The Genesys Cloud EU-West instance keeps rejecting the JSON transform step right before the bot handoff. Architect 2024.10 flow hits the data action, and the inputSchema validation throws a 422 Unprocessable Entity. We’re trying to flatten a deeply nested conversational AI response into a flat key-value map for the downstream CRM webhook. The JSONPath expression looks solid locally, but the runtime engine chokes on the array indexing. Console output is completely empty until the retry timeout fires.
Logs just show JSONPath evaluation failed: unexpected token at position 24. Retrying with static payloads works fine, so the schema isn’t the issue. Header passthrough is disabled, timeout set to 3000ms. Doing jack all to get this to parse dynamically without spinning up a lambda.
Cause: The validator rejects bracket notation inside the JSONPATH_RULES array when strict mode is active. It expects a flattened string path, not a filter expression. You’re hitting the 422 because the schema type doesn’t match the resolved array output.
Solution: Strip the filter syntax and move the confidence check to a pre-step transformation. Set the INPUT_SCHEMA to accept raw strings. Then map the array index explicitly. This keeps the WEM pipeline clean too, since we always prefer predictable payloads for adherence tracking.
Just pass the mapped object directly. The Data Action engine handles flat maps way better. Make sure your PARTITION_KEY stays static during the test run. I usually lock it to a dummy session ID until the webhook confirms. Run a quick dry-run against /api/v2/flows/actions with the dataActions:write scope. The EU-West validator is pretty strict on nested arrays anyway. You’ll see the 422 drop once you remove the query brackets.
When pushing this config via /api/v2/architect/dataactions or the PureCloudPlatformClientV2 SDK, you’ll need the architect:dataaction:write scope. You’re hitting a known limitation with how the runtime parses nested paths when strictMode is toggled on. The validator chokes hard on bracket notation inside JSONPATH_RULES, which is why the inputSchema throws a 422. You’ll need to map the raw object directly and handle the expansion downstream. Runtime validation is strict. Catches a lot of folks who assume full JSONPath spec support. Here’s the working payload.
genesyscloud-embeddable-sdk handles the payload injection differently when strict validation is active. First, the runtime engine parses the JSONPATH_RULES array before the data action actually executes. If strictMode is enabled, it blocks bracket notation like [*]. You’ll see that 422 error pop up immediately because the schema validator expects a flattened string path. The fix requires toggling strictMode to false inside the inputSchema object. This tells the parser to ignore the structural mismatch between the nested JSON and the flat output map.
Once that flag flips, the parser allows the array indexing to pass through to the downstream webhook. It’s a messy workaround, but it stops the validator from choking on the complex path. The data action then flattens the nested entities correctly without throwing the unprocessable entity error. You don’t need to rewrite the JSONPath expression to dot notation if you can just relax the schema constraint.
The SDK logs show the rejection happens at the schema validation layer, not the execution layer. This distinction matters because you can still use the complex path logic as long as the schema doesn’t enforce strict typing on the input structure. The inputSchema definition essentially acts as a gatekeeper here. When you disable strict mode, the gate opens for dynamic structures. This approach keeps the existing JSONPath rules untouched. You’ll avoid refactoring the entire data action mapping logic. Just update the schema property and redeploy the flow. The 422 response vanishes after the next deployment cycle. No more truncation.
@genesys/platform-client handles the schema validation before the data action even touches the execution queue. The problem isn’t the JSONPath syntax itself. It’s how the EU-West runtime parses bracket notation when strict validation is forced on. You’ll see that 422 pop up because the validator expects a literal dot-notation path, not an array expansion operator.
Here is how the request actually flows through the SDK. First, the payload hits the /api/v2/architect/dataactions endpoint. The runtime engine runs a pre-check against the inputSchema definition. If strictMode stays true, the parser rejects anything that looks like a filter expression. Switching it off helps, but it leaves the payload exposed to type mismatches downstream. A safer route is to flatten the array inside the Node.js middleware before it reaches the data action.
const { PlatformClient } = require('@genesys/platform-client');
const client = new PlatformClient();
// Pre-flatten the entities array before sending to the webhook
const flattenEntities = (payload) => {
const flat = {};
if (Array.isArray(payload.entities)) {
payload.entities.forEach((entity, index) => {
flat[`entity_${index}_value`] = entity.value;
flat[`entity_${index}_type`] = entity.type;
});
}
return { ...flat, intent_confidence: payload.confidence };
};
// Pass the sanitized object to the data action input
await client.dataActions.execute({
id: 'your-data-action-id',
input: flattenEntities(rawPayload)
});
The runtime stops choking because the JSONPATH_RULES array never sees a bracket. You just feed it a flat object that matches the inputSchema properties exactly. Webhook endpoints downstream don’t care how you got there, they just want the keys to line up. Keep an eye on the MAX_INPUT_SIZE limit though, flattening deep trees can blow past the 2MB payload cap real fast. You’ll need to trim the confidence scores or drop low-relevance entities before the transform step. The schema validator throws a silent truncation warning if you miss it.