Stumbled on a weird bug today with our Premium App integration where the Bot Connector throws a 500 Internal Server Error when attempting to list bot actions via /api/v2/bots/{botId}/actions. The issue appears specific to bots with more than 500 actions, causing the response payload to exceed the default buffer limit in the genesys-cloud-node-sdk v2.0. Has anyone encountered similar payload size constraints with the Bot API?
The documentation actually says…
Running into a weird bug with our Premium App integration where the Bot Connector throws a 500 Internal Server Error when attempting to list bot actions via /api/v2/bots/{botId}/actions. The issue appears specific to bots with more than 500 actions, causing the response payload to exceed the default buffer limit in the genesys-cloud-node-sdk v2.0. Has anyone encountered similar payload size constraints with the Bot API?
This feels incredibly familiar to the “ticket metadata” issues we hit during Zendesk migrations. In Zendesk, pulling all ticket fields for a high-volume account would often crash the sidekiq jobs if we didn’t paginate carefully. Genesys Cloud handles this differently, but the underlying principle of data volume remains the same.
The 500 error here is likely a server-side timeout or buffer overflow because the SDK isn’t automatically handling pagination for large result sets. You need to implement manual pagination using the pageSize and pageNumber parameters.
Try restructuring your API call like this:
let actions = [];
let page = 1;
let hasMore = true;
while (hasMore) {
const response = await api.botsApi.getBotActions(botId, {
pageSize: 100, // Keep this low to avoid buffer limits
pageNumber: page
});
actions = actions.concat(response.entities);
if (response.entities.length < 100) {
hasMore = false;
} else {
page++;
}
}
In Zendesk, we relied on the API to handle chunking implicitly for simpler endpoints, but GC requires explicit pagination for bot actions exceeding standard thresholds. This approach mirrors how we migrated complex trigger sets from Zendesk to GC Architect flows-breaking them down into manageable chunks prevents system overload. Check the GC API docs for pageSize limits; sticking to 100-200 is usually safest for stability. This should resolve the buffer limit issue entirely.
If I remember correctly, this specific 500 error is not actually a buffer limit issue within the Node SDK, but rather a server-side timeout triggered by the complexity of the action graph retrieval. When a bot exceeds 500 actions, the default query execution time often breaches the gateway threshold, causing the internal service to crash before the SDK even attempts to parse the response.
For legal discovery and bulk export contexts, we usually see similar behavior when metadata queries are too broad. The system is designed to protect the database from heavy loads, but it fails gracefully with a 500 instead of a 429 or 408 in this specific endpoint.
The workaround is to avoid fetching all actions in a single call. Instead, use the pagination parameters effectively. The API supports page_size and page_token. By setting page_size to a smaller number, like 50 or 100, you force the server to process smaller chunks of data. This keeps the response payload well within safe limits and prevents the internal timeout.
Here is how the request should look:
const apiClient = new PlatformClient();
const botsApi = apiClient.botsApi;
// Instead of fetching all, paginate
await botsApi.getBotActions(botId, {
page_size: 50,
page_token: null // handle subsequent tokens in a loop
});
This approach aligns with the best practices for large datasets in the Recording API as well. Always check the official documentation for pagination limits here: https://developer.genesys.cloud/api/v2/bots/actions.
Also, ensure your bot architecture is optimized. If you have that many actions, consider refactoring into sub-flows or external intents to reduce the load on this specific endpoint. This reduces the risk of future timeouts and improves the overall stability of the bot connector integration.