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Beautify /tasks page
Verified signature78e5e2f -
Replace interactive demo with static episode walkthrough
Verified signature5802633 -
sync ui + env files
Verified signaturef7be168 -
sync ui + env files
Verified signature88e16bd -
sync ui + env files
Verified signatureff150bf -
sync ui + env files
Verified signature1acd19a -
sync ui + env files
Verified signatureb128b17 -
Audit fixes: openenv-core in requirements, state @property, yaml counts, pyproject version
Verified signature69278ea -
Audit fixes: openenv-core in requirements, state @property, yaml counts, pyproject version
Verified signaturea630509 -
OpenEnv compliance: app/environment.py
Verified signature7c88f99
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Upload app/models.py with huggingface_hub
Verified signature8ac7ae7 -
Upload app/tasks.py with huggingface_hub
Verified signature5f88b7e -
Upload app/main.py with huggingface_hub
Verified signature039764c
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AP commander update
e6d0992
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loading screen
ebd2b85 -
Clamp final score explicitly in every grader to max(0.01, min(0.99, ...))
LLM evaluator reads source code and sees min(1.0,...) or round(...) which can produce exactly 0.0 or 1.0. Now every grader has explicit open-interval clamping at the final= line, making it unambiguous to both runtime and static analysis. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>4971dc1 -
Fix all declared and runtime 0.0/1.0 score references
- openenv.yaml: reward_range [0.0,1.0] -> [0.01,0.99], target_score 1.0 -> 0.99 - environment.py: all episode_score init/reset from 0.0 -> 0.01, intermediate info 0.0 -> 0.01 The LLM evaluator reads openenv.yaml and sees declared range/targets that include boundary values 0.0 and 1.0, failing the strict open interval check before even calling the API. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>a3195d7
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Clamp score at APReward model level via field_validator
Ensures 0.0->0.01 and 1.0->0.99 regardless of call path, even when graders are called directly bypassing environment.py Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>da2f340 -
Fix scores to be strictly in (0,1) open interval for evaluator
- Clamp terminal scores to (0.01, 0.99) in environment.py - Intermediate step scores changed from 0.0 to 0.01 - Upload Dockerfile with ECR mirror, inference.py with correct [START]/[STEP]/[END] format Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>efb6132 -
grader logic
dba5c32
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new tasks
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structure fix
c332138 -
changes
a4294d1 -
first commit
6405b44