Reference library

Python Code Samples

Medium snippets you can copy, study, and run in the browser editor.

3 matches
Errors & debugging medium

How to attach a request ID to exception messages in Python

This code shows how to enrich exception messages with contextual request IDs using context variables, making error logs more traceable across concurrent requests.

contextvars exception-handling logging
Python
import logging
from contextvars import ContextVar

request_id_var = ContextVar("request_id", default="unknown")

def add_request_id(exc: Exception) -> Exception:
    exc.args = (f"request_id={request_id_var.get()} | {exc.args[0]}" if exc.args else f"request_id={request_id_var.get()}",) + exc.args[1:]
    return exc

d…
13 0 Open
AI & LLM integration patterns medium

Parse ReAct Logs into Thought Action Observation Steps in Python

Parse a ReAct agent's textual log into structured steps with thought, action, and observation using regex and named tuples.

react regex llm
Python
import re
from collections import namedtuple


ReActStep = namedtuple("ReActStep", ["thought", "action", "observation"])


def parse_react_log(log: str) -> list[ReActStep]:
    """Parse a ReAct log into structured thought/action/observation steps."""
    pattern = re.compile(
        r"Thought:\s*(?P<thought>.+?)\s*"
…
13 0 Open
A/B testing & experimentation medium

How to simulate a contextual bandit in Python

Simulate a contextual multi-armed bandit with random features and epsilon-greedy action selection in Python.

bandit-algorithms simulation epsilon-greedy
Python
import random


class ContextualBandit:
    def __init__(self, n_actions=3, n_features=4):
        self.n_actions = n_actions
        self.n_features = n_features
        self.theta = [random.random() for _ in range(n_actions * n_features)]

    def mock_context(self):
        return [random.uniform(-1, 1) for _ in ra…
13 0 Open

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