We’re building an OpenTelemetry collector that traces Genesys Cloud conversation lifecycles. The goal is to capture the initial conversationId and inject it into downstream Data Action spans. I’m hitting a wall deciding which endpoint to poll for the latest conversation state.
The /api/v2/conversations endpoint returns real-time data, but it seems heavy for batch processing. On the other hand, /api/v2/analytics/conversations offers historical aggregates but feels like a black box for granular span propagation. I need to know which one provides the consistent conversationId payload required for context injection without timing out.
Here’s the Python snippet I’m using to test the difference:
import requests
# Attempt 1: Real-time API
resp_live = requests.get("https://mydomain.genesiscloud.com/api/v2/conversations?pageSize=1", headers={"Authorization": f"Bearer {token}"})
print(resp_live.json())
# Attempt 2: Analytics API
params = {
"intervalStart": "2023-10-01T00:00:00.000Z",
"intervalEnd": "2023-10-01T23:59:59.999Z",
"metrics": ["conversationCount"],
"groupBy": ["conversationId"]
}
resp_analytics = requests.get("https://mydomain.genesiscloud.com/api/v2/analytics/conversations/summary", params=params, headers={"Authorization": f"Bearer {token}"})
print(resp_analytics.json())
The analytics call returns a 200 OK but the payload structure is totally different. It gives me aggregated counts, not the individual conversation objects I need to extract the ID for my OTel span. The real-time API works, but I’m getting 429 Too Many Requests errors when scaling up the collector.
Is there a specific use case where /api/v2/analytics/conversations returns individual conversation details? Or am I forced to use the real-time API and handle rate limiting? I need to propagate the trace context accurately, and missing IDs breaks the entire distributed trace. The docs don’t clarify if the analytics endpoint can be used for point-in-time ID retrieval.
I’ve tried tweaking the intervalStart to current time, but the analytics API seems to require a historical window. This feels like a gap in the API design for observability tools. What’s the standard pattern here? I don’t want to hit the rate limit wall every time a new conversation starts. Is there a webhook alternative that exposes the ID immediately? I’ve looked at the EventBridge docs, but the payload schema is vague on conversation metadata. I need a concrete answer on which API path to hardcode in the collector config. The current setup is fragile. I’m losing traces. I need to know if analytics can serve this purpose or if I’m stuck with the real-time endpoint and exponential backoff.