fix: eliminate all 0.0 reward values across all files

fix: progress_ratio default 0.01

fix: total_reward init 0.01

fix: remove function aliases from grader_api, classes only, NaN protection

fix: grader classes with grade() method per Meta feedback

fix: model defaults 0.01 not 0.0

fix: initial previous_reward 0.01 not 0.0

fix: reset reward 0.01 not 0.0

fix: grader handles all call patterns, reset reward 0.01

fix: class-based graders with grade() method per Meta instructions

fix: bulletproof graders - never throw, always return float in range

fix: grader_api returns float only, not tuple

fix: correct step format, per-task output, tuple grader returns

add POST /grader endpoint for validator

trigger rebuild

fix: resolve merge conflict in grader_api.py

Refactor graders to use clamping wrapper

Update grader_api.py

Update app.py

Update env.py

CRITICAL FIX: Add missing grader_api.py

SIMPLIFY: Override /reset to create fresh environment directly, avoiding original endpoint call

FIX: Properly type request parameter in /reset endpoint as fastapi.Request

CRITICAL FIX: Replace /reset middleware with direct endpoint override - ensure base fields included

ENHANCE: Update reset middleware to include base Observation fields (done, reward, metadata) at top level

FIX: Add middleware to correct /reset response schema - add 'info' field, remove reward/done

Add comprehensive instrumentation to all graders for validator diagnostic

Add detailed instrumentation to grade_task1 and normalize_reward for validator debugging

CRITICAL RUNTIME FIX: Remove tuple unpacking from environment handlers - graders now return FLOAT only, not tuples

CRITICAL FIX: Graders now return FLOAT ONLY (not tuples) for validator contract compliance - extracted float from raw grader tuples

CRITICAL FIX: Wrappers now return full tuples (reward, error, bugs) instead of just floats - fixes env.py unpacking

Add comprehensive runtime grader validation endpoint (/validate-graders) to audit actual grader outputs under validator-style conditions

CRITICAL WIRING FIX: Import wrapped graders from grader_api, not raw graders - ensures normalization is used

FINAL FIX: Centralized universal reward normalization - GUARANTEES all scores in (0.01, 0.99)

CRITICAL BUG FIX: Clamp reward on ALL early return paths - prevents returning 0.0

Enhanced /diagnostics: validate manifest import paths with importlib (mirrors validator behavior)

Add startup and diagnostics logging to debug task loading

Simplify metadata task schema to minimal fields (id, has_grader) for validator compatibility

PROPER FIX: Remove default /metadata route before registering custom override with tasks

CRITICAL FIX: Add /metadata endpoint with task enumeration for validator discovery

Add validator invocation logging to all grader wrappers

Add debug endpoint to verify deployed grader fix

Fix: Enforce strict open interval (0.01, 0.99) for all grader rewards - validator compliance

Phase 2: Benchmark Quality Upgrades - Progressive graders, realistic multi-bug tasks, ground_truth exposure