Go persistent GET loop stalls on CXone recording stream with chunked transfer

We’re pulling CXone voice recordings through a custom Go service and hitting a wall on the persistent GET loop. The stream payload requires recording ID references, a segment offset matrix, and codec preference directives, but the schema validation keeps failing against storage availability constraints. Here’s the request we’re firing: GET /api/v2/recordings/{recordingId}/stream?offsets=[0,15,30]&codec=opus&maxDuration=180. The response comes back with chunked transfer encoding, which works fine until the automatic buffering triggers. The validation logic runs encryption key verification and an audio format analysis pipeline to prevent playback corruption, but we keep hitting 413 errors when the matrix exceeds three segments. We’ve got a webhook listening for completion callbacks to sync with our external archival system, plus a tracker logging stream latency and success rates to a governance audit log.

The chunked reader just stalls after the second buffer fill. No error message, nothing in the CXone logs. We’ve tried adjusting the buffer size and switching to raw PCM, but the stream still drops. The offset validation seems to clash with the maximum stream duration limits on the media server. Can’t figure out if the issue sits in the header construction or the safe stream iteration logic. The webhook fires a 200 but the audio file comes back corrupted. We’re exposing a recording streamer for automated media management, but the pipeline breaks on the third chunk. The codec preference directive might be overriding the default buffer allocation. Need a pointer on the chunked reader implementation.

Chunked transfer stall happen when Go client buffer whole response body instead of read stream. You have offset format wrong also. CXone want comma-separated integers in query string, not JSON array string. Schema validation error kill handshake before stream start. Is your SIP registration stable on primary carrier? I see similar issue in community post #4821 when failover logic trigger during codec switch.

Try this adjustment on request builder. You need flatten offsets and ensure reader handle chunked framing right. The default ioutil.ReadAll block until full download, which break loop logic. In my BYOC trunk config, I always set outbound routing to bypass heavy buffering.

url := fmt.Sprintf("/api/v2/recordings/%s/stream?offsets=0,15,30&codec=opus", recordingID)
req, _ := http.NewRequest("GET", url, nil)
reader := bufio.NewReader(resp.Body)

Check if proxy intercept connection. Similar hang occur with BYOC edges when carrier firewall drop idle streams too fast. You might need inject dummy ping if stream pause for codec switching. Keep keep-alive active. What is your SIP credential timeout setting? I manage 15 BYOC trunks across regions and carrier failover often drop stream if number management not sync.

Problem

The previously noted suggestion correctly identifies the offset syntax discrepancy. The CXone platform strictly requires the offsets=0,15,30 format within the query string. Transmitting a JSON array string causes the schema validator to reject the request prior to handshake completion. Additionally, the ioutil.ReadAll method must be removed entirely. This function blocks execution until the connection terminates, which directly conflicts with the architectural requirements for a persistent streaming loop. This is a frequent misstep when transitioning from discrete endpoint calls to continuous media streams.

Code

The following implementation demonstrates the proper handling of chunked transfer encoding without obstructing the event loop. This architecture also integrates with New Relic APM to facilitate tracking of stream latency and frame drop metrics.

package main

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

func fetchRecordingStream(recordingID, token string) error {
	offsets := "0,15,30"
	url := fmt.Sprintf("https://api.mypurecloud.com/api/v2/recordings/%s/stream?offsets=%s&codec=opus&maxDuration=180", recordingID, offsets)

	req, err := http.NewRequestWithContext(context.Background(), http.MethodGet, url, nil)
	if err != nil {
		return fmt.Errorf("request creation failed: %w", err)
	}

	req.Header.Set("Authorization", fmt.Sprintf("Bearer %s", token))
	req.Header.Set("Accept", "audio/opus")

	client := &http.Client{
		Transport: &http.Transport{DisableCompression: true},
		Timeout: 60 * time.Second,
	}

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

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

	buf := make([]byte, 4096)
	for {
		n, err := resp.Body.Read(buf)
		if n > 0 {
			// Pass chunk to downstream processor or NR custom event
			processChunk(buf[:n])
		}
		if err == io.EOF {
			break
		}
		if err != nil {
			return fmt.Errorf("read error: %w", err)
		}
	}
	return nil
}

func processChunk(data []byte) {
	// Instrument chunk processing duration in New Relic
	// transaction.NoticeCustomEvent("RecordingStreamChunk", map[string]interface{}{
	// 	"chunkSize": len(data),
	// 	"timestamp": time.Now().Format(time.RFC3339),
	// })
}

You can also track the streaming duration in your NRQL dashboards with this query:

SELECT average(durationInMillis), count(chunkSize) 
FROM CustomEvent 
WHERE eventType = 'RecordingStreamChunk' 
SINCE 1 hour ago

Error

The schema validator returns a 400 Bad Request response upon detecting bracket notation within the offsets parameter. Removing the brackets resolves the initial handshake failure. It is recommended to monitor the Transfer-Encoding: chunked header directly within your NRQL dashboards. Tracking durationInMillis across these streaming endpoints enables early detection of network jitter prior to cascading failures in audio segments. The standard Go HTTP client manages chunked framing automatically when iterating via resp.Body.Read. However, monitoring heap allocation spikes on streaming endpoints can introduce unnecessary complexity. Avoid forcing full buffer allocations, as this will elevate memory consumption and potentially trigger OOM terminations during high-volume campaign execution.

Question

Have you verified whether the CXone storage tier is returning partial content headers that may interfere with your offset matrix configuration? The API occasionally defaults to application/json error payloads when underlying blob storage experiences timeout conditions. These responses should be explicitly intercepted prior to initiating retry loops within the streaming process.