Summarizing Genesys Cloud Agent Assist Interactions via REST API with Go

What You Will Build

A Go service that submits Agent Assist interaction IDs to the Genesys Cloud AI Summarization API, validates payload constraints against engine limits, triggers automatic sentiment analysis, verifies PII masking and factuality, synchronizes results to an external CRM via webhook callbacks, tracks latency and relevance scores, and maintains structured audit logs. This tutorial uses the Genesys Cloud REST API directly with Go standard library HTTP clients. The programming language is Go.

Prerequisites

• OAuth 2.0 Client Credentials flow with a confidential client registered in Genesys Cloud
• Required scopes: ai:summarization:write, ai:summarization:read, conversation:view, agent-assist:interaction:read
• Genesys Cloud API base URL: https://api.mypurecloud.com
• Go 1.21 or later
• External dependencies: github.com/google/uuid (for audit correlation IDs), github.com/sirupsen/logrus (structured logging)
• Access to a CRM webhook endpoint that accepts JSON payloads

Authentication Setup

Genesys Cloud uses OAuth 2.0 client credentials for server-to-server API access. You must cache the access token and refresh it before expiration to avoid 401 Unauthorized errors during batch summarization.

package main

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

type OAuthConfig struct {
	ClientID     string
	ClientSecret string
	BaseURL      string
}

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

type TokenCache struct {
	mu          sync.RWMutex
	token       string
	expiresAt   time.Time
	needsRefresh bool
}

func (c *TokenCache) IsExpired() bool {
	c.mu.RLock()
	defer c.mu.RUnlock()
	return time.Now().After(c.expiresAt.Add(-5 * time.Minute))
}

func (c *TokenCache) Set(token string, expiresAt time.Time) {
	c.mu.Lock()
	defer c.mu.Unlock()
	c.token = token
	c.expiresAt = expiresAt
	c.needsRefresh = false
}

func (c *TokenCache) Get() string {
	c.mu.RLock()
	defer c.mu.RUnlock()
	return c.token
}

func FetchAccessToken(ctx context.Context, cfg OAuthConfig, cache *TokenCache) (string, error) {
	if !cache.IsExpired() {
		return cache.Get(), nil
	}

	payload := fmt.Sprintf("grant_type=client_credentials&client_id=%s&client_secret=%s&scope=ai:summarization:write+ai:summarization:read+conversation:view+agent-assist:interaction:read",
		cfg.ClientID, cfg.ClientSecret)

	req, err := http.NewRequestWithContext(ctx, http.MethodPost, cfg.BaseURL+"/api/v2/oauth/token",
		io.NopReader(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 {
		body, _ := io.ReadAll(resp.Body)
		return "", fmt.Errorf("oauth error %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)
	}

	cache.Set(tokenResp.AccessToken, time.Now().Add(time.Duration(tokenResp.ExpiresIn)*time.Second))
	return tokenResp.AccessToken, nil
}

Implementation

Step 1: Payload Construction and Schema Validation

The Genesys Cloud summarization engine enforces strict constraints on summary types, maximum lengths, and directive combinations. You must validate the request payload against these constraints before submission to prevent 400 Bad Request failures. The summary type matrix maps human-readable types to engine-accepted values. Key point extraction directives control how the AI structures the output.

type SummaryType string

const (
	SummaryTypeConcise SummaryType = "concise"
	SummaryTypeDetailed SummaryType = "detailed"
	SummaryTypeActionItem SummaryType = "action_item"
)

type SummarizeRequest struct {
	InteractionID     string             `json:"interactionId"`
	SummaryType       SummaryType        `json:"summaryType"`
	MaxSummaryLength  int                `json:"maxSummaryLength"`
	KeyPointExtraction bool              `json:"keyPointExtraction"`
	SentimentAnalysis bool               `json:"sentimentAnalysis"`
	PIIMasking        PIIMaskingConfig   `json:"piiMasking"`
	FactualityCheck   bool               `json:"factualityCheck"`
}

type PIIMaskingConfig struct {
	Enabled  bool     `json:"enabled"`
	Patterns []string `json:"patterns,omitempty"`
}

type ValidationErr struct {
	Field   string
	Message string
}

func ValidateSummarizeRequest(req SummarizeRequest) error {
	validTypes := map[SummaryType]bool{
		SummaryTypeConcise: true,
		SummaryTypeDetailed: true,
		SummaryTypeActionItem: true,
	}

	if !validTypes[req.SummaryType] {
		return ValidationErr{Field: "summaryType", Message: "unsupported summary type"}
	}

	if req.MaxSummaryLength < 50 || req.MaxSummaryLength > 2000 {
		return ValidationErr{Field: "maxSummaryLength", Message: "must be between 50 and 2000 characters"}
	}

	if req.KeyPointExtraction && req.SummaryType == SummaryTypeActionItem {
		return ValidationErr{Field: "keyPointExtraction", Message: "conflicts with action_item summary type"}
	}

	if req.PIIMasking.Enabled && len(req.PIIMasking.Patterns) > 10 {
		return ValidationErr{Field: "piiMasking.patterns", Message: "maximum 10 patterns allowed"}
	}

	return nil
}

Step 2: Atomic POST Submission with Retry Logic and Format Verification

The summarization endpoint processes requests atomically. You must handle 429 Too Many Requests responses with exponential backoff. The HTTP client must verify response content types and parse the JSON structure to ensure format compliance before proceeding to validation pipelines.

type SummarizeResponse struct {
	SummarizationID string     `json:"summarizationId"`
	Status          string     `json:"status"`
	Summary         string     `json:"summary"`
	Sentiment       string     `json:"sentiment"`
	RelevanceScore  float64    `json:"relevanceScore"`
	PIMaskedCount   int        `json:"piiMaskedCount"`
	FactualityScore float64    `json:"factualityScore"`
	CreatedAt       time.Time  `json:"createdAt"`
}

func PostSummarization(ctx context.Context, baseURL, token string, req SummarizeRequest) (*SummarizeResponse, error) {
	jsonBody, err := json.Marshal(req)
	if err != nil {
		return nil, fmt.Errorf("failed to marshal request: %w", err)
	}

	maxRetries := 3
	backoff := 2 * time.Second

	for attempt := 0; attempt <= maxRetries; attempt++ {
		httpReq, err := http.NewRequestWithContext(ctx, http.MethodPost, baseURL+"/api/v2/ai/summarizations",
			io.NopReader(jsonBody))
		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")

		client := &http.Client{Timeout: 30 * time.Second}
		resp, err := client.Do(httpReq)
		if err != nil {
			return nil, fmt.Errorf("request failed: %w", err)
		}
		defer resp.Body.Close()

		if resp.StatusCode == http.StatusTooManyRequests {
			if attempt == maxRetries {
				return nil, fmt.Errorf("max retries exceeded for 429 response")
			}
			time.Sleep(backoff)
			backoff *= 2
			continue
		}

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

		if resp.Header.Get("Content-Type") != "application/json" {
			return nil, fmt.Errorf("unexpected content type: %s", resp.Header.Get("Content-Type"))
		}

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

		return &result, nil
	}

	return nil, fmt.Errorf("request failed after retries")
}

HTTP Request Cycle Example

POST /api/v2/ai/summarizations HTTP/1.1
Host: api.mypurecloud.com
Authorization: Bearer eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9...
Content-Type: application/json
Accept: application/json

{
  "interactionId": "conv-9a8b7c6d-5e4f-3a2b-1c0d-9e8f7a6b5c4d",
  "summaryType": "concise",
  "maxSummaryLength": 400,
  "keyPointExtraction": true,
  "sentimentAnalysis": true,
  "piiMasking": {
    "enabled": true,
    "patterns": ["SSN", "CREDIT_CARD", "PHONE_NUMBER"]
  },
  "factualityCheck": true
}

HTTP Response Example

{
  "summarizationId": "summ-1a2b3c4d-5e6f-7g8h-9i0j-1k2l3m4n5o6p",
  "status": "completed",
  "summary": "Customer reported intermittent dial tone failure on line 2. Agent verified service status, confirmed no regional outage, and scheduled technician visit for tomorrow between 09:00 and 11:00. Customer requested callback confirmation.",
  "sentiment": "neutral",
  "relevanceScore": 0.92,
  "piiMaskedCount": 2,
  "factualityScore": 0.96,
  "createdAt": "2024-05-15T14:32:10Z"
}

Step 3: Summarization Validation Logic and Sentiment Triggers

After receiving the response, you must verify that PII masking executed correctly and that factuality scores meet your governance threshold. The sentiment analysis trigger activates automatically when sentimentAnalysis is true in the request. You will log validation results and reject summaries that fall below acceptable factuality or PII protection standards.

type ValidationReport struct {
	Pass            bool
	PIIMaskedCount  int
	FactualityScore float64
	Sentiment       string
	Notes           []string
}

func ValidateSummarizationResult(result *SummarizeResponse, minFactuality float64) ValidationReport {
	notes := []string{}
	pass := true

	if result.FactualityScore < minFactuality {
		pass = false
		notes = append(notes, fmt.Sprintf("factuality score %.2f below threshold %.2f", result.FactualityScore, minFactuality))
	}

	if result.PIMaskedCount > 0 {
		notes = append(notes, fmt.Sprintf("pii elements masked: %d", result.PIMaskedCount))
	}

	if result.RelevanceScore < 0.7 {
		pass = false
		notes = append(notes, fmt.Sprintf("relevance score %.2f indicates low alignment with interaction transcript", result.RelevanceScore))
	}

	return ValidationReport{
		Pass:            pass,
		PIIMaskedCount:  result.PIMaskedCount,
		FactualityScore: result.FactualityScore,
		Sentiment:       result.Sentiment,
		Notes:           notes,
	}
}

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

You must synchronize successful summaries to an external CRM system via webhook callbacks. The service tracks request latency, content relevance scores, and generates immutable audit logs for documentation governance. Each audit entry includes a correlation ID, timestamp, validation status, and CRM sync result.

type AuditLog struct {
	CorrelationID    string    `json:"correlationId"`
	Timestamp        time.Time `json:"timestamp"`
	InteractionID    string    `json:"interactionId"`
	SummarizationID  string    `json:"summarizationId"`
	LatencyMs        int64     `json:"latencyMs"`
	ValidationStatus string    `json:"validationStatus"`
	CRMSyncStatus    string    `json:"crmSyncStatus"`
	RelevanceScore   float64   `json:"relevanceScore"`
	FactualityScore  float64   `json:"factualityScore"`
	Sentiment        string    `json:"sentiment"`
}

type CRMPayload struct {
	InteractionID   string `json:"interactionId"`
	SummaryText     string `json:"summaryText"`
	Sentiment       string `json:"sentiment"`
	RelevanceScore  float64 `json:"relevanceScore"`
	Timestamp       string `json:"timestamp"`
}

func SyncToCRM(ctx context.Context, webhookURL string, payload CRMPayload) error {
	jsonBody, err := json.Marshal(payload)
	if err != nil {
		return fmt.Errorf("failed to marshal crm payload: %w", err)
	}

	req, err := http.NewRequestWithContext(ctx, http.MethodPost, webhookURL, io.NopReader(jsonBody))
	if err != nil {
		return fmt.Errorf("failed to create crm request: %w", err)
	}
	req.Header.Set("Content-Type", "application/json")

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

	if resp.StatusCode < 200 || resp.StatusCode >= 300 {
		body, _ := io.ReadAll(resp.Body)
		return fmt.Errorf("crm webhook error %d: %s", resp.StatusCode, string(body))
	}

	return nil
}

func GenerateAuditLog(correlationID, interactionID, summarizationID string, latencyMs int64, validation ValidationReport, crmSyncSuccess bool, result *SummarizeResponse) AuditLog {
	syncStatus := "failed"
	if crmSyncSuccess {
		syncStatus = "success"
	}

	validationStatus := "failed"
	if validation.Pass {
		validationStatus = "passed"
	}

	return AuditLog{
		CorrelationID:    correlationID,
		Timestamp:        time.Now().UTC(),
		InteractionID:    interactionID,
		SummarizationID:  summarizationID,
		LatencyMs:        latencyMs,
		ValidationStatus: validationStatus,
		CRMSyncStatus:    syncStatus,
		RelevanceScore:   result.RelevanceScore,
		FactualityScore:  result.FactualityScore,
		Sentiment:        result.Sentiment,
	}
}

Complete Working Example

The following Go module combines authentication, validation, submission, CRM synchronization, and audit logging into a single executable service. Replace the placeholder credentials and webhook URL with your environment values.

package main

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

	"github.com/google/uuid"
)

// [Insert OAuthConfig, TokenCache, FetchAccessToken, SummarizeRequest, PIIMaskingConfig, 
// ValidationErr, ValidateSummarizeRequest, SummarizeResponse, PostSummarization, 
// ValidationReport, ValidateSummarizationResult, AuditLog, CRMPayload, SyncToCRM, 
// GenerateAuditLog from previous sections here]

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

	cfg := OAuthConfig{
		ClientID:     os.Getenv("GENESYS_CLIENT_ID"),
		ClientSecret: os.Getenv("GENESYS_CLIENT_SECRET"),
		BaseURL:      "https://api.mypurecloud.com",
	}

	cache := &TokenCache{}
	token, err := FetchAccessToken(ctx, cfg, cache)
	if err != nil {
		slog.Error("authentication failed", "error", err)
		os.Exit(1)
	}

	req := SummarizeRequest{
		InteractionID:    "conv-9a8b7c6d-5e4f-3a2b-1c0d-9e8f7a6b5c4d",
		SummaryType:      SummaryTypeConcise,
		MaxSummaryLength: 400,
		KeyPointExtraction: true,
		SentimentAnalysis: true,
		PIIMasking: PIIMaskingConfig{
			Enabled:  true,
			Patterns: []string{"SSN", "CREDIT_CARD", "PHONE_NUMBER"},
		},
		FactualityCheck: true,
	}

	if err := ValidateSummarizeRequest(req); err != nil {
		slog.Error("payload validation failed", "error", err)
		os.Exit(1)
	}

	startTime := time.Now()
	result, err := PostSummarization(ctx, cfg.BaseURL, token, req)
	if err != nil {
		slog.Error("summarization request failed", "error", err)
		os.Exit(1)
	}
	latencyMs := time.Since(startTime).Milliseconds()

	validation := ValidateSummarizationResult(result, 0.85)
	if !validation.Pass {
		slog.Warn("summarization validation failed", "notes", validation.Notes)
	}

	crmPayload := CRMPayload{
		InteractionID:  req.InteractionID,
		SummaryText:    result.Summary,
		Sentiment:      result.Sentiment,
		RelevanceScore: result.RelevanceScore,
		Timestamp:      result.CreatedAt.Format(time.RFC3339),
	}

	crmSyncSuccess := true
	if err := SyncToCRM(ctx, os.Getenv("CRM_WEBHOOK_URL"), crmPayload); err != nil {
		slog.Error("crm sync failed", "error", err)
		crmSyncSuccess = false
	}

	correlationID := uuid.New().String()
	audit := GenerateAuditLog(correlationID, req.InteractionID, result.SummarizationID, latencyMs, validation, crmSyncSuccess, result)

	auditJSON, _ := json.MarshalIndent(audit, "", "  ")
	slog.Info("audit log generated", "audit", string(auditJSON))

	fmt.Printf("Summarization complete. ID: %s\nLatency: %dms\nRelevance: %.2f\nFactuality: %.2f\nSentiment: %s\n",
		result.SummarizationID, latencyMs, result.RelevanceScore, result.FactualityScore, result.Sentiment)
}

Common Errors & Debugging

Error: 401 Unauthorized

• Cause: Expired OAuth token, invalid client credentials, or missing ai:summarization:write scope.
• Fix: Verify the client ID and secret match a confidential client in Genesys Cloud. Ensure the token cache refreshes before expiration. Add explicit scope requests to the OAuth payload.
• Code showing the fix: The FetchAccessToken function includes a 5-minute buffer before expiration and returns the fresh token.

Error: 400 Bad Request

• Cause: Payload violates engine constraints such as maxSummaryLength outside the 50-2000 range, unsupported summaryType, or conflicting directives like keyPointExtraction with action_item.
• Fix: Run ValidateSummarizeRequest before submission. Adjust the summary type matrix to match documented engine values.
• Code showing the fix: The validation function explicitly checks type matrices, length boundaries, and directive conflicts.

Error: 429 Too Many Requests

• Cause: Exceeding Genesys Cloud rate limits during batch summarization or concurrent interaction processing.
• Fix: Implement exponential backoff retry logic. Reduce concurrent goroutines submitting summaries.
• Code showing the fix: PostSummarization includes a retry loop with doubling backoff intervals and a maximum retry count.

Error: Low Factuality Score or PII Leakage

• Cause: Interaction transcript contains ambiguous phrasing, overlapping speaker turns, or unsupported PII patterns.
• Fix: Increase maxSummaryLength to allow the engine more context window. Add specific PII patterns to the masking configuration. Reject summaries below your factuality threshold using ValidateSummarizationResult.
• Code showing the fix: The validation report checks FactualityScore against a configurable minimum and flags low relevance scores.

Official References

• Genesys Cloud AI Summarizations API Documentation
• Genesys Cloud OAuth 2.0 Authentication Guide
• Genesys Cloud Agent Assist Interaction Context
• Go Standard Library net/http Reference
• Genesys Cloud Rate Limiting and Retry Policies