| { | |
| "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 | |
| } |
Change any part of the paths to match your folders.
A comprehensive guide to setting up and using Claude-Flow with swarms in GitHub Codespaces, based on real community discussions and proven workflows.
| """ | |
| 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. |
| import os | |
| import pyaudio | |
| import json | |
| import websockets | |
| import asyncio | |
| from dotenv import load_dotenv | |
| import signal | |
| import sys | |
| import base64 | |
| import uuid |