npx agentspec-cli install 8f361c6c-a22f-4daa-8989-1c90804e2c4b --file-type agents-md→ .agents/
# AGENTS.md ## Setup commands ### Quick start - Install deps: `./scripts/setup.sh` - Start dev servers: `./start-dev.sh` - Run tests: `./test.sh` ### Manual setup - Backend deps: `cd backend && uv pip install -e .` - Frontend deps: `cd frontend && npm install` - Backend dev server: `cd backend && app-dev` (with auto-reload) or `cd backend && app` (production) - Frontend dev server: `cd frontend && npm run dev` ## Project overview This is a modern AI Agent application built with: - **Backend**: Python 3.12 + Agno framework + FastAPI - **Frontend**: TypeScript + Next.js 16 + React 19 + Tailwind CSS 4 + CopilotKit - **Communication**: AG-UI Protocol for real-time agent interactions via CopilotKit - **Architecture**: Monorepo with backend and frontend integration ## Code style ### Backend (Python) - Use Python 3.12+ with strict type hints - Follow PEP 8 style guide - Use `uv` for package management - Docstrings follow Google style - Async/await for I/O operations - Environment variables for configuration ### Frontend (TypeScript) - TypeScript strict mode enabled - Next.js 16 App Router architecture - Use functional React components with hooks - Tailwind CSS 4 for styling - CopilotKit for AI agent integration - AG-UI protocol via @ag-ui/agno adapter - Server components by default, client components when needed ### General - Conventional commits for git messages - Write tests for all new features - Use descriptive variable and function names - Keep components small and focused - Error boundaries for graceful failure handling ## Dev environment tips ### Backend development - Use `uv venv --python 3.12` for virtual environments - Run `uv pip install -e .` for editable installs - Check `.env.example` for required environment variables - Use `app-dev` for development server (auto-reload) or `app` for production server - Logs are structured JSON for easy parsing ### Frontend development - Use `npm` as the package manager - Run `npm run lint` for linting with ESLint - Hot reload enabled on file changes (Next.js Fast Refresh) - CopilotKit runtime handles AG-UI protocol connections - API routes in `app/api/copilotkit/route.ts` for backend integration ### Testing - Backend tests: `cd backend && python -m pytest tests/ -v` - Frontend: Testing setup pending (to be configured) - Integration tests: `./test.sh` - Coverage reports generated automatically ### Common workflows - Add new agent: Create in `backend/src/agents/` (see `backend/AGENTS.md`) - Add new tool: Create in `backend/src/tools/` (see `backend/AGENTS.md`) - Add new page: Create in `frontend/app/` - Add API route: Create in `frontend/app/api/` - Update CopilotKit integration: Modify `frontend/app/api/copilotkit/route.ts` ## Testing instructions ### Prerequisites - Backend: `cd backend && source .venv/bin/activate` - Frontend: Node.js 20+ and npm installed ### Running tests - Backend only: `cd backend && python -m pytest tests/ -v` - Frontend: Testing framework to be configured - Integration tests: Manual testing via running both servers ### Test coverage - Backend: Generates HTML coverage report in `backend/htmlcov/` - Frontend: To be configured ### Test patterns - Unit tests for individual functions/classes - Integration tests for API endpoints - Agent integration tests for AG-UI protocol communication ## Security considerations ### API security - All API endpoints validate input with Pydantic models - Rate limiting implemented on chat endpoints - CORS configured for frontend domain only - Environment variables for all secrets (no hardcoded keys) ### Frontend security - Next.js built-in security features enabled - XSS protection through React's built-in escaping - API keys stored in environment variables, not client code - CopilotKit runtime handles secure agent communication - Server-side API routes for backend integration ### Data protection - No sensitive data logged in production - User conversations stored encrypted - Regular security audits of dependencies - GDPR compliance for user data handling ## Performance considerations ### Backend optimization - Async request handling with FastAPI - Connection pooling for database operations - Caching for frequently accessed knowledge - Streaming responses for real-time chat ### Frontend optimization - Automatic code splitting with Next.js App Router - Server components for reduced client bundle size - Lazy loading for large components - React.memo for expensive renders - Image optimization with next/image - Font optimization with next/font ### Monitoring - Response time tracking for all API calls - Memory usage monitoring for agent instances - Frontend bundle size analysis - Database query performance logging ## Common workflows - Add new agent: Create in `backend/src/agents/` (see `backend/AGENTS.md`) - Add new tool: Create in `backend/src/tools/` (see `backend/AGENTS.md`) - Add new page: Create in `frontend/app/` (see `frontend/AGENTS.md`) - Add API route: Create in `frontend/app/api/` (see `frontend/AGENTS.md`) - Update CopilotKit integration: Modify `frontend/app/api/copilotkit/route.ts` ## Sub-Level Documentation Standards ### Backend Documentation (`backend/AGENTS.md`) The backend follows these additional guidelines: - Use `uv` for package management (not `pip`) - Server commands: `app-dev` (development), `app` (production) - Python 3.12+ with strict type hints - Qwen models require role mapping fix - Tool development standards in `backend/src/tools/AGENTS.md` - Agent development standards in `backend/src/agents/AGENTS.md` ### Frontend Documentation (`frontend/AGENTS.md`) The frontend follows these additional guidelines: - Use `npm` as package manager - Next.js 16 App Router architecture - TypeScript strict mode enabled - Server Components by default, Client Components when needed - CopilotKit for AI agent integration - AG-UI protocol via @ag-ui/agno adapter ### Agent Development (`backend/src/agents/AGENTS.md`) When creating agents: - Use folder-based structure: `agent_name/__init__.py`, `agent.py`, `README.md` - Choose model based on complexity: qwen-plus (simple), qwen-max (complex) - Include detailed `instructions` with domain knowledge - Document HITL (Human-in-the-Loop) requirements - Follow naming conventions and import order ### Tool Development (`backend/src/tools/AGENTS.md`) When creating tools: - Separate core logic (`core.py`) from tool wrapper (`__init__.py`) - Use complete type hints and Google-style docstrings - Test core functions directly, not via `.entrypoint` - Document HITL requirements clearly - Use `@tool` decorator with detailed `instructions` ## Resources - Backend details: See `backend/AGENTS.md` - Frontend details: See `frontend/AGENTS.md` - Agent development: See `backend/src/agents/AGENTS.md` - Tool development: See `backend/src/tools/AGENTS.md` - [Agno documentation](https://docs.agno.com) - [AG-UI protocol documentation](https://docs.ag-ui.com) - [Next.js documentation](https://nextjs.org/docs) - [CopilotKit documentation](https://docs.copilotkit.ai)
Agents.md
This document provides instructions for AI agents working on this codebase.
by AgentHub Crawler
AGENTS.md - Universal AI Agent Configuration
This file provides comprehensive guidance for AI agents working with code in this repository.
by AgentHub Crawler
AGENTS.md
This file contains notes and instructions for AI coding agents (like yourself) working on the `ai-factory` project. The overarching goal of this experiment is to achieve **self-assembly** and autonomous evolution.
by AgentHub Crawler
AGENTS.md
Sign in to leave a comment.
This file provides guidance to AI agents when working with code in this repository.
by AgentHub Crawler