flexai-agent 0.1.0

API-agnostic agentic Python package with configurable providers

Flexai

An API-agnostic agentic Python package that provides Cursor/Replit-like functionality with configurable API providers. Build your own AI coding assistant that works with any OpenAI-compatible API!

Features

• 🔗 API Agnostic: Works with OpenAI, local models, or any API following OpenAI format
• 🤖 Intelligent Agent: Code generation, chat, analysis, debugging, and explanation capabilities
• 📁 Project-Aware Workflows: Analyzes entire codebases and maintains context with agent.md files
• ⚙️ Multi-Provider: Easy switching between different API providers (OpenAI, local LLMs, etc.)
• 🖥️ Rich CLI: Beautiful terminal interface with syntax highlighting and markdown rendering
• 🔒 Safe Execution: Sandboxed code execution with timeout protection for Python, JavaScript, and Bash
• 📝 Persistent Context: Maintains chat history and project context across sessions
• 🎨 Professional Output: Rich terminal formatting with code syntax highlighting

Quick Start

1. Installation

Option A: Using uv (Recommended)

# Clone the repository
git clone https://github.com/kelleyblackmore/Flexai.git
cd Flexai

# Install uv if you don't have it
curl -LsSf https://astral.sh/uv/install.sh | sh

# Set up the project with uv
uv sync

# Set up OpenAI API key (get one from https://platform.openai.com)
export OPENAI_API_KEY="your-api-key-here"

# Quick setup with OpenAI
uv run python scripts/test_flexai.py

Option B: Using pip

# Clone the repository
git clone https://github.com/kelleyblackmore/Flexai.git
cd Flexai

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -e .

# Set up OpenAI API key (get one from https://platform.openai.com)
export OPENAI_API_KEY="your-api-key-here"

# Quick setup with OpenAI
python scripts/test_flexai.py

2. Try the Examples

# Run the complete workflow demo
uv run python examples/demo.py

# Try the Ollama integration demo
uv run python examples/example_workflow.py

# Test with the sample project
cd examples/example_project
uv run python main.py

2. Basic Usage

# List available commands
python main.py --help

# Start interactive chat
python main.py chat

# Generate code
python main.py generate "Create a web scraper in Python"

# List configured providers
python main.py list

# Execute a code file
python main.py execute my_script.py

🚀 Enhanced Project Workflow (NEW!)

The most powerful feature - project-aware AI that understands your entire codebase:

# Analyze and work on any project with full context
python flexai.py project --dir ./my-app --task "update README with installation instructions"
python flexai.py project --dir ./backend --task "refactor user authentication module"  
python flexai.py project --dir ./frontend --task "add dark mode toggle component"

📁 Project Structure

flexai/
├── docs/                    # 📚 Documentation
│   ├── README.md           # Documentation index
│   ├── WORKFLOW_GUIDE.md   # Complete user guide
│   ├── IMPLEMENTATION_SUMMARY.md # Technical overview
│   └── GIT_SETUP.md        # Development setup
├── examples/               # 🎯 Examples and demos
│   ├── demo.py            # Complete workflow demo
│   ├── example_workflow.py # Ollama integration demo
│   ├── example_project/   # Sample project for testing
│   └── README.md          # Examples guide
├── scripts/               # 🛠️ Utility scripts
│   ├── test_workflow.py   # Comprehensive test suite
│   └── README.md          # Scripts guide
├── flexai/                # 📦 Main package
├── tests/                 # 🧪 Core tests
├── flexai.py             # 🚀 CLI entry point
└── README.md             # 📖 This file

What makes this special:

🔍 Automatic Project Analysis

• Crawls entire project structure and key files
• Detects dependencies and tech stack (Python, Node.js, etc.)
• Analyzes README, package.json, requirements.txt, and config files

📊 Git Integration

• Checks current branch and recent commits
• Identifies uncommitted changes
• Provides git context to AI for better understanding

📝 Agent Context Management

• Creates and maintains agent.md files for project-specific context
• Tracks previous tasks and decisions
• Provides persistent project memory across sessions

🤖 Enhanced AI Understanding

• AI receives complete project context before executing tasks
• Understands existing patterns, dependencies, and architecture
• Makes informed decisions that fit with your codebase

Example Project Workflow:

# The AI will automatically:
# 1. Analyze your project structure and dependencies
# 2. Check git status and recent changes  
# 3. Read existing documentation and patterns
# 4. Create/update agent.md with project context
# 5. Execute your task with full understanding
# 6. Update agent.md with completion notes

python flexai.py project --dir ./my-web-app --task "add user authentication system"

Advanced Configuration

Multiple API Providers

You can configure multiple providers and switch between them:

# Configure OpenAI
python main.py configure
# Provider name: openai
# API Key: your-openai-key
# Base URL: https://api.openai.com/v1
# Model: gpt-4o-mini

# Configure a local model (e.g., Ollama)
python main.py configure
# Provider name: local
# API Key: not-needed
# Base URL: http://localhost:11434/v1
# Model: llama2

# Switch between providers
python main.py switch local
python main.py switch openai

Programmatic Usage

from flexai.config import Config
from flexai.agent import Agent

# Initialize
config = Config()
agent = Agent(config)

# Chat
response = agent.chat("Explain recursion in Python")

# Generate code
code = agent.generate_code("Sort a list using quicksort", "python")

# Analyze code
analysis = agent.analyze_code(code, "python")

# Execute code safely
result = agent.execute_code(code, "python")

Supported Providers

• OpenAI: GPT-4, GPT-4o, GPT-3.5-turbo
• Local Models: Ollama, LM Studio, or any OpenAI-compatible endpoint
• Other Services: Any API that follows OpenAI's chat completions format

Core Capabilities

1. Code Generation

Generate complete, production-ready code in multiple languages:

• Python, JavaScript, Go, Rust, and more
• Includes proper documentation and error handling
• Follows language-specific best practices

2. Code Analysis & Review

• Quality assessment and bug detection
• Performance optimization suggestions
• Security vulnerability scanning
• Best practice recommendations

3. Interactive Debugging

• Error explanation and fix suggestions
• Step-by-step debugging guidance
• Code improvement recommendations

4. Safe Code Execution

• Sandboxed execution environment
• Timeout protection (30s default)
• Support for Python, JavaScript, and Bash
• Automatic cleanup of temporary files

5. Multi-Provider Support

• Easy switching between API providers
• Fallback options for reliability
• Cost optimization through provider selection

Examples

Chat Mode

$ python main.py chat
💬 Chat Mode - Type 'exit' to quit

You: How do I implement a binary search tree in Python?

Agent: I'll help you implement a binary search tree in Python. Here's a complete implementation...

Code Generation

$ python main.py generate "Create a REST API using Flask"

Code Execution

$ python main.py execute fibonacci.py

Configuration File

Agentix stores configuration in ~/.agentix/config.yaml:

active_provider: openai
providers:
  openai:
    api_key: your-key-here
    base_url: https://api.openai.com/v1
    model: gpt-4o-mini
  local:
    api_key: not-needed
    base_url: http://localhost:11434/v1
    model: llama2

📚 Documentation

• Workflow Guide - Complete user guide with examples
• Implementation Summary - Technical implementation details
• Examples - Demo scripts and sample projects
• Scripts - Utility scripts and testing tools

🧪 Testing

# Run the comprehensive test suite
uv run python scripts/test_workflow.py

# Run core tests
uv run pytest tests/

# Run specific test categories
uv run pytest scripts/test_workflow.py::TestConfiguration -v

Contributing

We welcome contributions! Please see our Contributing Guide for details.

Quick Start for Contributors

# Fork and clone the repository
git clone https://github.com/your-username/Flexai.git
cd Flexai

# Set up development environment
uv sync

# Run tests
uv run pytest tests/

# Make your changes and submit a PR

Development Tools

# Code formatting
uv run black .

# Linting
uv run ruff check .

# Type checking
uv run mypy flexai/

# Security scan
uv run bandit -r flexai/

🚀 CI/CD Status

Our CI/CD pipeline includes:

• ✅ Automated Testing - Runs on Python 3.11, 3.12, 3.13
• ✅ Code Quality - Linting, formatting, and type checking
• ✅ Security Scanning - Vulnerability and security checks
• ✅ Automated Publishing - PyPI releases on GitHub releases

License

MIT License - see LICENSE file for details