Refine GRPO evaluation details and clarify model performance comparisons in Blog.md

Revise reasoning for choosing SFT + agentic loop over SFT + GRPO in deployment documentation

Remove placeholder for YouTube demo link in README.md

Update README.md to correct title and enhance color scheme, app configuration, and metadata

Add initial blog post detailing ArchitectureEnv and its design approach

Add front matter to README.md for enhanced metadata and project visibility

Update README.md for improved clarity and structure, including quick start instructions and enhanced project description.

Add analysis of SFT vs GRPO performance and rationale for model selection

Remove outdated inference reward curve plot and add new loss and reward curve plots for improved analysis.

Add inference reward curve plot

Update LocalModelClient initialization to use MODEL_REPO_ID instead of MODEL_DIR

Update README.md with installation instructions and modify agentic_inference.py to print MODEL_REPO_ID instead of MODEL_DIR

updated inference to use the model deployed on sft

moved app.py to fix the runtime error

Add scripts for supervised fine-tuning and GRPO training

round2: inference and planner critic design

Update inference.py

Update inference.py

Update inference.py

Update inference.py

Update inference.py

Update inference.py

Update inference.py

Update inference.py

Refactor code structure for improved readability and maintainability

Add metadata section to README.md for project details

Revise README.md for clarity and structure; update benchmark description and task details

Simplify main function by removing host and port arguments in app.py

add uv lock

Update error handling for missing HF_TOKEN in inference.py

Refactor requirements file structure

Update inference.py

Fixed architecture step function

Update models.py

Update README.md

Update server/app.py

Update Dockerfile

Updated docker server config

Update server/app.py

Update openenv.yaml

Fixed deployment bugs

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Create server/app.py

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initial commit