Using a Telegram Bot to broadcast messages in segments of 100 results in HTTP 400 errors for some recipients. Is this an optimal method for mass messaging?
From my experience, batching messages in segments of 100 can lead to issues such as HTTP 400 errors, especially when the API encounters unexpected input or rate limits. In my projects, I resolved similar issues by implementing more granular error handling and spacing out messages to accommodate API constraints. While batching is efficient in theory, it demands careful management of request intervals and error responses. A more robust solution may involve asynchronous messaging with retries to ensure that all messages are successfully delivered.
i’ve seen similar issues - fixed batches sometimes fail cause slight timing issues. in my experiance, switching to a async approach or adding small random delays between msgs helped rescue some of these problems.
In my experience working with broadcast messaging through Telegram bots, the root of many HTTP 400 errors has been inconsistent handling of responses rather than the batch size itself. I found that mixing in real-time feedback and dynamic pacing can significantly improve reliability. For instance, I implemented conditional logic to dynamically throttle requests based on API feedback and verified the message formats before sending. This proactive checking helped to catch potential issues before they reached the server. Additionally, I experimented with different batch sizes and timing intervals. This method provided more granular control and overall improved resilience against errors.
In my experience, the issue does not solely lie in the batch size but in how we manage the sending process. A fixed batch method often overlooks the dynamic nature of API rate limits and network latency. I encountered similar challenges and found that introducing adaptive delay intervals and performing preliminary data validation on messages significantly improved reliability. This approach allows for a more responsive handling of errors on the fly, reducing the incidence of HTTP 400 errors and ensuring a smoother broadcast process overall.