Reference library

AI & LLM integration patterns

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

6 matches

How to Build a Data Helper for LLM Prompts in Python

A beginner-friendly helper class that flattens nested dictionaries, formats prompt templates, and safely parses JSON for AI/LLM pipelines.

llm prompt-engineering data-prep

Python

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


class DataHelper:
    """Simple helper class for working with data in AI/LLM pipelines."""
    
    def __init__(self, data: Optional[Dict[str, Any]] = None) -> None:
        self.data = data or {}
    
    def flatten(self, prefix: str = "") -> Dict[str, Any]…

17 0 Open

AI & LLM integration patterns easy

How to Convert Data to JSON and Back in Python

Convert a Python dict into a JSON string with indentation, then parse it back into a dict, demonstrating a common round-trip conversion for beginners.

json serialization conversion

Python

import json
from datetime import datetime

def convert_data(data):
    """Convert a dict into a JSON string and back to dict."""
    json_str = json.dumps(data, indent=2)
    parsed = json.loads(json_str)
    return json_str, parsed

def main():
    sample_data = {
        "user": "alice",
        "message": "hello",
…

11 0 Open

AI & LLM integration patterns easy

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.

data-helper json llm

Python

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 Validate LLM Output in Python

A beginner-friendly DataValidator class that checks required fields and type constraints on LLM-generated or user JSON data.

validation llm json

Python

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


class DataValidator:
    """Simple helper for validating LLM-generated or user data."""

    def __init__(self, required_fields: List[str], schema: Optional[Dict[str, str]] = None):
        self.required_fields = required_fields
        self.schema = schema or…

14 0 Open

AI & LLM integration patterns easy

How to parse JSON in Python: A Beginner's Guide with Code Examples

This guide shows you how to parse JSON data in Python step by step, with practical code examples and expected outputs.

json parsing dictionary

Python

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


class DataHelper:
    """Beginner-friendly helper for common AI/LLM data tasks."""
    
    def __init__(self, data: Optional[Dict[str, Any]] = None):
        self.data = data or {}
    
    def to_prompt(self, template: str) -> str:
        """Format a prompt…

14 0 Open

AI & LLM integration patterns easy

Prepare LLM prompt data with a Python helper class

A beginner-friendly Python class that collects records, converts them to JSON, and produces a quick summary for building LLM prompt context.

llm json prompt-engineering

Python

import json
from typing import Any, Dict, List

class DataHelper:
    """Simple helper to prepare data for LLM prompts."""
    
    def __init__(self):
        self.data = []
    
    def add(self, item: Dict[str, Any]) -> "DataHelper":
        self.data.append(item)
        return self
    
    def to_json(self) -> s…

16 0 Open

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