Question 1

How to deploy this ChatGPT Telegram bot on AWS Lambda?

Accepted Answer

Follow the README steps: install dependencies with pip, use Chalice to deploy, then set up a function URL and configure the Telegram webhook manually via curl command.

Question 2

ChatGPT Telegram bot serverless vs self-hosted: which is better for performance?

Accepted Answer

Serverless on AWS Lambda offers automatic scaling but can have cold start delays, while self-hosted provides more control over latency but requires server management and fixed costs.

Question 3

How to handle voice messages with ChatGPT in this bot?

Accepted Answer

You need to create an S3 bucket in AWS, specify it in the config, and the bot will automatically upload voice messages to S3 for processing by ChatGPT via the API.

Question 4

What are the costs of running this serverless ChatGPT bot on AWS?

Accepted Answer

Costs depend on usage; AWS Lambda charges per request and compute time, while S3 has storage fees. For light to moderate usage, it can be very cheap, often under $5 per month.

Question 5

Can I customize this bot to use other AI models like GPT-4 or Claude?

Accepted Answer

No, the bot is hardcoded for OpenAI's ChatGPT API; switching to other models would require modifying the code to integrate different APIs and handle response formats.

Question 6

How to secure the webhook endpoint in AWS Lambda for this bot?

Accepted Answer

The README sets auth to NONE, but for better security, you should implement token validation or use AWS IAM to restrict access, though this isn't covered in the setup instructions.

chatgpt-telegram-bot-serverless

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