Feature/ollama integration enhancement

[18300676767]

Features

• Enhanced Ollama integration with improved multilingual support for Chinese, Japanese, and Korean languages
• Optimized Ollama provider compatibility with better error handling and connection management
• Added comprehensive Ollama integration testing suite with multilingual detection capabilities
• Improved MetaGPT's task decomposition and multi-agent collaboration mechanisms
• Enhanced memory management and action systems for better AI assistant performance
• Streamlined codebase structure for improved maintainability and extensibility

Feature Docs

• Ollama Integration Guide: Enhanced support for local LLM deployment with multilingual capabilities
• MetaGPT Architecture Analysis: Comprehensive documentation of task decomposition and agent collaboration patterns
• Testing Framework: Complete test suite for Ollama integration with multilingual support validation

Influence

• Enhanced Local LLM Support: Improved Ollama integration enables users to run MetaGPT with local language models, reducing dependency on cloud APIs
• Multilingual Capabilities: Better support for Chinese, Japanese, and Korean languages expands MetaGPT's global accessibility
• Improved Stability: Enhanced error handling and connection management increases system reliability
• Better Developer Experience: Comprehensive testing suite and documentation facilitate easier development and debugging
• Performance Optimization: Streamlined codebase and improved memory management enhance overall system performance

Result

• All Ollama integration tests passing with multilingual support validation
• Successful connection to local Ollama instances at http://127.0.0.1:11434
• Improved error handling for network connectivity issues
• Enhanced language detection accuracy for CJK languages
• Optimized memory usage and response times in multi-agent scenarios

Other

• This PR focuses on improving MetaGPT's core functionality while maintaining backward compatibility
• All changes follow MetaGPT's existing coding standards and architecture patterns
• The multilingual support enhancements are designed to be extensible for additional languages
• Performance improvements are achieved without compromising existing features
• Comprehensive documentation and testing ensure long-term maintainability