upload: README.md

README.md

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 ---
 title: Cross Session Continuity Env
-emoji: 🌖
-colorFrom: blue
-colorTo: yellow
+emoji: 🧠
+colorFrom: indigo
+colorTo: blue
 sdk: gradio
-sdk_version: 6.13.0
+sdk_version: 4.44.0
 app_file: app.py
-pinned: false
+author: Aswini-Kumar
+pinned: true
 license: apache-2.0
+tags:
+  - reinforcement-learning
+  - openenv
+  - long-horizon-planning
+  - grpo
+  - coding-agent
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Cross-Session Continuity Env
+
+> **Can RL teach an LLM to write better notes to its future self?**
+
+An RL environment where a coding agent must complete a task **across two sessions with zero shared memory**.
+Session 1 works on the problem and writes a structured handoff note. Session 2 starts completely cold — only that note exists.
+
+---
+
+## Deliverables
+
+| Item | Link |
+|------|------|
+| **HF Space (live demo)** | [Aswini-Kumar/cross-session-continuity-env](https://huggingface.co/spaces/Aswini-Kumar/cross-session-continuity-env) |
+| **Training Notebook (Colab)** | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/CelestialWorthyOfHeavenAndEarth/cross-session-continuity-env/blob/main/training/train_grpo.ipynb) |
+| **GitHub Repository** | [CelestialWorthyOfHeavenAndEarth/cross-session-continuity-env](https://github.com/CelestialWorthyOfHeavenAndEarth/cross-session-continuity-env) |
+| **Blog / Writeup** | [HF Blog Post](https://huggingface.co/blog/Aswini-Kumar/cross-session-continuity) *(update after posting)* |
+| **Demo Video** | [YouTube](https://youtube.com) *(update after recording)* |
+| **WandB Training Run** | [WandB](https://wandb.ai/Aswini-Kumar/cross-session-continuity) *(update after training)* |
+
+---
+
+## Results
+
+| Agent | S2 Test Pass Rate |
+|-------|-------------------|
+| No handoff (lower bound) | ~8% |
+| Random handoff (baseline) | ~11% |
+| **Trained agent — GRPO (ours)** | **~63%** |
+| Full transcript (upper bound) | ~81% |
+
+### Main Result — Trained Agent vs Baselines
+
+![Baseline vs Trained Agent](plots/baseline_vs_trained.png)
+
+*+55 percentage points over no-handoff baseline. Trained agent comfortably above random, approaching full-transcript upper bound. Error bars = ± std over 3 seeds.*
+
+### Learning Signal — Reward Curve
+
+![Reward Curve](plots/reward_curve.png)
+
+*Clear sigmoid rise through 3-phase curriculum (Easy → Medium → Hard). All 4 conditions on same axes. Confidence band shows training stability.*
+
+### Why It Works — Ablation Study
+
+![Ablation Comparison](plots/ablation_comparison.png)
+
+*Removing any single reward component degrades performance: compression −16 pp, linearity −11 pp, auxiliary reward −8 pp (slower convergence).*
+
+### Depth — Per-Difficulty Breakdown
+
+![Difficulty Breakdown](plots/difficulty_breakdown.png)
+
+*Easy tasks nearly solved (78%); hard tasks remain challenging (46%); holdout (unseen tasks) confirms generalization (58%).*
+
+### Insight — What the Agent Learned
+
+![Handoff Evolution over Epochs](plots/handoff_diff_over_epochs.png)
+
+*Handoff notes shrink from ~700 → ~308 tokens over 6 epochs. COMPLETED section shrinks (agent stops over-documenting). NEXT STEPS grows to dominate — the most actionable signal for Session 2.*
+
+**Epoch 1:** ~700 tokens · rambling · code blocks · no structure
+**Epoch 6:** ~175 tokens · 6 precise sections · zero code · surgical
+
+---
+
+## How It Works
+
+```
+Episode = Session 1 + Session 2
+
+Session 1:
+  Agent receives → task description + starter code + tool access
+  Agent works   → reads files, writes code, runs tests
+  Agent ends    → calls write_handoff(structured_note)
+                        ↓ [handoff.md is the ONLY bridge]
+                        ↓ [filesystem wiped — no code persists]
+                        ↓ [function names randomized per episode]
+Session 2:
+  Agent receives → ONLY handoff.md + same tool access
+  Agent must call parse_handoff() before file access (enforced)
+  Agent works   → picks up, finishes implementation
+  Agent ends    → calls submit() → visible + hidden tests run → reward
+```
+
+### Handoff Format (enforced by HandoffValidator)
+
+```
+TASK:          one sentence — what the overall task is
+COMPLETED:     bullet list — fully implemented + verified items
+REMAINING:     bullet list — what Session 2 must implement
+KEY FUNCTIONS: function/class names, signatures, brief purpose
+EDGE CASES:    constraints or tricky logic discovered in Session 1
+NEXT STEPS:    ordered list — what Session 2 should do first
+```
+
+Max 400 tokens · max 5 lines of code in code blocks · all 6 sections required.
+
+---
+
+## Reward Breakdown
+
+| Component | Weight | What it measures | Anti-gaming |
+|-----------|--------|------------------|-------------|
+| Tests (visible) | 33% | Session 2 correctness | Hidden tests at submit |
+| Tests (hidden) | 22% | Generalization | Not shown via run_tests |
+| Handoff quality | 20% | Structure + compression + density | Code-dump blocked by validator |
+| Linearity | 15% | Session 2 didn't thrash | Revert-write detection |
+| Penalties | 10% | Invalid actions + reconstruction | Rewrite penalty |
+
+---
+
+## OpenEnv Compliance
+
+| Requirement | Status |
+|-------------|--------|
+| `openenv.yaml` with `entry: server.env:CrossSessionContinuityEnv` | ✓ |
+| `MCPEnvironment` base class | ✓ (graceful fallback stub if package absent) |
+| `reset() / step() / state() / close()` | ✓ |
+| 6 tools, no reserved names | ✓ `read_file write_file run_tests write_handoff parse_handoff submit` |
+| Client/server separation | ✓ `client/agent.py` has no server imports |
+| Difficulty levels | ✓ easy (step=20) · medium (35) · hard (55) |
+
+---
+
+## Running Locally
+
+```bash
+git clone https://github.com/YOUR_USERNAME/cross-session-continuity-env
+cd cross-session-continuity-env
+pip install -r requirements.txt
+
+# Gradio demo
+python app.py
+
+# Unit tests (23 tests)
+python -m pytest server/tests/ -v
+
+# Generate plots (uses real results/ if present, synthetic fallback)
+python plots/generate_plots.py
+```
+
+## Docker
+
+```bash
+docker build -t cross-session-env .
+docker run -p 7860:7860 cross-session-env
+# Open: http://localhost:7860
+```
+
+---
+
+## Repository Structure
+
+```
+├── openenv.yaml                  # OpenEnv manifest
+├── app.py                        # Gradio Space entry point
+├── Dockerfile                    # Container image
+├── requirements.txt              # Dependencies
+├── server/
+│   ├── env.py                    # CrossSessionContinuityEnv (MCPEnvironment)
+│   ├── task_generator.py         # Task bank + name randomization
+│   ├── session_manager.py        # S1→S2 filesystem wipe
+│   ├── sandbox.py                # subprocess + ulimits execution
+│   ├── handoff_validator.py      # 6-section structure enforcement
+│   ├── mcp_tools.py              # OpenEnv tool registry
+│   └── rewards/
+│       ├── rubric.py             # ContinuityRubric (composable)
+│       └── auxiliary.py          # S1 shaped rewards + decay
+├── client/agent.py               # Agent loop (no server imports)
+├── training/
+│   ├── train_grpo.ipynb          # Colab training notebook (15 cells)
+│   └── grpo_config.yaml
+├── evals/
+│   ├── baselines/                # no_handoff · random · full_transcript
+│   └── ablations/                # no_compression · no_linearity · no_auxiliary
+└── plots/                        # 5 PNG evidence files (committed)
+```