Strict analysis of a code fragment using Groq LLM.

Compares two versions of code and evaluates whether the change is an improvement.

Performs a structured diff analysis: identifies what improved, what regressed, and what changed neutrally. Returns a merge recommendation based on the findings. Useful for code review, refactoring validation, and AI-generated code verification.

Explains what code does - step by step and clearly. Args: code: Code to explain. language: Programming language. audience: Target audience level - junior, middle, or senior. Returns: JSON with step-by-step explanation, key concepts, and gotchas.

Generates tests for the provided code. Args: code: Code to generate tests for. language: Programming language. framework: Test framework (optional - pytest, jest, unittest, etc.). Returns: JSON with test cases, runnable test code, and coverage estimate.

Analyzes a whole code file from disk. Automatically detects language by file extension. Large files are split into chunks and analyzed in parallel.

Shows cache statistics or clears the cache Args: clear: True - clears the cache, False - shows statistics.

Returns: JSON with cache stats or clear result.

Generates a beautiful HTML report from analyze_code or analyze_file results. Args: analysis_json: JSON string from analyze_code or analyze_file. output_path: Path to save the HTML file (optional). source_name: File/fragment name for the report title. Returns: JSON with fields: html, saved_to, length.