu        sync.Mutex
    token     string
    expiresAt time.Time
}

func (c *TokenCache) Get(ctx context.Context, cfg *OAuthConfig) (string, error) {
    c.mu.Lock()
    defer c.mu.Unlock()

    if c.token != "" && time.Now().Before(c.expiresAt.Add(-30*time.Second)) {
        return c.token, nil
    }

    url := fmt.Sprintf("https://%s.api.nicecxone.com/oauth/token", cfg.Region)
    payload := fmt.Sprintf("grant_type=client_credentials&client_id=%s&client_secret=%s&scope=agentassist:injection:write+agentassist:metrics:read", cfg.ClientID, cfg.ClientSecret)

    req, err := http.NewRequestWithContext(ctx, http.MethodPost, url, bytes.NewBufferString(payload))
    if err != nil {
        return "", fmt.Errorf("failed to create oauth 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("oauth request failed: %w", err)
    }
    defer resp.Body.Close()

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

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

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

Implementation

Step 1: Payload Construction and Constraint Validation

The Agent Assist API requires a structured JSON payload. We construct it with sentiment-ref, agent-matrix, and push-directive fields. Before sending, we validate against agent-constraints and maximum-injection-frequency-per-minute limits to prevent injecting failure. The emotion-classification calculation derives a confidence score based on the raw sentiment value.

package main

import (
    "fmt"
    "time"
)

type SentimentPayload struct {
    SentimentRef  string          `json:"sentiment-ref"`
    AgentMatrix   map[string]float64 `json:"agent-matrix"`
    PushDirective string          `json:"push-directive"`
    Timestamp     time.Time       `json:"timestamp"`
}

type InjectionRequest struct {
    ConversationID string          `json:"conversationId"`
    AgentID        string          `json:"agentId"`
    Payload        SentimentPayload `json:"payload"`
}

type InjectionConstraints struct {
    MaxFrequencyPerMinute int
    NeutralStateThreshold float64
}

func BuildAndValidatePayload(convID, agentID string, score float64, constraints InjectionConstraints, lastInjectionTimes *[]time.Time) (*InjectionRequest, error) {
    now := time.Now()
    cutoff := now.Add(-1 * time.Minute)
    validTimes := []time.Time{}
    
    for _, t := range *lastInjectionTimes {
        if t.After(cutoff) {
            validTimes = append(validTimes, t)
        }
    }
    
    if len(validTimes) >= constraints.MaxFrequencyPerMinute {
        return nil, fmt.Errorf("maximum-injection-frequency-per-minute limit reached: %d/%d", len(validTimes), constraints.MaxFrequencyPerMinute)
    }
    *lastInjectionTimes = append(validTimes, now)

    confidence := 0.0
    if score > 0.7 {
        confidence = 0.95
    } else if score > 0.3 {
        confidence = 0.75
    } else {
        confidence = 0.40
    }

    payload := SentimentPayload{
        SentimentRef: fmt.Sprintf("sentiment-ref-%s-%d", agentID, now.UnixMilli()),
        AgentMatrix: map[string]float64{
            "positive":   score,
            "negative":   1.0 - score,
            "confidence": confidence,
        },
        PushDirective: "immediate-ui-render",
        Timestamp:     now,
    }

    return &InjectionRequest{
        ConversationID: convID,
        AgentID:        agentID,
        Payload:        payload,
    }, nil
}

Step 2: Push Validation Pipeline and Atomic HTTP POST

We implement neutral-state-checking and agent-overload verification pipelines before the POST operation. The HTTP client includes automatic retry logic for 429 responses and format verification for the request body. The injection endpoint does not support pagination because it is a write operation.

package main

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

type SentimentInjector struct {
    baseURL         string
    client          *http.Client
    tokenCache      *TokenCache
    oauthConfig     *OAuthConfig
    constraints     InjectionConstraints
    lastInjectionTimes []time.Time
}

func NewSentimentInjector(baseURL string, cfg *OAuthConfig, constraints InjectionConstraints) *SentimentInjector {
    return &SentimentInjector{
        baseURL:         baseURL,
        client:          &http.Client{Timeout: 15 * time.Second},
        tokenCache:      &TokenCache{},
        oauthConfig:     cfg,
        constraints:     constraints,
        lastInjectionTimes: []time.Time{},
    }
}

func (inj *SentimentInjector) VerifyPushState(payload *SentimentPayload) error {
    if val, ok := payload.AgentMatrix["confidence"]; ok {
        if val < inj.constraints.NeutralStateThreshold {
            return fmt.Errorf("neutral-state-checking failed: confidence %.2f below threshold %.2f", val, inj.constraints.NeutralStateThreshold)
        }
    }

    if val, ok := payload.AgentMatrix["negative"]; ok {
        if val > 0.85 {
            return fmt.Errorf("agent-overload verification triggered: high negative sentiment load detected")
        }
    }
    return nil
}

func (inj *SentimentInjector) PushSentiment(ctx context.Context, req *InjectionRequest) error {
    if err := inj.VerifyPushState(&req.Payload); err != nil {
        return fmt.Errorf("push validation failed: %w", err)
    }

    token, err := inj.tokenCache.Get(ctx, inj.oauthConfig)
    if err != nil {
        return fmt.Errorf("token retrieval failed: %w", err)
    }

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

    url := fmt.Sprintf("%s/api/v2/agentassist/injections", inj.baseURL)
    startTime := time.Now()

    maxRetries := 3
    for attempt := 0; attempt < maxRetries; attempt++ {
        reqObj, err := http.NewRequestWithContext(ctx, http.MethodPost, url, bytes.NewBuffer(jsonData))
        if err != nil {
            return fmt.Errorf("failed to create request: %w", err)
        }
        reqObj.Header.Set("Content-Type", "application/json")
        reqObj.Header.Set("Authorization", "Bearer "+token)
        reqObj.Header.Set("X-Request-ID", fmt.Sprintf("inject-%d-%d", startTime.UnixMilli(), attempt))

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

        switch resp.StatusCode {
        case http.StatusOK, http.StatusCreated:
            latency := time.Since(startTime)
            slog.Info("sentiment injection successful",
                "conversationId", req.ConversationID,
                "agentId", req.AgentID,
                "latency_ms", latency.Milliseconds(),
                "status", resp.StatusCode)
            return nil
        case http.StatusTooManyRequests:
            retryAfter := 2 * time.Second
            if ra := resp.Header.Get("Retry-After"); ra != "" {
                slog.Info("retry-after header present", "value", ra)
            }
            slog.Warn("rate limited, retrying", "attempt", attempt, "wait", retryAfter)
            time.Sleep(retryAfter)
        case http.StatusUnauthorized:
            inj.tokenCache.mu.Lock()
            inj.tokenCache.token = ""
            inj.tokenCache.mu.Unlock()
            token, err = inj.tokenCache.Get(ctx, inj.oauthConfig)
            if err != nil {
                return fmt.Errorf("token refresh failed: %w", err)
            }
            reqObj.Header.Set("Authorization", "Bearer "+token)
        default:
            return fmt.Errorf("api error: status %d", resp.StatusCode)
        }
    }
    return fmt.Errorf("failed after %d retries", maxRetries)
}

Step 3: Metrics Tracking, Audit Logging, and Webhook Sync

We wrap the injection call with latency tracking, success rate calculation, and audit log generation. We also expose a webhook handler to synchronize with an external NLP service. This ensures alignment between your internal emotion engine and the CXone UI rendering pipeline.

package main

import (
    "encoding/json"
    "log/slog"
    "net/http"
    "sync"
    "time"
)

type InjectionMetrics struct {
    mu            sync.Mutex
    TotalRequests int
    Successful    int
    LastLatency   time.Duration
}

func (m *InjectionMetrics) Record(success bool, latency time.Duration) {
    m.mu.Lock()
    defer m.mu.Unlock()
    m.TotalRequests++
    if success {
        m.Successful++
        m.LastLatency = latency
    }
}

func (m *InjectionMetrics) GetSuccessRate() float64 {
    m.mu.Lock()
    defer m.mu.Unlock()
    if m.TotalRequests == 0 {
        return 0
    }
    return float64(m.Successful) / float64(m.TotalRequests)
}

type AuditLog struct {
    Timestamp    time.Time `json:"timestamp"`
    Conversation string    `json:"conversation_id"`
    Agent        string    `json:"agent_id"`
    SentimentRef string    `json:"sentiment_ref"`
    Success      bool      `json:"success"`
    LatencyMs    int64     `json:"latency_ms"`
    Error        string    `json:"error,omitempty"`
}

func GenerateAuditLog(req *InjectionRequest, success bool, latency time.Duration, errMsg string) AuditLog {
    return AuditLog{
        Timestamp:    time.Now(),
        Conversation: req.ConversationID,
        Agent:        req.AgentID,
        SentimentRef: req.Payload.SentimentRef,
        Success:      success,
        LatencyMs:    latency.Milliseconds(),
        Error:        errMsg,
    }
}

func (inj *SentimentInjector) InjectWithTracking(ctx context.Context, req *InjectionRequest) {
    start := time.Now()
    err := inj.PushSentiment(ctx, req)
    latency := time.Since(start)

    logEntry := GenerateAuditLog(req, err == nil, latency, "")
    if err != nil {
        logEntry.Error = err.Error()
        slog.Error("injection failed", "audit", logEntry)
    } else {
        slog.Info("audit log generated", "audit", logEntry)
    }
}

func HandleNLPWebhook(w http.ResponseWriter, r *http.Request, injector *SentimentInjector) {
    var payload struct {
        ConversationID string  `json:"conversationId"`
        AgentID        string  `json:"agentId"`
        RawScore       float64 `json:"rawScore"`
    }
    if err := json.NewDecoder(r.Body).Decode(&payload); err != nil {
        http.Error(w, "invalid payload", http.StatusBadRequest)
        return
    }

    req, err := BuildAndValidatePayload(payload.ConversationID, payload.AgentID, payload.RawScore, injector.constraints, &injector.lastInjectionTimes)
    if err != nil {
        slog.Warn("validation failed", "error", err)
        http.Error(w, err.Error(), http.StatusUnprocessableEntity)
        return
    }

    ctx := r.Context()
    injector.InjectWithTracking(ctx, req)
    w.WriteHeader(http.StatusAccepted)
}

Complete Working Example

The following script combines authentication, payload construction, validation pipelines, HTTP pushing, metrics tracking, and webhook exposure into a single executable module. Replace the placeholder credentials before running.

package main

import (
    "encoding/json"
    "fmt"
    "log/slog"
    "net/http"
    "os"
    "time"
)

func main() {
    cfg := &OAuthConfig{
        ClientID:     os.Getenv("CXONE_CLIENT_ID"),
        ClientSecret: os.Getenv("CXONE_CLIENT_SECRET"),
        Region:       os.Getenv("CXONE_REGION"),
    }

    if cfg.ClientID == "" || cfg.ClientSecret == "" || cfg.Region == "" {
        slog.Error("missing required environment variables: CXONE_CLIENT_ID, CXONE_CLIENT_SECRET, CXONE_REGION")
        os.Exit(1)
    }

    constraints := InjectionConstraints{
        MaxFrequencyPerMinute: 15,
        NeutralStateThreshold: 0.60,
    }

    injector := NewSentimentInjector(fmt.Sprintf("https://%s.api.nicecxone.com", cfg.Region), cfg, constraints)

    // Expose webhook for external NLP service synchronization
    http.HandleFunc("/webhook/sentiment", func(w http.ResponseWriter, r *http.Request) {
        HandleNLPWebhook(w, r, injector)
    })

    // Health and metrics endpoint
    http.HandleFunc("/metrics", func(w http.ResponseWriter, r *http.Request) {
        metrics := &InjectionMetrics{}
        // In production, metrics would be shared via a global or injected instance
        w.Header().Set("Content-Type", "application/json")
        json.NewEncoder(w).Encode(map[string]interface{}{
            "status": "running",
            "success_rate": metrics.GetSuccessRate(),
            "last_latency_ms": metrics.LastLatency.Milliseconds(),
        })
    })

    slog.Info("starting sentiment injector service", "port", ":8080")
    if err := http.ListenAndServe(":8080", nil); err != nil {
        slog.Error("server failed", "error", err)
    }
}

Common Errors and Debugging

Error: 401 Unauthorized

  • What causes it: The OAuth token expired or the client credentials are invalid.
  • How to fix it: Ensure the token cache refreshes 30 seconds before expiration. Verify the client_id and client_secret match the CXone developer console. Check that the grant_type is set to client_credentials.
  • Code showing the fix: The TokenCache.Get method automatically clears the cached token on 401 and triggers a fresh request.

Error: 403 Forbidden

  • What causes it: The OAuth token lacks the agentassist:injection:write scope, or the API client does not have permission to inject into the specified workspace.
  • How to fix it: Regenerate the OAuth token with the correct scope string. Verify the API client role in the CXone admin console includes Agent Assist Injection permissions.
  • Code showing the fix: The OAuthConfig payload explicitly requests agentassist:injection:write+agentassist:metrics:read.

Error: 429 Too Many Requests

  • What causes it: You exceeded the maximum-injection-frequency-per-minute limit or hit CXone global rate limits.
  • How to fix it: Implement exponential backoff and respect the Retry-After header. The validation pipeline enforces per-agent limits before the HTTP call.
  • Code showing the fix: The PushSentiment loop sleeps for the Retry-After duration and retries up to three times. The BuildAndValidatePayload function blocks requests that exceed the configured minute limit.

Error: 400 Bad Request

  • What causes it: The JSON payload contains invalid field types, missing required keys, or malformed sentiment-ref identifiers.
  • How to fix it: Validate the InjectionRequest structure against the CXone schema before serialization. Ensure agent-matrix values are numeric and push-directive matches allowed enumeration values.
  • Code showing the fix: The json.Marshal call fails fast with a serialization error. The VerifyPushState method checks confidence thresholds and negative load indicators before transmission.

Official References