CODEX_CONTEXT.md

Codex Context — ReasoningEconomicsEnv

Project

• Repo root: /Users/andrew/Mac/RL Research
• GitHub repo: git@github.com:laraandrew/reasoningeconomicsenv.git
• Active branch: polish-and-deploy
• Hugging Face Space: landrew9/CollabReasoning
• Package: reasonbudget_gym
• Goal: RL environment for token-budget allocation, competition submission, Docker-based HF Space deployment

Remotes

• origin: git@github.com:laraandrew/reasoningeconomicsenv.git
• hf: https://huggingface.co/spaces/landrew9/CollabReasoning

Current State

• main and polish-and-deploy originally pointed to the same base commit.
• Work on polish-and-deploy is pushed to GitHub through commit efdc42b.
• The shipped cache works:
  • CachedSolver(EnvConfig())._cache loads 500 entries.
• The environment now defaults to an offline-safe path for cached runs:
  • EpisodeSampler uses deterministic bundled questions when the cached solver is active.
• Real question embeddings are enabled and cached at:
  • reasonbudget_gym/data/embeddings.npy
• README now contains measured evaluation metrics and embedded plot assets.
• CI exists at .github/workflows/ci.yml.
• Dockerfile was slimmed to a runtime-only serving image suitable for HF Spaces.
• The Hugging Face Space repo was force-updated from a clean temporary clone because Hugging Face rejected the branch's historical raw binary blobs.
• The live Space is currently:
  • Hub page: https://huggingface.co/spaces/landrew9/CollabReasoning
  • Host: https://landrew9-collabreasoning.hf.space
  • Runtime stage: RUNNING
  • Health endpoint: /health
  • Root path originally returned 404; a landing page at / was then added in server/app.py

Local Tooling

• Hugging Face CLI installed globally via the official installer.
• Binary path: /Users/andrew/.local/bin/hf
• Reported version at install time: 1.8.0
• Installer added /Users/andrew/.local/bin to /Users/andrew/.zshrc
• git-lfs and git-xet are installed and initialized globally.
• .gitattributes now tracks:
  • docs/*.png
  • reasonbudget_gym/data/*.npy

Verified Commands

• Tests:
  • .venv/bin/python -m pytest reasonbudget_gym/tests/ -v
  • Result: 8 passed
• Eval:
  • .venv/bin/python -m reasonbudget_gym.eval.evaluate --n_episodes 50 --seed 42 --output eval_results.json
• Plot generation:
  • .venv/bin/python -c "from reasonbudget_gym.eval.plots import agent_comparison, budget_pacing; agent_comparison('eval_results.json', 'docs/agent_comparison.png'); budget_pacing('eval_results.json', 'docs/budget_pacing.png')"
• PPO smoke test:
  • .venv/bin/python -m reasonbudget_gym.training.ppo_train --n_episodes 100 --output_dir runs/smoke
  • Completed successfully and wrote checkpoints.
• Docker:
  • docker build -t reasoning-economic-env .
  • docker run -d -p 8000:8000 --name reasoning-economic-env-test reasoning-economic-env
  • curl http://127.0.0.1:8000/health
  • Result: {"status":"ok","env":"ReasonBudgetEnv","version":"0.1.0"}

Current Eval Numbers

From eval_results.json with --n_episodes 50 --seed 42:

Agent	Mean Accuracy	Mean Reward	Budget Used
uniform	0.780	7.620	100.0%
greedy_max	0.840	4.163	100.0%
oracle	0.728	6.933	98.3%
bandit	0.744	6.526	98.8%

Important Files

• reasonbudget_gym/env/episode_sampler.py
• reasonbudget_gym/env/config.py
• reasonbudget_gym/solver/cached_solver.py
• reasonbudget_gym/eval/evaluate.py
• reasonbudget_gym/server/app.py
• Dockerfile
• README.md
• .github/workflows/ci.yml
• eval_results.json
• docs/agent_comparison.png
• docs/budget_pacing.png

Git History Added On This Branch

• 29b6ad0 Add gitignore for local dev artifacts
• ecd0ab1 Use bundled questions for cached offline runs
• 9e122a2 Cache MiniLM question embeddings
• c4d6234 Add GitHub Actions test workflow
• fc6c606 Add baseline eval results and README plots
• 280a6de Slim Docker image for HF deployment
• fc4c73c Add living Codex context file
• efdc42b Track Space binaries with Xet

Notes For Next Codex

• Keep HANDOFF.md deleted; update this file instead.
• Do not remove reasonbudget_gym/data/response_cache.json or reasonbudget_gym/data/embeddings.npy; they are part of the current offline/demo story.
• The Docker image should stay lean; avoid reintroducing sentence-transformers, datasets, or training dependencies into the serving image unless truly needed.
• If enabling the live solver later, configure secrets in Hugging Face Space settings rather than hard-coding them.
• The local repo may also have an hf remote pointing at the Space repo; if so, pushes there will trigger Space rebuilds.