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AI & LLM integration patterns

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

3 matches

How to Create a Simple Data Helper in Python for LLM Projects

Create a beginner-friendly Python class that stores, filters, and serializes data records for AI/LLM workflows.

import json
from typing import Any, Dict, List, Optional


class DataHelper:
    """Simple helper for beginners to manage data in AI/LLM projects."""

    def __init__(self, data: Optional[List[Dict[str, Any]]] = None) -> None:
        self.data: List[Dict[str, Any]] = data or []

    def add_item(self, item: Dict[str…

14 0 Open

AI & LLM integration patterns easy

How to Serialize Chat Messages to a JSON File in Python

Writes a list of chat message dicts to a JSON file with metadata like export time and message count.

json serialization chat

Python

import json
from pathlib import Path
from datetime import datetime

def serialize_messages(messages, output_path):
    data = {
        "exported_at": datetime.now().isoformat(),
        "count": len(messages),
        "messages": messages
    }
    Path(output_path).write_text(
        json.dumps(data, indent=2, ensu…

16 0 Open

AI & LLM integration patterns easy

Serialize and Format Data for LLM Prompts in Python

Use dataclasses and the json module to convert Python objects to JSON strings, parse them back, and format structured data into prompt-friendly text for LLM calls.

dataclasses json llm

Python

import json
from dataclasses import dataclass, asdict


@dataclass
class Recipe:
    """Simple data model to represent a recipe."""
    name: str
    cuisine: str
    prep_minutes: int


def to_json(recipe: Recipe) -> str:
    """Serialize a Recipe to a JSON string."""
    return json.dumps(asdict(recipe), indent=2)

…

14 0 Open

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