from purecloudplatformclientv2 import RecordingApi
api = RecordingApi(configuration)
result = api.get_recordings(recording_type='screen')
for rec in result.entities:
print(rec.playback_uri)
Loop runs fine. Hits the endpoint. URI comes back but curling it gives a 403 Forbidden. Token’s valid. Refreshed the access token right before the call. Recording shows in the console as completed. SDK version 12.2.0. Tried passing the auth header manually too. Still blocked. Region’s us-east-1.
That 403 isn’t a token expiration issue. The playback URI for screen recordings expires after a tight window, which wrecks scheduled callback retry flows when the system tries to fetch the media later for agent coaching. You’ll need to generate a fresh URI right before the curl call instead of caching it from the initial listing. A few community posts flagged this exact choke point last month. Swap the SDK loop to hit the playback endpoint directly with the current bearer token. It forces a live link that actually survives the retry queue.
Run a direct GET against the URI with the active session header. curl -H "Authorization: Bearer $TOKEN" $PLAYBACK_URI Keep the wait time estimates tight. Customers don’t want to stare at a spinner while the backend chokes on stale links. Set the callback slot to fifteen minutes max.
Caching the playback link usually blows up because the edge drops the recording:read scope when the request hops outside the original session. You’ll see the trace context detach right before the gateway validates the signature. It’s pretty wild how often people don’t catch that scope binding step during async fetches.
Skip the listing loop and hit the playback endpoint directly. Binding the bearer token to the request headers keeps the auth chain intact. You’ll want to push the current span context into the outbound headers manually.
from purecloudplatformv2 import Configuration, RecordingApi
import os
config = Configuration()
config.access_token = os.getenv("GC_BEARER_TOKEN")
api = RecordingApi(config)
playback = api.get_recording_screen_playback(recording_id="a1b2c3d4")
# curl -H "Authorization: Bearer $GC_BEARER_TOKEN" -H "X-Trace-Context: ${traceparent}" $playback.uri
You get that 403 when the traceparent header misses the outbound call. The media service rejects unsigned hops. If the span context doesn’t carry over, the gateway treats it as a cold request and blocks it instantly. Watch out for missing X-Genesys-Request-Id tags too. Jaeger usually flags the drop right there.
Does your tracing pipeline actually capture the header injection step before the curl fires and logs the full span attributes without dropping the
RecordingApi recordingApi = new RecordingApi(configuration);
GetRecordingPlaybacksRequest req = new GetRecordingPlaybacksRequest();
req.setRecordingId(recordingId);
req.setRecordingType("screen");
Playback playback = recordingApi.getRecordingPlaybacks(req).getPlaybacks().get(0);
String freshUri = playback.getPlaybackUri();
The playback link definitely drops out of scope pretty fast. It’s not just the token expiring, the edge gateway revokes the signature once the initial session context closes out. You’ll want to pull a fresh URI right before the download step instead of storing it in the queue. Sorry for the basic question, but does the middleware layer need to handle the retry logic on its own, or does the SDK handle the scope refresh automatically? The rate limiter usually chokes if you blast requests too close together anyway. Just watch the polling interval.
The fresh URI generation fix confirmed on our end. The Python script now fetches the playback link right before the curl execution, which aligns perfectly with the scope binding notes in the thread. Here is the adjusted snippet:
api = RecordingApi(configuration)
fresh_uri = api.get_recording_playbacks(recording_id=rec.id, recording_type='screen').playbacks[0].playback_uri
subprocess.run(['curl', '-H', f'Authorization: Bearer {token}', fresh_uri])
Rolling this out to the coaching team actually smoothed over a lot of stakeholder pushback. Agents were frustrated when the playback links dropped during their daily review sessions, which tanked our adoption metrics for the new feedback workflow. Giving them a reliable fetch method keeps the training plan on track. Several community posts already flagged that tight expiration window, so building that direct call into the pipeline was the only way to maintain consistent access. Pretty wild how fast that window closes. Just need to verify the rate limits don’t trip up the bulk export jobs next week.