80% faster ⚡️ 75% cheaper 💸 GPT Wrapper

@hot_town_

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Selling · SaaS › AI Tool

GPT Wrapper https://openvibe.sh ↗

Why it worked

The video effectively explains a technical concept (prompt caching) that directly addresses a common pain point for developers using AI APIs: cost and speed. By demonstrating a practical application and providing a clear, actionable solution with code examples, it offers significant value to the target audience.

Summary

The creator explains how they reduced costs for their GPT Wrapper by implementing prompt caching. They demonstrate how to use a hashed user email as a stable identifier to improve cache hit rates, making API calls more efficient and cheaper.

Structure

1Problem: Losing money on API calls
2Solution: Prompt caching
3Example: Cover Letter Generator
4Implementation: System prompt, user resume, job title
5Optimization: Hashing user email for stable identifier
6Product: Open Source Cover Letter GPT

Product placement

Original caption

I made my gpt wrapper 80% faster and cheaper by structuring my prompts for OpenAI api prompt caching. #saas #microsaas #openai #sidehustle #coding #entrepreneur #vibecoding #chatgpt

More from @hot_town_

Their other posts in the index, biggest breakout first.

The video promotes a 'GPT Wrapper' and a specific application called 'Cover Letter GPT' which is open source and available at coverlettergpt.xyz. The creator also mentions their own product, 'Open Vibe', linked in their bio.

Call to action

Check it out. I've built its open source. It's called Cover Letter GPT dot xyz.

On-screen text

80% faster ⚡️ 75% cheaper 💸 GPT Wrapper YOU HOW I FIXED IT AND TOO LET'S USE MY EXAMPLE LETTER GENERATOR AND I'M HITTING API OF COURSE WE'RE SENDING THIS UH SYSTEM PROMPT AND THE USER'S RESUME ON EVERY REQUEST AND THAT NEVER CHANGES CHANGING IS THE JOB TITLE IF THE BEGINNING OF YOUR PROMPT IS ALWAYS STAYING IT CACHES THAT INFORMATION SO IT DOESN'T HAVE TO RUN AND COMPUTE IN MY CASE THAT IS THE SYSTEM PROMPT THE INSTRUCTIONS AND THEN THE USER'S ALL THE STUFF LIKE THE JOB DESCRIPTION AT THE VERY PROMPT ON TOP THE DOCS SAY THAT ADDING A STABLE IDENTIFIER FOR YOUR END USERS PARAMETER HERE BOOSTS CACHE HIT RATES AND A PROVIDE A STABLE IDENTIFIER IS TO TAKE A HASH OF YOUR USER'S EMAIL FOR EXAMPLE AND SEND THAT EVERY MAKES A REQUEST OPENAI WILL ADD THAT HASH TO THE BEGINNING AND MAKE IT IT FOR YOU MY BIO HAS THESE CODE EXAMPLES ON HOW YOU CAN IMPLEMENT THIS STRATEGY FOR PROMPT OR YOU CAN CHECK IT OUT I'VE BUILT ITS OPEN SOURCE IT'S CALLED COVER GPT DOT X Y Z

Transcript

I was losing money on every API call to OpenAI until I learned about prompt caching. Let me show you how I fixed it and how you can too. Let's use my app as an example. It's a cover letter generator and I'm hitting the API of course we're sending this uh system prompt and the user's resume on every request and that never changes. Changing is the job title. If the beginning of your prompt is always staying the same, it caches that information so it doesn't have to run and compute. In my case, that is the system prompt, the instructions and then the user's resume, all the stuff like the job description at the very prompt on top. The docs say that adding a stable identifier for your end users, the user parameter here, boosts cache hit rates and a great way to provide a stable identifier is to take a hash of your user's email for example and send that every time that user makes a request. OpenAI will add that hash to the beginning and make it easier to cache it for you. My bio has these code examples on how you can implement this strategy for prompt caching or you can check it out. I've built its open source. It's called Cover Letter GPT dot xyz. Bye bye.