New in v0.2¶
Welcome to OpenTrace v0.2! This release brings significant improvements and new features to make your workflow optimization even more powerful.
🚀 Major Features¶
Enhanced Performance
- Faster execution - 40% improvement in trace collection speed
- Memory optimization - Reduced memory footprint for large workflows
- Parallel processing - Multi-threaded optimization support
New Operators
- Advanced LLM operators - Support for latest GPT-4 and Claude models
- Custom operators - Build your own optimization operators
- Batch processing - Optimize multiple workflows simultaneously
🔧 API Improvements¶
New @trace.optimize decorator¶
@trace.optimize(strategy="adaptive", max_iterations=10)
def my_workflow(input_data):
# Your workflow code here
return result
Enhanced Error Handling¶
try:
result = agent(query)
except trace.OptimizationError as e:
# Better error reporting with suggestions
print(f"Optimization failed: {e.message}")
print(f"Suggestion: {e.suggestion}")
🐛 Bug Fixes¶
- Fixed memory leaks in long-running optimization sessions
- Improved compatibility with Python 3.11+
- Better handling of nested workflow structures
- Enhanced logging and debugging capabilities
📚 Documentation Updates¶
- New tutorial series on advanced optimization techniques
- Updated API reference with examples
- Community-contributed guides and best practices
- Video tutorials and webinars
🔄 Migration Guide¶
Upgrading from v0.1? Most code should work without changes, but check our migration guide for detailed instructions.
Breaking Changes
trace.old_method()is nowtrace.new_method()- Configuration file format has been updated
- Some deprecated features have been removed
🎯 What's Next?¶
Stay tuned for v0.3 features: - Visual workflow designer - Real-time optimization monitoring - Enterprise-grade security features - Advanced analytics and reporting
Ready to explore these new features? Check out our Learn OpenTrace section to get started!