403 Forbidden: {“code”:“AUTHENTICATION_FAILED”,“message”:“Consent token invalid for predictive queue assignment”}
Running Genesys Cloud v2024.07 in Frankfurt. Calls drop before the media server picks them up. GDPR Article 22 mandates explicit consent logging, yet the attributes payload won’t map to the correct decision node. Console shows jack all after the timeout. The flow builder says predictive_queue but the API calls it outbound_campaign. It’s got the residency locked down, yet the consent recording step just loops.
Are you passing the consent token through a Lambda Data Action or straight to the flow builder? It’s usually the execution role IAM policy missing the sqs:SendMessage permission for the EventBridge webhook. Trust relationships get ignored.
2024-08-12T14:32:01Z ERROR TokenValidationFailed: …
Type: AWS::IAM::Policy
PolicyDocument: ...
You’re treating the predictive_queue routing group like the outbound_campaign API endpoint. Fix the role bindings and redeploy the stack.
Are you pushing the consent token directly into the interaction attributes or baking it into the OAuth2 scope for the routing client? The IAM policy fix above won’t touch this. The Frankfurt region throws that 403 when the token payload misses the required gdpr_consent flag before the predictive queue even evaluates the decision node. You’re probably seeing the outbound_campaign mismatch because the flow builder defaults to legacy routing when the consent validation fails upstream.
Token validation happens before the media server handshake. If your data action drops the consent object, the routing engine just kills the call. Here’s how to force the correct payload structure:
- Strip the legacy predictive_queue reference from your flow builder configuration.
- Map the consent token to the custom_attributes payload using the exact gdpr_article_22 schema.
- Validate the token structure with a quick Python check before it hits the routing API.
import json
# Corrected payload structure for predictive routing consent
routing_payload = {
"queueId": "your-queue-id-here",
"attributes": {
"gdpr_consent": "true",
"gdpr_article_22": "explicit",
"consent_token": "eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9..."
},
"routingType": "predictive"
}
# Use platformClient.auth_client.post_oauth2_token() to get the bearer token
# Then POST to /api/v2/routing/outboundcampaigns/{id}/calls
# Required scopes: routing:outboundcall:write analytics:read
The PureCloudPlatformClientV2 SDK handles the auth handshake, but you still need routing:outboundcall:write and analytics:read scopes attached to the client credentials. Missing those triggers the exact 403 you posted. Honestly, the console just spits errors when the scope validation fails on the first hop. You’ll have to rebuild the query object manually. The Frankfurt endpoint caches bad tokens for twenty minutes anyway.
403 Forbidden: {“code”:“AUTHENTICATION_FAILED”,“message”:“Consent token invalid for predictive queue assignment”}
Cause:
The consent validator rejects the request because the gdpr_consent flag isn’t attached to the interaction attributes before the routing decision executes. You’re passing the token to the outbound_campaign endpoint, but the predictive queue logic reads from the interaction context. The flow builder defaults to looking for that attribute on the interaction object. If it’s missing, the call drops after the timeout.
Solution:
Inject the consent data via a Data Action right before the predictive routing node. Use the put-interaction operation to update the attributes map.
{
"operation": "put-interaction",
"body": {
"attributes": {
"gdpr_consent": true,
"consent_token": "{{body.token_value}}"
}
}
}
The API path is /api/v2/interactions/{{interaction.id}}/attributes. Make sure the timeout config on the Data Action is set to 5000ms. The 403 clears once the attribute exists. You’ll see the decision node route correctly after that. Console stays empty otherwise.