Feature/auto eval - #38
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…lysis - Created evaluator files for contract analysis, legal research, classification, compliance checking, and void-clause analysis. - Updated instruction files to clarify research strategy, output format, and compliance reporting requirements. - Introduced a new JSON configuration file for the judge model.
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This pull request updates the AI agent and reasoning kit documentation to add support for automated evaluation of workflow steps using a judge LLM, introduces the
kit.jsonconfiguration file for kit-level defaults, and clarifies evaluation modes and CLI flags. It also improves formatting and code examples for clarity. Below are the most important changes:Automated Evaluation and Judge LLM Support
--auto-evaluateflag and/or theauto_evaluate=Trueargument in Python. Describes how steps are scored automatically usingevaluator_N.txtorevaluator_N.jsonfiles, and how the judge model can be specified per run or viakit.json. [1] [2] [3]Kit Configuration Enhancements
kit.jsonfile for kit-level configuration defaults, includingmodel,judge_model,mode, andevaluator_aggregation. Added documentation for the file format, precedence rules, and integration with theReasoningKitand newKitConfigdata model. [1] [2]Evaluation File and Aggregation Support
evaluator_N.txt,evaluator_N.json), and theevaluator_aggregationstrategy (average,min,max,first). [1] [2] [3]Formatting, Tech Stack, and Command Documentation
gpt-5.4-nanothroughout. [1] [2] [3] [4] [5].github/instructions/AGENTS.md.instructions.md. [1] [2] [3]Minor Improvements