raoulbia-ai

"""
OpenAI Agent SDK & MCP Example: Rental Listings Orchestration

This script demonstrates orchestrating multiple AI agents using the OpenAI Agent SDK (`agents` library)
and its Model Context Protocol (MCP) extension (`openai-agents-mcp`)
to automate the process of finding rental listings and notifying users.

Key Concepts Illustrated:
- Agent Definition: Defining specialized agents (`ListingURLsAgent`, `IndividualListingAgent`, `EmailMetadataAgent`, `OrchestratorAgent`)
  using both the core `agents.Agent` and MCP-enabled `agents_mcp.Agent` classes.

raoulbia-ai

Complete Claude-Flow Setup Guide for GitHub Codespaces

A comprehensive guide to setting up and using Claude-Flow with swarms in GitHub Codespaces, based on real community discussions and proven workflows.

Table of Contents

1. Overview
2. Prerequisites & Setup
3. Step-by-Step Installation
4. Authentication Workflow
5. Getting Started with Swarms

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Installing & Running MCP Obsidian and WhatsApp MCP on Windows

Prerequisites

• Admin rights on your system
• Windows 10/11 (PowerShell or CMD for all terminal steps)
• Node.js v23.10.0 or later (installed via nvm-windows is recommended)
• Git
• Claude Desktop or another MCP-compatible agent

Change any part of the paths to match your folders.

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{
  "name": "Claude Flow Development",
  "image": "mcr.microsoft.com/devcontainers/base:debian",
  "features": {
    "ghcr.io/devcontainers/features/node:1": {},
    "ghcr.io/devcontainers/features/python:1": {},
    "ghcr.io/devcontainers/features/docker-in-docker:2.12.2": {
      "version": "latest",
      "moby": true
    }

raoulbia-ai

LLM Fine-Tuning: Training & Conversion Guide

A technical guide explaining the fine-tuning process for domain-specific LLMs, with rationale for each step.

1. Overview

Goal: Fine-tune Qwen2.5-Coder-14B for TagUI (browser automation DSL)

Why Fine-Tuning?: Base models don't know domain-specific syntax. Qwen-Coder is excellent at Python/JS but generates invalid TagUI code. Fine-tuning teaches the specific DSL patterns.

raoulbia-ai

Claude Skills: How SKILL.md Works

Research findings on Anthropic's Skills system for Claude Code.

Overview

Skills are a filesystem-based mechanism for extending Claude's capabilities with domain-specific expertise. Each skill is a directory containing a SKILL.md file with optional supporting resources.

Directory Structure

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"""Requirements: pip install a2a-sdk"""

from __future__ import annotations

import uuid
from typing import TYPE_CHECKING

from langflow.components.langchain_utilities.tool_calling import ToolCallingAgentComponent
from langflow.io import BoolInput, FloatInput, IntInput, Output, StrInput
from langflow.schema.message import Message

raoulbia-ai

"""Requirements: pip install a2a-sdk httpx"""
from __future__ import annotations

import uuid
from typing import TYPE_CHECKING, Any

from langflow.custom import Component
from langflow.io import (
    IntInput,
    MessageInput,

raoulbia-ai

A2A Deep Research System - Replication Guide

This guide explains how to replicate the A2A Deep Research system on another machine using Ollama for local LLM inference.

---

Overview

The A2A Deep Research system is a multi-agent research framework that:

• Breaks down research questions into tasks (Planning Agent)

raoulbia-ai

"""
Langflow A2A Service Patch
==========================

This patch adds A2A (Agent-to-Agent) protocol support to vanilla Langflow.
Required for using the A2A Server Agent component.

It provides two things:
1. SERVICE LAYER  - A2A service, factory, schema, and dependency injection
2. API ROUTER     - FastAPI endpoints for agent card discovery and JSON-RPC