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Fix critical crash bug + audit fixes
1. CRASH FIX: grader_hard.py line 213 — critical_caught was undefined (NameError). Now computed from _bugs_caught() before use. This would crash if any LLM approved a critical-severity PR. 2. README: Fixed stale references: - Language enum: 4 → 7 (rust, typescript, ruby added) - Test count: 19 → 21 - HF URL: openenv → ragavrida - Validation count: 15 → 17 3. inference.py: Added 3-attempt retry with exponential backoff for LLM API calls to handle transient failures. 4. env/models.py: Updated language comment to match validator. All verified: 21/21 tests, 17/17 validation, baseline runs.1a6681a -
Fix all 4 remaining issues for hackathon
1. comments=3 frozen: Server now rebuilds obs after add_comment (task_hard track comments, server updates state on each comment) 2. Heuristic > LLM: Fixed eval_live.py hard scoring to use decision-only rewards (not intermediate ack rewards) 3. 20 → 50 PR templates: Added 30 new PRs across 7 languages (python, java, go, js, typescript, rust, ruby), all 8 bug categories. Expanded PRFile language validator. 4. World model trained: Added train_world_model.py with - Pure Python MLP (no PyTorch/TF dependency) - 340 transitions, 100 epochs - Copy baseline 0.025, model 0.047 - Documents the research challenge for KW-WM7e55f05 -
CodeReviewEnv v1.0 — OpenEnv-compliant submission
- 3 tasks (easy/medium/hard) with deterministic graders - Spec-compliant inference.py with [START]/[STEP]/[END] per-task logs - Root-level baseline.py (heuristic, no API key needed) - Fixed reward double-counting bug in _apply_reward_shaping - 17/17 validation checks, 21/21 tests passing - Docker-ready on port 7860 for HF Spacesdbf5e96