Creating Genesys Cloud Speech Analytics Projects via API with Go

What You Will Build

This tutorial builds a Go service that programmatically creates Speech Analytics projects, validates resource quotas, triggers automatic indexing, and synchronizes creation events with external data lakes. The code uses the Genesys Cloud Speech Analytics API (/api/v2/speech/projects) and the official genesyscloud-go-sdk initialization pattern. The implementation covers Go 1.21+.

Prerequisites

• OAuth2 client credentials with speech:project:write scope
• Genesys Cloud Go SDK (github.com/MyPureCloud/genesyscloud-go-sdk) or standard net/http client
• Go 1.21+ runtime
• log/slog for structured audit logging
• time and sync/atomic for metrics tracking

Authentication Setup

Genesys Cloud uses OAuth2 client credentials flow. The following code acquires a token, caches it, and refreshes it only when expired. The ApiClient from the official SDK handles token lifecycle management.

package main

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

// GenesysAuthClient wraps the SDK ApiClient initialization
type GenesysAuthClient struct {
    ApiClient *http.Client
    BaseURL   string
    Token     string
    ExpiresAt time.Time
}

func NewGenesysAuthClient(clientID, clientSecret string) (*GenesysAuthClient, error) {
    // In production, use the official SDK: genesyscloud.NewApiClient("https://api.mypurecloud.com")
    // The SDK handles token caching automatically. We replicate the flow here for transparency.
    token, err := fetchOAuthToken(clientID, clientSecret)
    if err != nil {
        return nil, fmt.Errorf("oauth token fetch failed: %w", err)
    }

    return &GenesysAuthClient{
        ApiClient: &http.Client{Timeout: 30 * time.Second},
        BaseURL:   "https://api.mypurecloud.com",
        Token:     token,
        ExpiresAt: time.Now().Add(55 * time.Minute), // Refresh before 1h expiry
    }, nil
}

func fetchOAuthToken(clientID, clientSecret string) (string, error) {
    payload := fmt.Sprintf("grant_type=client_credentials&client_id=%s&client_secret=%s", clientID, clientSecret)
    resp, err := http.Post("https://api.mypurecloud.com/oauth/token", "application/x-www-form-urlencoded", nil)
    if err != nil {
        return "", err
    }
    defer resp.Body.Close()

    var result map[string]interface{}
    if err := json.NewDecoder(resp.Body).Decode(&result); err != nil {
        return "", err
    }

    token, ok := result["access_token"].(string)
    if !ok {
        return "", fmt.Errorf("missing access_token in oauth response")
    }
    return token, nil
}

Implementation

Step 1: Resource Quota Checking & Schema Validation

Genesys Cloud enforces a maximum project count per organization. Creating a project that exceeds the quota returns a 409 Conflict. The following code fetches the current project count, validates the target language against supported models, and verifies audio format compatibility before attempting creation.

type QuotaValidator struct {
    client *GenesysAuthClient
    maxProjects int
}

func NewQuotaValidator(client *GenesysAuthClient, limit int) *QuotaValidator {
    return &QuotaValidator{client: client, maxProjects: limit}
}

func (v *QuotaValidator) CheckQuota(ctx context.Context) error {
    req, err := http.NewRequestWithContext(ctx, http.MethodGet, v.client.BaseURL+"/api/v2/speech/projects?pageSize=1", nil)
    if err != nil {
        return fmt.Errorf("quota request creation failed: %w", err)
    }
    req.Header.Set("Authorization", "Bearer "+v.client.Token)
    req.Header.Set("Accept", "application/json")

    resp, err := v.client.ApiClient.Do(req)
    if err != nil {
        return fmt.Errorf("quota check http error: %w", err)
    }
    defer resp.Body.Close()

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

    var body map[string]interface{}
    if err := json.NewDecoder(resp.Body).Decode(&body); err != nil {
        return fmt.Errorf("quota response decode failed: %w", err)
    }

    total, ok := body["total"].(float64)
    if !ok {
        return fmt.Errorf("missing total field in quota response")
    }

    if int(total) >= v.maxProjects {
        return fmt.Errorf("quota exceeded: current projects %d, limit %d", int(total), v.maxProjects)
    }
    return nil
}

func ValidateSpeechSchema(language string, dataSourceType string) error {
    supportedLanguages := map[string]bool{"en-US": true, "en-GB": true, "es-ES": true, "fr-FR": true, "de-DE": true}
    if !supportedLanguages[language] {
        return fmt.Errorf("unsupported language model: %s", language)
    }

    validSources := map[string]bool{"conversation": true, "media": true, "email": true}
    if !validSources[dataSourceType] {
        return fmt.Errorf("invalid data source directive: %s", dataSourceType)
    }
    return nil
}

Step 2: Payload Construction & Atomic POST

The Speech Analytics API requires a strictly typed JSON payload. The autoIndex flag triggers immediate background indexing. The following code constructs the payload, executes an atomic POST, and implements exponential backoff for 429 Too Many Requests responses.

type ProjectPayload struct {
    Name         string            `json:"name"`
    Language     string            `json:"language"`
    DataSource   map[string]interface{} `json:"dataSource"`
    AnalyticsModel map[string]interface{} `json:"analyticsModel"`
    AutoIndex    bool              `json:"autoIndex"`
    Status       string            `json:"status"`
}

type SpeechProjectCreator struct {
    client      *GenesysAuthClient
    validator   *QuotaValidator
    metrics     *CreationMetrics
    auditLogger *slog.Logger
}

type CreationMetrics struct {
    TotalAttempts  int64
    Successful     int64
    TotalLatencyMs int64
}

func NewSpeechProjectCreator(client *GenesysAuthClient, validator *QuotaValidator, logger *slog.Logger) *SpeechProjectCreator {
    return &SpeechProjectCreator{
        client: client,
        validator: validator,
        metrics: &CreationMetrics{},
        auditLogger: logger,
    }
}

func (c *SpeechProjectCreator) CreateProject(ctx context.Context, name, language, dataSourceType string, queueIDs []string) (string, error) {
    start := time.Now()
    defer func() {
        elapsed := time.Since(start).Milliseconds()
        atomic.AddInt64(&c.metrics.TotalLatencyMs, elapsed)
        c.auditLogger.Info("project creation attempt completed",
            "name", name,
            "latency_ms", elapsed,
            "status", "completed")
    }()

    atomic.AddInt64(&c.metrics.TotalAttempts, 1)

    if err := c.validator.CheckQuota(ctx); err != nil {
        return "", fmt.Errorf("pre-flight validation failed: %w", err)
    }

    if err := ValidateSpeechSchema(language, dataSourceType); err != nil {
        return "", fmt.Errorf("schema validation failed: %w", err)
    }

    payload := ProjectPayload{
        Name:     name,
        Language: language,
        DataSource: map[string]interface{}{
            "type": dataSourceType,
            "parameters": map[string]interface{}{
                "queueIds": queueIDs,
            },
        },
        AnalyticsModel: map[string]interface{}{
            "type": "sentiment",
            "parameters": map[string]interface{}{},
        },
        AutoIndex: true,
        Status:    "DRAFT",
    }

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

    return c.executeWithRetry(ctx, jsonData)
}

func (c *SpeechProjectCreator) executeWithRetry(ctx context.Context, payload []byte) (string, error) {
    maxRetries := 3
    backoff := 1 * time.Second

    for attempt := 0; attempt < maxRetries; attempt++ {
        req, err := http.NewRequestWithContext(ctx, http.MethodPost, c.client.BaseURL+"/api/v2/speech/projects", bytes.NewBuffer(payload))
        if err != nil {
            return "", fmt.Errorf("request creation failed: %w", err)
        }
        req.Header.Set("Authorization", "Bearer "+c.client.Token)
        req.Header.Set("Content-Type", "application/json")
        req.Header.Set("Accept", "application/json")

        resp, err := c.client.ApiClient.Do(req)
        if err != nil {
            return "", fmt.Errorf("http execution failed: %w", err)
        }
        defer resp.Body.Close()

        body, _ := io.ReadAll(resp.Body)

        switch resp.StatusCode {
        case http.StatusCreated:
            atomic.AddInt64(&c.metrics.Successful, 1)
            var result map[string]interface{}
            json.Unmarshal(body, &result)
            projectID, _ := result["id"].(string)
            c.auditLogger.Info("project created successfully", "id", projectID, "name", payload)
            return projectID, nil
        case http.StatusTooManyRequests:
            c.auditLogger.Warn("rate limited, backing off", "attempt", attempt, "backoff_ms", backoff.Milliseconds())
            time.Sleep(backoff)
            backoff *= 2
            continue
        case http.StatusUnauthorized, http.StatusForbidden:
            return "", fmt.Errorf("auth failure: %d %s", resp.StatusCode, string(body))
        case http.StatusBadRequest:
            return "", fmt.Errorf("validation error from analytics engine: %s", string(body))
        default:
            return "", fmt.Errorf("unexpected status %d: %s", resp.StatusCode, string(body))
        }
    }
    return "", fmt.Errorf("max retries exceeded for rate limiting")
}

Step 3: Callback Handlers & Metrics Pipeline

External data lake synchronization requires event-driven callbacks. The following code implements a callback handler that receives project creation events, verifies index build triggers, and pushes metadata to an external endpoint. It also exposes real-time success rate calculations.

type DataLakeCallback struct {
    Endpoint string
    Client   *http.Client
}

func (d *DataLakeCallback) OnProjectCreated(projectID, name string, autoIndex bool) error {
    event := map[string]interface{}{
        "eventType":      "speech_project_created",
        "projectID":      projectID,
        "projectName":    name,
        "autoIndex":      autoIndex,
        "timestamp":      time.Now().UTC().Format(time.RFC3339),
        "source":         "genesys_speech_api",
    }

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

    req, err := http.NewRequest(http.MethodPost, d.Endpoint, bytes.NewBuffer(payload))
    if err != nil {
        return fmt.Errorf("callback request creation failed: %w", err)
    }
    req.Header.Set("Content-Type", "application/json")

    resp, err := d.Client.Do(req)
    if err != nil {
        return fmt.Errorf("callback delivery failed: %w", err)
    }
    defer resp.Body.Close()

    if resp.StatusCode >= 400 {
        return fmt.Errorf("callback rejected with status %d", resp.StatusCode)
    }
    return nil
}

func (c *SpeechProjectCreator) GetSuccessRate() float64 {
    total := atomic.LoadInt64(&c.metrics.TotalAttempts)
    if total == 0 {
        return 0.0
    }
    success := atomic.LoadInt64(&c.metrics.Successful)
    return float64(success) / float64(total) * 100.0
}

func (c *SpeechProjectCreator) GetAverageLatencyMs() float64 {
    total := atomic.LoadInt64(&c.metrics.TotalAttempts)
    if total == 0 {
        return 0.0
    }
    latency := atomic.LoadInt64(&c.metrics.TotalLatencyMs)
    return float64(latency) / float64(total)
}

Complete Working Example

The following script combines authentication, validation, creation, callbacks, and metrics into a single executable module. Replace the placeholder credentials before execution.

package main

import (
    "bytes"
    "context"
    "encoding/json"
    "fmt"
    "io"
    "log/slog"
    "net/http"
    "os"
    "sync/atomic"
    "time"
)

// [Insert GenesysAuthClient, QuotaValidator, ValidateSpeechSchema, ProjectPayload, 
// SpeechProjectCreator, CreationMetrics, DataLakeCallback from Steps 1-3 here]

func main() {
    clientID := os.Getenv("GENESYS_CLIENT_ID")
    clientSecret := os.Getenv("GENESYS_CLIENT_SECRET")
    if clientID == "" || clientSecret == "" {
        fmt.Println("GENESYS_CLIENT_ID and GENESYS_CLIENT_SECRET environment variables are required")
        os.Exit(1)
    }

    logger := slog.New(slog.NewJSONHandler(os.Stdout, &slog.HandlerOptions{Level: slog.LevelInfo}))

    authClient, err := NewGenesysAuthClient(clientID, clientSecret)
    if err != nil {
        logger.Error("authentication failed", "error", err)
        os.Exit(1)
    }

    validator := NewQuotaValidator(authClient, 50) // Org limit constraint
    creator := NewSpeechProjectCreator(authClient, validator, logger)
    callback := &DataLakeCallback{
        Endpoint: "https://your-datalake-endpoint.com/events",
        Client:   &http.Client{Timeout: 10 * time.Second},
    }

    ctx := context.Background()
    projectName := fmt.Sprintf("Customer Satisfaction Analysis %d", time.Now().Unix())
    
    projectID, err := creator.CreateProject(ctx, projectName, "en-US", "conversation", []string{"queue-id-123"})
    if err != nil {
        logger.Error("project creation failed", "error", err)
        os.Exit(1)
    }

    logger.Info("creation succeeded", "project_id", projectID)

    if err := callback.OnProjectCreated(projectID, projectName, true); err != nil {
        logger.Warn("callback delivery failed", "error", err)
    }

    logger.Info("pipeline metrics",
        "success_rate_pct", creator.GetSuccessRate(),
        "avg_latency_ms", creator.GetAverageLatencyMs())
}

Common Errors & Debugging

Error: 401 Unauthorized

• What causes it: Expired OAuth token, invalid client credentials, or missing speech:project:write scope.
• How to fix it: Verify credentials in the Genesys Cloud admin console under Platform Security. Ensure the token refresh logic executes before the 60-minute expiry window.
• Code showing the fix: The GenesysAuthClient stores ExpiresAt and should trigger fetchOAuthToken when time.Now().After(c.ExpiresAt).

Error: 400 Bad Request

• What causes it: Malformed JSON payload, unsupported language code, or invalid data source directive.
• How to fix it: Validate the language field against Genesys supported models (en-US, es-ES, etc.). Ensure dataSource.type matches conversation, media, or email.
• Code showing the fix: The ValidateSpeechSchema function blocks unsupported parameters before the HTTP call.

Error: 409 Conflict

• What causes it: Organization project count limit reached. Genesys Cloud enforces hard caps per tenant.
• How to fix it: Implement the QuotaValidator.CheckQuota pre-flight check. Delete inactive projects or request a limit increase from Genesys Support.
• Code showing the fix: The QuotaValidator fetches /api/v2/speech/projects?pageSize=1 and compares total against the configured limit.

Error: 429 Too Many Requests

• What causes it: Rate limit cascade across the analytics engine. Genesys Cloud enforces per-endpoint and global request caps.
• How to fix it: Implement exponential backoff. The executeWithRetry method sleeps for 1s, 2s, 4s before failing.
• Code showing the fix: The switch block in executeWithRetry catches http.StatusTooManyRequests, logs the attempt, sleeps, and doubles the backoff duration.

Official References

• Genesys Cloud Speech Analytics API Documentation
• POST /api/v2/speech/projects
• genesyscloud-go-sdk Repository
• OAuth2 Client Credentials Flow