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v0.6.0

neondatabase/neonv0.6.0Feb 2, 2026by paulosalem

AI Summary

This release updates the default model to GPT-5-mini and introduces new tools for empirical validation and local model support. Key additions include a Jupyter widget for interactive chat, cost tracking utilities, and experimental Ollama support. Users are advised to adjust their `config.ini` settings as GPT-5 uses different parameters than previous versions.

Key Highlights

  • Default model updated to `gpt-5-mini` with required configuration adjustments
  • New `SimulationExperimentEmpiricalValidator` for validating simulations against real-world data
  • Introduction of `AgentChatJupyterWidget` for interactive agent conversations
  • Added cost tracking utilities at client, environment, and agent levels
  • Experimental support for local models via Ollama

Breaking Changes

  • GPT-5 model parameters differ from GPT-4*, requiring users to adjust `config.ini` settings.

New Features

  • SimulationExperimentEmpiricalValidator
  • AgentChatJupyterWidget
  • Cost tracking utilities
  • Ollama support
  • New example notebooks

Full Release Notes

**[2026-02-01] Release 0.6.0 with new features and model updates:**
  - Default model is now `gpt-5-mini`. **Important:** The GPT-5 model series uses different parameters than the former GPT-4* series, so you may need to adjust your `config.ini` settings accordingly. Legacy models (`gpt-4.1-mini`, `gpt-4o-mini`) are still supported.
  - Introduces `SimulationExperimentEmpiricalValidator` to compare simulation results against real-world empirical data using statistical tests (t-test, KS-test). This is essential for validating that simulations match actual human behavior.
  - Introduces `AgentChatJupyterWidget` for interactive conversations with agents directly in Jupyter notebooks.
  - New cost tracking utilities at client, environment, and agent levels to monitor API expenses.
  - Adds experimental/limited Ollama support for local models. See [Ollama Support](./docs/guides/ollama.md) for details.
  - New example notebooks demonstrating empirical validation against real survey data.
  
  **Note: GPT-5 model parameters differ from GPT-4*, so please retest your important scenarios and adjust configurations accordingly.**