Update version to 0.1.15 and enhance README with new features and Docker support

This commit updates the version in pyproject.toml to 0.1.15 and significantly enhances the README for TinyCodeAgent, introducing a more engaging description and outlining revolutionary features such as support for any AI model, secure sandboxed execution, and flexible execution environments. Additionally, a new DockerImageBuilder class is added, providing a fluent API for creating custom Docker images, along with a DockerConfigBuilder for simplified configuration management. These updates aim to improve user experience and facilitate the integration of TinyAgent's capabilities.

Author: InsightFactoryAPP

pyproject.toml

@@ -12,8 +12,8 @@ tinyagent = ["prompts/*.yaml"]
 
 [project]
 name = "tinyagent-py"
-version = "0.1.14"
-description = "TinyAgent with MCP Client, CodeAgent (Thinking, Planning, Interactive Python and Shell with high variaety of sandboxing(Seatbelt, Modal, E2B, docker, etc) ), and Extendable Hooks, Tiny but powerful"
+version = "0.1.15"
+description = "🛠️ Build your own AI coding assistant with any model you want. Revolutionary agent framework with secure sandboxed execution, parallel subagents, and freedom to choose any LLM provider - OpenAI, Anthropic, Ollama, or 100+ others."
 readme = "README.md"
 authors = [
   {name="Mahdi Golchin", email="golchin@askdev.ai"}

tinyagent/code_agent/README.md

@@ -1,15 +1,19 @@
 # TinyCodeAgent
+🔥 **Your Personal AI Coding Powerhouse** - Secure code execution with *any* AI model, anywhere
 
-A specialized TinyAgent for code execution tasks with pluggable execution providers.
+## 🎯 The Ultimate Coding Assistant Revolution
 
-## Overview
+Imagine having the world's most powerful coding assistant that works with **your choice** of AI brain - whether that's GPT-5, Claude, or even your private Llama model running locally. TinyCodeAgent makes this dream reality.
 
-TinyCodeAgent provides a high-level interface for creating AI agents that can execute Python code using various backend providers. It's designed with enterprise-grade software engineering practices in mind:
+**This is what coding freedom looks like:**
 
-- **Extensible Provider System**: Easily add new execution providers (Modal, Docker, local, cloud functions, etc.)
-- **Clean Architecture**: Separation of concerns with modular components
-- **Enterprise Ready**: Production-ready code with proper error handling and logging
-- **Minimal Code Changes**: Adding new providers requires minimal changes to user code
+### 🌟 Revolutionary Features That Change Everything
+
+- **🧠 Any AI Model**: GPT, Claude, Ollama, or 100+ others - your choice, your control
+- **🔒 Fort Knox Security**: Military-grade sandboxing across macOS, Linux, Windows  
+- **⚡ Lightning Speed**: Native platform optimization with intelligent fallbacks
+- **🏗️ Enterprise Grade**: Production-ready architecture that scales with your dreams
+- **🎨 Infinite Flexibility**: Plugin any execution environment - Modal, Docker, local, cloud
 
 ## Quick Start
 
@@ -41,9 +45,9 @@ async def main():
 asyncio.run(main())
 ```
 
-### Using Local Models with Ollama
+### 🏠 Break Free with Local Models (Ollama)
 
-TinyCodeAgent supports local models through Ollama for code execution tasks without requiring cloud APIs.
+**Your code, your hardware, your privacy.** Run cutting-edge AI models locally and never worry about data leaving your machine again. This is true digital sovereignty.
 
 #### Prerequisites
 
@@ -250,7 +254,9 @@ import asyncio
 asyncio.run(run_example())
 ```
 
-## Architecture
+## 🏗️ Architectural Brilliance
+
+**Built for the future, designed for today.** Every line of code reflects enterprise-grade thinking with startup agility.
 
 ### Directory Structure
 
@@ -269,9 +275,9 @@ code_agent/
     └── example_tools.py   # Weather & traffic tools
 ```
 
-### Provider System
+### 🔄 The Provider Revolution
 
-The provider system allows you to easily switch between different code execution backends:
+**One interface, infinite possibilities.** Switch execution environments like changing clothes - seamlessly, instantly, powerfully:
 
 ```python
 # Use Modal (default)
@@ -539,12 +545,19 @@ python -m tinyagent.code_agent.example
 - Modal account (for Modal provider)
 - OpenAI API key or compatible LLM API
 
-## Future Roadmap
+## 🚀 The Future is Bright
+
+**This is just the beginning.** We're building the ultimate AI coding ecosystem:
+
+### 🎯 Coming Soon
+- **🐳 Docker Everywhere**: Universal containerized execution  
+- **💻 Native Local**: Direct system execution with perfect security
+- **☁️ Cloud Giants**: AWS Lambda, Google Cloud Functions, Azure
+- **🛡️ Fort Knox++**: Even more advanced security features
+- **⚡ Speed of Light**: Performance optimizations that will blow your mind
+- **🧰 Tool Galaxy**: Vast ecosystem of specialized tools and templates
+
+### 🌟 The Vision
+Imagine a world where any developer can build AI agents as powerful as the ones used by tech giants - but with complete freedom, privacy, and control. That's not a dream. **That's TinyAgent.**
 
-- [ ] Docker execution provider
-- [ ] Local execution provider  
-- [ ] AWS Lambda provider
-- [ ] Google Cloud Functions provider
-- [ ] Enhanced security features
-- [ ] Performance optimizations
-- [ ] More example tools and templates 
+**Join the revolution. Build the future. Your AI assistant awaits.**