Trying to understand why my EventBridge rule isn’t triggering despite the integration being active. I’ve configured the GC outbound integration to push to EventBridge using the conversation domain. The rule uses a pattern matching detail-type to Genesys Cloud Conversation Event and filters on detail.source equal to genesys.cloud. However, the detail payload structure in the raw event log shows nested objects that don’t align with my attribute matching. Here is the snippet I’m seeing in CloudWatch Logs: {"detail": {"eventType": "conversation:update", "entityId": "abc-123", "source": "genesys.cloud"}}. My rule filter is: {"detail-type": ["Genesys Cloud Conversation Event"], "detail": {"eventType": ["conversation:update"]}}. The rule status is ENABLED but Invocations remains 0. I verified the IAM role attached to the target Lambda has events:PutTargets and lambda:InvokeFunction permissions. The integration endpoint in GC returns 200 OK during setup. Is there a specific schema version mismatch or do I need to adjust the detail filter to account for the nested source field? I’m using the standard genesyscloud event source. Any insights on the exact JSON structure expected in the EventBridge filter pattern for these specific webhook events would be appreciated. I’ve checked the API docs for /api/v2/integrations/eventbridge but the payload examples are minimal.
If I recall correctly, the EventBridge matching logic is failing because you are filtering on a top-level key that doesn’t exist in the actual payload structure. The 400-level matching failure usually stems from incorrect JSON path syntax in the rule pattern. Genesys Cloud events do not use detail.source as a simple string key; the source is embedded within the detail object, but the critical differentiator is the eventType field inside that same object. Your current rule pattern is likely too generic or structurally misaligned with the raw JSON schema Genesys pushes to AWS.
The correct pattern must explicitly target the detail object’s internal structure. You need to match the eventType specifically, such as conversation:started or conversation:ended, rather than relying on a generic source check. Here is the working EventBridge rule pattern JSON that correctly parses the Genesys payload:
{
"source": ["genesys.cloud"],
"detail-type": ["Genesys Cloud Conversation Event"],
"detail": {
"eventType": ["conversation:started"],
"environmentId": ["<YOUR_ENVIRONMENT_ID>"]
}
}
Stop using detail.source in your filter. It is redundant and often causes silent failures if the schema versioning changes slightly. The environmentId filter is mandatory to prevent cross-tenant noise if you are managing multiple instances. If your rule still fails, enable CloudWatch Logs for the EventBridge rule and inspect the “Matching Events” vs “Non-matching Events”. The non-matching logs will show exactly which key path failed validation. This is a standard configuration error, not an API bug. Fix the JSON path syntax and the rule will trigger immediately.
My usual workaround is to defining the EventBridge rule directly in my Pulumi TypeScript stack to ensure the JSON path syntax matches the actual payload structure Genesys Cloud emits, rather than guessing via the console. The suggestion about the detail object is correct, but you need to target the specific eventType field inside detail to avoid false positives or silent failures.
Here is how I define the rule in my IaC to guarantee the pattern matches the conversation domain events correctly. This uses the AWS SDK for Pulumi to set the event pattern explicitly.
import * as aws from "@pulumi/aws";
const genesysConversationRule = new aws.events.Rule("genesysConversationRule", {
description: "Match GC Conversation Events",
eventPattern: {
source: ["genesys.cloud"],
detailType: ["Genesys Cloud Conversation Event"],
detail: {
eventType: ["conversation.created", "conversation.updated"]
}
},
state: "ENABLED",
targets: [genesysLambdaTarget] // Your lambda or queue target
});
The key here is that detail is an object, not a string key, so your pattern must reflect that hierarchy. If you filter on detail.source, it fails because source is not a direct child of detail in the event payload; it’s the root source field that equals genesys.cloud. Always verify the raw event sample in the EventBridge console’s “Test Event Pattern” feature before deploying. This approach removes ambiguity and ensures your infrastructure definition matches the exact JSON structure Genesys Cloud pushes.
This has the hallmarks of a classic case of misaligned JSON path syntax in the EventBridge rule definition. The suggestion above regarding the detail object structure is correct, but you must explicitly target the nested eventType field to avoid silent failures. Genesys Cloud events do not expose detail.source as a simple top-level key for filtering purposes; instead, the critical differentiator is the eventType string within the detail object. If your filter relies on static string matching for genesys.cloud, it will likely fail against the actual payload structure emitted by the outbound integration. You need to verify the exact event payload structure before trusting static filters. Inspect actual conversation.end payloads via the EventBridge console to confirm the nested routing.queue.id path. Valid patterns require strict adherence to the JSON path syntax documented in the Genesys Cloud EventBridge Integration Guide. Ensure your rule matches detail.eventType exactly, including case sensitivity.
My usual workaround is to validating the JSON path against the raw event payload. The detail.eventType field is the correct filter. My .NET dashboard code confirms conversation events nest this data. Use detail.eventType equals conversation:created in the rule pattern. This matches the actual Genesys Cloud schema.