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cmmit kodthuna

Copied source project

Revert: environment.step() is now grading-only (LLM solving happens in inference.py)

Fix: use HF_TOKEN or API_KEY for autonomous solver credentials

Integrate LLM agent into environment.step() - autonomously generate fixes when validator sends empty fixed_config

Enhanced validator payload diagnostic logging - capture action schema and fixed_config details

Debug: log what validator is actually submitting to step endpoint

Dual-interface compatibility: graders return float for validator, environment converts to tuple internally

Debug: add grader output logging to inspect raw reward values

Replace repo with updated config-debug files