Executing Genesys Cloud Agent Assist Knowledge Searches via Go

What You Will Build

• A production-ready Go module that executes Agent Assist knowledge searches, validates payloads against retrieval engine constraints, and prevents execution failures.
• The implementation uses the Genesys Cloud Agent Assist API (POST /api/v2/agentassist/knowledge/search) and the official Go SDK.
• The tutorial covers Go 1.21+ with explicit error handling, 429 retry logic, atomic GET verification, index freshness checks, webhook synchronization, latency tracking, and audit logging.

Prerequisites

• Genesys Cloud OAuth confidential client with scopes: agentassist:read, agentassist:write, knowledge:search, knowledge:read
• Genesys Cloud API version: v2
• Go runtime: 1.21 or newer
• External dependencies: github.com/mypurecloud/platform-client-sdk-go, github.com/go-logr/logr, github.com/go-logr/stdr
• Network access to api.mypurecloud.com (or your region’s equivalent)

Authentication Setup

Genesys Cloud uses OAuth 2.0 client credentials flow for server-to-server API access. The official Go SDK handles token caching and automatic refresh when configured correctly. You must initialize the configuration with your environment, client ID, and client secret.

package main

import (
    "context"
    "fmt"
    "log"
    "net/http"
    "os"
    "time"

    "github.com/go-logr/stdr"
    "github.com/mypurecloud/platform-client-sdk-go/platformclientv2"
)

func initializeGenesysClient() *platformclientv2.ApiClient {
    env := os.Getenv("GENESYS_ENVIRONMENT")
    if env == "" {
        env = "us-east-1"
    }
    clientId := os.Getenv("GENESYS_CLIENT_ID")
    clientSecret := os.Getenv("GENESYS_CLIENT_SECRET")

    // Configure OAuth2 client credentials flow
    config := platformclientv2.Configuration{
        BaseURL:         fmt.Sprintf("https://%s.api.mypurecloud.com", env),
        ClientId:        clientId,
        ClientSecret:    clientSecret,
        Scopes:          []string{"agentassist:read", "agentassist:write", "knowledge:search", "knowledge:read"},
        HttpClient:      &http.Client{Timeout: 30 * time.Second},
    }

    // Initialize the SDK client with automatic token refresh
    client, err := platformclientv2.NewApiClient(&config)
    if err != nil {
        log.Fatalf("Failed to initialize Genesys Cloud SDK client: %v", err)
    }

    // Force initial token fetch to validate credentials
    _, err = client.GetOauthClient().GetToken()
    if err != nil {
        log.Fatalf("OAuth token acquisition failed: %v", err)
    }

    return client
}

The HTTP cycle for token acquisition follows this structure:

• Method: POST
• Path: /oauth/token
• Headers: Content-Type: application/x-www-form-urlencoded, Authorization: Basic <base64(client_id:client_secret)>
• Body: grant_type=client_credentials&scope=agentassist:read%20agentassist:write%20knowledge:search%20knowledge:read
• Response: {"access_token":"eyJ...", "token_type":"Bearer", "expires_in":3600}

Implementation

Step 1: Payload Construction and Schema Validation

The Agent Assist knowledge search requires a structured payload containing the query string, maximum search depth, ranking directives, and fallback sources. You must validate this payload against retrieval engine constraints before execution to prevent 400 Bad Request responses.

type KnowledgeSearchRequest struct {
    Query            string   `json:"query"`
    MaxDepth         int      `json:"maxDepth"`
    RankingAlgorithm string   `json:"rankingAlgorithm"`
    FallbackSources  []string `json:"fallbackSourceIds"`
    MaxResults       int      `json:"maxResults"`
    CallbackURL      string   `json:"callbackUrl,omitempty"`
}

const (
    MaxAllowedDepth    = 5
    MinAllowedResults  = 1
    MaxAllowedResults  = 100
    ValidRankings      = "bm25|tfidf|semantic|hybrid"
)

func validateSearchPayload(req KnowledgeSearchRequest) error {
    // Validate maximum search depth against retrieval engine constraints
    if req.MaxDepth < 1 || req.MaxDepth > MaxAllowedDepth {
        return fmt.Errorf("maxDepth must be between 1 and %d, got %d", MaxAllowedDepth, req.MaxDepth)
    }

    // Validate result limits
    if req.MaxResults < MinAllowedResults || req.MaxResults > MaxAllowedResults {
        return fmt.Errorf("maxResults must be between %d and %d, got %d", MinAllowedResults, MaxAllowedResults, req.MaxResults)
    }

    // Validate ranking algorithm matrix
    valid := false
    for _, alg := range []string{"bm25", "tfidf", "semantic", "hybrid"} {
        if req.RankingAlgorithm == alg {
            valid = true
            break
        }
    }
    if !valid {
        return fmt.Errorf("rankingAlgorithm must be one of bm25, tfidf, semantic, hybrid")
    }

    // Validate fallback source directives
    if len(req.FallbackSources) > 0 {
        for _, src := range req.FallbackSources {
            if len(src) < 36 || len(src) > 36 {
                return fmt.Errorf("fallback source ID must be a valid UUID, got %s", src)
            }
        }
    }

    return nil
}

The validation logic prevents execution failures by enforcing engine constraints. The maxDepth parameter controls how many knowledge graph hops the retrieval engine performs. Exceeding 5 triggers a 422 Unprocessable Entity response from the platform.

Step 2: Execution with Retry Logic and Atomic GET Verification

You must implement exponential backoff for 429 Too Many Requests responses. The execution flow sends the validated payload to the Agent Assist API, then performs an atomic GET operation to verify the response format and trigger automatic snippet generation.

type KnowledgeExecutor struct {
    client    *platformclientv2.ApiClient
    logger    logr.Logger
    auditLog  *os.File
    latency   []time.Duration
    accurate  int
    total     int
}

func NewKnowledgeExecutor(client *platformclientv2.ApiClient, logger logr.Logger) (*KnowledgeExecutor, error) {
    auditFile, err := os.OpenFile("agentassist_audit.log", os.O_APPEND|os.O_CREATE|os.O_WRONLY, 0644)
    if err != nil {
        return nil, fmt.Errorf("failed to open audit log: %v", err)
    }
    return &KnowledgeExecutor{
        client:   client,
        logger:   logger,
        auditLog: auditFile,
        latency:  make([]time.Duration, 0),
    }, nil
}

func (ke *KnowledgeExecutor) ExecuteSearch(req KnowledgeSearchRequest) (*platformclientv2.Knowledgesearchresult, error) {
    err := validateSearchPayload(req)
    if err != nil {
        ke.writeAudit("PAYLOAD_VALIDATION_FAILED", req.Query, err)
        return nil, err
    }

    // Map to SDK request body
    sdkReq := &platformclientv2.Postagentassistknowledgesearchrequestbody{
        Query:             &req.Query,
        MaxResults:        &req.MaxResults,
        RankingAlgorithm:  &req.RankingAlgorithm,
        KnowledgeSourceIds: &req.FallbackSources,
        CallbackUrl:       &req.CallbackURL,
    }

    start := time.Now()
    var result *platformclientv2.Knowledgesearchresult
    var httpErr *platformclientv2.GenericSwaggerError

    // Retry logic for 429 rate limits
    maxRetries := 3
    for attempt := 0; attempt <= maxRetries; attempt++ {
        result, _, httpErr = ke.client.AgentassistApi.PostAgentassistKnowledgeSearch(context.Background(), sdkReq)
        if httpErr == nil {
            break
        }

        // Handle 429 with exponential backoff
        if httpErr.StatusCode == 429 {
            delay := time.Duration(1<<uint(attempt)) * time.Second
            ke.logger.Info("Rate limited (429), retrying", "attempt", attempt, "delay", delay)
            time.Sleep(delay)
            continue
        }

        ke.writeAudit("API_EXECUTION_FAILED", req.Query, httpErr)
        return nil, fmt.Errorf("agentassist API error: %v", httpErr)
    }

    elapsed := time.Since(start)
    ke.latency = append(ke.latency, elapsed)
    ke.total++

    if result == nil {
        return nil, fmt.Errorf("nil response from knowledge search")
    }

    // Atomic GET verification and snippet generation trigger
    err = ke.verifyAndGenerateSnippets(result)
    if err != nil {
        ke.writeAudit("SNIPPET_GENERATION_FAILED", req.Query, err)
        return nil, err
    }

    ke.writeAudit("EXECUTION_SUCCESS", req.Query, nil)
    return result, nil
}

func (ke *KnowledgeExecutor) verifyAndGenerateSnippets(result *platformclientv2.Knowledgesearchresult) error {
    if result.Results == nil || len(*result.Results) == 0 {
        return fmt.Errorf("empty result set returned")
    }

    knowledgeApi := platformclientv2.NewKnowledgeApi(ke.client)

    for idx := range *result.Results {
        res := &(*result.Results)[idx]
        if res.ArticleId == nil {
            continue
        }

        // Atomic GET operation for format verification
        article, _, err := knowledgeApi.GetKnowledgeArticle(context.Background(), *res.ArticleId, "en-US", "full", "true", "true", nil)
        if err != nil {
            ke.logger.Error(err, "Failed to fetch article for verification", "articleId", *res.ArticleId)
            continue
        }

        // Format verification: ensure content type is supported
        if article.ContentType == nil || *article.ContentType != "application/json" {
            return fmt.Errorf("unsupported content type for article %s", *res.ArticleId)
        }

        // Automatic snippet generation trigger via platform API
        snippetReq := &platformclientv2.Postknowledgearticlesidgeneratesnippetsrequestbody{
            Query: &res.Query,
            MaxSnippetLength: platformclientv2.Int32(200),
        }
        _, _, err = knowledgeApi.PostKnowledgeArticleGenerateSnippets(context.Background(), *res.ArticleId, snippetReq)
        if err != nil {
            ke.logger.Error(err, "Snippet generation failed", "articleId", *res.ArticleId)
        }
    }

    return nil
}

The HTTP cycle for the search execution follows this structure:

• Method: POST
• Path: /api/v2/agentassist/knowledge/search
• Headers: Authorization: Bearer <token>, Content-Type: application/json, Accept: application/json
• Body: {"query":"reset password procedure", "maxResults":10, "rankingAlgorithm":"hybrid", "knowledgeSourceIds":["uuid1", "uuid2"], "callbackUrl":"https://example.com/webhook"}
• Response: {"results":[{"articleId":"uuid", "score":0.92, "title":"Password Reset Guide", "query":"reset password"}], "totalResults":10}

Step 3: Index Freshness, Relevance Validation, and Webhook Synchronization

You must verify index freshness to prevent stale data delivery during scaling events. The relevance scoring pipeline filters results below a configurable threshold. Webhook callbacks synchronize execution events with external repositories.

func (ke *KnowledgeExecutor) ValidateIndexFreshness(sourceIDs []string) error {
    knowledgeApi := platformclientv2.NewKnowledgeApi(ke.client)
    maxAge := 24 * time.Hour

    for _, id := range sourceIDs {
        source, _, err := knowledgeApi.GetKnowledgeSource(context.Background(), id)
        if err != nil {
            return fmt.Errorf("failed to fetch knowledge source %s: %v", id, err)
        }

        if source.LastUpdated == nil {
            continue
        }

        age := time.Since(*source.LastUpdated)
        if age > maxAge {
            return fmt.Errorf("knowledge source %s is stale (last updated %s ago)", id, age.Round(time.Hour))
        }
    }

    return nil
}

func (ke *KnowledgeExecutor) VerifyRelevanceScoring(result *platformclientv2.Knowledgesearchresult) bool {
    minScore := 0.75
    validCount := 0

    if result.Results == nil {
        return false
    }

    for idx := range *result.Results {
        res := &(*result.Results)[idx]
        if res.Score != nil && *res.Score >= minScore {
            validCount++
        }
    }

    isAccurate := validCount > 0
    if isAccurate {
        ke.accurate++
    }

    return isAccurate
}

func (ke *KnowledgeExecutor) RegisterWebhookSync(callbackURL string) error {
    // Webhook registration follows standard HTTP POST to external system
    payload := map[string]interface{}{
        "event":      "agentassist.search.completed",
        "timestamp":  time.Now().UTC().Format(time.RFC3339),
        "callbackUrl": callbackURL,
        "status":     "active",
    }

    reqBody, _ := json.Marshal(payload)
    req, err := http.NewRequest(http.MethodPost, callbackURL, bytes.NewBuffer(reqBody))
    if err != nil {
        return fmt.Errorf("failed to create webhook sync request: %v", err)
    }
    req.Header.Set("Content-Type", "application/json")

    client := &http.Client{Timeout: 10 * time.Second}
    resp, err := client.Do(req)
    if err != nil {
        return fmt.Errorf("webhook sync failed: %v", err)
    }
    defer resp.Body.Close()

    if resp.StatusCode < 200 || resp.StatusCode >= 300 {
        return fmt.Errorf("webhook sync returned status %d", resp.StatusCode)
    }

    return nil
}

The relevance scoring verification pipeline ensures precise agent assistance by filtering out low-confidence matches. The index freshness check prevents stale data delivery by validating the lastUpdated timestamp against a 24-hour maximum age threshold. Webhook callbacks align execution events with external knowledge repositories using synchronous HTTP POST requests.

Complete Working Example

The following module integrates authentication, payload validation, execution, verification, tracking, and audit logging into a single runnable program.

package main

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

    "github.com/go-logr/stdr"
    "github.com/mypurecloud/platform-client-sdk-go/platformclientv2"
)

type KnowledgeSearchRequest struct {
    Query            string   `json:"query"`
    MaxDepth         int      `json:"maxDepth"`
    RankingAlgorithm string   `json:"rankingAlgorithm"`
    FallbackSources  []string `json:"fallbackSourceIds"`
    MaxResults       int      `json:"maxResults"`
    CallbackURL      string   `json:"callbackUrl,omitempty"`
}

type KnowledgeExecutor struct {
    client   *platformclientv2.ApiClient
    logger   logr.Logger
    auditLog *os.File
    latency  []time.Duration
    accurate int
    total    int
}

func initializeGenesysClient() *platformclientv2.ApiClient {
    env := os.Getenv("GENESYS_ENVIRONMENT")
    if env == "" {
        env = "us-east-1"
    }
    clientId := os.Getenv("GENESYS_CLIENT_ID")
    clientSecret := os.Getenv("GENESYS_CLIENT_SECRET")

    config := platformclientv2.Configuration{
        BaseURL:      fmt.Sprintf("https://%s.api.mypurecloud.com", env),
        ClientId:     clientId,
        ClientSecret: clientSecret,
        Scopes:       []string{"agentassist:read", "agentassist:write", "knowledge:search", "knowledge:read"},
        HttpClient:   &http.Client{Timeout: 30 * time.Second},
    }

    client, err := platformclientv2.NewApiClient(&config)
    if err != nil {
        log.Fatalf("Failed to initialize Genesys Cloud SDK client: %v", err)
    }

    _, err = client.GetOauthClient().GetToken()
    if err != nil {
        log.Fatalf("OAuth token acquisition failed: %v", err)
    }

    return client
}

func NewKnowledgeExecutor(client *platformclientv2.ApiClient, logger logr.Logger) (*KnowledgeExecutor, error) {
    auditFile, err := os.OpenFile("agentassist_audit.log", os.O_APPEND|os.O_CREATE|os.O_WRONLY, 0644)
    if err != nil {
        return nil, fmt.Errorf("failed to open audit log: %v", err)
    }
    return &KnowledgeExecutor{
        client:   client,
        logger:   logger,
        auditLog: auditFile,
        latency:  make([]time.Duration, 0),
    }, nil
}

func (ke *KnowledgeExecutor) writeAudit(event string, query string, err error) {
    logLine := fmt.Sprintf("[%s] Event: %s | Query: %s | Error: %v\n",
        time.Now().UTC().Format(time.RFC3339), event, query, err)
    _, writeErr := ke.auditLog.WriteString(logLine)
    if writeErr != nil {
        ke.logger.Error(writeErr, "Failed to write audit log")
    }
}

func validateSearchPayload(req KnowledgeSearchRequest) error {
    if req.MaxDepth < 1 || req.MaxDepth > 5 {
        return fmt.Errorf("maxDepth must be between 1 and 5, got %d", req.MaxDepth)
    }
    if req.MaxResults < 1 || req.MaxResults > 100 {
        return fmt.Errorf("maxResults must be between 1 and 100, got %d", req.MaxResults)
    }
    validAlgs := []string{"bm25", "tfidf", "semantic", "hybrid"}
    valid := false
    for _, alg := range validAlgs {
        if req.RankingAlgorithm == alg {
            valid = true
            break
        }
    }
    if !valid {
        return fmt.Errorf("rankingAlgorithm must be one of bm25, tfidf, semantic, hybrid")
    }
    if len(req.FallbackSources) > 0 {
        for _, src := range req.FallbackSources {
            if len(src) != 36 {
                return fmt.Errorf("fallback source ID must be a valid UUID, got %s", src)
            }
        }
    }
    return nil
}

func (ke *KnowledgeExecutor) ExecuteSearch(req KnowledgeSearchRequest) (*platformclientv2.Knowledgesearchresult, error) {
    err := validateSearchPayload(req)
    if err != nil {
        ke.writeAudit("PAYLOAD_VALIDATION_FAILED", req.Query, err)
        return nil, err
    }

    sdkReq := &platformclientv2.Postagentassistknowledgesearchrequestbody{
        Query:            &req.Query,
        MaxResults:       &req.MaxResults,
        RankingAlgorithm: &req.RankingAlgorithm,
        KnowledgeSourceIds: &req.FallbackSources,
        CallbackUrl:      &req.CallbackURL,
    }

    start := time.Now()
    var result *platformclientv2.Knowledgesearchresult
    var httpErr *platformclientv2.GenericSwaggerError

    maxRetries := 3
    for attempt := 0; attempt <= maxRetries; attempt++ {
        result, _, httpErr = ke.client.AgentassistApi.PostAgentassistKnowledgeSearch(context.Background(), sdkReq)
        if httpErr == nil {
            break
        }
        if httpErr.StatusCode == 429 {
            delay := time.Duration(1<<uint(attempt)) * time.Second
            ke.logger.Info("Rate limited (429), retrying", "attempt", attempt, "delay", delay)
            time.Sleep(delay)
            continue
        }
        ke.writeAudit("API_EXECUTION_FAILED", req.Query, httpErr)
        return nil, fmt.Errorf("agentassist API error: %v", httpErr)
    }

    elapsed := time.Since(start)
    ke.latency = append(ke.latency, elapsed)
    ke.total++

    if result == nil {
        return nil, fmt.Errorf("nil response from knowledge search")
    }

    err = ke.verifyAndGenerateSnippets(result)
    if err != nil {
        ke.writeAudit("SNIPPET_GENERATION_FAILED", req.Query, err)
        return nil, err
    }

    ke.writeAudit("EXECUTION_SUCCESS", req.Query, nil)
    return result, nil
}

func (ke *KnowledgeExecutor) verifyAndGenerateSnippets(result *platformclientv2.Knowledgesearchresult) error {
    if result.Results == nil || len(*result.Results) == 0 {
        return fmt.Errorf("empty result set returned")
    }

    knowledgeApi := platformclientv2.NewKnowledgeApi(ke.client)
    for idx := range *result.Results {
        res := &(*result.Results)[idx]
        if res.ArticleId == nil {
            continue
        }
        article, _, err := knowledgeApi.GetKnowledgeArticle(context.Background(), *res.ArticleId, "en-US", "full", "true", "true", nil)
        if err != nil {
            ke.logger.Error(err, "Failed to fetch article for verification", "articleId", *res.ArticleId)
            continue
        }
        if article.ContentType == nil || *article.ContentType != "application/json" {
            return fmt.Errorf("unsupported content type for article %s", *res.ArticleId)
        }
        snippetReq := &platformclientv2.Postknowledgearticlesidgeneratesnippetsrequestbody{
            Query:          &res.Query,
            MaxSnippetLength: platformclientv2.Int32(200),
        }
        _, _, err = knowledgeApi.PostKnowledgeArticleGenerateSnippets(context.Background(), *res.ArticleId, snippetReq)
        if err != nil {
            ke.logger.Error(err, "Snippet generation failed", "articleId", *res.ArticleId)
        }
    }
    return nil
}

func (ke *KnowledgeExecutor) ValidateIndexFreshness(sourceIDs []string) error {
    knowledgeApi := platformclientv2.NewKnowledgeApi(ke.client)
    maxAge := 24 * time.Hour
    for _, id := range sourceIDs {
        source, _, err := knowledgeApi.GetKnowledgeSource(context.Background(), id)
        if err != nil {
            return fmt.Errorf("failed to fetch knowledge source %s: %v", id, err)
        }
        if source.LastUpdated == nil {
            continue
        }
        age := time.Since(*source.LastUpdated)
        if age > maxAge {
            return fmt.Errorf("knowledge source %s is stale (last updated %s ago)", id, age.Round(time.Hour))
        }
    }
    return nil
}

func (ke *KnowledgeExecutor) VerifyRelevanceScoring(result *platformclientv2.Knowledgesearchresult) bool {
    minScore := 0.75
    validCount := 0
    if result.Results == nil {
        return false
    }
    for idx := range *result.Results {
        res := &(*result.Results)[idx]
        if res.Score != nil && *res.Score >= minScore {
            validCount++
        }
    }
    isAccurate := validCount > 0
    if isAccurate {
        ke.accurate++
    }
    return isAccurate
}

func (ke *KnowledgeExecutor) RegisterWebhookSync(callbackURL string) error {
    payload := map[string]interface{}{
        "event":       "agentassist.search.completed",
        "timestamp":   time.Now().UTC().Format(time.RFC3339),
        "callbackUrl": callbackURL,
        "status":      "active",
    }
    reqBody, _ := json.Marshal(payload)
    req, err := http.NewRequest(http.MethodPost, callbackURL, bytes.NewBuffer(reqBody))
    if err != nil {
        return fmt.Errorf("failed to create webhook sync request: %v", err)
    }
    req.Header.Set("Content-Type", "application/json")
    client := &http.Client{Timeout: 10 * time.Second}
    resp, err := client.Do(req)
    if err != nil {
        return fmt.Errorf("webhook sync failed: %v", err)
    }
    defer resp.Body.Close()
    if resp.StatusCode < 200 || resp.StatusCode >= 300 {
        return fmt.Errorf("webhook sync returned status %d", resp.StatusCode)
    }
    return nil
}

func main() {
    logger := stdr.New(log.New(os.Stdout, "", log.LstdFlags))
    client := initializeGenesysClient()
    executor, err := NewKnowledgeExecutor(client, logger)
    if err != nil {
        log.Fatalf("Failed to create executor: %v", err)
    }
    defer executor.auditLog.Close()

    req := KnowledgeSearchRequest{
        Query:            "how to reset agent password",
        MaxDepth:         3,
        RankingAlgorithm: "hybrid",
        FallbackSources:  []string{"a1b2c3d4-e5f6-7890-abcd-ef1234567890"},
        MaxResults:       10,
        CallbackURL:      "https://webhook.site/your-uuid",
    }

    err = executor.ValidateIndexFreshness(req.FallbackSources)
    if err != nil {
        log.Fatalf("Index freshness validation failed: %v", err)
    }

    result, err := executor.ExecuteSearch(req)
    if err != nil {
        log.Fatalf("Search execution failed: %v", err)
    }

    isAccurate := executor.VerifyRelevanceScoring(result)
    fmt.Printf("Search completed. Accurate results: %v\n", isAccurate)

    err = executor.RegisterWebhookSync(req.CallbackURL)
    if err != nil {
        log.Printf("Webhook sync warning: %v", err)
    }

    fmt.Printf("Total executions: %d, Accurate: %d, Avg Latency: %v\n",
        executor.total, executor.accurate, calculateAvgLatency(executor.latency))
}

func calculateAvgLatency(durations []time.Duration) time.Duration {
    if len(durations) == 0 {
        return 0
    }
    var total time.Duration
    for _, d := range durations {
        total += d
    }
    return total / time.Duration(len(durations))
}

Common Errors & Debugging

Error: 401 Unauthorized

• What causes it: Invalid OAuth client credentials, expired token, or missing agentassist:read scope.
• How to fix it: Verify GENESYS_CLIENT_ID and GENESYS_CLIENT_SECRET environment variables. Ensure the OAuth client is configured as confidential in the Genesys Cloud admin console.
• Code showing the fix: The initializeGenesysClient function forces an initial token fetch. If it fails, the program exits immediately with a clear error message.

Error: 403 Forbidden

• What causes it: The OAuth client lacks the required scopes, or the user associated with the client does not have Agent Assist permissions.
• How to fix it: Add agentassist:read, agentassist:write, knowledge:search, and knowledge:read to the OAuth client scopes. Assign the Agent Assist Administrator or Knowledge Administrator role to the service user.
• Code showing the fix: The Scopes array in Configuration explicitly lists all required permissions. The SDK returns a 403 response which the retry loop does not attempt to recover from, preventing infinite loops.

Error: 429 Too Many Requests

• What causes it: Exceeding the Genesys Cloud API rate limit (typically 100 requests per minute per client for Agent Assist endpoints).
• How to fix it: Implement exponential backoff. The ExecuteSearch method includes a retry loop that waits 1s, 2s, and 4s before retrying on 429 responses.
• Code showing the fix: The if httpErr.StatusCode == 429 block calculates delay := time.Duration(1<<uint(attempt)) * time.Second and sleeps before the next attempt.

Error: 422 Unprocessable Entity

• What causes it: Payload violates retrieval engine constraints, such as maxDepth > 5 or invalid ranking algorithm.
• How to fix it: Run the payload through validateSearchPayload before execution. The validation function enforces platform limits and returns descriptive errors.
• Code showing the fix: The validateSearchPayload function checks req.MaxDepth, req.MaxResults, req.RankingAlgorithm, and UUID format for fallback sources before the API call.

Official References

• Agent Assist API Documentation
• Knowledge API Documentation
• Go SDK Reference
• OAuth 2.0 Client Credentials Flow