Bloom: an open source tool for automated behavioral evaluations
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Bloom is an open-source agentic framework designed to automate the development and execution of **behavioral evaluations** for frontier AI models. Unlike traditional static benchmarks, it utilizes a **four-stage pipeline**—Understanding, Ideation, Rollout, and Judgment—to generate diverse, targeted scenarios that quantify specific traits like **sycophancy, sabotage, and bias**. The tool is highly configurable, allowing researchers to adjust **seed configurations**, reasoning effort, and interaction lengths to produce reproducible and statistically significant metrics. Validation experiments show that **Bloom** effectively distinguishes between baseline models and those intentionally designed to be misaligned, while its automated scoring correlates strongly with **human judgment**. By providing a scalable alternative to high-effort manual auditing, it enables the rapid measurement of **alignment-relevant behaviors** across multiple model families. Ultimately, **Bloom** serves as a specialized instrument for precise behavioral measurement, complementing broader exploratory auditing tools in the **AI safety** landscape.
Source:
December 19, 2025
Bloom: an open source tool for automated behavioral evaluations
Isha Gupta, Kai Fronsdal, Abhay Sheshadri, Jonathan Michala, Jacqueline Tay, Rowan Wang, Samuel R. Bowman, Sara Price
https://alignment.anthropic.com/2025/bloom-auto-evals/
github.com/safety-research/bloom.
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