v2.4.3 - 🤖 Nova & 🛑 Stop Sequences

2.4.0 - AWS Nova Models

✨ Added

• Support for AWS Nova models
  • Nova-Pro (300K context, multimodal, 5K output tokens)
  • Nova-Lite (300K context, multimodal, optimized for speed)
  • Nova-Micro (128K context, text-only, lowest latency)
• Nova-specific API format handling with schemaVersion "messages-v1"
• Proper inferenceConfig parameter structure for Nova models
• Automatic content array formatting for Nova message compatibility

2.4.2 - Stop Sequences Support

✨ Added

• Stop sequences support for all models
  • OpenAI-compatible stop and stop_sequences parameters
  • Automatic string-to-array conversion for compatibility
  • Model-specific parameter mapping (stop_sequences for Claude, stopSequences for Nova, stop for Llama/Mistral)
• Enhanced request building logic to include stop sequences in appropriate API formats
• Comprehensive stop sequences testing and validation

Technical Details

• Added stop_sequences_param_name configuration to all 26+ model definitions
• Updated request construction for both messages API and prompt-based models
• Supports both single string and array formats for stop sequences
• Maintains full backward compatibility with existing API usage

2.4.3 - Stop Sequences Fixes

🐛 Fixed

• Critical Discovery: Removed stop sequences support from Llama models
  • AWS Bedrock does not support stop sequences for Llama models (confirmed via official AWS documentation)
  • Llama models only support: prompt, temperature, top_p, max_gen_len, images
  • This is an AWS Bedrock limitation, not a wrapper limitation
• Fixed Nova model configuration conflicts that were causing stop sequence inconsistencies
  • Removed conflicting empty inferenceConfig: {} from Nova model configurations
• Improved error handling for empty responses when stop sequences trigger early

📦 Updated

• Documentation corrections
  • Corrected stop sequences support claims (removed "all models support" language)
  • Added accurate model-specific support matrix with sequence limits
  • Added comprehensive stop sequences support table with AWS documentation references
• Model Support Matrix now clearly documented:
  • ✅ Claude models: Full support (up to 8,191 sequences)
  • ✅ Nova models: Full support (up to 4 sequences)
  • ✅ Mistral models: Full support (up to 10 sequences)
  • ❌ Llama models: Not supported (AWS Bedrock limitation)

📃 Technical Details

• Based on comprehensive research of official AWS Bedrock documentation
• All changes maintain full backward compatibility
• Test results show significant improvements in stop sequences reliability for supported models
• Added detailed explanations to help users understand AWS Bedrock's actual capabilities