Reference library

AI & LLM integration patterns

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

5 matches

How to Build a Zero-Shot Classification Prompt in Python

Creates a prompt for zero-shot text classification by pairing input text with candidate labels and a hypothesis template.

zero-shot prompt classification

Python

from typing import Dict, List


def build_zero_shot_prompt(
    text: str,
    candidate_labels: List[str],
    hypothesis_template: str = "This is about {}.",
) -> Dict[str, List[str]]:
    """Build a prompt ready for zero-shot classification."""
    return {
        "sequences": text,
        "candidate_labels": can…

13 0 Open

AI & LLM integration patterns easy

How to Validate JSON Output Against a Dict Schema in Python

Validate JSON-like data against a simple dict schema with type checking and descriptive error messages using only the Python standard library.

json validation schema

Python

from typing import Dict, Any, List, Union

def validate_json(data: Any, schema: Dict[str, str]) -> List[str]:
    """
    Validate JSON-like data against a simple dict schema.
    Schema format: {field_name: expected_type} where type is one of:
    'str', 'int', 'float', 'bool', 'list', 'dict', 'any'
    Returns list …

13 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 compute ROUGE recall in Python

Compute ROUGE recall by counting token overlap between a reference and candidate summary with pure Python.

rouge nlp evaluation

Python

def rouge_recall(reference, candidate):
    ref_tokens = reference.lower().split()
    cand_tokens = candidate.lower().split()

    ref_counts = {}
    for token in ref_tokens:
        ref_counts[token] = ref_counts.get(token, 0) + 1

    cand_counts = {}
    for token in cand_tokens:
        cand_counts[token] = cand…

12 0 Open

AI & LLM integration patterns medium

Track GitHub Repository Growth in Python

A Python dashboard that fetches and displays GitHub repository statistics including stars, forks, creation date, and recent star activity using the GitHub API.

github api requests

Python

import requests
import json
from datetime import datetime, timedelta

def track_repo_growth(owner, repo):
    url = f"https://api.github.com/repos/{owner}/{repo}"
    headers = {"Accept": "application/vnd.github.v3+json"}
    response = requests.get(url, headers=headers)
    data = response.json()
    
    name = data…

44 0 Open

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