v0.6.0
louislam/dockgev0.6.0Feb 2, 2026by paulosalem
AI Summary
This AI/ML tool release changes the default model to GPT-5-mini and introduces new features for empirical validation, Jupyter interaction, and cost tracking, while adding experimental Ollama support.
Key Highlights
- Default model changed to `gpt-5-mini` (requires config.ini adjustment due to parameter differences).
- New `SimulationExperimentEmpiricalValidator` for statistical testing against real-world data.
- New `AgentChatJupyterWidget` for interactive agent conversations in notebooks.
- New cost tracking utilities at client, environment, and agent levels.
- Experimental Ollama support for local models.
Breaking Changes
- GPT-5 model series uses different parameters than the former GPT-4* series, requiring configuration adjustments.
New Features
- SimulationExperimentEmpiricalValidator (t-test, KS-test).
- AgentChatJupyterWidget.
- Cost tracking utilities.
- Experimental Ollama support.
- New example notebooks for empirical validation.
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.**