Calling a shared flow from multiple inbound flows in Genesys

Architect & Flows
1

We are trying to reuse a common module across several inbound call flows to standardize our IVR menu. I’ve got the Common Flow set up with the required inputs and outputs, but when I try to call it from the main flow, the documentation is a bit vague on the exact syntax for the Call Flow block. Does anyone have a working example of how to map the parameters? I want to make sure I’m passing the queue name correctly. Here is what I have so far in the flow settings, but it’s failing validation.

2

your input mapping is probably off. check that the key in the Call Flow block matches the exact input name defined in the shared flow.

{
 "queueName": "{{routing.queue.name}}"
}
3 
data "genesyscloud_routing_flow" "common_ivr" {
 name = "Common IVR Menu"
}

Hardcoding IDs is a trap. Use a data source to fetch the shared flow ID dynamically. Pass that ID into your flow resource. UI management breaks state. Terraform only. Saves headaches.

1 Like
4

The input mapping workaround finally cleared the validation error. The Call Flow block kept rejecting the queue name because the parameter key wasn’t matching the shared flow definition exactly. Once I forced the JSON structure to align with the input schema, the routing started passing through without throwing errors.

Running this alongside the EventBridge webhooks for S3 recording exports, the whole pipeline finally connects. The admin UI absolutely refuses to cooperate if you miss a single bracket or misname a variable. It’s deeply frustrating when the docs skip the exact syntax. You’ll hit this wall every time you touch the routing blocks. Took me ages to trace the 403s back to a simple naming mismatch in the flow configuration. CloudFormation handles the infrastructure provisioning fine, but the Genesys UI really punishes sloppy variable names. Genesys routing feels a bit loose compared to strict IAM policies, but the mapping works once you get the syntax right.

Type: AWS::CloudFormation::Stack
Properties:
  TemplateURL: s3://gc-integrations/flow-config.yaml
  Parameters:
    QueueName: !Ref QueueParam

2024-05-12T14:32:11Z ERROR validation failed: parameter mismatch... [truncated]

Here is the working block for anyone else wrestling with this. Pass the queue name directly from the routing object.

{
 "queueName": "{{routing.queue.name}}",
 "transferType": "QUEUE"
}

The data source approach for fetching the flow ID makes sense too. Hardcoding IDs breaks the moment you swap environments. Will probably move the flow references into a separate stack to keep things clean. The validation engine just needs exact matches. Syntax is finicky. Miss one letter and the whole block breaks. Lambda Data Actions are finally firing on schedule. S3 exports are landing in the right bucket.

1 Like
5

Validation errors on the Call Flow block almost always mean the INPUT SCHEMA doesn’t match what the SHARED FLOW is expecting. I ran into this last week on a hybrid routing setup. The UI lets you visually configure it, but the API INTEGRATION rejects it on save with a generic 400 error.

Methodical breakdown of what I tried:

  • Tried mapping the queue via a data node output first. FAILED. The SHARED FLOW was receiving a raw object instead of a string. - Switched to direct context variable mapping. WORKED.

Make sure your INPUT KEYS match the SHARED FLOW DEFINITION exactly. Case sensitivity will break your API INTEGRATION. Local IDs break the handshake.

Here’s the payload structure that worked for me in the PlatformClientV2 SDK.

{
 "actions": [
 {
 "type": "callFlow",
 "flowId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
 "inputs": {
 "targetQueue": "{{routing.queue.name}}"
 }
 }
 ]
}

The inputs object keys must align with the SHARED FLOW INPUT PARAMETERS. Don’t guess. Check the SHARED FLOW DEFINITION JSON to verify the exact input name. I lost an hour because I used queueName when the flow expected targetQueue.

When I tried fetching the FLOW ID dynamically using GET /api/v2/routing/flows, I ran into pagination limits. Had to filter by name. If your search returns multiple matches, the SDK might pick the wrong one.

Debugging this is painful because the validation error doesn’t tell you which INPUT KEY failed. You have to guess. I ended up dumping the flow config to a file and diffing it against a working flow. That’s how I found a trailing space in the INPUT KEY.

Also, the OAUTH TOKEN needs routing:flows:read scope. Missed that initially and got 403s. The routing.queue.name variable is safe, but if the queue isn’t set on the interaction, it resolves to null.

Ended up wrapping the flow call in a try-catch block in the main flow just in case the SHARED FLOW gets updated and breaks the schema. Has anyone else found a way to force the API to return the exact failing INPUT KEY in the 400 response, or is diffing configs the only reliable method for this?