How exactly does the Data Action timeout retry logic handle partial batch failures? Pushed the CRM sync connector to the client staging org using genesys-cloud-sdk-js@3.59.2. Architect flow’s sitting at the Data Action step waiting on the external payload. Console’s showing the 429 Too Many Requests after exactly 3 attempts. The retry queue’s doing jack all. Rate limit headers say retry-after 120 but the built-in retry queue just drops the batch. OAuth token’s valid for another 6 hours, multi-org scope covers read_write:customer-interaction-data. The Data Action config uses the default exponential backoff but it’s not triggering. Logs show the request timing out at 30 seconds instead of the configured 60. Environment is US-East, AppFoundry package version 1.4.0. We’ve tried adjusting the timeout slider in the Data Action settings but it resets to 30 on publish. Multi-org OAuth scope’s correct, token refresh works fine. The external API’s returning 202 Accepted with an async processing delay. Queue depth hits 500 contacts before the flow stalls. The error payload keeps showing 30000ms even though the config clearly says 60000.
{
"error": {
"code": "data_action_timeout",
"message": "External endpoint did not respond within 30000ms",
"requestId": "req-9f8a7b6c-5d4e-4f3a-9b2c-1d0e8f7a6b5c",
"retryCount": 3,
"nextRetry": null,
"rateLimitRemaining": 0
}
}
You’re fighting the SDK’s internal retry policy, which caps out at 3 attempts for 4xx/5xx errors regardless of Retry-After. The genesys-cloud-sdk-js client doesn’t parse the rate limit headers for exponential backoff on Data Actions. It just gives up.
You need to implement the retry loop outside the SDK call or switch to raw HTTP requests where you control the jitter. The Data Action endpoint itself doesn’t retry; it’s the client making the call that needs to handle the 429.
Here’s how you handle it in Node.js with axios instead of relying on the SDK’s flawed retry logic:
const axios = require('axios');
async function callDataActionWithRetry(url, payload, maxRetries = 5) {
let attempt = 0;
while (attempt < maxRetries) {
try {
const response = await axios.post(url, payload, {
headers: {
'Authorization': `Bearer ${accessToken}`,
'Content-Type': 'application/json'
}
});
return response.data;
} catch (error) {
if (error.response && error.response.status === 429) {
const retryAfter = parseInt(error.response.headers['retry-after'], 10) || Math.pow(2, attempt) * 1000;
console.log(`Rate limited. Retrying in ${retryAfter}ms...`);
await new Promise(resolve => setTimeout(resolve, retryAfter));
attempt++;
} else {
throw error; // Re-throw non-rate-limit errors
}
}
}
throw new Error('Max retries exceeded for Data Action');
}
The SDK is convenient for CRUD but terrible for high-throughput async flows like CRM syncs. Don’t use it for the actual transaction. Use it to fetch the token, then use a lightweight HTTP client for the payload push.
Warning: If you’re doing this from within Architect using a Data Action, you can’t add custom JS retry logic there. You’d need to host an intermediate microservice that handles the retries and calls the Genesys API, then have Architect call that microservice. Architect’s Data Action step has a hard timeout of 30 seconds. If your external CRM takes longer, Architect fails the step regardless of your retry logic.
Check your division permissions too. Sometimes 429s mask permission issues if the token is scoped to a division that doesn’t have access to the target user records. Verify the divisionId in the payload matches the token’s scope.