| #!/usr/bin/env python3 | |
| """ | |
| DeepSeek-OCR-2 markdown extraction for olmocr-bench. | |
| Generates markdown files from images. For scoring, see: https://github.com/allenai/olmocr | |
| config: | |
| Prompt: "<image>\n<|grounding|>Convert the document to markdown." | |
| Repeats: 3 |
Date: 2026-01-25 Analysis: Side-by-side comparison of Claude Flow V3 swarm architecture (developed by rUv) and Claude Code's TeammateTool (discovered in v2.1.19)
A detailed analysis reveals striking architectural similarities between Claude Flow V3's swarm system and Claude Code's TeammateTool. The terminology differs, but the core concepts, data structures, and workflows are nearly identical.
This is not a proposal. This documents existing but hidden functionality found in Claude Code v2.1.19 binary, plus speculation on how it could be used.
TeammateTool already exists in Claude Code. We extracted this from the compiled binary at ~/.local/share/claude/versions/2.1.19 using strings analysis. The feature is fully implemented but gated behind feature flags (I9() && qFB()).
| ╭─── Claude Code v2.1.12 ──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮ | |
| │ │ Tips for getting started │ | |
| │ Welcome back Jonny! │ Run /init to create a CLAUDE.md file with instructions for Claude │ | |
| │ │ │ | |
| │ │ ───────────────────────────────────────────────────────────────── │ | |
| │ ▐▛███▜▌ │ Recent activity |
| # Create a new worktree and branch from within current git directory. | |
| ga() { | |
| if [[ -z "$1" ]]; then | |
| echo "Usage: ga [branch name]" | |
| exit 1 | |
| fi | |
| local branch="$1" | |
| local base="$(basename "$PWD")" | |
| local path="../${base}--${branch}" |
(Blog version available at https://inferal.com/blog/workspace-architecture/)
Update: Inferal Workspace is going open source!
Your org's brain that AI can use
This is not our core product. This document describes our internal operating environment - how we run the company. We share it to show the environment you'd join and demonstrate our philosophy in action. For what we're building, see What We're Building below.
Hello world, in this topic actually I'm making a logging visualization in grafana for GeoIP purposes. As we know, GeoIP cannot use Prometheus, we have to use metrics in the form of raw logs, which is called logging. Because I don't have a lot of resources for running the ELK Stack, in the end I just ran logging with Promtail + Loki. Follow this technical for installation and integration of Promtail & Loki.
I will continue from this article to visualize it with Promtail + Loki.
log_format json_analytics escape=json '{'
'"msec": "$msec", ' # request unixtime in seconds with a milliseconds resolution
'"connection": "$connection", ' # connection serial number
| import os, sys, subprocess | |
| try: | |
| from wand.image import Image | |
| except ImportError: | |
| os.system('python -m pip install wand') | |
| from wand.image import Image | |
| def main(args): | |
| if len(args) < 1: | |
| print('Usage: upscaler.py <input_image> [output_image]') |
