Reference library

AI & LLM integration patterns

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

4 matches

How to Parse Chat Completion JSON in Python

Parse a mock OpenAI chat completion JSON response into a clean dictionary with content, finish reason, and model.

import json

def parse_chat_response(raw: str) -> dict:
    data = json.loads(raw)
    choice = data["choices"][0]
    return {
        "content": choice["message"]["content"],
        "finish_reason": choice["finish_reason"],
        "model": data["model"],
    }

if __name__ == "__main__":
    mock_response = '''
  …

14 0 Open

AI & LLM integration patterns easy

How to Parse JSON from LLM Model Output Fence in Python

Extract and parse a JSON object from a language model's output that may be wrapped in triple-backtick fences with an optional language tag.

json llm parsing

Python

import json
import re

def parse_json_from_fence(text):
    """
    Extract JSON object from a model output that may be wrapped in
    triple-backtick fences with optional language tag.
    """
    # Match content inside

12 0 Open

AI & LLM integration patterns easy

How to Parse an LLM Response in Python

This code parses a JSON string from an LLM response, stripping code fences and handling common issues like whitespace, returning a Python dictionary.

llm json parsing

Python

import json
from typing import Any, Dict, List


def parse_llm_response(response: str) -> Dict[str, Any]:
    """Parse a JSON string from an LLM response, handling common edge cases."""
    # Remove code fences if present
    cleaned = response.strip()
    if cleaned.startswith("

13 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

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