llm-behavioral-eval 1.0.0

Evaluate LLMs against behavioral specifications (AGENTS.md, Claude.md, custom rules)

llm-behavioral-eval

Spec-agnostic LLM evaluation engine. Measures how well any LLM follows behavioral specifications (AGENTS.md, CLAUDE.md, .cursorrules, etc.).

Quick Start

pip install llm-behavioral-eval

# Evaluate any spec directory
behavioral-eval --spec ./my-project --suite core_principles --count 20 --real-llm

# Full evaluation with LLM judge
behavioral-eval --spec ./dann-specs/project --suite all --real-llm --judge-provider deepseek

# Heuristic mode (no API cost for judge)
behavioral-eval --spec ./dann-specs/project --suite all --real-llm --no-judge

# A/B comparison between two models
behavioral-eval --spec ./dann-specs/project --arena llama-home ollama-home --count 30 --real-llm

Features

• 5 test suites: core_principles, rubric_dimensions, roles, variants, concrete
• LLM Judge: external LLM scores responses per-dimension (1-5) with justifications
• Concrete verification: executable coding tasks with real assertion testing
• Consistency: --repetitions N measures model stability
• A/B Arena: compare two models head-to-head with statistical significance
• Heatmaps: per-dimension score breakdowns
• Spec-agnostic: evaluates any behavioral specification directory