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#!/usr/bin/env bash

set -euo pipefail

usage() {
  printf 'Usage: %s "commit message" "file" ["file" ...]\n' "$(basename "$0")" >&2
  exit 2
}

if [ "$#" -lt 2 ]; then

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• Delete unused or obsolete files when your changes make them irrelevant (refactors, feature removals, etc.), and revert files only when the change is yours or explicitly requested. If a git operation leaves you unsure about other agents' in-flight work, stop and coordinate instead of deleting.
• Before attempting to delete a file to resolve a local type/lint failure, stop and ask the user. Other agents are often editing adjacent files; deleting their work to silence an error is never acceptable without explicit approval.
• NEVER edit .env or any environment variable files—only the user may change them.
• Coordinate with other agents before removing their in-progress edits—don't revert or delete work you didn't author unless everyone agrees.
• Moving/renaming and restoring files is allowed.
• ABSOLUTELY NEVER run destructive git operations (e.g., git reset --hard, rm, git checkout/git restore to an older commit) unless the user gives an explicit, written instruction in this conversation. Treat t

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build swagent swift cli and test it yourself until it works. use this development key for testing with openai API:

---

1) Docs — the exact contract (Responses API, tools, streaming, chaining)

Endpoints

• Create/continue a response: POST https://api.openai.com/v1/responses

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Perfect—let’s make the whole guide Swift‑native and wire it to gpt-5-codex as the default model. This version shows the Responses API tool‑calling loop, built‑in tools (web search), custom tools, structured outputs (text.format), and streaming.

Why gpt-5-codex? It’s a GPT‑5 variant optimized for agentic coding and is Responses‑only—built to drive coding agents (think Codex/CLI/IDE workflows). ([OpenAI][1]) Structured outputs + function/tool calling + previous_response_id are the core building blocks in Responses. ([OpenAI Platform][2]) Prompting tips for this model differ slightly from plain GPT‑5; the cookbook notes it’s Responses‑only and has a few behavior differences. ([OpenAI Cookbook][3])

---

TL;DR setup

steipete

use objc::{msg_send, sel, sel_impl};
use rand::{distributions::Alphanumeric, Rng};
use tauri::{
    plugin::{Builder, TauriPlugin},
    Manager, Runtime, Window,
}; // 0.8

const WINDOW_CONTROL_PAD_X: f64 = 15.0;
const WINDOW_CONTROL_PAD_Y: f64 = 23.0;

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export const GET = apiHandlers.withAdminAuth(async (request) => {
  const url = new URL(request.url);
  const sampleCount = Math.min(Number(url.searchParams.get('samples')) || 20, 100);
  const includeQueries = url.searchParams.get('queries')?.split(',') || Object.keys(standardTestQueries);

  // Create instances for both drivers
  const postgresDb = createKyselyWithDriver('postgres');
  const neonDb = createKyselyWithDriver('neon');

  try {

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#!/usr/bin/env bun
"use strict";

const fs = require("fs");
const { execSync } = require("child_process");
const path = require("path");

// ANSI color constants
const c = {
  cy: '\033[36m',  // cyan

steipete

Claude Fans Threw a Funeral for Anthropic's Retired AI Model

By Kylie Robison
Business | August 5, 2025

Roughly 200 people gathered in San Francisco on Saturday to mourn the loss of Claude 3 Sonnet, an older AI model that Anthropic recently killed.

---

On July 21 at 9 am PT, Anthropic retired Claude 3 Sonnet, a lightweight model known for being quick and cost-effective. On Saturday, in a large warehouse in San Francisco's SOMA district, more than 200 people gathered to mourn its passing.

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{
  "$schema": "https://opencode.ai/config.json",
  "model": "cerebras/qwen-3-coder-480b",
  "provider": {
    "cerebras": {
      "api": "https://api.cerebras.ai/v1",
      "npm": "@ai-sdk/openai-compatible",
      "name": "Cerebras",
      "env": [],
      "options": {

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<summary><strong>🤖 Detailed Setup Guide for AI Agents</strong></summary>

## Complete Setup Instructions for Self-Hosting Qwen3-Coder-480B

This guide provides step-by-step instructions for AI agents to set up Qwen3-Coder-480B on Vast.ai with maximum context window.

### Prerequisites
- Vast.ai account with billing configured
- SSH client installed
- 2-3 hours for initial setup