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AI & LLM integration patterns

Call LLM APIs, structure prompts, parse responses, and ship AI features safely.

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AI & LLM integration patterns easy

Cache LLM Completions by Hashing the Prompt in Python

A simple in-memory cache that stores LLM completions keyed by a SHA-256 hash of the prompt to avoid recomputing identical requests.

llm caching hashing
Python 
import hashlib
import json

class PromptCache:
    def __init__(self):
        self.cache = {}

    def _hash_prompt(self, prompt: str) -> str:
        return hashlib.sha256(prompt.encode("utf-8")).hexdigest()

    def get(self, prompt: str) -> str | None:
        key = self._hash_prompt(prompt)
        return self.ca…
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