v0.1.1

Changed

• Renamed Package: Canonical name changed from Polysome to polysome (lowercase) for consistency with Python standards.
• GUI Integration: Prompt Editor is now integrated into the CLI via polysome-gui.
• Dependency Structure: Introduced [ui] extra for minimal GUI install and [all] for full engine support.
• Default Model: Updated example templates to use google/gemma-3-4b-it.

Fixed

• Jinja2 Syntax: Corrected variable interpolation syntax in prompt templates.
• Workflow Error Handling: Improved Workflow.run to correctly report node failures.
• CLI Scripting: Fixed Bash arithmetic evaluation in integration test scripts.

v0.1.0 - Initial Release

• Initial Release: Polysome v0.1.0 is now available!
• Workflow Engine: DAG-based pipeline orchestration for data processing and generation.
• Inference Engines: Support for multiple LLM backends:
  • HuggingFace Transformers: Standard backend for PyTorch models.
  • vLLM: High-performance inference engine with quantization support.
  • llama.cpp: Efficient CPU/Apple Silicon inference using GGUF models.
  • vLLM Data Parallel: Multi-GPU batch processing support.
• Node Types:
  • load: Flexible data loading from JSON/JSONL/CSV.
  • text_prompt: Core LLM processing node with Jinja2 templating and few-shot support.
  • combine_intermediate_outputs: Merge workflow branches.
  • Utility nodes: regex_split, sentence_split, deduplication, row_concatenation, column_concatenation.
• CLI Tool: polysome command-line interface for:
  • init: Scaffolding new projects with templates.
  • run: Executing workflows with validation.
• Docker Support: Ready-to-use Docker images for GPU (CUDA) and CPU (ARM64) environments.
• Prompt Editor: Streamlit-based UI for designing and testing prompts (polysome-prompt-editor).
• Documentation: Comprehensive guides for installation, workflows, prompt engineering, and docker usage.