[Example] Frozen_Lake #375
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Summary of ChangesHello @hiyuchang, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request integrates the Frozen Lake environment as a new example, providing all necessary components for its setup and execution. It introduces a dedicated workflow and data generation utilities. Additionally, it refines the core model's experience processing by implementing token truncation logic and adjusting rewards for truncated sequences, improving robustness and handling of long sequences. Highlights
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Code Review
This pull request introduces the FrozenLake environment as a multi-step workflow, including data preparation, configuration, and workflow logic. It also includes updates to the vllm_model.py to handle token truncation and enrich the Experience object with prompt_text and response_text, and updates to the base workflow.py to process these new fields and penalize truncated experiences. Several debug print statements and hardcoded values were identified that should be addressed for production readiness and maintainability. There's also a potential inconsistency in max_steps between the YAML configuration and the utils.py file for map generation, which could impact the environment's solvability.
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/unittest-module-common |
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Tests
Github Test Reporter by CTRF 💚 |
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/unittest-module-common |
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Tests
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/unittest-all |
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pan-x-c
reviewed
Nov 21, 2025
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/unittest-all |
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pan-x-c
reviewed
Nov 24, 2025
pan-x-c
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Nov 24, 2025
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Description
As the title says.
enable_prompt_truncationand unittestsChecklist
Please check the following items before code is ready to be reviewed.