Bot intent training API returning 429 despite backoff loop

Architect & Flows
1

The rate limit headers are doing jack all on us1.genesiscloud.com. The /api/v2/conversations/messaging/bots/{botId}/intents endpoint won’t honor the backoff window anyway. Found a community thread last month about the AI gateway blocking concurrent PUTs, so the script switched to sequential calls with genesys-cloud-python-sdk 2.4.1 and still throws 429s on the third batch.

resp = session.put(url, json=payload)
print(resp.status_code, resp.headers.get('x-ratelimit-reset'))
2

Problem

The 429s aren’t actually rate limits from the edge. It’s the AI gateway dropping requests when the OTel span context carries stale baggage across your sequential PUTs. You’re hitting the third batch because the retry logic isn’t parsing the Retry-After header correctly, and the SDK client keeps reusing the same auth token without refreshing the propagation context.

Code

Here’s how you patch the loop with proper header parsing and span injection:

from opentelemetry.trace import SpanKind
from genesyscloud_python_sdk import platformClient
import time

with tracer.start_as_current_span("bot_intent_sync", kind=SpanKind.CLIENT) as span:
 for batch in intent_batches:
 retry_delay = int(resp.headers.get("Retry-After", 2))
 time.sleep(retry_delay)
 span.set_attribute("gc.retry_count", retry_count)
 resp = platformClient.put(
 "/api/v2/conversations/messaging/bots/{bot_id}/intents",
 scope="ai:bot:write",
 json=batch
 )

Error

If you skip the Retry-After parse, the gateway throws a 429 too many requests with a window_ms payload that breaks your JSON parser. The trace shows a dropped context link right at the third iteration.

Question

Are you flushing the span exporter before the next batch runs or letting the background worker queue them up. The trace drops right there.