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v0.6.0

YassKhazzan/openperplex_backend_osv0.6.0Feb 2, 2026by paulosalem

AI Summary

This release updates the default model to GPT-5-mini and introduces new validation tools for comparing simulations with empirical data. It also adds interactive Jupyter widgets, cost tracking utilities, and experimental support for local Ollama models.

Key Highlights

  • Default model updated to GPT-5-mini (requires config adjustment)
  • New EmpiricalValidator for statistical simulation comparison
  • AgentChatJupyterWidget for interactive agent conversations
  • Cost tracking utilities at client, environment, and agent levels
  • Experimental Ollama support for local models

Breaking Changes

  • Default model changed to GPT-5-mini; users may need to adjust config.ini settings due to parameter differences

New Features

  • Default model set to GPT-5-mini
  • SimulationExperimentEmpiricalValidator for real-world data comparison
  • AgentChatJupyterWidget for Jupyter notebooks
  • Cost tracking utilities
  • Experimental Ollama support

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.**