Show HN: Identa – CLI to calibrate prompts across local LLMs

A prompt tuned for Llama 3 often degrades on Mistral or Qwen — same task, different behavioral surface. Identa automates the recalibration. It implements two things from the PromptBridge paper (arXiv:2512.01420):

A transfer engine that learns a mapping between model behaviors using source/target prompt pairs A MAP-RPE evolutionary loop that iteratively improves candidates against a scoring function until behavioral parity is reached

Works fully local via Ollama. Also supports OpenRouter for cross-hosted runs. No telemetry, no cloud dependency. Built with Python, Typer, Pydantic. Happy to go deep on the calibration algorithm or the tradeoffs in the scoring design.

https://github.com/shepax/identa-agent