Release 1.1.0

1.1.0

What is new?

New Core Functions:

• Synthetic Data Generator:
  • an auxiliary module for synthetic data generation when no input dataset is provided
• Task Detector:
  • an automated task classification component for scenarios without explicit user-defined task specifications
• PromptAssistant:
  • a LLM-based component helps to interpret prompt optimization results
  • can be assigned separatly from target llm for prompting by system_model argument
  • also helps to create a synthetic dataset

Upgrades:

• Boosted HyPE:
  • New meta-prompt for optimizer HyPE that provides stronger instructive prompts
• New default llm:
  • We chose a small llm qwen3-4b-intsruct by a native huggingface launch
• New metrics:
  • Bert-score (with multilingual model) and G-Eval (experimental)

And more micro features

Check our notebook with new run examples