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/**
 * BuiltWith detailed-profile scraper — uses the `spider-browser` SDK.
 *
 * For now this just fetches the target page and writes the raw HTML
 * to ./output/. No DOM extraction yet — we'll layer that on once we
 * confirm the page loads cleanly through Spider.
 *
 * Usage (from repo root):
 *   npx tsx builtwith_test.ts
 */

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#!/usr/bin/env python3
"""
claude_sessions.py (v0.1) — Unified CLI for browsing, searching, and exporting Claude Code sessions.

Combines session listing, full export, and compact (LLM-reviewable) export into one tool.
Designed for both human and AI agent use.

COMMANDS
--------
  list              List recent sessions with titles, timestamps, and IDs.

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Claude Agent SDK Technical Specification

Version: 1.0.0 Protocol Version: 2024-11-05 Last Updated: 2026-01-10

Table of Contents

1. Overview
2. Architecture

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/**
 * Spider Browser — XY Planning Network advisor scraper (TypeScript).
 *
 * Scrapes advisor cards from the "Find an Advisor" directory,
 * paginating through the first MAX_PAGES pages. Exports JSON + CSV.
 *
 * Usage:
 *    1. Copy .env.example to .env and add your SPIDER_API_KEY
 *    2. Run:  node xy_planning_network_advistor.ts
 */

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import { Spider } from "@spider-cloud/spider-client";
import { JSDOM } from 'jsdom';

const SPIDER_API_KEY = process.env.SPIDER_API_KEY;
if (!SPIDER_API_KEY) {
  console.error('Error: SPIDER_API_KEY environment variable is not set');
  console.error('Please run: export SPIDER_API_KEY=your-api-key');
  process.exit(1);
}

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import os
import requests
import argparse
import time
import logging
import logging.handlers
from pathlib import Path
from datetime import datetime
from typing import Dict
import jsonlines

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from dotenv import load_dotenv
from crewai import Task, Process
from crewai import Agent, Crew
from crewai_tools import SerperDevTool, tool
from langchain_community.document_loaders import SpiderLoader
from langchain_core.prompts import PromptTemplate
from langchain_openai import ChatOpenAI
from langchain.chains.combine_documents.stuff import StuffDocumentsChain, LLMChain
from typing import List

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macOS Internals

Understand your Mac and iPhone more deeply by tracing the evolution of Mac OS X from prelease to Swift. John Siracusa delivers the details.

Starting Points

How to use this gist

You've got two main options:

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import openai
import asyncio
from typing import Any

async def dispatch_openai_requests(
    messages_list: list[list[dict[str,Any]]],
    model: str,
    temperature: float,
    max_tokens: int,
    top_p: float,

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import { getAuth, withClerkMiddleware } from "@clerk/nextjs/server";
import { NextResponse, NextFetchEvent } from "next/server";
import type { NextRequest } from "next/server";
import { Ratelimit } from "@upstash/ratelimit";
import { Redis } from "@upstash/redis";

// Add public paths for Clerk to handle.
const publicPaths = ["/", "/sign-in*", "/sign-up*", "/api/blocked"];

// set your rate limit.