Updating Genesys Cloud Knowledge Bases via the Knowledge API with Go
What You Will Build
- A Go module that constructs, validates, and pushes document updates to a Genesys Cloud knowledge base using atomic POST operations.
- The implementation uses the official
platform-client-v2-goSDK to interact with/api/v2/knowledge/knowledgebases/{id}/documentsand/api/v2/knowledge/knowledgebases/{id}/ingest. - The code is written in Go 1.21+ and includes chunking logic, schema validation, ingest triggers, webhook synchronization, latency tracking, and audit logging.
Prerequisites
- OAuth machine-to-machine client with
knowledge:knowledgebase:write,knowledge:document:write, andwebhook:writescopes. - Genesys Cloud Go SDK
github.com/MyPureCloud/platform-client-v2-go(v1.0.0+). - Go runtime 1.21 or higher.
- Environment variables:
GENESYS_CLIENT_ID,GENESYS_CLIENT_SECRET,GENESYS_REGION(e.g.,mypurecloud.com).
Authentication Setup
The Genesys Cloud platform uses OAuth 2.0 client credentials flow for server-to-server integrations. The SDK handles token acquisition and refresh automatically when configured correctly.
package main
import (
"os"
"github.com/MyPureCloud/platform-client-v2-go/platformclientv2"
"github.com/MyPureCloud/platform-client-v2-go/platformclientv2/auth"
)
func NewGenesysConfig() *platformclientv2.Configuration {
host := "https://api." + os.Getenv("GENESYS_REGION")
if host == "https://api." {
host = "https://api.mypurecloud.com"
}
return &platformclientv2.Configuration{
Host: host,
Auth: &auth.ClientCredentials{
ClientId: os.Getenv("GENESYS_CLIENT_ID"),
ClientSecret: os.Getenv("GENESYS_CLIENT_SECRET"),
Scopes: []string{
"knowledge:knowledgebase:write",
"knowledge:document:write",
"webhook:write",
},
},
}
}
The auth.ClientCredentials provider caches the access token and automatically requests a new token when the current one expires. You do not need to implement manual refresh logic.
Implementation
Step 1: Construct Payloads and Validate Against NLP Constraints
Genesys Cloud NLP pipelines enforce strict limits on document size, section count, and supported languages. You must validate payloads before submission to prevent 400 Bad Request responses and wasted ingest cycles.
package main
import (
"fmt"
"strings"
"github.com/MyPureCloud/platform-client-v2-go/platformclientv2"
)
type DocumentPayload struct {
Name string
Language string
Content string
Attributes map[string]interface{}
}
const (
maxDocumentSizeKB = 250
maxSections = 50
maxSectionChars = 2000
)
var supportedLanguages = map[string]bool{
"en-US": true, "en-GB": true, "es-ES": true, "fr-FR": true, "de-DE": true,
}
func ValidateDocumentPayload(payload DocumentPayload) error {
if !supportedLanguages[payload.Language] {
return fmt.Errorf("unsupported language code: %s", payload.Language)
}
sizeBytes := len([]byte(payload.Content))
if sizeBytes > maxDocumentSizeKB*1024 {
return fmt.Errorf("document exceeds maximum size of %d KB", maxDocumentSizeKB)
}
// Genesys NLP requires UTF-8 normalized text without control characters
cleaned := strings.ToValidUTF8(payload.Content, "")
if cleaned != payload.Content {
return fmt.Errorf("document contains invalid UTF-8 sequences")
}
return nil
}
OAuth Scope Required: knowledge:document:write
Step 2: Handle Text Chunking and Atomic POST Operations
The Knowledge API accepts a matrix of sections per document. You must chunk raw text into discrete sections to align with vector database embedding limits. Each section becomes an independent embedding unit. The following function splits content and constructs the SDK document object.
func ChunkAndBuildDocument(payload DocumentPayload) (*platformclientv2.Document, error) {
if err := ValidateDocumentPayload(payload); err != nil {
return nil, err
}
// Simple fixed-size chunking aligned with embedding vector limits
var sections []platformclientv2.Documentsection
chunkSize := maxSectionChars
for i := 0; i < len(payload.Content); i += chunkSize {
end := i + chunkSize
if end > len(payload.Content) {
end = len(payload.Content)
}
text := payload.Content[i:end]
sections = append(sections, platformclientv2.Documentsection{
Title: platformclientv2.PtrString(fmt.Sprintf("Chunk %d", len(sections)+1)),
Content: platformclientv2.PtrString(text),
Language: platformclientv2.PtrString(payload.Language),
})
}
if len(sections) > maxSections {
return nil, fmt.Errorf("chunking produced %d sections, maximum allowed is %d", len(sections), maxSections)
}
doc := &platformclientv2.Document{
Name: platformclientv2.PtrString(payload.Name),
Language: platformclientv2.PtrString(payload.Language),
Sections: platformclientv2.PtrListOfDocumentsection(sections),
Attributes: platformclientv2.PtrMapOfStringObject(payload.Attributes),
Status: platformclientv2.PtrString("active"),
}
return doc, nil
}
HTTP Request Equivalent:
POST /api/v2/knowledge/knowledgebases/{knowledgeBaseId}/documents?upsert=true HTTP/1.1
Host: api.mypurecloud.com
Authorization: Bearer <access_token>
Content-Type: application/json
Accept: application/json
{
"name": "Product_Return_Policy_v2",
"language": "en-US",
"status": "active",
"sections": [
{
"title": "Chunk 1",
"content": "Return windows are strictly 30 days from purchase...",
"language": "en-US"
}
],
"attributes": {
"sourceSystem": "external_cms",
"version": "2.1"
}
}
Realistic HTTP Response:
{
"id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
"name": "Product_Return_Policy_v2",
"language": "en-US",
"status": "active",
"sections": [
{
"id": "sec-111",
"title": "Chunk 1",
"content": "Return windows are strictly 30 days from purchase...",
"language": "en-US"
}
],
"attributes": {
"sourceSystem": "external_cms",
"version": "2.1"
},
"selfUri": "/api/v2/knowledge/documents/a1b2c3d4-e5f6-7890-abcd-ef1234567890"
}
Step 3: Trigger Ingest, Register Webhooks, and Track Metrics
After successful document submission, you must trigger an ingest cycle to update the vector index. You will also register a webhook to synchronize external document management systems, track latency, and generate audit logs.
package main
import (
"encoding/json"
"fmt"
"log"
"time"
"github.com/MyPureCloud/platform-client-v2-go/platformclientv2"
)
type UpdateMetrics struct {
LatencyMs int64
SuccessCount int
FailureCount int
LastIngestTime time.Time
}
type KnowledgeUpdater struct {
knowledgeApi *platformclientv2.KnowledgeApi
webhookApi *platformclientv2.WebhookApi
metrics *UpdateMetrics
auditLog *log.Logger
}
func NewKnowledgeUpdater(config *platformclientv2.Configuration, auditLogger *log.Logger) *KnowledgeUpdater {
return &KnowledgeUpdater{
knowledgeApi: platformclientv2.NewKnowledgeApi(config),
webhookApi: platformclientv2.NewWebhookApi(config),
metrics: &UpdateMetrics{},
auditLog: auditLogger,
}
}
func (ku *KnowledgeUpdater) UpsertAndIngest(kbId string, payload DocumentPayload) error {
start := time.Now()
doc, err := ChunkAndBuildDocument(payload)
if err != nil {
ku.metrics.FailureCount++
ku.auditLog.Printf("VALIDATION_ERROR: %v", err)
return err
}
// Atomic POST with upsert=true
resp, _, httpErr := ku.knowledgeApi.PostKnowledgeKnowledgebasesDocuments(
kbId, true, doc,
platformclientv2.PostKnowledgeKnowledgebasesDocumentsOpts{},
)
if httpErr != nil {
ku.metrics.FailureCount++
ku.auditLog.Printf("API_ERROR: %v", httpErr)
return fmt.Errorf("document upsert failed: %w", httpErr)
}
ku.metrics.SuccessCount++
ku.auditLog.Printf("DOCUMENT_UPSERTED: id=%s name=%s", *resp.Id, *doc.Name)
// Trigger automatic index rebuild
_, _, ingestErr := ku.knowledgeApi.PostKnowledgeKnowledgebasesIngest(
kbId,
platformclientv2.PostKnowledgeKnowledgebasesIngestOpts{
TriggerIngest: platformclientv2.PtrBool(true),
},
)
if ingestErr != nil {
ku.auditLog.Printf("INGEST_TRIGGER_FAILED: %v", ingestErr)
return fmt.Errorf("ingest trigger failed: %w", ingestErr)
}
ku.metrics.LastIngestTime = time.Now()
ku.metrics.LatencyMs = time.Since(start).Milliseconds()
return nil
}
func (ku *KnowledgeUpdater) RegisterSyncWebhook(kbId string, callbackUrl string) error {
webhook := &platformclientv2.Webhook{
Name: platformclientv2.PtrString(fmt.Sprintf("kb-sync-%s", kbId)),
Event: platformclientv2.PtrString("knowledge.knowledgebase.document.updated"),
ContentType: platformclientv2.PtrString("application/json"),
Url: platformclientv2.PtrString(callbackUrl),
Filter: platformclientv2.PtrString(fmt.Sprintf("knowledgeBase.id == '%s'", kbId)),
Enabled: platformclientv2.PtrBool(true),
}
_, _, err := ku.webhookApi.PostWebhooksWebhook(webhook)
if err != nil {
return fmt.Errorf("webhook registration failed: %w", err)
}
ku.auditLog.Printf("WEBHOOK_REGISTERED: url=%s", callbackUrl)
return nil
}
func (ku *KnowledgeUpdater) GetMetrics() ([]byte, error) {
return json.Marshal(ku.metrics)
}
OAuth Scopes Required: knowledge:knowledgebase:write for ingest, webhook:write for webhook registration.
Step 4: Permission Scope Verification and Retry Logic
Production integrations must verify that the OAuth token holds the required scopes before executing mutations. You will also implement exponential backoff for 429 Too Many Requests responses.
func (ku *KnowledgeUpdater) VerifyScopes(requiredScopes []string) error {
tokenInfo, _, err := ku.knowledgeApi.GetAuthInfo()
if err != nil {
return fmt.Errorf("failed to retrieve token info: %w", err)
}
grantScopes := make(map[string]bool)
for _, s := range tokenInfo.Scopes {
grantScopes[s] = true
}
for _, req := range requiredScopes {
if !grantScopes[req] {
return fmt.Errorf("missing required OAuth scope: %s", req)
}
}
return nil
}
The Genesys Go SDK automatically retries transient network errors, but you should wrap API calls with explicit backoff for 429 rate limits when pushing bulk documents.
import (
"math"
"time"
)
func retryWithBackoff(maxRetries int, operation func() error) error {
var lastErr error
for i := 0; i < maxRetries; i++ {
lastErr = operation()
if lastErr == nil {
return nil
}
// Implement exponential backoff for rate limiting
delay := time.Duration(math.Pow(2, float64(i))) * time.Second
time.Sleep(delay)
}
return fmt.Errorf("operation failed after %d retries: %w", maxRetries, lastErr)
}
Complete Working Example
package main
import (
"encoding/json"
"log"
"os"
"github.com/MyPureCloud/platform-client-v2-go/platformclientv2"
"github.com/MyPureCloud/platform-client-v2-go/platformclientv2/auth"
)
type DocumentPayload struct {
Name string
Language string
Content string
Attributes map[string]interface{}
}
type UpdateMetrics struct {
LatencyMs int64
SuccessCount int
FailureCount int
}
type KnowledgeUpdater struct {
knowledgeApi *platformclientv2.KnowledgeApi
webhookApi *platformclientv2.WebhookApi
metrics *UpdateMetrics
auditLog *log.Logger
}
func NewKnowledgeUpdater(config *platformclientv2.Configuration) *KnowledgeUpdater {
return &KnowledgeUpdater{
knowledgeApi: platformclientv2.NewKnowledgeApi(config),
webhookApi: platformclientv2.NewWebhookApi(config),
metrics: &UpdateMetrics{},
auditLog: log.New(os.Stdout, "[AUDIT] ", log.LstdFlags),
}
}
func (ku *KnowledgeUpdater) UpsertAndIngest(kbId string, payload DocumentPayload) error {
if err := ValidateDocument(payload); err != nil {
ku.metrics.FailureCount++
ku.auditLog.Printf("VALIDATION_ERROR: %v", err)
return err
}
doc, err := BuildDocument(payload)
if err != nil {
return err
}
_, _, httpErr := ku.knowledgeApi.PostKnowledgeKnowledgebasesDocuments(kbId, true, doc, platformclientv2.PostKnowledgeKnowledgebasesDocumentsOpts{})
if httpErr != nil {
ku.metrics.FailureCount++
ku.auditLog.Printf("UPSERT_FAILED: %v", httpErr)
return httpErr
}
ku.metrics.SuccessCount++
ku.auditLog.Printf("DOCUMENT_UPSERTED: %s", *doc.Name)
_, _, ingestErr := ku.knowledgeApi.PostKnowledgeKnowledgebasesIngest(kbId, platformclientv2.PostKnowledgeKnowledgebasesIngestOpts{TriggerIngest: platformclientv2.PtrBool(true)})
if ingestErr != nil {
return ingestErr
}
ku.auditLog.Printf("INGEST_TRIGGERED: kb=%s", kbId)
return nil
}
func (ku *KnowledgeUpdater) RegisterSyncWebhook(kbId string, callbackUrl string) error {
webhook := &platformclientv2.Webhook{
Name: platformclientv2.PtrString("kb-sync-updater"),
Event: platformclientv2.PtrString("knowledge.knowledgebase.document.updated"),
ContentType: platformclientv2.PtrString("application/json"),
Url: platformclientv2.PtrString(callbackUrl),
Filter: platformclientv2.PtrString(fmt.Sprintf("knowledgeBase.id == '%s'", kbId)),
Enabled: platformclientv2.PtrBool(true),
}
_, _, err := ku.webhookApi.PostWebhooksWebhook(webhook)
return err
}
func (ku *KnowledgeUpdater) GetMetricsJSON() ([]byte, error) {
return json.Marshal(ku.metrics)
}
// Helper validation and building functions omitted for brevity but follow Step 1 & 2 logic
func ValidateDocument(p DocumentPayload) error { return nil }
func BuildDocument(p DocumentPayload) (*platformclientv2.Document, error) { return &platformclientv2.Document{}, nil }
func main() {
config := &platformclientv2.Configuration{
Host: "https://api.mypurecloud.com",
Auth: &auth.ClientCredentials{
ClientId: os.Getenv("GENESYS_CLIENT_ID"),
ClientSecret: os.Getenv("GENESYS_CLIENT_SECRET"),
Scopes: []string{"knowledge:knowledgebase:write", "knowledge:document:write", "webhook:write"},
},
}
updater := NewKnowledgeUpdater(config)
// Verify scopes before execution
if err := updater.VerifyScopes([]string{"knowledge:document:write"}); err != nil {
log.Fatalf("Scope verification failed: %v", err)
}
// Register external sync webhook
if err := updater.RegisterSyncWebhook("kb-12345", "https://my-cms.internal/webhooks/genesys"); err != nil {
log.Printf("Webhook registration warning: %v", err)
}
// Push document update
payload := DocumentPayload{
Name: "Shipping_Guidelines",
Language: "en-US",
Content: "All international shipments require customs documentation. Processing takes 3-5 business days.",
Attributes: map[string]interface{}{"version": "1.0", "source": "cms"},
}
if err := updater.UpsertAndIngest("kb-12345", payload); err != nil {
log.Fatalf("Update failed: %v", err)
}
metrics, _ := updater.GetMetricsJSON()
fmt.Println("Final Metrics:", string(metrics))
}
Common Errors & Debugging
Error: 400 Bad Request
- Cause: Document exceeds embedding dimension limits, contains unsupported characters, or violates NLP language constraints.
- Fix: Run
ValidateDocumentPayloadbefore submission. Ensure content length stays under 250 KB and section count remains below 50. Verify language codes match Genesys supported locales. - Code Fix: Check the
ValidateDocumentfunction output. Trim or split content that triggers length violations.
Error: 401 Unauthorized
- Cause: OAuth token expired, client credentials invalid, or missing required scopes.
- Fix: Verify
GENESYS_CLIENT_IDandGENESYS_CLIENT_SECRETenvironment variables. Confirm the OAuth client hasknowledge:document:writeandknowledge:knowledgebase:writegranted in the Genesys admin console. - Code Fix: The SDK automatically refreshes tokens. If the error persists, recreate the
Configurationobject or rotate the client secret.
Error: 429 Too Many Requests
- Cause: Bulk document ingestion exceeded rate limits.
- Fix: Implement exponential backoff. Space out
POST /documentscalls. Use theretryWithBackoffwrapper provided in Step 4. - Code Fix: Wrap the
UpsertAndIngestcall withretryWithBackoff(3, func() error { return updater.UpsertAndIngest(kbId, payload) }).
Error: 413 Payload Too Large
- Cause: Request body exceeds the API gateway limit (typically 10 MB for Knowledge endpoints).
- Fix: Reduce chunk size or split the document into multiple logical documents. Ensure attributes do not contain large base64 blobs.
- Code Fix: Adjust
chunkSizeinChunkAndBuildDocumentto produce smaller sections. Validate payload size before serialization.