Telegram bot on Cloud Worker is unresponsive. Minimal revised code:
addEventListener('fetch', e => {
e.respondWith(new Response('Bot Running'));
});
Based on my experience troubleshooting similar issues, one potential area to examine is whether Telegram is actually sending the webhook requests as expected. For instance, verifying that the webhook URL is configured correctly can save much time. I encountered a similar problem where the Worker was live but the configuration returned unexpected status codes due to SSL or routing issues. Reviewing your server logs or adding diagnostic responses can help isolate missing request data or mismatches between expected HTTP methods. Confirm that your webhook setup on Telegram adheres to all required parameters.
Based on my own experience, a common issue for such cases is that missing request verifications or loose logging can obscure errors. I once encountered a similar problem where the Bot was correctly deployed, but due to a restrictive routing method within my worker, Telegram’s webhook requests were never processed as expected. I resolved it by carefully increasing my logging detail and ensuring the worker handles all necessary HTTP methods. It can also be beneficial to manually trigger requests to mimic Telegram’s behavior, which helped me pinpoint configuration mismatches in my SSL setup.
hey there, maybe your worker is set up for get only while telegram uses post. check your endpoint and ssl cert settings because even slight mismatches can block requests. logs might show what’s missing. hope this helps!
In my experience deploying Telegram bots on Cloud Worker, an effective approach was to carefully inspect how the webhook handles incoming data, particularly with POST requests. I once encountered an issue where the bot didn’t respond because the deployed Worker was configured for a narrow set of HTTP methods. Reviewing documentation on Telegram’s webhook payload and performing tests with tools like curl helped me confirm the expected headers and method types. Adding detailed logging to capture the full request body allowed me to identify discrepancies between the webhook and the deploy environment, which ultimately led to the fix.