Building the Middleware
Why do you need a wrapper?
You rarely expose vLLM directly to the public. You want a layer in between to:- Log requests: Save what users are asking.
- Rate Limit: Stop one user from spamming 1000 requests.
- Format Prompts: Inject hidden system instructions before the user's message reaches the AI.
How to code it (The Cheatsheet)
You don't need to be a master coder. Use Claude or ChatGPT to write the boilerplate for you.
Prompt: \"Write a simple Python FastAPI app that has one endpoint `/chat`. It should accept a JSON body, check for a Bearer token in the header, and then forward the request to a local vLLM instance running at port 8000.\"
This will give you a `main.py` file. You run it, and suddenly you have a professional API that controls how your AI is used.
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Questions & Answers
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