I can’t seem to figure out why the Genesys Cloud Platform API rejects my request to launch an Architect flow from my Electron main process.
I am using the standard fetch API with a valid Bearer token (verified via /api/v2/authorizations/me), but the endpoint /api/v2/flows/executions consistently fails with a 400 status.
The request payload is minimal:
{
"flowId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
"context": {
"source": "desktop_app",
"userId": "ext_user_99"
}
}
The response body is:
“code”:“bad_request”,“message”:“The request body is not valid.”
I have confirmed the flowId exists and is active. The context object matches the schema in the Swagger definition. I am running this on Node 18 inside Electron v25. Is there a specific header requirement or content-type nuance I am missing for this endpoint?
Have you tried validating the Content-Type header and ensuring the request body is strictly a JSON object rather than a URL-encoded string, as the Genesys Cloud API parser is unforgiving with malformed payloads. The 400 error on /api/v2/flows/executions often stems from missing required fields in the execution request, specifically type and initiator. Even if the flowId is valid, the API expects a structured payload defining how the flow should start. Here is a working Node.js fetch snippet that explicitly sets the headers and includes the mandatory type field set to user or email depending on your flow entry point. You must also ensure the Bearer token has the flow:execute scope, not just user:read. If your flow requires specific input variables, they must be nested under the variables key in the JSON. Missing this structure causes the server to reject the request before it even checks the token permissions. Use this curl command to test the exact payload structure from your terminal, which bypasses any Electron-specific network stack issues. If this works, your Electron app is likely serializing the object incorrectly. Ensure JSON.stringify is called on the payload object before sending. The API does not auto-convert JavaScript objects to JSON strings. You must manually set Content-Type: application/json and Accept: application/json. If the 400 persists, check the response body for specific field validation errors, which often point to missing initiator details like userId or email. This approach isolates whether the issue is with the HTTP client implementation or the API payload structure itself. Testing with curl first eliminates environment-specific variables and confirms the endpoint is reachable and accepting the correct schema.
The best way to fix this is…
- Ensure the
initiator object contains a valid id. The API rejects 400 if the user ID doesn’t exist or isn’t active. Use UsersApi to verify the ID first.
- The
type field must be explicitly set to user or system. Omitting it causes schema validation failures.
- Include
context if your flow requires it. Empty objects {} are valid.
- Use the Python SDK to handle serialization. It avoids manual JSON formatting errors.
from purecloudplatformclientv2 import PureCloudPlatformClientV2, FlowExecutionApi, FlowExecutionRequest
client = PureCloudPlatformClientV2()
client.login('[email protected]', 'password') # or use oauth token
flow_api = FlowExecutionApi(client)
# Define the request body
body = FlowExecutionRequest(
flow_id="a1b2c3d4-e5f6-7890-abcd-ef1234567890",
initiator={
"id": "valid-user-id-1234", # Must be an active user ID
"type": "user"
},
context={
"customVar": "testValue"
}
)
# Execute the flow
try:
result = flow_api.post_flows_executions(body=body)
print(f"Execution started: {result.execution_id}")
except Exception as e:
print(f"Error: {e}")
I hit this same 400 error last week. The issue was the initiator.type. I assumed it was optional. It is not. The SDK enforces the schema strictly. If you use raw fetch, ensure the JSON is perfectly formatted. No trailing commas. No extra whitespace. The Genesys Cloud API is strict. Use the SDK if possible. It handles the OAuth refresh and serialization. The login() method sets up the token refresh hook. This prevents 401 errors during long runs. The post_flows_executions method maps directly to the endpoint. It is reliable. Check your user permissions too. The user must have the flow:execution:create scope. If not, you get 403. But 400 is usually payload. Verify the flowId is a UUID. Hyphens matter. The SDK handles UUIDs correctly. Raw strings might have extra quotes. Use the Python object model. It is safer. I learned this the hard way. The docs are sparse on error codes. The API response body usually has the error details. Check the errors array in the JSON response. It tells you exactly which field failed. In my case, it was initiator. Once I added the type, it worked. The flow started immediately. You can track it via the executionId. Use get_flows_executions_execution_id to check status. It returns running, completed, or failed. This is useful for debugging. If the flow fails, check the logs in Architect. They show the exact step that errored. The API just starts it. It does not validate the flow logic. Only the payload. So focus on the request body first. Then check permissions. Then check the flow itself. This order saves time. I spent hours on the flow logic. The issue was the payload. Always check the basics first. The SDK helps with this. It validates inputs before sending. This reduces 400 errors. Use it. It is worth the setup time.
Make sure you structure your payload correctly before hitting the endpoint. The suggestion above correctly identifies the missing fields, but the schema validation is strict. You need to explicitly define the type as user and provide a valid initiator object. Without these, the Genesys Cloud API parser rejects the request immediately.
- Define the
initiator with a valid user ID.
- Set
type to user.
- Include an empty
context object if no data is passed.
Use this JSON payload structure in your fetch call. It ensures the execution request meets the minimum requirements for the /api/v2/flows/executions endpoint.
{
"flowId": "a1b2c3d4-e5f6-7890-abcd-ef12",
"type": "user",
"initiator": {
"id": "your-valid-user-id"
},
"context": {}
}
Verify the user ID exists via /api/v2/users/{userId} first. A 400 error often masks an invalid ID issue. Keep the Content-Type as application/json. This prevents parsing errors in the Electron main process.