Upload folder using huggingface_hub

Dockerfile

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+ARG BASE_IMAGE=ghcr.io/meta-pytorch/openenv-base:latest
+FROM ghcr.io/meta-pytorch/openenv-base:latest
+
+# Install system dependencies for Playwright and browsers
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    # Playwright browser dependencies
+    libnss3 \
+    libnspr4 \
+    libatk1.0-0 \
+    libatk-bridge2.0-0 \
+    libcups2 \
+    libdrm2 \
+    libdbus-1-3 \
+    libxkbcommon0 \
+    libatspi2.0-0 \
+    libxcomposite1 \
+    libxdamage1 \
+    libxfixes3 \
+    libxrandr2 \
+    libgbm1 \
+    libpango-1.0-0 \
+    libcairo2 \
+    libasound2 \
+    libxshmfence1 \
+    # Additional dependencies
+    git \
+    wget \
+    && rm -rf /var/lib/apt/lists/*
+
+# Install BrowserGym and related packages
+COPY src/envs/browsergym_env/server/requirements.txt /tmp/browsergym_requirements.txt
+RUN pip install --no-cache-dir -r /tmp/browsergym_requirements.txt && \
+    rm /tmp/browsergym_requirements.txt
+
+# Install Playwright browsers (Chromium by default)
+RUN playwright install chromium && \
+    playwright install-deps chromium
+
+# Copy OpenEnv core and browsergym_env code
+WORKDIR /app
+COPY src/core/ /app/src/core/
+COPY src/envs/browsergym_env/ /app/src/envs/browsergym_env/
+COPY src/envs/browsergym_env/README.md /app/README.md
+
+# Set environment variables
+ENV PYTHONPATH=/app/src
+ENV PYTHONUNBUFFERED=1
+ENV BROWSERGYM_BENCHMARK=miniwob
+ENV BROWSERGYM_TASK_NAME=""
+ENV BROWSERGYM_HEADLESS=true
+ENV BROWSERGYM_VIEWPORT_WIDTH=1280
+ENV BROWSERGYM_VIEWPORT_HEIGHT=720
+ENV BROWSERGYM_TIMEOUT=10000
+
+# For WebArena tasks, these should be set by the user when running the container:
+# ENV SHOPPING=
+# ENV SHOPPING_ADMIN=
+# ENV REDDIT=
+# ENV GITLAB=
+# ENV MAP=
+# ENV WIKIPEDIA=
+# ENV HOMEPAGE=
+
+EXPOSE 8000
+
+HEALTHCHECK --interval=30s --timeout=3s --start-period=10s --retries=3 \
+    CMD curl -f http://localhost:8000/health || exit 1
+
+ENV ENABLE_WEB_INTERFACE=true
+
+CMD ["uvicorn", "envs.browsergym_env.server.app:app", "--host", "0.0.0.0", "--port", "8000"]

README.md

@@ -1,10 +1,578 @@
 ---
-title: Browser Gym
-emoji: 📈
-colorFrom: indigo
-colorTo: green
+title: Browsergym_env Environment Server
+emoji: 🌻
+colorFrom: gray
+colorTo: purple
 sdk: docker
 pinned: false
+app_port: 8000
+base_path: /web
+tags:
+  - openenv
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Browsergym_env Environment Server
+
+FastAPI server for browsergym_env environment powered by Meta's OpenEnv.
+
+## About
+
+This Space provides a containerized environment for browsergym_env interactions.
+Built with FastAPI and OpenEnv framework.
+
+## Web Interface
+
+This deployment includes an interactive web interface for exploring the environment:
+- **HumanAgent Interface**: Interact with the environment using a web form
+- **State Observer**: Real-time view of environment state and action history
+- **Live Updates**: WebSocket-based real-time updates
+
+Access the web interface at: `/web`
+
+## API Documentation
+
+Visit `/docs` for interactive API documentation.
+
+## Health Check
+
+The environment provides a health check endpoint at `/health`.
+
+
+# BrowserGym Environment
+
+BrowserGym is a unified framework for web-based agent tasks that provides access to multiple benchmarks under a single Gymnasium-compatible API. This integration brings the complete training-to-evaluation pipeline for web agents into OpenEnv.
+
+## Why BrowserGym?
+
+BrowserGym provides a complete pipeline for developing web agents: train on simple tasks, then evaluate on realistic websites.
+
+**What are these benchmarks?**
+
+- **MiniWoB++ (Training)**: 100+ synthetic web tasks like "click this button", "fill out this form", "select from dropdown". Each task is a simple webpage with a clear objective. Fast resets, randomized variations, dense rewards. Perfect for learning basic web navigation skills. **No external setup needed** - tasks run in isolated browser sessions.
+
+- **WebArena (Evaluation)**: 812 tasks on real websites (e-commerce, forums, GitLab, Wikipedia). Tasks like "find the cheapest laptop and add to cart" or "create a merge request for bug #123". Multi-step, requires reasoning, sparse rewards. Tests if your agent can handle actual websites. **Requires running 7 backend services** (shopping site, GitLab instance, etc).
+
+- **VisualWebArena**: Similar to WebArena but requires visual understanding - agents need to interpret images, identify UI elements visually, handle multimodal content.
+
+- **WorkArena**: Enterprise software tasks (CRM, project management, business workflows). Tests automation on corporate-style applications.
+
+**The training → evaluation pipeline:**
+1. Train on MiniWoB (simple, controlled, fast iterations)
+2. Evaluate on WebArena (complex, realistic, measures real-world capability)
+
+**Key advantage**: You can start training immediately with MiniWoB. No need to set up infrastructure just to test if your code works.
+
+## Quick Start - Training (MiniWoB)
+
+### No Setup Required! 🎉
+
+```python
+from envs.browsergym_env import BrowserGymEnv, BrowserGymAction
+
+# Create environment for MiniWoB training task
+env = BrowserGymEnv.from_docker_image(
+    "ghcr.io/openenv/browsergym-env:latest",
+    environment={
+        "BROWSERGYM_BENCHMARK": "miniwob",
+        "BROWSERGYM_TASK_NAME": "click-test",  # or "click-button", "click-dialog", etc.
+    }
+)
+
+# Train your agent!
+for episode in range(1000):
+    result = env.reset()
+    print(f"Goal: {result.observation.goal}")
+
+    done = False
+    while not done:
+        # Your agent decides what to do
+        action_str = agent.get_action(result.observation.text)
+        action = BrowserGymAction(action_str=action_str)
+
+        result = env.step(action)
+        done = result.done
+
+        print(f"Reward: {result.reward}")
+
+env.close()
+```
+
+### Available Tasks by Benchmark
+
+#### MiniWoB++ Tasks (Training - 100+ tasks)
+
+MiniWoB tasks are organized by difficulty and type. Here are the main categories:
+
+**Click Tasks** (Basic interaction)
+| Task Name | Description | Difficulty |
+|-----------|-------------|------------|
+| `click-test` | Click a single button | ⭐ Easy |
+| `click-button` | Click button with specific text | ⭐ Easy |
+| `click-button-sequence` | Click buttons in order | ⭐⭐ Medium |
+| `click-checkboxes` | Select specific checkboxes | ⭐⭐ Medium |
+| `click-checkboxes-soft` | Select checkboxes (multiple valid) | ⭐⭐ Medium |
+| `click-checkboxes-large` | Many checkboxes to select from | ⭐⭐ Medium |
+| `click-checkboxes-transfer` | Transfer learning variation | ⭐⭐ Medium |
+| `click-dialog` | Click correct button in dialog | ⭐ Easy |
+| `click-dialog-2` | More complex dialog | ⭐⭐ Medium |
+| `click-link` | Click on a link | ⭐ Easy |
+| `click-option` | Select from dropdown | ⭐⭐ Medium |
+| `click-pie` | Click on pie chart slice | ⭐⭐ Medium |
+| `click-scroll-list` | Click item in scrollable list | ⭐⭐⭐ Hard |
+| `click-shades` | Click on specific color shade | ⭐⭐ Medium |
+| `click-shape` | Click on specific shape | ⭐⭐ Medium |
+| `click-tab` | Switch between tabs | ⭐⭐ Medium |
+| `click-tab-2` | More complex tab switching | ⭐⭐⭐ Hard |
+| `click-widget` | Click on UI widget | ⭐⭐ Medium |
+
+**Text Entry Tasks** (Typing and forms)
+| Task Name | Description | Difficulty |
+|-----------|-------------|------------|
+| `enter-text` | Type text into input field | ⭐ Easy |
+| `enter-text-dynamic` | Dynamic text entry | ⭐⭐ Medium |
+| `enter-text-2` | Multiple text fields | ⭐⭐ Medium |
+| `enter-password` | Fill password field | ⭐ Easy |
+| `enter-date` | Enter a date | ⭐⭐ Medium |
+| `enter-time` | Enter a time | ⭐⭐ Medium |
+| `login-user` | Complete login form | ⭐⭐ Medium |
+| `login-user-popup` | Login via popup | ⭐⭐⭐ Hard |
+
+**Navigation Tasks** (Multi-step interaction)
+| Task Name | Description | Difficulty |
+|-----------|-------------|------------|
+| `navigate-tree` | Navigate through tree structure | ⭐⭐⭐ Hard |
+| `search-engine` | Use search interface | ⭐⭐ Medium |
+| `use-autocomplete` | Interact with autocomplete | ⭐⭐⭐ Hard |
+| `book-flight` | Book a flight (complex form) | ⭐⭐⭐⭐ Very Hard |
+| `choose-date` | Pick date from calendar | ⭐⭐⭐ Hard |
+| `choose-date-easy` | Simplified date picker | ⭐⭐ Medium |
+| `choose-date-medium` | Medium difficulty date picker | ⭐⭐⭐ Hard |
+| `choose-list` | Select from long list | ⭐⭐ Medium |
+
+**Visual/Spatial Tasks** (Requires visual understanding)
+| Task Name | Description | Difficulty |
+|-----------|-------------|------------|
+| `count-sides` | Count sides of shape | ⭐⭐ Medium |
+| `count-shape` | Count specific shapes | ⭐⭐ Medium |
+| `find-word` | Find word in text | ⭐⭐ Medium |
+| `focus-text` | Focus on text element | ⭐ Easy |
+| `focus-text-2` | More complex focus task | ⭐⭐ Medium |
+| `grid-coordinate` | Click grid coordinate | ⭐⭐ Medium |
+| `guess-number` | Guess a number game | ⭐⭐⭐ Hard |
+| `identify-shape` | Identify shape type | ⭐⭐ Medium |
+| `read-table` | Extract info from table | ⭐⭐⭐ Hard |
+| `read-table-2` | More complex table reading | ⭐⭐⭐ Hard |
+
+**Email/Social Tasks** (Realistic scenarios)
+| Task Name | Description | Difficulty |
+|-----------|-------------|------------|
+| `email-inbox` | Manage email inbox | ⭐⭐⭐⭐ Very Hard |
+| `email-inbox-forward` | Forward emails | ⭐⭐⭐⭐ Very Hard |
+| `email-inbox-nl` | Natural language email task | ⭐⭐⭐⭐ Very Hard |
+| `email-inbox-star-reply` | Star and reply to emails | ⭐⭐⭐⭐ Very Hard |
+| `social-media` | Social media interaction | ⭐⭐⭐⭐ Very Hard |
+| `social-media-some` | Partial social media task | ⭐⭐⭐ Hard |
+
+**Total:** 100+ tasks across all categories
+
+**Usage:**
+```python
+# Easy task for quick testing
+env = BrowserGymEnv(environment={"BROWSERGYM_TASK_NAME": "click-test"})
+
+# Medium difficulty for training
+env = BrowserGymEnv(environment={"BROWSERGYM_TASK_NAME": "click-checkboxes"})
+
+# Hard task for evaluation
+env = BrowserGymEnv(environment={"BROWSERGYM_TASK_NAME": "email-inbox"})
+```
+
+#### WebArena Tasks (Evaluation - 812 tasks)
+
+WebArena tasks are organized by website and difficulty. Tasks are numbered 0-811.
+
+**By Website:**
+| Website | Task Count | Description | Example Tasks |
+|---------|------------|-------------|---------------|
+| Shopping | ~200 | E-commerce site | Search products, add to cart, checkout |
+| Shopping Admin | ~150 | Admin panel | Manage products, orders, customers |
+| Reddit | ~150 | Forum/social | Post, comment, search discussions |
+| GitLab | ~200 | Code repository | Create issues, merge requests, review code |
+| Wikipedia | ~100 | Knowledge base | Search, read, extract information |
+| Map | ~12 | Location service | Find places, get directions |
+
+**By Difficulty:**
+| Difficulty | Task Count | Steps Required | Example |
+|------------|------------|----------------|---------|
+| Easy | ~200 | 1-5 steps | "Find the price of product X" |
+| Medium | ~400 | 5-15 steps | "Add cheapest laptop to cart" |
+| Hard | ~212 | 15+ steps | "Create merge request for bug fix" |
+
+**Usage:**
+```python
+# Task 0 (usually easy)
+env = BrowserGymEnv(environment={
+    "BROWSERGYM_BENCHMARK": "webarena",
+    "BROWSERGYM_TASK_NAME": "0",
+    "SHOPPING": "http://your-server:7770",
+    # ... other URLs
+})
+
+# Task 156 (GitLab merge request)
+env = BrowserGymEnv(environment={
+    "BROWSERGYM_BENCHMARK": "webarena",
+    "BROWSERGYM_TASK_NAME": "156",
+    # ... URLs
+})
+```
+
+**Note:** WebArena tasks require the full backend infrastructure. See [WebArena setup guide](https://github.com/web-arena-x/webarena/tree/main/environment_docker).
+
+#### VisualWebArena Tasks (910 tasks)
+
+Similar to WebArena but requires visual understanding. Tasks involve:
+- Image-based reasoning
+- Visual element identification
+- Multimodal interaction (text + images)
+
+#### WorkArena Tasks
+
+Enterprise software automation tasks:
+- CRM operations
+- Project management
+- Business workflows
+
+**Full task lists:**
+- [MiniWoB++ tasks](https://github.com/Farama-Foundation/miniwob-plusplus/tree/master/miniwob/environment)
+- [WebArena tasks](https://github.com/web-arena-x/webarena/blob/main/config_files/)
+- [BrowserGym documentation](https://github.com/ServiceNow/BrowserGym)
+
+## Evaluation (WebArena)
+
+### Prerequisites
+
+WebArena requires setting up backend infrastructure. See the [WebArena documentation](https://github.com/web-arena-x/webarena/tree/main/environment_docker).
+
+### Usage
+
+```python
+from envs.browsergym_env import BrowserGymEnv, BrowserGymAction
+
+# Create environment for WebArena evaluation
+env = BrowserGymEnv.from_docker_image(
+    "ghcr.io/openenv/browsergym-env:latest",
+    environment={
+        "BROWSERGYM_BENCHMARK": "webarena",
+        "BROWSERGYM_TASK_NAME": "0",  # Task ID
+        # WebArena backend URLs (required)
+        "SHOPPING": "http://your-server:7770",
+        "SHOPPING_ADMIN": "http://your-server:7780/admin",
+        "REDDIT": "http://your-server:9999",
+        "GITLAB": "http://your-server:8023",
+        "MAP": "http://your-server:3000",
+        "WIKIPEDIA": "http://your-server:8888/wikipedia_en_all_maxi_2022-05/A/User:The_other_Kiwix_guy/Landing",
+        "HOMEPAGE": "http://your-server:4399",
+    }
+)
+
+# Evaluate your trained agent
+result = env.reset()
+while not result.done:
+    action_str = agent.get_action(result.observation)
+    action = BrowserGymAction(action_str=action_str)
+    result = env.step(action)
+
+print(f"Success: {result.reward}")
+env.close()
+```
+
+## Building the Docker Image
+
+### Prerequisites
+
+1. **Base Image**: Build the OpenEnv base image first:
+
+```bash
+# From the OpenEnv repository root
+docker build -t openenv-base:latest -f src/core/containers/images/Dockerfile .
+```
+
+### Build the BrowserGym Environment
+
+```bash
+# From the OpenEnv repository root
+docker build -t browsergym-env:latest -f src/envs/browsergym_env/server/Dockerfile .
+```
+
+### Run the Server
+
+#### For MiniWoB (Training):
+
+```bash
+docker run -p 8000:8000 \
+  -e BROWSERGYM_BENCHMARK="miniwob" \
+  -e BROWSERGYM_TASK_NAME="click-test" \
+  browsergym-env:latest
+```
+
+#### For WebArena (Evaluation):
+
+```bash
+docker run -p 8000:8000 \
+  -e BROWSERGYM_BENCHMARK="webarena" \
+  -e BROWSERGYM_TASK_NAME="0" \
+  -e SHOPPING="http://your-server:7770" \
+  -e SHOPPING_ADMIN="http://your-server:7780/admin" \
+  -e REDDIT="http://your-server:9999" \
+  -e GITLAB="http://your-server:8023" \
+  -e MAP="http://your-server:3000" \
+  -e WIKIPEDIA="http://your-server:8888/wikipedia_en_all_maxi_2022-05/A/User:The_other_Kiwix_guy/Landing" \
+  -e HOMEPAGE="http://your-server:4399" \
+  browsergym-env:latest
+```
+
+## Environment Details
+
+### Action
+
+Actions in BrowserGym are natural language strings that describe browser operations:
+
+```python
+from envs.browsergym_env import BrowserGymAction
+
+# Click actions
+action = BrowserGymAction(action_str="click('Submit button')")
+action = BrowserGymAction(action_str="click('element_id_123')")
+
+# Type actions
+action = BrowserGymAction(action_str="fill('username', '[email protected]')")
+action = BrowserGymAction(action_str="fill('password', 'secret123')")
+
+# Navigate actions
+action = BrowserGymAction(action_str="goto('https://example.com')")
+
+# Keyboard actions
+action = BrowserGymAction(action_str="press('Enter')")
+action = BrowserGymAction(action_str="press('Tab')")
+
+# Scroll actions
+action = BrowserGymAction(action_str="scroll('down')")
+```
+
+### Observation
+
+Observations contain multiple modalities:
+
+```python
+result = env.step(action)
+obs = result.observation
+
+# Text observations
+print(obs.text)          # Primary text representation (AXTree or DOM)
+print(obs.axtree_txt)    # Accessibility tree
+print(obs.pruned_html)   # Pruned HTML (interactive elements only)
+
+# Page metadata
+print(obs.url)           # Current URL
+print(obs.goal)          # Task goal/instruction
+
+# Visual (if enabled)
+if obs.screenshot is not None:
+    print(obs.screenshot.shape)  # [height, width, channels]
+
+# Error handling
+if obs.last_action_error:
+    print(f"Action failed: {obs.error}")
+
+# Episode status
+print(obs.done)          # True if episode ended
+print(obs.reward)        # Reward for the step
+
+# Access full BrowserGym data (includes timestamps, etc.)
+print(obs.metadata["browsergym_obs"])  # Full observation dict from BrowserGym
+print(obs.metadata["browsergym_info"]) # Full info dict (timestamps, page state, etc.)
+```
+
+#### Advanced: Accessing Raw BrowserGym Data
+
+For VisualWebArena or custom training, you may need additional data like timestamps or browser state. The full BrowserGym observation and info dicts are preserved in `metadata`:
+
+```python
+result = env.step(action)
+
+# Access timestamps (if available)
+info = result.observation.metadata["browsergym_info"]
+if "timestamp" in info:
+    print(f"Action timestamp: {info['timestamp']}")
+
+# Access additional observation fields
+obs_dict = result.observation.metadata["browsergym_obs"]
+if "dom_object" in obs_dict:
+    dom = obs_dict["dom_object"]
+    # Work with raw DOM object
+
+# Access page performance data
+if "performance" in info:
+    print(f"Page load time: {info['performance']}")
+```
+
+### State
+
+The environment state tracks progress:
+
+```python
+state = env.state()
+
+print(f"Benchmark: {state.benchmark}")     # 'miniwob', 'webarena', etc.
+print(f"Task: {state.task_name}")          # Task name/ID
+print(f"Episode: {state.episode_id}")      # Unique episode ID
+print(f"Steps: {state.step_count}")        # Number of steps taken
+print(f"Total Reward: {state.cum_reward}") # Cumulative reward
+print(f"Goal: {state.goal}")               # Task instruction
+print(f"URL: {state.current_url}")         # Current page URL
+```
+
+## Configuration
+
+Environment variables:
+
+### Common Settings
+- `BROWSERGYM_BENCHMARK`: Benchmark to use (`miniwob`, `webarena`, `visualwebarena`, `workarena`)
+- `BROWSERGYM_TASK_NAME`: Specific task name (optional, will use first available if not set)
+- `BROWSERGYM_HEADLESS`: Run browser in headless mode (default: `true`)
+- `BROWSERGYM_VIEWPORT_WIDTH`: Browser viewport width (default: `1280`)
+- `BROWSERGYM_VIEWPORT_HEIGHT`: Browser viewport height (default: `720`)
+- `BROWSERGYM_TIMEOUT`: Action timeout in milliseconds (default: `10000`)
+
+### WebArena-Specific (only needed for WebArena benchmark)
+- `SHOPPING`: Shopping website URL
+- `SHOPPING_ADMIN`: Shopping admin panel URL
+- `REDDIT`: Reddit-like forum URL
+- `GITLAB`: GitLab instance URL
+- `MAP`: Map service URL
+- `WIKIPEDIA`: Wikipedia instance URL
+- `HOMEPAGE`: Homepage URL
+
+## Supported Benchmarks
+
+### 1. MiniWoB++ (Training) ✅ Recommended for Training
+
+- **100+ tasks** ranging from simple (click buttons) to complex (form filling, navigation)
+- **Fast**: Instant resets, quick episodes
+- **Randomized**: Task variations for generalization
+- **No setup**: Works out-of-the-box
+- **Dense rewards**: Immediate feedback for learning
+
+**Use Case**: Train agents on fundamental web navigation skills
+
+### 2. WebArena (Evaluation) 📊 Benchmark
+
+- **812 realistic tasks** across 6 websites
+- **Complex**: Multi-step reasoning, real web interfaces
+- **Requires setup**: Need to run 7 backend services
+- **Sparse rewards**: Binary success/failure
+- **Evaluation-focused**: Test real-world performance
+
+**Use Case**: Evaluate agents on realistic web tasks
+
+### 3. VisualWebArena (Evaluation) 👁️ Visual Benchmark
+
+- **910 tasks** requiring visual understanding
+- **Multimodal**: Both text and visual observations
+- **Requires setup**: Similar to WebArena
+- **Challenging**: Requires visual reasoning
+
+**Use Case**: Test visual web navigation capabilities
+
+### 4. WorkArena (Evaluation) 💼 Enterprise Benchmark
+
+- **Enterprise tasks**: CRM, project management, etc.
+- **Realistic workflows**: Real enterprise software
+- **Requires setup**: Enterprise software instances
+
+**Use Case**: Evaluate on business automation tasks
+
+## Typical Training Pipeline
+
+```python
+from envs.browsergym_env import BrowserGymEnv, BrowserGymAction
+
+# Stage 1: Train on MiniWoB (simple tasks, fast)
+train_env = BrowserGymEnv.from_docker_image(
+    "browsergym-env:latest",
+    environment={
+        "BROWSERGYM_BENCHMARK": "miniwob",
+        "BROWSERGYM_TASK_NAME": "click-button",
+    }
+)
+
+# Train your agent (RL, imitation learning, etc.)
+agent.train(train_env, num_episodes=10000)
+train_env.close()
+
+# Stage 2: Evaluate on WebArena (complex tasks, realistic)
+eval_env = BrowserGymEnv.from_docker_image(
+    "browsergym-env:latest",
+    environment={
+        "BROWSERGYM_BENCHMARK": "webarena",
+        "BROWSERGYM_TASK_NAME": "0",
+        # ... WebArena URLs
+    }
+)
+
+# Test performance
+success_rate = agent.evaluate(eval_env, num_tasks=812)
+print(f"WebArena Success Rate: {success_rate:.2%}")
+eval_env.close()
+```
+
+## Development & Testing
+
+### Running Tests
+
+```bash
+# From the OpenEnv repository root
+pytest tests/envs/test_browsergym_env.py
+```
+
+### Local Development
+
+```bash
+# Install in development mode
+cd /path/to/OpenEnv
+pip install -e .
+
+# Install BrowserGym
+pip install browsergym browsergym-miniwob browsergym-webarena
+
+# Run the server locally
+cd src/envs/browsergym_env/server
+export BROWSERGYM_BENCHMARK=miniwob
+export BROWSERGYM_TASK_NAME=click-test
+python app.py
+```
+
+## Project Structure
+
+```
+browsergym_env/
+├── __init__.py              # Module exports
+├── models.py                # Action, Observation, State dataclasses
+├── client.py                # HTTPEnvClient implementation
+├── README.md                # This file
+└── server/
+    ├── __init__.py
+    ├── app.py               # FastAPI application
+    ├── browsergym_environment.py  # Environment implementation
+    ├── Dockerfile           # Container specification
+    └── requirements.txt     # Python dependencies
+```
+
+## References
+
+- [BrowserGym GitHub](https://github.com/ServiceNow/BrowserGym)
+- [MiniWoB++ Paper](https://arxiv.org/abs/1802.08802)
+- [WebArena Paper](https://arxiv.org/abs/2307.13854)
+- [WebArena Website](https://webarena.dev/)
+- [VisualWebArena Paper](https://jykoh.com/vwa)
+- [OpenEnv Documentation](https://github.com/openenv/openenv)

src/core/README.md

@@ -0,0 +1,180 @@
+# <img width="35" height="35" alt="image" src="https://github.com/user-attachments/assets/2700a971-e5d6-4036-b03f-2f89c9791609" /> OpenEnv: Agentic Execution Environments
+
+An e2e framework for creating, deploying and using isolated execution environments for agentic RL training, built using Gymnasium style simple APIs. OpenEnv provides a standard for interacting with agentic execution environments via simple Gymnasium style APIs - step(), reset(), state(). Users of agentic execution environments can interact with the environment during RL training loops using these simple APIs.
+
+In addition to making it easier for researchers and RL framework writers, we also provide tools for environment creators making it easier for them to create richer environments and make them available over familar protocols like HTTP and packaged using canonical technologies like docker. Environment creators can use the OpenEnv framework to create environments that are isolated, secure, and easy to deploy and use.
+
+
+## Overview
+`openenv-core` provides the foundational building blocks for creating and interacting with containerized environments over HTTP. It enables you to build agent environments that can be deployed as Docker containers and accessed via a simple HTTP API.
+
+> ⚠️ **Early Development Warning** OpenEnv is currently in an experimental
+> stage. You should expect bugs, incomplete features, and APIs that may change
+> in future versions. The project welcomes bugfixes, but to make sure things are
+> well coordinated you should discuss any significant change before starting the
+> work. It's recommended that you signal your intention to contribute in the
+> issue tracker, either by filing a new issue or by claiming an existing one.
+
+
+# OpenEnv Core
+
+Core components for OpenEnv - a framework for building HTTP-based agentic environments.
+
+## Features
+
+- **HTTPEnvClient**: Generic HTTP client for interacting with remote environments
+- **HTTPEnvServer**: FastAPI-based server wrapper for exposing environments over HTTP
+- **Container Providers**: Pluggable architecture for running containers (Docker, Kubernetes, etc.)
+- **Type System**: Strongly-typed Action/Observation/State interfaces
+- **Web Interface**: Optional web UI for interacting with environments
+
+## Installation
+
+```bash
+pip install openenv-core
+```
+
+For development:
+```bash
+pip install openenv-core[dev]
+```
+
+## Quick Start
+
+### Creating an Environment Client
+
+```python
+from openenv_core import HTTPEnvClient, StepResult
+from dataclasses import dataclass
+
+@dataclass
+class MyAction:
+    text: str
+
+@dataclass
+class MyObservation:
+    response: str
+
+class MyEnvClient(HTTPEnvClient[MyAction, MyObservation]):
+    def _step_payload(self, action: MyAction) -> dict:
+        return {"text": action.text}
+
+    def _parse_result(self, payload: dict) -> StepResult[MyObservation]:
+        obs_data = payload["observation"]
+        return StepResult(
+            observation=MyObservation(**obs_data),
+            reward=payload.get("reward"),
+            done=payload.get("done", False)
+        )
+
+    def _parse_state(self, payload: dict) -> Any:
+        return payload
+
+# Use with Docker
+env = MyEnvClient.from_docker_image("my-env:latest")
+result = env.reset()
+step_result = env.step(MyAction(text="hello"))
+env.close()
+```
+
+### Creating an Environment Server
+
+```python
+from openenv_core.env_server import Environment, HTTPEnvServer, create_app
+from dataclasses import dataclass
+
+@dataclass
+class MyAction:
+    text: str
+
+@dataclass
+class MyObservation:
+    response: str
+    reward: float = 0.0
+    done: bool = False
+
+class MyEnvironment(Environment):
+    def reset(self) -> MyObservation:
+        return MyObservation(response="Ready")
+
+    def step(self, action: MyAction) -> MyObservation:
+        return MyObservation(
+            response=f"Echo: {action.text}",
+            reward=1.0,
+            done=False
+        )
+
+# Create FastAPI app
+env = MyEnvironment()
+app = create_app(env, MyAction, MyObservation)
+
+# Run with: uvicorn module:app --host 0.0.0.0 --port 8000
+```
+
+## Container Providers
+
+OpenEnv Core supports multiple container providers:
+
+### Local Docker Provider
+
+```python
+from openenv_core.containers.runtime import LocalDockerProvider
+
+provider = LocalDockerProvider()
+base_url = provider.start_container("my-env:latest")
+provider.wait_for_ready(base_url)
+# Use environment...
+provider.stop_container()
+```
+
+### Kubernetes Provider (Coming Soon)
+
+```python
+from openenv_core.containers.runtime import KubernetesProvider
+
+provider = KubernetesProvider(namespace="envs")
+base_url = provider.start_container("my-env:latest")
+# Use environment...
+provider.stop_container()
+```
+
+
+## API Reference
+
+### HTTPEnvClient
+
+Base class for environment clients with these abstract methods:
+
+- `_step_payload(action)`: Convert action to JSON
+- `_parse_result(payload)`: Parse response to StepResult
+- `_parse_state(payload)`: Parse state response
+
+### HTTPEnvServer
+
+Server wrapper with these methods:
+
+- `register_routes(app)`: Register endpoints on FastAPI app
+- `_deserialize_action(data)`: Convert JSON to Action
+- `_serialize_observation(obs)`: Convert Observation to JSON
+
+### Environment Interface
+
+Base interface for environment implementations:
+
+- `reset()`: Reset environment and return initial observation
+- `step(action)`: Execute action and return observation
+- `state`: Property returning current environment state
+
+## License
+
+This project is licensed under the BSD-3-Clause License - see the LICENSE file for details.
+
+## Contributing
+
+Contributions are welcome! Please see the main OpenEnv repository for contribution guidelines.
+
+## Links
+
+- **Homepage**: https://github.com/facebookresearch/OpenEnv
+- **Documentation**: https://github.com/facebookresearch/OpenEnv/blob/main/README.md
+- **Bug Tracker**: https://github.com/facebookresearch/OpenEnv/issues

src/core/__init__.py

@@ -0,0 +1,19 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+"""Core components for agentic environments."""
+
+# Re-export main components from submodules for convenience
+from .env_server import *
+from .client_types import StepResult
+from .http_env_client import HTTPEnvClient
+
+# Note: MCP module doesn't export anything yet
+
+__all__ = [
+    "HTTPEnvClient",
+    "StepResult",
+]

src/core/client_types.py

@@ -0,0 +1,22 @@
+# Type definitions for EnvTorch
+from dataclasses import dataclass
+from typing import Any, Generic, Optional, TypeVar
+
+# Generic type for observations
+ObsT = TypeVar("ObsT")  # TypeVar for typehinting in IDEs
+
+
+@dataclass
+class StepResult(Generic[ObsT]):
+    """
+    Represents the result of one environment step.
+
+    Attributes:
+        observation: The environment's observation after the action.
+        reward: Scalar reward for this step (optional).
+        done: Whether the episode is finished.
+    """
+
+    observation: ObsT
+    reward: Optional[float] = None
+    done: bool = False

src/core/containers/__init__.py

@@ -0,0 +1,7 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+"""Container management for environment servers."""

src/core/containers/images/Dockerfile

@@ -0,0 +1,46 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+#
+# OpenEnv Base Image
+#
+# This is the standard base image for all OpenEnv environment servers.
+# It includes the minimal dependencies needed to run HTTP environment servers.
+#
+# Build: docker build -t openenv-base:latest -f src/core/containers/images/Dockerfile .
+# Tag:   docker tag openenv-base:latest openenv-base:0.1.0
+#
+
+FROM python:3.11-slim
+
+# Set metadata
+LABEL maintainer="OpenEnv Team"
+LABEL description="Base image for OpenEnv based environment servers"
+LABEL version="0.1.0"
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    curl \
+    && rm -rf /var/lib/apt/lists/*
+
+# Install Python dependencies that all environments need
+RUN pip install --no-cache-dir \
+    fastapi>=0.104.0 \
+    "uvicorn[standard]>=0.24.0" \
+    requests>=2.25.0 \
+    wsproto>=1.0.0
+
+# Set working directory
+WORKDIR /app
+
+# Default environment variables
+ENV PYTHONPATH=/app/src
+ENV PYTHONUNBUFFERED=1
+
+# Default expose port (can be overridden)
+EXPOSE 8000
+
+# Note: CMD should be specified in child Dockerfiles

src/core/containers/images/README.md

@@ -0,0 +1,92 @@
+# OpenEnv Base Image
+
+Standard base image for all OpenEnv environment servers.
+
+## What's Included
+
+| Layer | Size | Contents |
+|-------|------|----------|
+| python:3.11-slim | 200 MB  | Base Python runtime |
+| + Dependencies   | 100 MB  | FastAPI, uvicorn, requests |
+| **Total**        | **~300 MB** | Ready for environment servers |
+
+## Image Sizes
+
+```
+openenv-base:latest   300 MB  (python + fastapi + uvicorn)
+```
+echo-env:latest        500 MB  (python + fastapi + uvicorn + app)
+coding-env:latest      520 MB  (python + fastapi + uvicorn + app + tools)
+another-env:latest     510 MB  (python + fastapi + uvicorn + app)
+---
+Total: 1.5 GB (with lots of duplication)
+```
+
+### With Base Images (✅ Solution)
+```
+openenv-base:latest    300 MB  (python + fastapi + uvicorn)
+echo-env:latest         50 MB  (app only, uses base)
+coding-env:latest       70 MB  (app + tools, uses base)
+another-env:latest      45 MB  (app only, uses base)
+---
+Total: 465 MB (base shared, minimal duplication)
+```
+
+## Building the Base Image
+
+```bash
+# From project root
+docker build -t openenv-base:latest -f src/core/containers/images/Dockerfile .
+```
+
+## Usage in Environment Dockerfiles
+
+Each environment Dockerfile should start with:
+
+```dockerfile
+FROM openenv-base:latest
+
+# Copy only environment-specific files
+COPY src/core/ /app/src/core/
+COPY src/envs/my_env/ /app/src/envs/my_env/
+
+# Run the server
+CMD ["uvicorn", "envs.my_env.server.app:app", "--host", "0.0.0.0", "--port", "8000"]
+```
+
+## Base Image Contents
+
+- Python 3.11-slim
+- FastAPI >= 0.104.0
+- Uvicorn >= 0.24.0
+- Requests >= 2.25.0
+- curl (for health checks)
+
+## Example: Building Echo Environment
+
+```bash
+# Step 1: Build base image (do this once)
+docker build -t openenv-base:latest -f src/core/containers/images/Dockerfile .
+
+# Step 2: Build echo environment (uses base)
+docker build -t echo-env:latest -f src/envs/echo_env/server/Dockerfile .
+
+# Step 3: Run echo environment
+docker run -p 8000:8000 echo-env:latest
+```
+
+## Updating the Base
+
+When dependencies need updating:
+
+1. Update `src/core/containers/images/Dockerfile`
+2. Rebuild base image
+3. Rebuild all environment images (they'll use new base)
+
+```bash
+# Update base
+docker build -t openenv-base:latest -f src/core/containers/images/Dockerfile .
+
+# Rebuild environments (they automatically use new base)
+docker build -t echo-env:latest -f src/envs/echo_env/server/Dockerfile .
+```

src/core/containers/runtime/__init__.py

@@ -0,0 +1,15 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+"""Container runtime providers."""
+
+from .providers import ContainerProvider, KubernetesProvider, LocalDockerProvider
+
+__all__ = [
+    "ContainerProvider",
+    "LocalDockerProvider",
+    "KubernetesProvider",
+]

src/core/containers/runtime/providers.py

@@ -0,0 +1,293 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+"""
+Container provider abstractions for running environment servers.
+
+This module provides a pluggable architecture for different container providers
+(local Docker, Kubernetes, cloud providers, etc.) to be used with HTTPEnvClient.
+"""
+
+from __future__ import annotations
+
+from abc import ABC, abstractmethod
+from typing import Any, Dict, Optional
+
+
+class ContainerProvider(ABC):
+    """
+    Abstract base class for container providers.
+
+    Providers implement this interface to support different container platforms:
+    - LocalDockerProvider: Runs containers on local Docker daemon
+    - KubernetesProvider: Runs containers in Kubernetes cluster
+    - FargateProvider: Runs containers on AWS Fargate
+    - CloudRunProvider: Runs containers on Google Cloud Run
+
+    The provider manages a single container lifecycle and provides the base URL
+    for connecting to it.
+
+    Example:
+        >>> provider = LocalDockerProvider()
+        >>> base_url = provider.start_container("echo-env:latest")
+        >>> print(base_url)  # http://localhost:8000
+        >>> # Use the environment via base_url
+        >>> provider.stop_container()
+    """
+
+    @abstractmethod
+    def start_container(
+        self,
+        image: str,
+        port: Optional[int] = None,
+        env_vars: Optional[Dict[str, str]] = None,
+        **kwargs: Any,
+    ) -> str:
+        """
+        Start a container from the specified image.
+
+        Args:
+            image: Container image name (e.g., "echo-env:latest")
+            port: Port to expose (if None, provider chooses)
+            env_vars: Environment variables to pass to container
+            **kwargs: Provider-specific options
+
+        Returns:
+            Base URL to connect to the container (e.g., "http://localhost:8000")
+
+        Raises:
+            RuntimeError: If container fails to start
+        """
+        pass
+
+    @abstractmethod
+    def stop_container(self) -> None:
+        """
+        Stop and remove the running container.
+
+        This cleans up the container that was started by start_container().
+        """
+        pass
+
+    @abstractmethod
+    def wait_for_ready(self, base_url: str, timeout_s: float = 30.0) -> None:
+        """
+        Wait for the container to be ready to accept requests.
+
+        This typically polls the /health endpoint until it returns 200.
+
+        Args:
+            base_url: Base URL of the container
+            timeout_s: Maximum time to wait
+
+        Raises:
+            TimeoutError: If container doesn't become ready in time
+        """
+        pass
+
+
+class LocalDockerProvider(ContainerProvider):
+    """
+    Container provider for local Docker daemon.
+
+    This provider runs containers on the local machine using Docker.
+    Useful for development and testing.
+
+    Example:
+        >>> provider = LocalDockerProvider()
+        >>> base_url = provider.start_container("echo-env:latest")
+        >>> # Container running on http://localhost:<random-port>
+        >>> provider.stop_container()
+    """
+
+    def __init__(self):
+        """Initialize the local Docker provider."""
+        self._container_id: Optional[str] = None
+        self._container_name: Optional[str] = None
+
+        # Check if Docker is available
+        import subprocess
+
+        try:
+            subprocess.run(
+                ["docker", "version"],
+                check=True,
+                capture_output=True,
+                timeout=5,
+            )
+        except (subprocess.CalledProcessError, FileNotFoundError, subprocess.TimeoutExpired):
+            raise RuntimeError(
+                "Docker is not available. Please install Docker Desktop or Docker Engine."
+            )
+
+    def start_container(
+        self,
+        image: str,
+        port: Optional[int] = None,
+        env_vars: Optional[Dict[str, str]] = None,
+        **kwargs: Any,
+    ) -> str:
+        """
+        Start a Docker container locally.
+
+        Args:
+            image: Docker image name
+            port: Port to expose (if None, finds available port)
+            env_vars: Environment variables for the container
+            **kwargs: Additional Docker run options
+
+        Returns:
+            Base URL to connect to the container
+        """
+        import subprocess
+        import time
+
+        # Find available port if not specified
+        if port is None:
+            port = self._find_available_port()
+
+        # Generate container name
+        self._container_name = self._generate_container_name(image)
+
+        # Build docker run command
+        cmd = [
+            "docker", "run",
+            "-d",  # Detached
+            "--name", self._container_name,
+            "-p", f"{port}:8000",  # Map port
+        ]
+
+        # Add environment variables
+        if env_vars:
+            for key, value in env_vars.items():
+                cmd.extend(["-e", f"{key}={value}"])
+
+        # Add image
+        cmd.append(image)
+
+        # Run container
+        try:
+            result = subprocess.run(cmd, capture_output=True, text=True, check=True)
+            self._container_id = result.stdout.strip()
+        except subprocess.CalledProcessError as e:
+            error_msg = f"Failed to start Docker container.\nCommand: {' '.join(cmd)}\nExit code: {e.returncode}\nStderr: {e.stderr}\nStdout: {e.stdout}"
+            raise RuntimeError(error_msg) from e
+
+        # Wait a moment for container to start
+        time.sleep(1)
+
+        base_url = f"http://localhost:{port}"
+        return base_url
+
+    def stop_container(self) -> None:
+        """
+        Stop and remove the Docker container.
+        """
+        if self._container_id is None:
+            return
+
+        import subprocess
+
+        try:
+            # Stop container
+            subprocess.run(
+                ["docker", "stop", self._container_id],
+                capture_output=True,
+                check=True,
+                timeout=10,
+            )
+
+            # Remove container
+            subprocess.run(
+                ["docker", "rm", self._container_id],
+                capture_output=True,
+                check=True,
+                timeout=10,
+            )
+        except subprocess.CalledProcessError:
+            # Container might already be stopped/removed
+            pass
+        finally:
+            self._container_id = None
+            self._container_name = None
+
+    def wait_for_ready(self, base_url: str, timeout_s: float = 30.0) -> None:
+        """
+        Wait for container to be ready by polling /health endpoint.
+
+        Args:
+            base_url: Base URL of the container
+            timeout_s: Maximum time to wait
+
+        Raises:
+            TimeoutError: If container doesn't become ready
+        """
+        import time
+        import requests
+
+        start_time = time.time()
+        health_url = f"{base_url}/health"
+
+        while time.time() - start_time < timeout_s:
+            try:
+                response = requests.get(health_url, timeout=2.0)
+                if response.status_code == 200:
+                    return
+            except requests.RequestException:
+                pass
+
+            time.sleep(0.5)
+
+        raise TimeoutError(
+            f"Container at {base_url} did not become ready within {timeout_s}s"
+        )
+
+    def _find_available_port(self) -> int:
+        """
+        Find an available port on localhost.
+
+        Returns:
+            An available port number
+        """
+        import socket
+
+        with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
+            s.bind(("", 0))
+            s.listen(1)
+            port = s.getsockname()[1]
+        return port
+
+    def _generate_container_name(self, image: str) -> str:
+        """
+        Generate a unique container name based on image name and timestamp.
+
+        Args:
+            image: Docker image name
+
+        Returns:
+            A unique container name
+        """
+        import time
+
+        clean_image = image.split("/")[-1].split(":")[0]
+        timestamp = int(time.time() * 1000)
+        return f"{clean_image}-{timestamp}"
+
+
+class KubernetesProvider(ContainerProvider):
+    """
+    Container provider for Kubernetes clusters.
+
+    This provider creates pods in a Kubernetes cluster and exposes them
+    via services or port-forwarding.
+
+    Example:
+        >>> provider = KubernetesProvider(namespace="envtorch-dev")
+        >>> base_url = provider.start_container("echo-env:latest")
+        >>> # Pod running in k8s, accessible via service or port-forward
+        >>> provider.stop_container()
+    """
+    pass

src/core/containers/test_local_docker_provider.py

@@ -0,0 +1,258 @@
+#!/usr/bin/env python3
+"""
+End-to-end test for LocalDockerProvider.
+
+This script tests the complete flow:
+1. Start a container using LocalDockerProvider
+2. Wait for it to be ready
+3. Make HTTP requests to test the environment
+4. Clean up the container
+"""
+
+import sys
+from pathlib import Path
+
+# Add src to path
+sys.path.insert(0, str(Path(__file__).parent.parent.parent))
+
+import requests
+
+from core.containers.runtime import LocalDockerProvider
+
+# TODO: Remove this test or make it a functional test sicne this will be tested in e2e test for echo env
+def test_local_docker_provider():
+    """Test LocalDockerProvider end-to-end."""
+    print("=" * 60)
+    print("LocalDockerProvider End-to-End Test")
+    print("=" * 60)
+    print()
+
+    provider = None
+
+    try:
+        # Step 1: Create provider
+        print("Step 1: Creating LocalDockerProvider...")
+        provider = LocalDockerProvider()
+        print("✓ Provider created\n")
+
+        # Step 2: Start container
+        print("Step 2: Starting echo-env container...")
+        base_url = provider.start_container("echo-env:latest")
+        print(f"✓ Container started at: {base_url}")
+        if provider._container_id:
+            print(f"  Container ID: {provider._container_id[:12]}...")
+        if provider._container_name:
+            print(f"  Container name: {provider._container_name}\n")
+
+        # Step 3: Wait for ready
+        print("Step 3: Waiting for container to be ready...")
+        provider.wait_for_ready(base_url, timeout_s=30.0)
+        print("✓ Container is ready!\n")
+
+        # Step 4: Test health endpoint
+        print("Step 4: Testing /health endpoint...")
+        response = requests.get(f"{base_url}/health")
+        print(f"  Status: {response.status_code}")
+        print(f"  Response: {response.json()}")
+        assert response.status_code == 200
+        assert response.json()["status"] == "healthy"
+        print("✓ Health check passed\n")
+
+        # Step 5: Test reset endpoint
+        print("Step 5: Testing /reset endpoint...")
+        response = requests.post(
+            f"{base_url}/reset",
+            json={},
+            headers={"Content-Type": "application/json"},
+        )
+        print(f"  Status: {response.status_code}")
+        data = response.json()
+        print(f"  Message: {data['observation']['echoed_message']}")
+        print(f"  Reward: {data['reward']}")
+        print(f"  Done: {data['done']}")
+        assert response.status_code == 200
+        assert data["observation"]["echoed_message"] == "Echo environment ready!"
+        print("✓ Reset test passed\n")
+
+        # Step 6: Test step endpoint
+        print("Step 6: Testing /step endpoint...")
+        response = requests.post(
+            f"{base_url}/step",
+            json={"action": {"message": "Hello from LocalDockerProvider!"}},
+            headers={"Content-Type": "application/json"},
+        )
+        print(f"  Status: {response.status_code}")
+        data = response.json()
+        print(f"  Echoed: {data['observation']['echoed_message']}")
+        print(f"  Length: {data['observation']['message_length']}")
+        print(f"  Reward: {data['reward']}")
+        assert response.status_code == 200
+        assert data["observation"]["echoed_message"] == "Hello from LocalDockerProvider!"
+        assert data["observation"]["message_length"] == 31
+        print("✓ Step test passed\n")
+
+        # Step 7: Test state endpoint
+        print("Step 7: Testing /state endpoint...")
+        response = requests.get(f"{base_url}/state")
+        print(f"  Status: {response.status_code}")
+        data = response.json()
+        print(f"  Episode ID: {data['episode_id']}")
+        print(f"  Step count: {data['step_count']}")
+        assert response.status_code == 200
+        assert data["step_count"] == 1  # One step from above
+        print("✓ State test passed\n")
+
+        # Step 8: Multiple steps
+        print("Step 8: Testing multiple steps...")
+        for i in range(3):
+            response = requests.post(
+                f"{base_url}/step",
+                json={"action": {"message": f"Message {i+1}"}},
+                headers={"Content-Type": "application/json"},
+            )
+            assert response.status_code == 200
+            print(f"  Step {i+1}: ✓")
+
+        # Check state updated
+        response = requests.get(f"{base_url}/state")
+        data = response.json()
+        assert data["step_count"] == 4  # 1 + 3 more steps
+        print(f"  Final step count: {data['step_count']}")
+        print("✓ Multiple steps test passed\n")
+
+        print("=" * 60)
+        print("✓ All tests passed!")
+        print("=" * 60)
+        print()
+
+        return True
+
+    except Exception as e:
+        print(f"\n❌ Test failed: {e}")
+        import traceback
+        traceback.print_exc()
+        return False
+
+    finally:
+        # Step 9: Cleanup
+        if provider is not None:
+            print("\nStep 9: Cleaning up container...")
+            try:
+                provider.stop_container()
+                print("✓ Container stopped and removed\n")
+            except Exception as e:
+                print(f"⚠️  Cleanup warning: {e}\n")
+
+
+def test_provider_with_custom_port():
+    """Test provider with custom port."""
+    print("=" * 60)
+    print("LocalDockerProvider with Custom Port Test")
+    print("=" * 60)
+    print()
+
+    provider = None
+
+    try:
+        provider = LocalDockerProvider()
+
+        print("Starting container on custom port 8123...")
+        base_url = provider.start_container("echo-env:latest", port=8123)
+        print(f"✓ Started at: {base_url}")
+        assert ":8123" in base_url
+
+        print("Waiting for ready...")
+        provider.wait_for_ready(base_url)
+        print("✓ Ready!")
+
+        print("Testing health...")
+        response = requests.get(f"{base_url}/health")
+        assert response.status_code == 200
+        print("✓ Health check passed")
+
+        print("\n✓ Custom port test passed!\n")
+        return True
+
+    except Exception as e:
+        print(f"\n❌ Test failed: {e}")
+        return False
+
+    finally:
+        if provider is not None:
+            provider.stop_container()
+            print("✓ Cleaned up\n")
+
+
+def test_provider_with_env_vars():
+    """Test provider with environment variables."""
+    print("=" * 60)
+    print("LocalDockerProvider with Environment Variables Test")
+    print("=" * 60)
+    print()
+
+    provider = None
+
+    try:
+        provider = LocalDockerProvider()
+
+        print("Starting container with environment variables...")
+        base_url = provider.start_container(
+            "echo-env:latest",
+            env_vars={"DEBUG": "true", "LOG_LEVEL": "info"}
+        )
+        print(f"✓ Started at: {base_url}")
+
+        print("Waiting for ready...")
+        provider.wait_for_ready(base_url)
+        print("✓ Ready!")
+
+        print("Testing health...")
+        response = requests.get(f"{base_url}/health")
+        assert response.status_code == 200
+        print("✓ Health check passed")
+
+        print("\n✓ Environment variables test passed!\n")
+        return True
+
+    except Exception as e:
+        print(f"\n❌ Test failed: {e}")
+        return False
+
+    finally:
+        if provider is not None:
+            provider.stop_container()
+            print("✓ Cleaned up\n")
+
+
+if __name__ == "__main__":
+    print()
+    print("🐳 LocalDockerProvider Test Suite")
+    print()
+
+    results = []
+
+    # Run basic test
+    results.append(("Basic End-to-End", test_local_docker_provider()))
+
+    # Run custom port test
+    results.append(("Custom Port", test_provider_with_custom_port()))
+
+    # Run environment variables test
+    results.append(("Environment Variables", test_provider_with_env_vars()))
+
+    # Summary
+    print("=" * 60)
+    print("Test Summary")
+    print("=" * 60)
+    for name, passed in results:
+        status = "✓ PASSED" if passed else "✗ FAILED"
+        print(f"{name:25} {status}")
+    print("=" * 60)
+
+    all_passed = all(result for _, result in results)
+    if all_passed:
+        print("\n🎉 All tests passed!")
+        exit(0)
+    else:
+        print("\n❌ Some tests failed")
+        exit(1)

src/core/env_server/__init__.py

@@ -0,0 +1,35 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+"""Core environment interfaces and types."""
+
+from .base_transforms import CompositeTransform, NullTransform
+from .http_server import HTTPEnvServer, create_app, create_fastapi_app
+from .interfaces import Environment, Message, ModelTokenizer, Transform
+from .types import Action, Observation, State
+from .web_interface import create_web_interface_app, WebInterfaceManager
+
+__all__ = [
+    # Core interfaces
+    "Environment",
+    "Transform",
+    "Message",
+    "ModelTokenizer",
+    # Types
+    "Action",
+    "Observation",
+    "State",
+    # Base transforms
+    "CompositeTransform",
+    "NullTransform",
+    # HTTP Server
+    "HTTPEnvServer",
+    "create_app",
+    "create_fastapi_app",
+    # Web Interface
+    "create_web_interface_app",
+    "WebInterfaceManager",
+]

src/core/env_server/base_transforms.py

@@ -0,0 +1,29 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+"""Base transform implementations for composing environment-specific transforms."""
+
+from .interfaces import Transform
+from .types import Observation
+
+
+class CompositeTransform(Transform):
+    """Combines multiple transforms into a single transform."""
+
+    def __init__(self, transforms: list[Transform]):
+        self.transforms = transforms
+
+    def __call__(self, observation: Observation) -> Observation:
+        for transform in self.transforms:
+            observation = transform(observation)
+        return observation
+
+
+class NullTransform(Transform):
+    """Default transform that passes through unchanged."""
+
+    def __call__(self, observation: Observation) -> Observation:
+        return observation

src/core/env_server/http_server.py

@@ -0,0 +1,233 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+"""
+HTTP server wrapper for Environment instances.
+
+This module provides utilities to wrap any Environment subclass and expose it
+over HTTP endpoints that HTTPEnvClient can consume.
+"""
+
+from __future__ import annotations
+
+import os
+from dataclasses import asdict
+from typing import Any, Dict, Type
+
+from .interfaces import Environment
+from .types import Action, Observation
+from fastapi import Body, FastAPI
+
+class HTTPEnvServer:
+    """
+    HTTP server wrapper for Environment instances.
+
+    This class wraps an Environment and exposes its reset(), step(), and state
+    methods as HTTP endpoints compatible with HTTPEnvClient.
+
+    The server expects:
+    - Action deserialization: Converts JSON dict to Action subclass
+    - Observation serialization: Converts Observation subclass to JSON dict
+
+    Example:
+        >>> from core.env_server import HTTPEnvServer
+        >>> from envs.coding_env.server import CodeExecutionEnvironment
+        >>>
+        >>> env = CodeExecutionEnvironment()
+        >>> server = HTTPEnvServer(env)
+        >>>
+        >>> # Register routes with FastAPI
+        >>> from fastapi import FastAPI
+        >>> app = FastAPI()
+        >>> server.register_routes(app)
+    """
+
+    def __init__(
+        self,
+        env: Environment,
+        action_cls: Type[Action],
+        observation_cls: Type[Observation],
+    ):
+        """
+        Initialize HTTP server wrapper.
+
+        Args:
+            env: The Environment instance to wrap
+            action_cls: The Action subclass this environment expects
+            observation_cls: The Observation subclass this environment returns
+        """
+        self.env = env
+        self.action_cls = action_cls
+        self.observation_cls = observation_cls
+
+    def register_routes(self, app: Any) -> None:
+        """
+        Register HTTP routes on a FastAPI application.
+
+        Args:
+            app: FastAPI application instance
+        """
+
+        if not isinstance(app, FastAPI):
+            raise TypeError("app must be a FastAPI instance")
+
+        @app.post("/reset")
+        async def reset(request: Dict[str, Any] = Body(default={})) -> Dict[str, Any]:
+            """Reset endpoint - returns initial observation."""
+            # TODO: Handle seed, episode_id from request if provided
+            observation = self.env.reset()
+            return self._serialize_observation(observation)
+
+        @app.post("/step")
+        async def step(request: Dict[str, Any]) -> Dict[str, Any]:
+            """Step endpoint - executes action and returns observation."""
+            action_data = request.get("action", {})
+            # TODO: Handle timeout_s, request_id, episode_id from request if provided
+
+            # Deserialize action
+            action = self._deserialize_action(action_data)
+
+            # Execute step
+            observation = self.env.step(action)
+
+            # Return serialized observation
+            return self._serialize_observation(observation)
+
+        @app.get("/state")
+        async def get_state() -> Dict[str, Any]:
+            """State endpoint - returns current environment state."""
+            state = self.env.state
+            return asdict(state)
+
+        @app.get("/health")
+        async def health() -> Dict[str, str]:
+            """Health check endpoint."""
+            return {"status": "healthy"}
+
+
+    def _deserialize_action(self, action_data: Dict[str, Any]) -> Action:
+        """
+        Convert JSON dict to Action instance.
+
+        Args:
+            action_data: Dictionary containing action data
+
+        Returns:
+            Action instance
+
+        Note:
+            This is a simple implementation. Subclasses may need to override
+            for more complex deserialization logic.
+        """
+        # Remove metadata if present (it will be set via kw_only field)
+        metadata = action_data.pop("metadata", {})
+        action = self.action_cls(**action_data)
+        action.metadata = metadata
+        return action
+
+    def _serialize_observation(self, observation: Observation) -> Dict[str, Any]:
+        """
+        Convert Observation instance to JSON-compatible dict.
+
+        Args:
+            observation: Observation instance
+
+        Returns:
+            Dictionary compatible with HTTPEnvClient._parse_result()
+
+        The format matches what HTTPEnvClient expects:
+        {
+            "observation": {...},  # Observation fields
+            "reward": float | None,
+            "done": bool,
+        }
+        """
+        obs_dict = asdict(observation)
+
+        # Extract reward and done (these are part of StepResult on client side)
+        reward = obs_dict.pop("reward", None)
+        done = obs_dict.pop("done", False)
+        obs_dict.pop("metadata", None)  # Remove metadata from observation
+
+        # Return in HTTPEnvClient expected format
+        return {
+            "observation": obs_dict,
+            "reward": reward,
+            "done": done,
+        }
+
+def create_app(
+    env: Environment,
+    action_cls: Type[Action],
+    observation_cls: Type[Observation],
+    env_name: Optional[str] = None,
+) -> Any:
+    """
+    Create a FastAPI application with or without web interface.
+    
+    This function creates a FastAPI app with the web interface enabled by default,
+    including README integration for better user experience.
+    
+    Args:
+        env: The Environment instance to serve
+        action_cls: The Action subclass this environment expects
+        observation_cls: The Observation subclass this environment returns
+        env_name: Optional environment name for README loading
+        
+    Returns:
+        FastAPI application instance with or without web interface and README integration
+    """
+    # Check if web interface should be enabled
+    # This can be controlled via environment variable or build argument
+    enable_web = (
+        os.getenv("ENABLE_WEB_INTERFACE", "false").lower() in ("true", "1", "yes")
+    )
+
+    if enable_web:
+        # Import web interface only when needed
+        from .web_interface import create_web_interface_app
+        return create_web_interface_app(env, action_cls, observation_cls, env_name)
+    else:
+        # Use standard FastAPI app without web interface
+        return create_fastapi_app(env, action_cls, observation_cls)
+    
+
+def create_fastapi_app(
+    env: Environment,
+    action_cls: Type[Action],
+    observation_cls: Type[Observation],
+) -> Any:
+    """
+    Create a FastAPI application with routes for the given environment.
+
+    Args:
+        env: The Environment instance to serve
+        action_cls: The Action subclass this environment expects
+        observation_cls: The Observation subclass this environment returns
+
+    Returns:
+        FastAPI application instance with routes registered
+
+    Example:
+        >>> from envs.coding_env.server import CodeExecutionEnvironment
+        >>> from envs.coding_env.models import CodeAction, CodeObservation
+        >>>
+        >>> env = CodeExecutionEnvironment()
+        >>> app = create_fastapi_app(env, CodeAction, CodeObservation)
+        >>>
+        >>> # Run with: uvicorn module:app --host 0.0.0.0 --port 8000
+    """
+    try:
+        from fastapi import FastAPI
+    except ImportError:
+        raise ImportError(
+            "FastAPI is required. Install with: pip install fastapi uvicorn"
+        )
+
+    app = FastAPI(title="Environment HTTP Server")
+    server = HTTPEnvServer(env, action_cls, observation_cls)
+    server.register_routes(app)
+    return app

src/core/env_server/interfaces.py

@@ -0,0 +1,118 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+from abc import ABC, abstractmethod
+from typing import Any, Protocol, TypedDict
+
+from .types import Action, Observation, State
+
+
+class Message(TypedDict):
+    """A message in a conversation.
+
+    Compatible with Huggingface chat template format.
+    """
+
+    role: str
+    content: str
+
+
+class ModelTokenizer(Protocol):
+    """Protocol for tokenizers that support chat templates.
+
+    This protocol defines the interface that tokenizers must implement
+    to work with chat-based environments. It's compatible with
+    Huggingface transformers tokenizers.
+    """
+
+    def apply_chat_template(
+        self,
+        conversation: list[Message],
+        tokenize: bool = True,
+        return_tensors: str | None = None,
+        **kwargs: Any,
+    ) -> Any:
+        """Apply a chat template to format and optionally tokenize a conversation.
+
+        Args:
+            conversation: List of message dictionaries with 'role' and 'content'
+            tokenize: Whether to tokenize the output
+            return_tensors: Format for returned tensors ('pt' for PyTorch)
+            **kwargs: Additional arguments
+
+        Returns:
+            Formatted and optionally tokenized conversation
+        """
+        ...
+
+    def decode(
+        self, token_ids: Any, skip_special_tokens: bool = False, **kwargs: Any
+    ) -> str:
+        """Decode token IDs back to text.
+
+        Args:
+            token_ids: Token IDs to decode
+            skip_special_tokens: Whether to skip special tokens in output
+            **kwargs: Additional arguments
+
+        Returns:
+            Decoded text string
+        """
+        ...
+
+
+class Transform(ABC):
+    """Transform observations to add rewards, metrics, or other modifications.
+
+    Transforms follow the TorchRL pattern where they take an observation
+    and return a (potentially modified) observation. This allows for
+    flexible reward computation and observation augmentation.
+    """
+
+    @abstractmethod
+    def __call__(self, observation: Observation) -> Observation:
+        """Transform an observation.
+
+        Args:
+            observation: The input observation
+
+        Returns:
+            The transformed observation
+        """
+        pass
+
+
+class Environment(ABC):
+    """Base class for all environment servers following Gym/Gymnasium API.
+
+    Args:
+        transform: Optional transform to apply to observations
+    """
+
+    def __init__(self, transform: Transform | None = None):
+        self.transform = transform
+
+    @abstractmethod
+    def reset(self) -> Observation:
+        """Reset the environment and return initial observation."""
+        pass
+
+    @abstractmethod
+    def step(self, action: Action) -> Observation:
+        """Take a step in the environment."""
+        pass
+
+    @property
+    @abstractmethod
+    def state(self) -> State:
+        """Get the current environment state."""
+        pass
+
+    def _apply_transform(self, observation: Observation) -> Observation:
+        """Apply transform if one is provided."""
+        if self.transform is not None:
+            return self.transform(observation)
+        return observation

src/core/env_server/types.py

@@ -0,0 +1,57 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+from dataclasses import dataclass, field
+from typing import Any, Dict, List, Optional, Union
+
+
+# Type aliases
+Scalar = Union[int, float, bool]
+
+
+@dataclass(kw_only=True)
+class Action:
+    """Base class for all environment actions."""
+
+    metadata: Dict[str, Any] = field(default_factory=dict)
+
+
+@dataclass(kw_only=True)
+class Observation:
+    """Base class for all environment observations."""
+
+    done: bool = False
+    reward: Union[bool, int, float, None] = None
+    metadata: Dict[str, Any] = field(default_factory=dict)
+
+
+@dataclass
+class State:
+    """Base class for environment state."""
+
+    episode_id: Optional[str] = None
+    step_count: int = 0
+
+
+@dataclass
+class CodeExecResult:
+    """Result of code execution containing stdout, stderr, and exit code."""
+
+    stdout: str
+    stderr: str
+    exit_code: int
+
+
+@dataclass
+class EnvironmentMetadata:
+    """Metadata about an environment for documentation and UI purposes."""
+    
+    name: str
+    description: str
+    readme_content: Optional[str] = None
+    version: Optional[str] = None
+    author: Optional[str] = None
+    documentation_url: Optional[str] = None

src/core/env_server/web_interface.py

@@ -0,0 +1,1613 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+"""
+Web interface for OpenEnv environments.
+
+This module provides a web-based interface for interacting with OpenEnv environments,
+including a two-pane layout for HumanAgent interaction and state observation.
+"""
+
+from __future__ import annotations
+
+import json
+import time
+from dataclasses import asdict, dataclass
+from typing import Any, Dict, List, Optional, Type
+from datetime import datetime
+
+from fastapi import FastAPI, WebSocket, WebSocketDisconnect, Request
+from fastapi.responses import HTMLResponse, FileResponse
+from fastapi.staticfiles import StaticFiles
+from pydantic import BaseModel
+
+from .interfaces import Environment
+from .types import Action, Observation, State, EnvironmentMetadata
+
+
+def load_environment_metadata(env: Environment, env_name: Optional[str] = None) -> EnvironmentMetadata:
+    """
+    Load environment metadata including README content.
+    
+    Args:
+        env: The environment instance
+        env_name: Optional environment name for README file lookup
+        
+    Returns:
+        EnvironmentMetadata with loaded information
+    """
+    # Try to get metadata from environment if it has a method for it
+    if hasattr(env, 'get_metadata'):
+        return env.get_metadata()
+    
+    # Default metadata
+    metadata = EnvironmentMetadata(
+        name=env_name or env.__class__.__name__,
+        description=f"{env.__class__.__name__} environment",
+        version="1.0.0"
+    )
+    
+    # Try to load README from file system
+    readme_content = _load_readme_from_filesystem(env_name)
+    if readme_content:
+        metadata.readme_content = readme_content
+    
+    return metadata
+
+
+def _load_readme_from_filesystem(env_name: Optional[str]) -> Optional[str]:
+    """
+    Load README content from the filesystem.
+    
+    Tries multiple locations:
+    1. Container filesystem: /app/README.md
+    2. Local development: src/envs/{env_name}/README.md
+    3. Environment variable: ENV_README_PATH
+    """
+    import os
+    from pathlib import Path
+    
+    # Try container filesystem first
+    container_readme = Path("/app/README.md")
+    if container_readme.exists():
+        try:
+            return container_readme.read_text(encoding='utf-8')
+        except Exception:
+            pass
+    
+    # Try environment variable path
+    custom_path = os.environ.get("ENV_README_PATH")
+    if custom_path and Path(custom_path).exists():
+        try:
+            return Path(custom_path).read_text(encoding='utf-8')
+        except Exception:
+            pass
+    
+    # Try local development path
+    if env_name:
+        local_readme = Path(f"src/envs/{env_name}/README.md")
+        if local_readme.exists():
+            try:
+                return local_readme.read_text(encoding='utf-8')
+            except Exception:
+                pass
+    
+    return None
+
+
+@dataclass
+class ActionLog:
+    """Log entry for an action taken."""
+    timestamp: str
+    action: Dict[str, Any]
+    observation: Dict[str, Any]
+    reward: Optional[float]
+    done: bool
+    step_count: int
+
+
+@dataclass
+class EpisodeState:
+    """Current episode state for the web interface."""
+    episode_id: Optional[str]
+    step_count: int
+    current_observation: Optional[Dict[str, Any]]
+    action_logs: List[ActionLog]
+    is_reset: bool = True
+
+
+class WebInterfaceManager:
+    """Manages the web interface for an environment."""
+    
+    def __init__(
+        self,
+        env: Environment,
+        action_cls: Type[Action],
+        observation_cls: Type[Observation],
+        metadata: Optional[EnvironmentMetadata] = None,
+    ):
+        self.env = env
+        self.action_cls = action_cls
+        self.observation_cls = observation_cls
+        self.metadata = metadata or EnvironmentMetadata(
+            name=env.__class__.__name__,
+            description=f"{env.__class__.__name__} environment"
+        )
+        self.episode_state = EpisodeState(
+            episode_id=None,
+            step_count=0,
+            current_observation=None,
+            action_logs=[]
+        )
+        self.connected_clients: List[WebSocket] = []
+    
+    async def connect_websocket(self, websocket: WebSocket):
+        """Connect a new WebSocket client."""
+        await websocket.accept()
+        self.connected_clients.append(websocket)
+        
+        # Send current state to the new client
+        await self._send_state_update()
+    
+    async def disconnect_websocket(self, websocket: WebSocket):
+        """Disconnect a WebSocket client."""
+        if websocket in self.connected_clients:
+            self.connected_clients.remove(websocket)
+    
+    async def _send_state_update(self):
+        """Send current state to all connected clients."""
+        if not self.connected_clients:
+            return
+            
+        state_data = {
+            "type": "state_update",
+            "episode_state": asdict(self.episode_state)
+        }
+        
+        # Send to all connected clients
+        disconnected_clients = []
+        for client in self.connected_clients:
+            try:
+                await client.send_text(json.dumps(state_data))
+            except:
+                disconnected_clients.append(client)
+        
+        # Remove disconnected clients
+        for client in disconnected_clients:
+            self.connected_clients.remove(client)
+    
+    async def reset_environment(self) -> Dict[str, Any]:
+        """Reset the environment and update state."""
+        observation = self.env.reset()
+        state = self.env.state
+        
+        # Update episode state
+        self.episode_state.episode_id = state.episode_id
+        self.episode_state.step_count = 0
+        self.episode_state.current_observation = asdict(observation)
+        self.episode_state.action_logs = []
+        self.episode_state.is_reset = True
+        
+        # Send state update
+        await self._send_state_update()
+        
+        return {
+            "observation": asdict(observation),
+            "reward": observation.reward,
+            "done": observation.done,
+        }
+    
+    async def step_environment(self, action_data: Dict[str, Any]) -> Dict[str, Any]:
+        """Execute a step in the environment and update state."""
+        # Deserialize action
+        action = self._deserialize_action(action_data)
+        
+        # Execute step
+        observation = self.env.step(action)
+        state = self.env.state
+        
+        # Create action log
+        action_log = ActionLog(
+            timestamp=datetime.now().isoformat(),
+            action=asdict(action),
+            observation=asdict(observation),
+            reward=observation.reward,
+            done=observation.done,
+            step_count=state.step_count
+        )
+        
+        # Update episode state
+        self.episode_state.episode_id = state.episode_id
+        self.episode_state.step_count = state.step_count
+        self.episode_state.current_observation = asdict(observation)
+        self.episode_state.action_logs.append(action_log)
+        self.episode_state.is_reset = False
+        
+        # Send state update
+        await self._send_state_update()
+        
+        return {
+            "observation": asdict(observation),
+            "reward": observation.reward,
+            "done": observation.done,
+        }
+    
+    def get_state(self) -> Dict[str, Any]:
+        """Get current environment state."""
+        state = self.env.state
+        return asdict(state)
+    
+    def _deserialize_action(self, action_data: Dict[str, Any]) -> Action:
+        """Convert JSON dict to Action instance."""
+        metadata = action_data.pop("metadata", {})
+        
+        # Handle tensor fields that come from JSON as lists
+        processed_data = {}
+        for key, value in action_data.items():
+            if key == "tokens" and isinstance(value, (list, str)):
+                # Convert list or string to tensor
+                if isinstance(value, str):
+                    # If it's a string, try to parse it as a list of numbers
+                    try:
+                        import json
+                        value = json.loads(value)
+                    except:
+                        # If parsing fails, treat as empty list
+                        value = []
+                if isinstance(value, list):
+                    import torch
+                    processed_data[key] = torch.tensor(value, dtype=torch.long)
+                else:
+                    processed_data[key] = value
+            elif key == "action_id" and isinstance(value, str):
+                # Convert action_id from string to int
+                try:
+                    processed_data[key] = int(value)
+                except ValueError:
+                    # If conversion fails, keep original value
+                    processed_data[key] = value
+            else:
+                processed_data[key] = value
+        
+        action = self.action_cls(**processed_data)
+        action.metadata = metadata
+        return action
+
+
+def create_web_interface_app(
+    env: Environment,
+    action_cls: Type[Action],
+    observation_cls: Type[Observation],
+    env_name: Optional[str] = None,
+) -> FastAPI:
+    """
+    Create a FastAPI application with web interface for the given environment.
+    
+    Args:
+        env: The Environment instance to serve
+        action_cls: The Action subclass this environment expects
+        observation_cls: The Observation subclass this environment returns
+        env_name: Optional environment name for README loading
+        
+    Returns:
+        FastAPI application instance with web interface
+    """
+    from .http_server import create_fastapi_app
+    
+    # Create the base environment app
+    app = create_fastapi_app(env, action_cls, observation_cls)
+    
+    # Load environment metadata
+    metadata = load_environment_metadata(env, env_name)
+    
+    # Create web interface manager
+    web_manager = WebInterfaceManager(env, action_cls, observation_cls, metadata)
+    
+    # Add web interface routes
+    @app.get("/web", response_class=HTMLResponse)
+    async def web_interface():
+        """Serve the web interface."""
+        return get_web_interface_html(action_cls, web_manager.metadata)
+    
+    @app.get("/web/metadata")
+    async def web_metadata():
+        """Get environment metadata."""
+        return asdict(web_manager.metadata)
+    
+    @app.websocket("/ws")
+    async def websocket_endpoint(websocket: WebSocket):
+        """WebSocket endpoint for real-time updates."""
+        await web_manager.connect_websocket(websocket)
+        try:
+            while True:
+                # Keep connection alive
+                await websocket.receive_text()
+        except WebSocketDisconnect:
+            await web_manager.disconnect_websocket(websocket)
+    
+    @app.post("/web/reset")
+    async def web_reset():
+        """Reset endpoint for web interface."""
+        return await web_manager.reset_environment()
+    
+    @app.post("/web/step")
+    async def web_step(request: Dict[str, Any]):
+        """Step endpoint for web interface."""
+        # Check if this is a message-based request (chat environment)
+        if "message" in request:
+            message = request["message"]
+            # Convert message to action using the environment's message_to_action method
+            action = web_manager.env.message_to_action(message)
+            action_data = {"tokens": action.tokens.tolist()}
+        else:
+            action_data = request.get("action", {})
+        
+        return await web_manager.step_environment(action_data)
+    
+    @app.get("/web/state")
+    async def web_state():
+        """State endpoint for web interface."""
+        return web_manager.get_state()
+    
+    return app
+
+
+def get_web_interface_html(action_cls: Type[Action], metadata: Optional[EnvironmentMetadata] = None) -> str:
+    """Generate the HTML for the web interface."""
+    
+    # Check if this is a chat environment by looking for tokens field
+    is_chat_env = False
+    if hasattr(action_cls, '__dataclass_fields__'):
+        for field_name, field_info in action_cls.__dataclass_fields__.items():
+            if field_name == 'tokens' and hasattr(field_info.type, '__name__') and 'Tensor' in field_info.type.__name__:
+                is_chat_env = True
+                break
+    
+    # Get action fields for dynamic form generation with enhanced metadata
+    action_fields = _extract_action_fields(action_cls)
+    
+    return f"""
+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>OpenEnv Web Interface</title>
+    <style>
+        * {{
+            margin: 0;
+            padding: 0;
+            box-sizing: border-box;
+        }}
+        
+        body {{
+            font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
+            background-color: #f5f5f5;
+            height: 100vh;
+            overflow: hidden;
+        }}
+        
+        .container {{
+            display: flex;
+            height: 100vh;
+        }}
+        
+        .left-pane {{
+            width: 50%;
+            background: white;
+            border-right: 1px solid #e0e0e0;
+            display: flex;
+            flex-direction: column;
+        }}
+        
+        .right-pane {{
+            width: 50%;
+            background: #fafafa;
+            display: flex;
+            flex-direction: column;
+        }}
+        
+        .pane-header {{
+            padding: 20px;
+            border-bottom: 1px solid #e0e0e0;
+            background: #f8f9fa;
+            font-weight: 600;
+            font-size: 16px;
+        }}
+        
+        .pane-content {{
+            flex: 1;
+            padding: 20px;
+            overflow-y: auto;
+        }}
+        
+        .action-form {{
+            background: white;
+            border: 1px solid #e0e0e0;
+            border-radius: 8px;
+            padding: 20px;
+            margin-bottom: 20px;
+        }}
+        
+        .form-group {{
+            margin-bottom: 15px;
+        }}
+        
+        .form-group label {{
+            display: block;
+            margin-bottom: 5px;
+            font-weight: 500;
+            color: #333;
+        }}
+        
+        .form-group input, .form-group textarea {{
+            width: 100%;
+            padding: 8px 12px;
+            border: 1px solid #ddd;
+            border-radius: 4px;
+            font-size: 14px;
+        }}
+        
+        .form-group input:focus, .form-group textarea:focus {{
+            outline: none;
+            border-color: #007bff;
+            box-shadow: 0 0 0 2px rgba(0, 123, 255, 0.25);
+        }}
+        
+        .btn {{
+            background: #007bff;
+            color: white;
+            border: none;
+            padding: 10px 20px;
+            border-radius: 4px;
+            cursor: pointer;
+            font-size: 14px;
+            margin-right: 10px;
+            margin-bottom: 10px;
+        }}
+        
+        .btn:hover {{
+            background: #0056b3;
+        }}
+        
+        .btn:disabled {{
+            background: #6c757d;
+            cursor: not-allowed;
+        }}
+        
+        .btn-secondary {{
+            background: #6c757d;
+        }}
+        
+        .btn-secondary:hover {{
+            background: #545b62;
+        }}
+        
+        .state-display {{
+            background: white;
+            border: 1px solid #e0e0e0;
+            border-radius: 8px;
+            padding: 15px;
+            margin-bottom: 20px;
+        }}
+        
+        .state-item {{
+            margin-bottom: 8px;
+        }}
+        
+        .state-label {{
+            font-weight: 500;
+            color: #666;
+        }}
+        
+        .state-value {{
+            color: #333;
+            font-family: monospace;
+        }}
+        
+        .logs-container {{
+            background: white;
+            border: 1px solid #e0e0e0;
+            border-radius: 8px;
+            padding: 15px;
+            max-height: 400px;
+            overflow-y: auto;
+        }}
+        
+        .log-entry {{
+            border-bottom: 1px solid #f0f0f0;
+            padding: 10px 0;
+        }}
+        
+        .log-entry:last-child {{
+            border-bottom: none;
+        }}
+        
+        .log-timestamp {{
+            font-size: 12px;
+            color: #666;
+            margin-bottom: 5px;
+        }}
+        
+        .log-action {{
+            background: #e3f2fd;
+            padding: 8px;
+            border-radius: 4px;
+            margin-bottom: 5px;
+            font-family: monospace;
+            font-size: 12px;
+        }}
+        
+        .log-observation {{
+            background: #f3e5f5;
+            padding: 8px;
+            border-radius: 4px;
+            font-family: monospace;
+            font-size: 12px;
+        }}
+        
+        .log-reward {{
+            font-weight: 600;
+            color: #28a745;
+        }}
+        
+        .log-done {{
+            font-weight: 600;
+            color: #dc3545;
+        }}
+        
+        .status-indicator {{
+            display: inline-block;
+            width: 8px;
+            height: 8px;
+            border-radius: 50%;
+            margin-right: 8px;
+        }}
+        
+        .status-connected {{
+            background: #28a745;
+        }}
+        
+        .status-disconnected {{
+            background: #dc3545;
+        }}
+        
+        .json-display {{
+            background: #f8f9fa;
+            border: 1px solid #e9ecef;
+            border-radius: 4px;
+            padding: 10px;
+            font-family: monospace;
+            font-size: 12px;
+            white-space: pre-wrap;
+            max-height: 200px;
+            overflow-y: auto;
+        }}
+        
+        /* Chat Interface Styles */
+        .chat-interface {{
+            background: white;
+            border: 1px solid #e0e0e0;
+            border-radius: 8px;
+            padding: 20px;
+            margin-bottom: 20px;
+        }}
+        
+        .chat-messages {{
+            background: #f8f9fa;
+            border: 1px solid #e0e0e0;
+            border-radius: 8px;
+            padding: 15px;
+            margin-bottom: 15px;
+            max-height: 400px;
+            overflow-y: auto;
+        }}
+        
+        .chat-message {{
+            margin-bottom: 15px;
+            padding: 10px;
+            border-radius: 8px;
+        }}
+        
+        .chat-message:last-child {{
+            margin-bottom: 0;
+        }}
+        
+        .chat-message.user {{
+            background: #e3f2fd;
+            margin-left: 20px;
+        }}
+        
+        .chat-message.assistant {{
+            background: #f3e5f5;
+            margin-right: 20px;
+        }}
+        
+        .chat-message.system {{
+            background: #e8f5e8;
+            font-style: italic;
+        }}
+        
+        .message-role {{
+            font-weight: 600;
+            font-size: 12px;
+            color: #666;
+            margin-bottom: 5px;
+        }}
+        
+        .message-content {{
+            font-size: 14px;
+            line-height: 1.4;
+        }}
+        
+        .chat-input-container {{
+            border-top: 1px solid #e0e0e0;
+            padding-top: 15px;
+        }}
+        
+        .role-selector {{
+            margin-bottom: 10px;
+        }}
+        
+        .role-selector label {{
+            font-weight: 500;
+            margin-right: 10px;
+        }}
+        
+        .role-selector select {{
+            padding: 5px 10px;
+            border: 1px solid #ddd;
+            border-radius: 4px;
+        }}
+        
+        .message-input {{
+            display: flex;
+            gap: 10px;
+            align-items: flex-end;
+        }}
+        
+        .message-input textarea {{
+            flex: 1;
+            padding: 10px;
+            border: 1px solid #ddd;
+            border-radius: 4px;
+            resize: vertical;
+            font-family: inherit;
+        }}
+        
+        .message-input textarea:focus {{
+            outline: none;
+            border-color: #007bff;
+            box-shadow: 0 0 0 2px rgba(0, 123, 255, 0.25);
+        }}
+        
+        /* Instructions Section Styles */
+        .instructions-section {{
+            background: white;
+            border: 1px solid #e0e0e0;
+            border-radius: 8px;
+            padding: 20px;
+            margin-bottom: 20px;
+        }}
+        
+        .instructions-header {{
+            display: flex;
+            justify-content: space-between;
+            align-items: center;
+            margin-bottom: 15px;
+        }}
+        
+        .instructions-title {{
+            font-size: 18px;
+            font-weight: 600;
+            color: #333;
+            margin: 0;
+        }}
+        
+        .instructions-toggle {{
+            background: #f8f9fa;
+            border: 1px solid #dee2e6;
+            border-radius: 4px;
+            padding: 5px 10px;
+            cursor: pointer;
+            font-size: 12px;
+            color: #6c757d;
+        }}
+        
+        .instructions-toggle:hover {{
+            background: #e9ecef;
+        }}
+        
+        .instructions-content {{
+            display: none;
+            max-height: 400px;
+            overflow-y: auto;
+            border-top: 1px solid #e0e0e0;
+            padding-top: 15px;
+        }}
+        
+        .instructions-content.expanded {{
+            display: block;
+        }}
+        
+        .instructions-content h1,
+        .instructions-content h2,
+        .instructions-content h3 {{
+            color: #333;
+            margin-top: 20px;
+            margin-bottom: 10px;
+        }}
+        
+        .instructions-content h1 {{
+            font-size: 24px;
+            border-bottom: 2px solid #007bff;
+            padding-bottom: 10px;
+        }}
+        
+        .instructions-content h2 {{
+            font-size: 20px;
+        }}
+        
+        .instructions-content h3 {{
+            font-size: 16px;
+        }}
+        
+        .instructions-content p {{
+            margin-bottom: 10px;
+            line-height: 1.6;
+        }}
+        
+        .instructions-content code {{
+            background: #f8f9fa;
+            padding: 2px 4px;
+            border-radius: 3px;
+            font-family: monospace;
+            font-size: 14px;
+        }}
+        
+        .instructions-content pre {{
+            background: #f8f9fa;
+            border: 1px solid #e9ecef;
+            border-radius: 4px;
+            padding: 15px;
+            overflow-x: auto;
+            margin: 10px 0;
+        }}
+        
+        .instructions-content pre code {{
+            background: none;
+            padding: 0;
+        }}
+        
+        .instructions-content ul,
+        .instructions-content ol {{
+            margin: 10px 0;
+            padding-left: 20px;
+        }}
+        
+        .instructions-content li {{
+            margin-bottom: 5px;
+        }}
+        
+        .instructions-content table {{
+            border-collapse: collapse;
+            width: 100%;
+            margin: 15px 0;
+        }}
+        
+        .instructions-content th,
+        .instructions-content td {{
+            border: 1px solid #dee2e6;
+            padding: 8px 12px;
+            text-align: left;
+        }}
+        
+        .instructions-content th {{
+            background: #f8f9fa;
+            font-weight: 600;
+        }}
+        
+        /* Enhanced Form Styles */
+        .help-text {{
+            display: block;
+            margin-top: 5px;
+            font-size: 12px;
+            color: #6c757d;
+            font-style: italic;
+        }}
+        
+        .form-group label {{
+            font-weight: 500;
+            color: #333;
+            margin-bottom: 5px;
+        }}
+        
+        .form-group select {{
+            width: 100%;
+            padding: 8px 12px;
+            border: 1px solid #ddd;
+            border-radius: 4px;
+            font-size: 14px;
+            background-color: white;
+        }}
+        
+        .form-group select:focus {{
+            outline: none;
+            border-color: #007bff;
+            box-shadow: 0 0 0 2px rgba(0, 123, 255, 0.25);
+        }}
+        
+        .form-group textarea {{
+            width: 100%;
+            padding: 8px 12px;
+            border: 1px solid #ddd;
+            border-radius: 4px;
+            font-size: 14px;
+            font-family: inherit;
+            resize: vertical;
+        }}
+        
+        .form-group textarea:focus {{
+            outline: none;
+            border-color: #007bff;
+            box-shadow: 0 0 0 2px rgba(0, 123, 255, 0.25);
+        }}
+        
+        .form-group input[type="number"] {{
+            width: 100%;
+            padding: 8px 12px;
+            border: 1px solid #ddd;
+            border-radius: 4px;
+            font-size: 14px;
+        }}
+        
+        .form-group input[type="number"]:focus {{
+            outline: none;
+            border-color: #007bff;
+            box-shadow: 0 0 0 2px rgba(0, 123, 255, 0.25);
+        }}
+        
+        .form-group input[type="text"]:focus {{
+            outline: none;
+            border-color: #007bff;
+            box-shadow: 0 0 0 2px rgba(0, 123, 255, 0.25);
+        }}
+        
+        .required-indicator {{
+            color: #dc3545;
+            font-weight: bold;
+        }}
+        
+        .form-group .field-description {{
+            font-size: 11px;
+            color: #666;
+            margin-top: 2px;
+            font-style: italic;
+        }}
+    </style>
+</head>
+<body>
+    <div class="container">
+        <!-- Left Pane: HumanAgent Interface -->
+        <div class="left-pane">
+            <div class="pane-header">
+                <span class="status-indicator status-disconnected" id="connection-status"></span>
+                HumanAgent Interface
+            </div>
+            <div class="pane-content">
+                <!-- Instructions Section -->
+                {_generate_instructions_section(metadata)}
+                
+                <!-- Action Form or Chat Interface -->
+                {_generate_action_interface(action_fields, is_chat_env)}
+                
+                <!-- Control Buttons -->
+                <div style="margin-bottom: 20px;">
+                    <button class="btn btn-secondary" id="reset-btn">Reset Environment</button>
+                    <button class="btn btn-secondary" id="state-btn">Get State</button>
+                </div>
+                
+                <!-- Current State Display -->
+                <div class="state-display">
+                    <h3>Current State</h3>
+                    <div id="current-state">
+                        <div class="state-item">
+                            <span class="state-label">Status:</span>
+                            <span class="state-value" id="env-status">Not initialized</span>
+                        </div>
+                        <div class="state-item">
+                            <span class="state-label">Episode ID:</span>
+                            <span class="state-value" id="episode-id">-</span>
+                        </div>
+                        <div class="state-item">
+                            <span class="state-label">Step Count:</span>
+                            <span class="state-value" id="step-count">0</span>
+                        </div>
+                    </div>
+                </div>
+            </div>
+        </div>
+        
+        <!-- Right Pane: State Observer -->
+        <div class="right-pane">
+            <div class="pane-header">
+                State Observer
+            </div>
+            <div class="pane-content">
+                <!-- Current Observation -->
+                <div class="state-display">
+                    <h3>Current Observation</h3>
+                    <div id="current-observation" class="json-display">
+                        No observation yet
+                    </div>
+                </div>
+                
+                <!-- Action Logs -->
+                <div class="logs-container">
+                    <h3>Action History</h3>
+                    <div id="action-logs">
+                        No actions taken yet
+                    </div>
+                </div>
+            </div>
+        </div>
+    </div>
+
+    <script>
+        class OpenEnvWebInterface {{
+            constructor() {{
+                this.ws = null;
+                this.isConnected = false;
+                this.init();
+            }}
+            
+            init() {{
+                this.connectWebSocket();
+                this.setupEventListeners();
+            }}
+            
+            connectWebSocket() {{
+                const protocol = window.location.protocol === 'https:' ? 'wss:' : 'ws:';
+                const wsUrl = `${{protocol}}//${{window.location.host}}/ws`;
+                
+                this.ws = new WebSocket(wsUrl);
+                
+                this.ws.onopen = () => {{
+                    this.isConnected = true;
+                    this.updateConnectionStatus(true);
+                    console.log('WebSocket connected');
+                }};
+                
+                this.ws.onmessage = (event) => {{
+                    const data = JSON.parse(event.data);
+                    if (data.type === 'state_update') {{
+                        this.updateUI(data.episode_state);
+                    }}
+                }};
+                
+                this.ws.onclose = () => {{
+                    this.isConnected = false;
+                    this.updateConnectionStatus(false);
+                    console.log('WebSocket disconnected');
+                    // Attempt to reconnect after 3 seconds
+                    setTimeout(() => this.connectWebSocket(), 3000);
+                }};
+                
+                this.ws.onerror = (error) => {{
+                    console.error('WebSocket error:', error);
+                }};
+            }}
+            
+            setupEventListeners() {{
+                // Instructions toggle
+                const instructionsToggle = document.getElementById('instructions-toggle');
+                const instructionsContent = document.getElementById('instructions-content');
+                if (instructionsToggle && instructionsContent) {{
+                    instructionsToggle.addEventListener('click', () => {{
+                        instructionsContent.classList.toggle('expanded');
+                        instructionsToggle.textContent = instructionsContent.classList.contains('expanded') 
+                            ? 'Hide Instructions' : 'Show Instructions';
+                    }});
+                }}
+                
+                // Check if this is a chat environment
+                const isChatEnv = document.getElementById('chat-messages') !== null;
+                
+                if (isChatEnv) {{
+                    // Chat environment event listeners
+                    document.getElementById('send-message-btn').addEventListener('click', () => {{
+                        this.sendMessage();
+                    }});
+                    
+                    // Send message on Enter (but allow Shift+Enter for new lines)
+                    document.getElementById('message-input').addEventListener('keydown', (e) => {{
+                        if (e.key === 'Enter' && !e.shiftKey) {{
+                            e.preventDefault();
+                            this.sendMessage();
+                        }}
+                    }});
+                }} else {{
+                    // Traditional action form submission
+                    const actionForm = document.getElementById('action-form');
+                    if (actionForm) {{
+                        actionForm.addEventListener('submit', (e) => {{
+                            e.preventDefault();
+                            this.submitAction();
+                        }});
+                    }}
+                }}
+                
+                // Reset button
+                document.getElementById('reset-btn').addEventListener('click', () => {{
+                    this.resetEnvironment();
+                }});
+                
+                // State button
+                document.getElementById('state-btn').addEventListener('click', () => {{
+                    this.getState();
+                }});
+            }}
+            
+            async sendMessage() {{
+                const messageInput = document.getElementById('message-input');
+                const roleSelect = document.getElementById('message-role');
+                const message = messageInput.value.trim();
+                const role = roleSelect.value;
+                
+                if (!message) {{
+                    return;
+                }}
+                
+                // Add message to chat display immediately
+                this.addMessageToChat(role, message);
+                
+                // Clear input
+                messageInput.value = '';
+                
+                try {{
+                    // Send message to server to convert to action and step
+                    const response = await fetch('/web/step', {{
+                        method: 'POST',
+                        headers: {{ 'Content-Type': 'application/json' }},
+                        body: JSON.stringify({{ 
+                            message: {{
+                                role: role,
+                                content: message
+                            }}
+                        }})
+                    }});
+                    
+                    if (!response.ok) {{
+                        throw new Error(`HTTP error! status: ${{response.status}}`);
+                    }}
+                    
+                    const result = await response.json();
+                    console.log('Message sent:', result);
+                }} catch (error) {{
+                    console.error('Error sending message:', error);
+                    alert('Error sending message: ' + error.message);
+                }}
+            }}
+            
+            addMessageToChat(role, content) {{
+                const chatMessages = document.getElementById('chat-messages');
+                const messageDiv = document.createElement('div');
+                messageDiv.className = `chat-message ${{role}}`;
+                
+                messageDiv.innerHTML = `
+                    <div class="message-role">${{role.charAt(0).toUpperCase() + role.slice(1)}}</div>
+                    <div class="message-content">${{content}}</div>
+                `;
+                
+                chatMessages.appendChild(messageDiv);
+                chatMessages.scrollTop = chatMessages.scrollHeight;
+            }}
+            
+            async submitAction() {{
+                const formData = new FormData(document.getElementById('action-form'));
+                const action = {{}};
+                
+                // Collect form data
+                for (const [key, value] of formData.entries()) {{
+                    if (value !== '') {{
+                        // Handle tensor fields (tokens) - convert comma-separated string to array
+                        if (key === 'tokens') {{
+                            try {{
+                                action[key] = value.split(',').map(x => parseInt(x.trim())).filter(x => !isNaN(x));
+                            }} catch (e) {{
+                                console.error('Error parsing tokens:', e);
+                                action[key] = [];
+                            }}
+                        }} else {{
+                            action[key] = value;
+                        }}
+                    }}
+                }}
+                
+                try {{
+                    const response = await fetch('/web/step', {{
+                        method: 'POST',
+                        headers: {{ 'Content-Type': 'application/json' }},
+                        body: JSON.stringify({{ action }})
+                    }});
+                    
+                    if (!response.ok) {{
+                        throw new Error(`HTTP error! status: ${{response.status}}`);
+                    }}
+                    
+                    const result = await response.json();
+                    console.log('Step result:', result);
+                }} catch (error) {{
+                    console.error('Error submitting action:', error);
+                    alert('Error submitting action: ' + error.message);
+                }}
+            }}
+            
+            async resetEnvironment() {{
+                try {{
+                    const response = await fetch('/web/reset', {{
+                        method: 'POST',
+                        headers: {{ 'Content-Type': 'application/json' }}
+                    }});
+                    
+                    if (!response.ok) {{
+                        throw new Error(`HTTP error! status: ${{response.status}}`);
+                    }}
+                    
+                    const result = await response.json();
+                    console.log('Reset result:', result);
+                }} catch (error) {{
+                    console.error('Error resetting environment:', error);
+                    alert('Error resetting environment: ' + error.message);
+                }}
+            }}
+            
+            async getState() {{
+                try {{
+                    const response = await fetch('/web/state');
+                    const state = await response.json();
+                    console.log('Current state:', state);
+                    alert('Current state: ' + JSON.stringify(state, null, 2));
+                }} catch (error) {{
+                    console.error('Error getting state:', error);
+                    alert('Error getting state: ' + error.message);
+                }}
+            }}
+            
+            updateConnectionStatus(connected) {{
+                const indicator = document.getElementById('connection-status');
+                if (connected) {{
+                    indicator.className = 'status-indicator status-connected';
+                }} else {{
+                    indicator.className = 'status-indicator status-disconnected';
+                }}
+            }}
+            
+            updateUI(episodeState) {{
+                // Check if this is a chat environment
+                const isChatEnv = document.getElementById('chat-messages') !== null;
+                
+                // Update current state
+                document.getElementById('env-status').textContent = 
+                    episodeState.is_reset ? 'Reset' : 'Running';
+                document.getElementById('episode-id').textContent = 
+                    episodeState.episode_id || '-';
+                document.getElementById('step-count').textContent = 
+                    episodeState.step_count.toString();
+                
+                if (isChatEnv) {{
+                    // Update chat interface
+                    this.updateChatInterface(episodeState);
+                }} else {{
+                    // Update traditional observation display
+                    const observationDiv = document.getElementById('current-observation');
+                    if (episodeState.current_observation) {{
+                        observationDiv.textContent = JSON.stringify(
+                            episodeState.current_observation, null, 2
+                        );
+                    }} else {{
+                        observationDiv.textContent = 'No observation yet';
+                    }}
+                }}
+                
+                // Update action logs
+                const logsDiv = document.getElementById('action-logs');
+                if (episodeState.action_logs.length === 0) {{
+                    logsDiv.innerHTML = 'No actions taken yet';
+                }} else {{
+                    logsDiv.innerHTML = episodeState.action_logs.map(log => `
+                        <div class="log-entry">
+                            <div class="log-timestamp">${{log.timestamp}} (Step ${{log.step_count}})</div>
+                            <div class="log-action">Action: ${{JSON.stringify(log.action, null, 2)}}</div>
+                            <div class="log-observation">Observation: ${{JSON.stringify(log.observation, null, 2)}}</div>
+                            <div>
+                                <span class="log-reward">Reward: ${{log.reward !== null ? log.reward : 'None'}}</span>
+                                ${{log.done ? '<span class="log-done">DONE</span>' : ''}}
+                            </div>
+                        </div>
+                    `).join('');
+                }}
+            }}
+            
+            updateChatInterface(episodeState) {{
+                const chatMessages = document.getElementById('chat-messages');
+                if (!chatMessages) return;
+                
+                // Clear existing messages (except system message)
+                const systemMessage = chatMessages.querySelector('.chat-message.system');
+                chatMessages.innerHTML = '';
+                if (systemMessage) {{
+                    chatMessages.appendChild(systemMessage);
+                }}
+                
+                // Add messages from current observation
+                if (episodeState.current_observation && episodeState.current_observation.messages) {{
+                    episodeState.current_observation.messages.forEach(msg => {{
+                        this.addMessageToChat(msg.role, msg.content);
+                    }});
+                }}
+            }}
+        }}
+        
+        // Initialize the web interface when the page loads
+        document.addEventListener('DOMContentLoaded', () => {{
+            new OpenEnvWebInterface();
+        }});
+    </script>
+</body>
+</html>
+    """.replace('{_generate_action_form_fields(action_fields)}', _generate_action_form_fields(action_fields))
+
+
+def _generate_instructions_section(metadata: Optional[EnvironmentMetadata]) -> str:
+    """Generate the instructions section with environment documentation."""
+    if not metadata or not metadata.readme_content:
+        return ''
+    
+    # Convert markdown to HTML (basic conversion)
+    import re
+    html_content = _markdown_to_html(metadata.readme_content)
+    
+    return f'''
+                <!-- Instructions Section -->
+                <div class="instructions-section">
+                    <div class="instructions-header">
+                        <h3 class="instructions-title">{metadata.name}</h3>
+                        <button class="instructions-toggle" id="instructions-toggle">Show Instructions</button>
+                    </div>
+                    <div class="instructions-content" id="instructions-content">
+                        <div class="instructions-readme">
+                            {html_content}
+                        </div>
+                    </div>
+                </div>
+    '''
+
+
+def _extract_action_fields(action_cls: Type[Action]) -> List[Dict[str, Any]]:
+    """Extract enhanced field metadata from Action class for form generation."""
+    import typing
+    from typing import get_origin, get_args
+    
+    action_fields = []
+    if not hasattr(action_cls, '__dataclass_fields__'):
+        return action_fields
+    
+    for field_name, field_info in action_cls.__dataclass_fields__.items():
+        if field_name == 'metadata':
+            continue
+            
+        field_type = field_info.type
+        field_metadata = _extract_field_metadata(field_name, field_info)
+        
+        # Determine input type based on field type
+        input_type = _determine_input_type(field_type)
+        
+        # Check if field is required
+        is_required = field_info.default is field_info.default_factory
+        
+        action_fields.append({
+            'name': field_name,
+            'type': input_type,
+            'required': is_required,
+            'description': field_metadata.get('description', ''),
+            'default_value': field_metadata.get('default_value'),
+            'choices': field_metadata.get('choices', []),
+            'min_value': field_metadata.get('min_value'),
+            'max_value': field_metadata.get('max_value'),
+            'placeholder': field_metadata.get('placeholder', ''),
+            'help_text': field_metadata.get('help_text', ''),
+        })
+    
+    return action_fields
+
+
+def _extract_field_metadata(field_name: str, field_info) -> Dict[str, Any]:
+    """Extract metadata from dataclass field including docstring and type hints."""
+    import typing
+    from typing import get_origin, get_args, Literal, Union, Optional
+    
+    metadata = {}
+    
+    # Extract description from field docstring or annotation
+    if hasattr(field_info, 'metadata') and field_info.metadata:
+        # Check for custom metadata
+        for meta in field_info.metadata:
+            if isinstance(meta, dict):
+                metadata.update(meta)
+    
+    # Extract type information
+    field_type = field_info.type
+    origin = get_origin(field_type)
+    
+    # Handle Literal types for dropdown choices
+    if origin is Literal:
+        args = get_args(field_type)
+        metadata['choices'] = list(args)
+    
+    # Handle Optional types
+    if origin is Union:
+        args = get_args(field_type)
+        if len(args) == 2 and type(None) in args:
+            # This is Optional[SomeType]
+            non_none_type = args[0] if args[1] is type(None) else args[1]
+            metadata['optional'] = True
+            # Recursively check the non-None type for choices
+            if get_origin(non_none_type) is Literal:
+                metadata['choices'] = list(get_args(non_none_type))
+        else:
+            # Regular Union type
+            metadata['choices'] = [str(arg) for arg in args if arg is not type(None)]
+    
+    # Handle numeric constraints
+    if field_type in (int, float):
+        # Check for common constraint patterns in field name
+        if 'count' in field_name.lower() or 'num' in field_name.lower():
+            metadata['min_value'] = 0
+        if 'id' in field_name.lower():
+            metadata['min_value'] = 0
+    
+    # Generate placeholder text
+    if 'message' in field_name.lower():
+        metadata['placeholder'] = f'Enter {field_name.replace("_", " ")}...'
+    elif 'code' in field_name.lower():
+        metadata['placeholder'] = 'Enter Python code here...'
+    elif 'tokens' in field_name.lower():
+        metadata['placeholder'] = 'Enter comma-separated token IDs (e.g., 1,2,3,4,5)'
+    else:
+        metadata['placeholder'] = f'Enter {field_name.replace("_", " ")}...'
+    
+    # Generate help text based on field name and type
+    if 'action_id' in field_name.lower():
+        metadata['help_text'] = 'The action ID to execute in the environment'
+    elif 'game_name' in field_name.lower():
+        metadata['help_text'] = 'Name of the game or environment'
+    elif 'tokens' in field_name.lower():
+        metadata['help_text'] = 'Token IDs as a comma-separated list of integers'
+    elif 'code' in field_name.lower():
+        metadata['help_text'] = 'Python code to execute in the environment'
+    elif 'message' in field_name.lower():
+        metadata['help_text'] = 'Text message to send'
+    
+    return metadata
+
+
+def _determine_input_type(field_type) -> str:
+    """Determine the appropriate HTML input type for a field type."""
+    import typing
+    from typing import get_origin, get_args, Literal, Union
+    
+    # Handle direct types
+    if field_type == str:
+        return "text"
+    elif field_type == int:
+        return "number"
+    elif field_type == float:
+        return "number"
+    elif field_type == bool:
+        return "checkbox"
+    
+    # Handle complex types
+    origin = get_origin(field_type)
+    
+    if origin is Literal:
+        return "select"
+    elif origin is Union:
+        args = get_args(field_type)
+        if len(args) == 2 and type(None) in args:
+            # Optional type - use the non-None type
+            non_none_type = args[0] if args[1] is type(None) else args[1]
+            return _determine_input_type(non_none_type)
+        elif all(isinstance(arg, str) for arg in args if arg is not type(None)):
+            return "select"
+        else:
+            return "text"
+    elif hasattr(field_type, '__name__') and 'Tensor' in field_type.__name__:
+        return "tensor"
+    else:
+        return "text"
+
+
+def _markdown_to_html(markdown: str) -> str:
+    """Convert basic markdown to HTML for README display."""
+    import html
+    import re
+    
+    # Escape HTML first
+    html_content = html.escape(markdown)
+    
+    # Convert headers
+    html_content = re.sub(r'^# (.*?)$', r'<h1>\1</h1>', html_content, flags=re.MULTILINE)
+    html_content = re.sub(r'^## (.*?)$', r'<h2>\1</h2>', html_content, flags=re.MULTILINE)
+    html_content = re.sub(r'^### (.*?)$', r'<h3>\1</h3>', html_content, flags=re.MULTILINE)
+    
+    # Convert code blocks
+    html_content = re.sub(r'```(.*?)\n(.*?)\n```', r'<pre><code>\2</code></pre>', html_content, flags=re.DOTALL)
+    html_content = re.sub(r'`([^`]+)`', r'<code>\1</code>', html_content)
+    
+    # Convert bold and italic
+    html_content = re.sub(r'\*\*(.*?)\*\*', r'<strong>\1</strong>', html_content)
+    html_content = re.sub(r'\*(.*?)\*', r'<em>\1</em>', html_content)
+    
+    # Convert lists
+    html_content = re.sub(r'^- (.*?)$', r'<li>\1</li>', html_content, flags=re.MULTILINE)
+    html_content = re.sub(r'(<li>.*</li>)', r'<ul>\1</ul>', html_content, flags=re.DOTALL)
+    
+    # Convert line breaks
+    html_content = html_content.replace('\n', '<br>')
+    
+    return html_content
+
+
+def _generate_action_interface(action_fields: List[Dict[str, Any]], is_chat_env: bool) -> str:
+    """Generate either a chat interface or action form based on environment type."""
+    if is_chat_env:
+        return _generate_chat_interface()
+    else:
+        return _generate_action_form(action_fields)
+
+def _generate_chat_interface() -> str:
+    """Generate a chat-style interface for chat environments."""
+    return '''
+                <!-- Chat Interface -->
+                <div class="chat-interface">
+                    <h3>Chat Interface</h3>
+                    <div class="chat-messages" id="chat-messages">
+                        <div class="chat-message system">
+                            <div class="message-role">System</div>
+                            <div class="message-content">Chat environment ready. Send a message to start the conversation.</div>
+                        </div>
+                    </div>
+                    <div class="chat-input-container">
+                        <div class="role-selector">
+                            <label for="message-role">Role:</label>
+                            <select id="message-role">
+                                <option value="user">User</option>
+                                <option value="assistant">Assistant</option>
+                            </select>
+                        </div>
+                        <div class="message-input">
+                            <textarea id="message-input" placeholder="Type your message here..." rows="3"></textarea>
+                            <button class="btn" id="send-message-btn">Send Message</button>
+                        </div>
+                    </div>
+                </div>
+    '''
+
+def _generate_action_form(action_fields: List[Dict[str, Any]]) -> str:
+    """Generate a traditional action form for non-chat environments."""
+    return f'''
+                <!-- Action Form -->
+                <div class="action-form">
+                    <h3>Take Action</h3>
+                    <form id="action-form">
+                        {_generate_action_form_fields(action_fields)}
+                        <button type="submit" class="btn" id="step-btn">Step</button>
+                    </form>
+                </div>
+    '''
+
+def _generate_action_form_fields(action_fields: List[Dict[str, Any]]) -> str:
+    """Generate HTML form fields for action input with enhanced metadata."""
+    if not action_fields:
+        return '<p>No action fields available</p>'
+    
+    fields_html = []
+    for field in action_fields:
+        field_html = _generate_single_field(field)
+        fields_html.append(field_html)
+    
+    return '\n'.join(fields_html)
+
+
+def _generate_single_field(field: Dict[str, Any]) -> str:
+    """Generate HTML for a single form field with enhanced metadata."""
+    field_name = field['name']
+    field_type = field['type']
+    required = field['required']
+    placeholder = field.get('placeholder', '')
+    help_text = field.get('help_text', '')
+    choices = field.get('choices', [])
+    min_value = field.get('min_value')
+    max_value = field.get('max_value')
+    default_value = field.get('default_value')
+    
+    # Build label with required indicator
+    label_text = field_name.replace('_', ' ').title()
+    if required:
+        label_text += ' <span style="color: red;">*</span>'
+    
+    # Build input attributes
+    input_attrs = []
+    if required:
+        input_attrs.append('required')
+    if placeholder:
+        input_attrs.append(f'placeholder="{placeholder}"')
+    if min_value is not None:
+        input_attrs.append(f'min="{min_value}"')
+    if max_value is not None:
+        input_attrs.append(f'max="{max_value}"')
+    if default_value is not None:
+        input_attrs.append(f'value="{default_value}"')
+    
+    attrs_str = ' '.join(input_attrs)
+    
+    if field_type == 'checkbox':
+        return f'''
+            <div class="form-group">
+                <label>
+                    <input type="checkbox" name="{field_name}" value="true" {attrs_str}>
+                    {label_text}
+                </label>
+                {f'<small class="help-text">{help_text}</small>' if help_text else ''}
+            </div>
+        '''
+    
+    elif field_type == 'select':
+        options_html = []
+        if not required:
+            options_html.append(f'<option value="">-- Select {label_text} --</option>')
+        
+        for choice in choices:
+            selected = 'selected' if str(choice) == str(default_value) else ''
+            options_html.append(f'<option value="{choice}" {selected}>{choice}</option>')
+        
+        return f'''
+            <div class="form-group">
+                <label for="{field_name}">{label_text}:</label>
+                <select name="{field_name}" id="{field_name}" {attrs_str}>
+                    {''.join(options_html)}
+                </select>
+                {f'<small class="help-text">{help_text}</small>' if help_text else ''}
+            </div>
+        '''
+    
+    elif field_type == 'tensor':
+        return f'''
+            <div class="form-group">
+                <label for="{field_name}">{label_text} (comma-separated integers):</label>
+                <input type="text" name="{field_name}" id="{field_name}" {attrs_str}>
+                <small class="help-text">{help_text or 'Enter token IDs as comma-separated integers (e.g., 1,2,3,4,5)'}</small>
+            </div>
+        '''
+    
+    elif field_type == 'text' and ('message' in field_name.lower() or 'code' in field_name.lower()):
+        return f'''
+            <div class="form-group">
+                <label for="{field_name}">{label_text}:</label>
+                <textarea name="{field_name}" id="{field_name}" rows="3" {attrs_str}></textarea>
+                {f'<small class="help-text">{help_text}</small>' if help_text else ''}
+            </div>
+        '''
+    
+    else:
+        return f'''
+            <div class="form-group">
+                <label for="{field_name}">{label_text}:</label>
+                <input type="{field_type}" name="{field_name}" id="{field_name}" {attrs_str}>
+                {f'<small class="help-text">{help_text}</small>' if help_text else ''}
+            </div>
+        '''

src/core/http_env_client.py

@@ -0,0 +1,185 @@
+"""
+core/runner_env.py
+Minimal HTTP-based environment client.
+- Talks to a single env worker exposing: POST /reset, POST /step
+
+Future hooks (commented below) for:
+- episode_id, seed on reset
+- request_id on step
+- custom headers (auth/trace)
+"""
+
+from __future__ import annotations
+
+from abc import ABC, abstractmethod
+from typing import Any, Dict, Generic, Optional, Type, TYPE_CHECKING, TypeVar
+
+import requests
+
+from .client_types import StepResult
+from .containers.runtime import LocalDockerProvider
+
+if TYPE_CHECKING:
+    from .containers.runtime import ContainerProvider
+
+ActT = TypeVar("ActT")
+ObsT = TypeVar("ObsT")
+EnvClientT = TypeVar("EnvClientT", bound="HTTPEnvClient")
+
+
+class HTTPEnvClient(ABC, Generic[ActT, ObsT]):
+    def __init__(
+        self,
+        base_url: str,
+        request_timeout_s: float = 15.0,
+        default_headers: Optional[Dict[str, str]] = None,
+        provider: Optional["ContainerProvider"] = None,
+    ):
+        self._base = base_url.rstrip("/")
+        self._timeout = float(request_timeout_s)
+        self._http = requests.Session()
+        self._headers = default_headers or {}
+        self._provider = provider
+
+    @classmethod
+    def from_docker_image(
+        cls: Type[EnvClientT],
+        image: str,
+        provider: Optional["ContainerProvider"] = None,
+        **kwargs: Any,
+    ) -> EnvClientT:
+        """
+        Create an environment client by spinning up a Docker container locally.
+
+        This is a development utility that:
+        1. Starts a Docker container from the specified image
+        2. Waits for the server to be ready
+        3. Creates and returns a client instance connected to the container
+
+        Note: The container lifecycle management is left to the user or higher-level
+        orchestration. The container will keep running until manually stopped.
+
+        Args:
+            image: Docker image name to run (e.g., "echo-env:latest")
+            provider: Container provider to use (defaults to LocalDockerProvider)
+            **kwargs: Additional arguments to pass to provider.start_container()
+                     (e.g., env_vars, port)
+
+        Returns:
+            An instance of the client class connected to the running container
+
+        Example:
+            >>> from envs.coding_env.client import CodingEnv
+            >>> from envs.coding_env.models import CodeAction
+            >>>
+            >>> # Create environment from image
+            >>> env = CodingEnv.from_docker_image("coding-env:latest")
+            >>>
+            >>> # Create environment with custom env vars
+            >>> env = CodingEnv.from_docker_image(
+            ...     "coding-env:latest",
+            ...     env_vars={"MY_VAR": "value"}
+            ... )
+            >>>
+            >>> # Use the environment
+            >>> result = env.reset()
+            >>> print(result.observation)
+            >>>
+            >>> step_result = env.step(CodeAction(code="print('hello')"))
+            >>> print(step_result.observation.stdout)
+            >>>
+            >>> # Cleanup (optional)
+            >>> env.close()
+        """
+
+        # Use default provider if none provided
+        if provider is None:
+            provider = LocalDockerProvider()
+
+        # 1. Start container with optional kwargs (e.g., env_vars, port)
+        base_url = provider.start_container(image, **kwargs)
+
+        # 2. Wait for server to be ready
+        provider.wait_for_ready(base_url)
+
+        # 3. Create and return client instance with provider reference
+        return cls(base_url=base_url, provider=provider)
+
+    @abstractmethod
+    def _step_payload(self, action: ActT) -> dict:
+        """Convert an Action object to the JSON body expected by the env server."""
+        raise NotImplementedError
+
+    @abstractmethod
+    def _parse_result(self, payload: dict) -> StepResult[ObsT]:
+        """Convert a JSON response from the env server to StepResult[ObsT]."""
+        raise NotImplementedError
+
+    @abstractmethod
+    def _parse_state(self, payload: dict) -> Any:
+        """Convert a JSON response from the state endpoint to a State object."""
+        raise NotImplementedError
+
+    # ---------- Environment Server Interface Methods ----------
+    def reset(self) -> StepResult[ObsT]:
+        body: Dict[str, Any] = {}
+        # TODO: later:
+        # body["seed"] = seed
+        # body["episode_id"] = episode_id
+        r = self._http.post(
+            f"{self._base}/reset",
+            json=body,
+            headers=self._headers,
+            timeout=self._timeout,
+        )
+        r.raise_for_status()
+        return self._parse_result(r.json())
+
+    def step(self, action: ActT) -> StepResult[ObsT]:
+        body: Dict[str, Any] = {
+            "action": self._step_payload(action),
+            "timeout_s": int(self._timeout),
+        }
+        # TODO: later:
+        # body["request_id"] = str(uuid.uuid4())
+        # body["episode_id"] = current_episode_id
+        r = self._http.post(
+            f"{self._base}/step",
+            json=body,
+            headers=self._headers,
+            timeout=self._timeout,
+        )
+        r.raise_for_status()
+        return self._parse_result(r.json())
+
+    def state(self) -> Any:
+        """
+        Get the current environment state from the server.
+
+        Returns:
+            State object with environment state information (e.g., episode_id, step_count)
+
+        Example:
+            >>> client = EchoEnv.from_docker_image("echo-env:latest")
+            >>> result = client.reset()
+            >>> state = client.state()
+            >>> print(state.episode_id)
+            >>> print(state.step_count)
+        """
+        r = self._http.get(
+            f"{self._base}/state",
+            headers=self._headers,
+            timeout=self._timeout,
+        )
+        r.raise_for_status()
+        return self._parse_state(r.json())
+
+    def close(self) -> None:
+        """
+        Close the environment and clean up resources.
+
+        If this client was created via from_docker_image(), this will stop
+        and remove the associated container.
+        """
+        if self._provider is not None:
+            self._provider.stop_container()

src/core/pyproject.toml

@@ -0,0 +1,56 @@
+[build-system]
+requires = ["setuptools>=45", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "openenv-core"
+version = "0.1.0"
+description = "Core components for OpenEnv - HTTP-based agentic environments"
+readme = "README.md"
+requires-python = ">=3.8"
+license = {text = "BSD-3-Clause"}
+authors = [
+    {name = "Meta Platforms, Inc.", email = "[email protected]"}
+]
+keywords = ["environment", "agent", "http", "docker", "fastapi"]
+
+dependencies = [
+    "requests>=2.25.0",
+    "fastapi>=0.104.0",
+    "uvicorn>=0.24.0",
+    "huggingface_hub>=0.20.0",
+    "rich>=13.0.0",
+    "typer>=0.12.0",
+]
+
+[project.scripts]
+openenv = "openenv_cli.__main__:main"
+
+[project.optional-dependencies]
+dev = [
+    "pytest>=7.0.0",
+    "black>=23.0.0",
+    "ruff>=0.1.0",
+    "mypy>=1.0.0",
+]
+
+[project.urls]
+Homepage = "https://github.com/facebookresearch/OpenEnv"
+Repository = "https://github.com/facebookresearch/OpenEnv"
+Documentation = "https://github.com/facebookresearch/OpenEnv/blob/main/README.md"
+"Bug Tracker" = "https://github.com/facebookresearch/OpenEnv/issues"
+
+[tool.setuptools]
+py-modules = ["openenv_core.__init__", "openenv_core.http_env_client", "openenv_core.client_types"]
+packages = [
+    "openenv_core",
+    "openenv_core.containers",
+    "openenv_core.containers.runtime",
+    "openenv_core.env_server",
+    "openenv_core.tools",
+    "openenv_cli",
+    "openenv_cli.commands",
+    "openenv_cli.core",
+    "openenv_cli.utils",
+]
+package-dir = {"openenv_core" = ".", "openenv_cli" = "../openenv_cli"}

src/core/tools/__init__.py

@@ -0,0 +1,16 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+"""Core tools for code execution and other utilities."""
+
+from .git_server_client import GitServerClient, RepoInfo
+from .local_python_executor import PyExecutor
+
+__all__ = [
+    "PyExecutor",
+    "GitServerClient",
+    "RepoInfo",
+]

src/core/tools/git_server_client.py

@@ -0,0 +1,362 @@
+#!/usr/bin/env python3
+"""
+Git Server Client for connecting to external Gitea instance.
+
+This module provides a lightweight client for interacting with a shared
+Gitea service, optimized for task-based isolation where multiple environment
+instances share the same Gitea server but have isolated workspaces.
+"""
+
+import json
+import os
+import shutil
+import subprocess
+import time
+from dataclasses import dataclass
+from pathlib import Path
+from urllib.parse import urlparse
+
+
+@dataclass
+class RepoInfo:
+    """Information about a repository."""
+
+    name: str
+    url: str
+    commit: str
+    clone_url: str
+
+
+class GitServerClient:
+    """
+    Client for connecting to an external Gitea server.
+
+    This client is optimized for task-based isolation where:
+    - Multiple tasks share the same Gitea instance
+    - Each task has its own isolated workspace
+    - Fast reset() via git operations (no server restart)
+    - Repos are pre-migrated to Gitea once
+
+    Args:
+        gitea_url: URL of the Gitea server (e.g., "http://gitea:3000")
+        username: Gitea username for authentication
+        password: Gitea password for authentication
+        workspace_dir: Local workspace directory for cloning repos
+
+    Example:
+        >>> # Connect to shared Gitea (credentials from environment)
+        >>> import os
+        >>> client = GitServerClient(
+        ...     gitea_url=os.getenv("GITEA_URL"),
+        ...     username=os.getenv("GITEA_USERNAME"),
+        ...     password=os.getenv("GITEA_PASSWORD")
+        ... )
+        >>> client.wait_for_ready()
+        >>> # Clone repo to workspace
+        >>> path = client.clone_to_workspace("my-repo", commit="abc123")
+        >>> # Fast reset to base state
+        >>> client.reset_workspace("my-repo", commit="abc123")
+    """
+
+    def __init__(
+        self,
+        gitea_url: str,
+        username: str,
+        password: str,
+        workspace_dir: str = "/workspace",
+    ):
+        """Initialize Git Server Client."""
+        self.gitea_url = gitea_url.rstrip("/")
+        self.username = username
+        self.password = password
+        self.workspace_dir = Path(workspace_dir)
+        self.is_ready = False
+
+        # Parse Gitea URL
+        parsed = urlparse(self.gitea_url)
+        self.domain = parsed.hostname or "localhost"
+        self.port = parsed.port or 3000
+
+        # Ensure workspace exists
+        os.makedirs(self.workspace_dir, exist_ok=True)
+
+        # Configure git credentials
+        self._configure_git()
+
+    def _configure_git(self):
+        """Configure git credentials for automatic authentication."""
+        home_dir = Path.home()
+
+        # Git config
+        git_config = f"""[user]
+    name = {self.username}
+    email = {self.username}@local.env
+[init]
+    defaultBranch = main
+[credential]
+    helper = store
+"""
+        gitconfig_path = home_dir / ".gitconfig"
+        gitconfig_path.write_text(git_config)
+
+        # Git credentials
+        git_credentials = f"http://{self.username}:{self.password}@{self.domain}:{self.port}\n"
+        gitcreds_path = home_dir / ".git-credentials"
+        gitcreds_path.write_text(git_credentials)
+        gitcreds_path.chmod(0o600)
+
+    def wait_for_ready(self, timeout: int = 30) -> bool:
+        """
+        Wait for Gitea server to be ready.
+
+        Args:
+            timeout: Maximum seconds to wait
+
+        Returns:
+            True if server is ready, False otherwise
+        """
+        start_time = time.time()
+        while time.time() - start_time < timeout:
+            try:
+                result = subprocess.run(
+                    ["curl", "-sf", f"{self.gitea_url}/"],
+                    capture_output=True,
+                    timeout=5,
+                )
+                if result.returncode == 0:
+                    self.is_ready = True
+                    return True
+            except subprocess.TimeoutExpired:
+                pass
+            except Exception:
+                pass
+
+            time.sleep(1)
+
+        return False
+
+    def list_repositories(self) -> list[dict[str, str]]:
+        """
+        List all repositories in Gitea.
+
+        Returns:
+            List of repository information dictionaries
+        """
+        if not self.is_ready:
+            raise RuntimeError("Gitea server is not ready")
+
+        result = subprocess.run(
+            [
+                "curl",
+                "-s",
+                f"{self.gitea_url}/api/v1/user/repos",
+                "-u",
+                f"{self.username}:{self.password}",
+            ],
+            capture_output=True,
+            text=True,
+        )
+
+        if result.returncode != 0:
+            return []
+
+        try:
+            repos = json.loads(result.stdout)
+            return [
+                {
+                    "name": repo["name"],
+                    "full_name": repo["full_name"],
+                    "clone_url": repo["clone_url"],
+                    "description": repo.get("description", ""),
+                }
+                for repo in repos
+            ]
+        except (json.JSONDecodeError, KeyError):
+            return []
+
+    def clone_to_workspace(
+        self, repo_name: str, target_dir: str | None = None, commit: str = "main"
+    ) -> str:
+        """
+        Clone a repository to the workspace at a specific commit.
+
+        This creates a fresh clone optimized for task isolation.
+
+        Args:
+            repo_name: Name of repository to clone
+            target_dir: Target directory name (defaults to repo_name)
+            commit: Commit hash or branch to checkout
+
+        Returns:
+            Path to cloned repository
+
+        Raises:
+            RuntimeError: If clone fails
+        """
+        if not self.is_ready:
+            raise RuntimeError("Gitea server is not ready")
+
+        target_dir = target_dir or repo_name
+        target_path = self.workspace_dir / target_dir
+
+        # Remove existing directory if present
+        if target_path.exists():
+            shutil.rmtree(target_path)
+
+        clone_url = f"{self.gitea_url}/{self.username}/{repo_name}.git"
+
+        # Clone repository
+        result = subprocess.run(
+            ["git", "clone", clone_url, str(target_path)],
+            capture_output=True,
+            text=True,
+        )
+
+        if result.returncode != 0:
+            raise RuntimeError(f"Clone failed: {result.stderr}")
+
+        # Checkout specific commit
+        if commit != "main":
+            result = subprocess.run(
+                ["git", "checkout", commit],
+                cwd=str(target_path),
+                capture_output=True,
+                text=True,
+            )
+
+            if result.returncode != 0:
+                raise RuntimeError(f"Checkout failed: {result.stderr}")
+
+        return str(target_path)
+
+    def reset_workspace(self, repo_name: str, commit: str = "main") -> bool:
+        """
+        Fast reset of workspace to base state (optimized for task resets).
+
+        This is much faster than re-cloning. It:
+        1. Checks out the target commit
+        2. Resets to that commit (hard)
+        3. Cleans untracked files
+
+        Args:
+            repo_name: Name of repository (directory in workspace)
+            commit: Commit hash or branch to reset to
+
+        Returns:
+            True if reset successful
+
+        Raises:
+            RuntimeError: If reset fails
+        """
+        repo_path = self.workspace_dir / repo_name
+
+        if not repo_path.exists():
+            raise RuntimeError(f"Repository not found in workspace: {repo_name}")
+
+        # Fetch latest (in case commit is new)
+        subprocess.run(
+            ["git", "fetch", "--all"],
+            cwd=str(repo_path),
+            capture_output=True,
+        )
+
+        # Checkout and hard reset to commit
+        result = subprocess.run(
+            ["git", "checkout", commit],
+            cwd=str(repo_path),
+            capture_output=True,
+            text=True,
+        )
+
+        if result.returncode != 0:
+            raise RuntimeError(f"Checkout failed: {result.stderr}")
+
+        result = subprocess.run(
+            ["git", "reset", "--hard", f"origin/{commit}" if commit != "main" else commit],
+            cwd=str(repo_path),
+            capture_output=True,
+            text=True,
+        )
+
+        if result.returncode != 0:
+            # Try without origin/ prefix
+            result = subprocess.run(
+                ["git", "reset", "--hard", commit],
+                cwd=str(repo_path),
+                capture_output=True,
+                text=True,
+            )
+            if result.returncode != 0:
+                raise RuntimeError(f"Reset failed: {result.stderr}")
+
+        # Clean untracked files and directories
+        subprocess.run(
+            ["git", "clean", "-fdx"],
+            cwd=str(repo_path),
+            capture_output=True,
+        )
+
+        return True
+
+    def execute_git_command(
+        self, command: str, working_dir: str = ""
+    ) -> tuple[int, str, str]:
+        """
+        Execute a git command in the workspace.
+
+        Args:
+            command: Git command to execute (without 'git' prefix)
+            working_dir: Working directory relative to workspace
+
+        Returns:
+            Tuple of (exit_code, stdout, stderr)
+        """
+        work_path = (
+            self.workspace_dir / working_dir if working_dir else self.workspace_dir
+        )
+
+        if not work_path.exists():
+            return (1, "", f"Working directory does not exist: {work_path}")
+
+        # Split command safely
+        cmd_parts = ["git"] + command.split()
+
+        result = subprocess.run(
+            cmd_parts,
+            cwd=str(work_path),
+            capture_output=True,
+            text=True,
+        )
+
+        return (result.returncode, result.stdout, result.stderr)
+
+    def get_current_commit(self, repo_name: str) -> str:
+        """
+        Get current commit hash of a workspace repository.
+
+        Args:
+            repo_name: Name of repository in workspace
+
+        Returns:
+            Commit hash
+        """
+        repo_path = self.workspace_dir / repo_name
+
+        if not repo_path.exists():
+            raise RuntimeError(f"Repository not found: {repo_name}")
+
+        result = subprocess.run(
+            ["git", "rev-parse", "HEAD"],
+            cwd=str(repo_path),
+            capture_output=True,
+            text=True,
+        )
+
+        if result.returncode != 0:
+            raise RuntimeError(f"Failed to get commit: {result.stderr}")
+
+        return result.stdout.strip()
+
+    def workspace_exists(self, repo_name: str) -> bool:
+        """Check if a repository exists in workspace."""
+        return (self.workspace_dir / repo_name).exists()

src/core/tools/local_python_executor.py

@@ -0,0 +1,105 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+"""
+Local Python Executor.
+
+This module provides functionality for executing Python code locally by wrapping
+the smolagents LocalPythonExecutor.
+"""
+
+from smolagents import LocalPythonExecutor
+
+from core.env_server.types import CodeExecResult
+
+
+class PyExecutor:
+    """
+    Wrapper around smolagents LocalPythonExecutor for executing Python code.
+
+    This class provides a simple interface to execute Python code in a subprocess
+    and capture the results including stdout, stderr, and exit code.
+
+    Args:
+        additional_imports: List of additional module imports to authorize.
+                          For example: ["numpy", "pandas", "matplotlib"]
+                          These will be added to the base authorized imports.
+
+    Example:
+        >>> # Basic usage with default imports
+        >>> executor = PyExecutor()
+        >>> result = executor.run("print('Hello, World!')")
+        >>> print(result.stdout)  # "Hello, World!\n"
+        >>> print(result.exit_code)  # 0
+        >>>
+        >>> # Usage with additional imports
+        >>> executor = PyExecutor(additional_imports=["numpy", "pandas"])
+        >>> result = executor.run("import numpy as np\\nprint(np.array([1, 2, 3]))")
+        >>> print(result.stdout)  # "[1 2 3]\n"
+    """
+
+    def __init__(self, additional_imports: list[str] | None = None):
+        """
+        Initialize the PyExecutor with a LocalPythonExecutor instance.
+
+        Args:
+            additional_imports: List of additional module names to authorize for import.
+                              Defaults to an empty list if not provided.
+        """
+        if additional_imports is None:
+            additional_imports = []
+        self._executor = LocalPythonExecutor(
+            additional_authorized_imports=additional_imports
+        )
+        # Initialize tools to make BASE_PYTHON_TOOLS available (including print)
+        self._executor.send_tools({})
+
+    def run(self, code: str) -> CodeExecResult:
+        """
+        Execute Python code and return the result.
+
+        Args:
+            code: Python code string to execute
+
+        Returns:
+            CodeExecResult containing stdout, stderr, and exit_code
+
+        Example:
+            >>> executor = PyExecutor()
+            >>> result = executor.run("x = 5 + 3\\nprint(x)")
+            >>> print(result.stdout)  # "8\n"
+            >>> print(result.exit_code)  # 0
+            >>>
+            >>> # Error handling
+            >>> result = executor.run("1 / 0")
+            >>> print(result.exit_code)  # 1
+            >>> print(result.stderr)  # Contains error message
+        """
+        try:
+            # Execute the code using LocalPythonExecutor
+            # LocalPythonExecutor returns a CodeOutput object with output, logs, is_final_answer
+            exec_result = self._executor(code)
+
+            # Extract the logs (which contain print outputs) as stdout
+            # The output field contains the return value of the code
+            stdout = exec_result.logs
+            stderr = ""
+            exit_code = 0  # Success
+
+            return CodeExecResult(
+                stdout=stdout,
+                stderr=stderr,
+                exit_code=exit_code,
+            )
+
+        except Exception as e:
+            # LocalPythonExecutor raises InterpreterError for various issues
+            # (syntax errors, forbidden operations, runtime errors, etc.)
+            return CodeExecResult(
+                stdout="",
+                stderr=str(e),
+                exit_code=1,  # Non-zero indicates error
+            )

src/envs/browsergym_env/README.md

@@ -0,0 +1,539 @@
+
+# BrowserGym Environment
+
+BrowserGym is a unified framework for web-based agent tasks that provides access to multiple benchmarks under a single Gymnasium-compatible API. This integration brings the complete training-to-evaluation pipeline for web agents into OpenEnv.
+
+## Why BrowserGym?
+
+BrowserGym provides a complete pipeline for developing web agents: train on simple tasks, then evaluate on realistic websites.
+
+**What are these benchmarks?**
+
+- **MiniWoB++ (Training)**: 100+ synthetic web tasks like "click this button", "fill out this form", "select from dropdown". Each task is a simple webpage with a clear objective. Fast resets, randomized variations, dense rewards. Perfect for learning basic web navigation skills. **No external setup needed** - tasks run in isolated browser sessions.
+
+- **WebArena (Evaluation)**: 812 tasks on real websites (e-commerce, forums, GitLab, Wikipedia). Tasks like "find the cheapest laptop and add to cart" or "create a merge request for bug #123". Multi-step, requires reasoning, sparse rewards. Tests if your agent can handle actual websites. **Requires running 7 backend services** (shopping site, GitLab instance, etc).
+
+- **VisualWebArena**: Similar to WebArena but requires visual understanding - agents need to interpret images, identify UI elements visually, handle multimodal content.
+
+- **WorkArena**: Enterprise software tasks (CRM, project management, business workflows). Tests automation on corporate-style applications.
+
+**The training → evaluation pipeline:**
+1. Train on MiniWoB (simple, controlled, fast iterations)
+2. Evaluate on WebArena (complex, realistic, measures real-world capability)
+
+**Key advantage**: You can start training immediately with MiniWoB. No need to set up infrastructure just to test if your code works.
+
+## Quick Start - Training (MiniWoB)
+
+### No Setup Required! 🎉
+
+```python
+from envs.browsergym_env import BrowserGymEnv, BrowserGymAction
+
+# Create environment for MiniWoB training task
+env = BrowserGymEnv.from_docker_image(
+    "ghcr.io/openenv/browsergym-env:latest",
+    environment={
+        "BROWSERGYM_BENCHMARK": "miniwob",
+        "BROWSERGYM_TASK_NAME": "click-test",  # or "click-button", "click-dialog", etc.
+    }
+)
+
+# Train your agent!
+for episode in range(1000):
+    result = env.reset()
+    print(f"Goal: {result.observation.goal}")
+
+    done = False
+    while not done:
+        # Your agent decides what to do
+        action_str = agent.get_action(result.observation.text)
+        action = BrowserGymAction(action_str=action_str)
+
+        result = env.step(action)
+        done = result.done
+
+        print(f"Reward: {result.reward}")
+
+env.close()
+```
+
+### Available Tasks by Benchmark
+
+#### MiniWoB++ Tasks (Training - 100+ tasks)
+
+MiniWoB tasks are organized by difficulty and type. Here are the main categories:
+
+**Click Tasks** (Basic interaction)
+| Task Name | Description | Difficulty |
+|-----------|-------------|------------|
+| `click-test` | Click a single button | ⭐ Easy |
+| `click-button` | Click button with specific text | ⭐ Easy |
+| `click-button-sequence` | Click buttons in order | ⭐⭐ Medium |
+| `click-checkboxes` | Select specific checkboxes | ⭐⭐ Medium |
+| `click-checkboxes-soft` | Select checkboxes (multiple valid) | ⭐⭐ Medium |
+| `click-checkboxes-large` | Many checkboxes to select from | ⭐⭐ Medium |
+| `click-checkboxes-transfer` | Transfer learning variation | ⭐⭐ Medium |
+| `click-dialog` | Click correct button in dialog | ⭐ Easy |
+| `click-dialog-2` | More complex dialog | ⭐⭐ Medium |
+| `click-link` | Click on a link | ⭐ Easy |
+| `click-option` | Select from dropdown | ⭐⭐ Medium |
+| `click-pie` | Click on pie chart slice | ⭐⭐ Medium |
+| `click-scroll-list` | Click item in scrollable list | ⭐⭐⭐ Hard |
+| `click-shades` | Click on specific color shade | ⭐⭐ Medium |
+| `click-shape` | Click on specific shape | ⭐⭐ Medium |
+| `click-tab` | Switch between tabs | ⭐⭐ Medium |
+| `click-tab-2` | More complex tab switching | ⭐⭐⭐ Hard |
+| `click-widget` | Click on UI widget | ⭐⭐ Medium |
+
+**Text Entry Tasks** (Typing and forms)
+| Task Name | Description | Difficulty |
+|-----------|-------------|------------|
+| `enter-text` | Type text into input field | ⭐ Easy |
+| `enter-text-dynamic` | Dynamic text entry | ⭐⭐ Medium |
+| `enter-text-2` | Multiple text fields | ⭐⭐ Medium |
+| `enter-password` | Fill password field | ⭐ Easy |
+| `enter-date` | Enter a date | ⭐⭐ Medium |
+| `enter-time` | Enter a time | ⭐⭐ Medium |
+| `login-user` | Complete login form | ⭐⭐ Medium |
+| `login-user-popup` | Login via popup | ⭐⭐⭐ Hard |
+
+**Navigation Tasks** (Multi-step interaction)
+| Task Name | Description | Difficulty |
+|-----------|-------------|------------|
+| `navigate-tree` | Navigate through tree structure | ⭐⭐⭐ Hard |
+| `search-engine` | Use search interface | ⭐⭐ Medium |
+| `use-autocomplete` | Interact with autocomplete | ⭐⭐⭐ Hard |
+| `book-flight` | Book a flight (complex form) | ⭐⭐⭐⭐ Very Hard |
+| `choose-date` | Pick date from calendar | ⭐⭐⭐ Hard |
+| `choose-date-easy` | Simplified date picker | ⭐⭐ Medium |
+| `choose-date-medium` | Medium difficulty date picker | ⭐⭐⭐ Hard |
+| `choose-list` | Select from long list | ⭐⭐ Medium |
+
+**Visual/Spatial Tasks** (Requires visual understanding)
+| Task Name | Description | Difficulty |
+|-----------|-------------|------------|
+| `count-sides` | Count sides of shape | ⭐⭐ Medium |
+| `count-shape` | Count specific shapes | ⭐⭐ Medium |
+| `find-word` | Find word in text | ⭐⭐ Medium |
+| `focus-text` | Focus on text element | ⭐ Easy |
+| `focus-text-2` | More complex focus task | ⭐⭐ Medium |
+| `grid-coordinate` | Click grid coordinate | ⭐⭐ Medium |
+| `guess-number` | Guess a number game | ⭐⭐⭐ Hard |
+| `identify-shape` | Identify shape type | ⭐⭐ Medium |
+| `read-table` | Extract info from table | ⭐⭐⭐ Hard |
+| `read-table-2` | More complex table reading | ⭐⭐⭐ Hard |
+
+**Email/Social Tasks** (Realistic scenarios)
+| Task Name | Description | Difficulty |
+|-----------|-------------|------------|
+| `email-inbox` | Manage email inbox | ⭐⭐⭐⭐ Very Hard |
+| `email-inbox-forward` | Forward emails | ⭐⭐⭐⭐ Very Hard |
+| `email-inbox-nl` | Natural language email task | ⭐⭐⭐⭐ Very Hard |
+| `email-inbox-star-reply` | Star and reply to emails | ⭐⭐⭐⭐ Very Hard |
+| `social-media` | Social media interaction | ⭐⭐⭐⭐ Very Hard |
+| `social-media-some` | Partial social media task | ⭐⭐⭐ Hard |
+
+**Total:** 100+ tasks across all categories
+
+**Usage:**
+```python
+# Easy task for quick testing
+env = BrowserGymEnv(environment={"BROWSERGYM_TASK_NAME": "click-test"})
+
+# Medium difficulty for training
+env = BrowserGymEnv(environment={"BROWSERGYM_TASK_NAME": "click-checkboxes"})
+
+# Hard task for evaluation
+env = BrowserGymEnv(environment={"BROWSERGYM_TASK_NAME": "email-inbox"})
+```
+
+#### WebArena Tasks (Evaluation - 812 tasks)
+
+WebArena tasks are organized by website and difficulty. Tasks are numbered 0-811.
+
+**By Website:**
+| Website | Task Count | Description | Example Tasks |
+|---------|------------|-------------|---------------|
+| Shopping | ~200 | E-commerce site | Search products, add to cart, checkout |
+| Shopping Admin | ~150 | Admin panel | Manage products, orders, customers |
+| Reddit | ~150 | Forum/social | Post, comment, search discussions |
+| GitLab | ~200 | Code repository | Create issues, merge requests, review code |
+| Wikipedia | ~100 | Knowledge base | Search, read, extract information |
+| Map | ~12 | Location service | Find places, get directions |
+
+**By Difficulty:**
+| Difficulty | Task Count | Steps Required | Example |
+|------------|------------|----------------|---------|
+| Easy | ~200 | 1-5 steps | "Find the price of product X" |
+| Medium | ~400 | 5-15 steps | "Add cheapest laptop to cart" |
+| Hard | ~212 | 15+ steps | "Create merge request for bug fix" |
+
+**Usage:**
+```python
+# Task 0 (usually easy)
+env = BrowserGymEnv(environment={
+    "BROWSERGYM_BENCHMARK": "webarena",
+    "BROWSERGYM_TASK_NAME": "0",
+    "SHOPPING": "http://your-server:7770",
+    # ... other URLs
+})
+
+# Task 156 (GitLab merge request)
+env = BrowserGymEnv(environment={
+    "BROWSERGYM_BENCHMARK": "webarena",
+    "BROWSERGYM_TASK_NAME": "156",
+    # ... URLs
+})
+```
+
+**Note:** WebArena tasks require the full backend infrastructure. See [WebArena setup guide](https://github.com/web-arena-x/webarena/tree/main/environment_docker).
+
+#### VisualWebArena Tasks (910 tasks)
+
+Similar to WebArena but requires visual understanding. Tasks involve:
+- Image-based reasoning
+- Visual element identification
+- Multimodal interaction (text + images)
+
+#### WorkArena Tasks
+
+Enterprise software automation tasks:
+- CRM operations
+- Project management
+- Business workflows
+
+**Full task lists:**
+- [MiniWoB++ tasks](https://github.com/Farama-Foundation/miniwob-plusplus/tree/master/miniwob/environment)
+- [WebArena tasks](https://github.com/web-arena-x/webarena/blob/main/config_files/)
+- [BrowserGym documentation](https://github.com/ServiceNow/BrowserGym)
+
+## Evaluation (WebArena)
+
+### Prerequisites
+
+WebArena requires setting up backend infrastructure. See the [WebArena documentation](https://github.com/web-arena-x/webarena/tree/main/environment_docker).
+
+### Usage
+
+```python
+from envs.browsergym_env import BrowserGymEnv, BrowserGymAction
+
+# Create environment for WebArena evaluation
+env = BrowserGymEnv.from_docker_image(
+    "ghcr.io/openenv/browsergym-env:latest",
+    environment={
+        "BROWSERGYM_BENCHMARK": "webarena",
+        "BROWSERGYM_TASK_NAME": "0",  # Task ID
+        # WebArena backend URLs (required)
+        "SHOPPING": "http://your-server:7770",
+        "SHOPPING_ADMIN": "http://your-server:7780/admin",
+        "REDDIT": "http://your-server:9999",
+        "GITLAB": "http://your-server:8023",
+        "MAP": "http://your-server:3000",
+        "WIKIPEDIA": "http://your-server:8888/wikipedia_en_all_maxi_2022-05/A/User:The_other_Kiwix_guy/Landing",
+        "HOMEPAGE": "http://your-server:4399",
+    }
+)
+
+# Evaluate your trained agent
+result = env.reset()
+while not result.done:
+    action_str = agent.get_action(result.observation)
+    action = BrowserGymAction(action_str=action_str)
+    result = env.step(action)
+
+print(f"Success: {result.reward}")
+env.close()
+```
+
+## Building the Docker Image
+
+### Prerequisites
+
+1. **Base Image**: Build the OpenEnv base image first:
+
+```bash
+# From the OpenEnv repository root
+docker build -t openenv-base:latest -f src/core/containers/images/Dockerfile .
+```
+
+### Build the BrowserGym Environment
+
+```bash
+# From the OpenEnv repository root
+docker build -t browsergym-env:latest -f src/envs/browsergym_env/server/Dockerfile .
+```
+
+### Run the Server
+
+#### For MiniWoB (Training):
+
+```bash
+docker run -p 8000:8000 \
+  -e BROWSERGYM_BENCHMARK="miniwob" \
+  -e BROWSERGYM_TASK_NAME="click-test" \
+  browsergym-env:latest
+```
+
+#### For WebArena (Evaluation):
+
+```bash
+docker run -p 8000:8000 \
+  -e BROWSERGYM_BENCHMARK="webarena" \
+  -e BROWSERGYM_TASK_NAME="0" \
+  -e SHOPPING="http://your-server:7770" \
+  -e SHOPPING_ADMIN="http://your-server:7780/admin" \
+  -e REDDIT="http://your-server:9999" \
+  -e GITLAB="http://your-server:8023" \
+  -e MAP="http://your-server:3000" \
+  -e WIKIPEDIA="http://your-server:8888/wikipedia_en_all_maxi_2022-05/A/User:The_other_Kiwix_guy/Landing" \
+  -e HOMEPAGE="http://your-server:4399" \
+  browsergym-env:latest
+```
+
+## Environment Details
+
+### Action
+
+Actions in BrowserGym are natural language strings that describe browser operations:
+
+```python
+from envs.browsergym_env import BrowserGymAction
+
+# Click actions
+action = BrowserGymAction(action_str="click('Submit button')")
+action = BrowserGymAction(action_str="click('element_id_123')")
+
+# Type actions
+action = BrowserGymAction(action_str="fill('username', '[email protected]')")
+action = BrowserGymAction(action_str="fill('password', 'secret123')")
+
+# Navigate actions
+action = BrowserGymAction(action_str="goto('https://example.com')")
+
+# Keyboard actions
+action = BrowserGymAction(action_str="press('Enter')")
+action = BrowserGymAction(action_str="press('Tab')")
+
+# Scroll actions
+action = BrowserGymAction(action_str="scroll('down')")
+```
+
+### Observation
+
+Observations contain multiple modalities:
+
+```python
+result = env.step(action)
+obs = result.observation
+
+# Text observations
+print(obs.text)          # Primary text representation (AXTree or DOM)
+print(obs.axtree_txt)    # Accessibility tree
+print(obs.pruned_html)   # Pruned HTML (interactive elements only)
+
+# Page metadata
+print(obs.url)           # Current URL
+print(obs.goal)          # Task goal/instruction
+
+# Visual (if enabled)
+if obs.screenshot is not None:
+    print(obs.screenshot.shape)  # [height, width, channels]
+
+# Error handling
+if obs.last_action_error:
+    print(f"Action failed: {obs.error}")
+
+# Episode status
+print(obs.done)          # True if episode ended
+print(obs.reward)        # Reward for the step
+
+# Access full BrowserGym data (includes timestamps, etc.)
+print(obs.metadata["browsergym_obs"])  # Full observation dict from BrowserGym
+print(obs.metadata["browsergym_info"]) # Full info dict (timestamps, page state, etc.)
+```
+
+#### Advanced: Accessing Raw BrowserGym Data
+
+For VisualWebArena or custom training, you may need additional data like timestamps or browser state. The full BrowserGym observation and info dicts are preserved in `metadata`:
+
+```python
+result = env.step(action)
+
+# Access timestamps (if available)
+info = result.observation.metadata["browsergym_info"]
+if "timestamp" in info:
+    print(f"Action timestamp: {info['timestamp']}")
+
+# Access additional observation fields
+obs_dict = result.observation.metadata["browsergym_obs"]
+if "dom_object" in obs_dict:
+    dom = obs_dict["dom_object"]
+    # Work with raw DOM object
+
+# Access page performance data
+if "performance" in info:
+    print(f"Page load time: {info['performance']}")
+```
+
+### State
+
+The environment state tracks progress:
+
+```python
+state = env.state()
+
+print(f"Benchmark: {state.benchmark}")     # 'miniwob', 'webarena', etc.
+print(f"Task: {state.task_name}")          # Task name/ID
+print(f"Episode: {state.episode_id}")      # Unique episode ID
+print(f"Steps: {state.step_count}")        # Number of steps taken
+print(f"Total Reward: {state.cum_reward}") # Cumulative reward
+print(f"Goal: {state.goal}")               # Task instruction
+print(f"URL: {state.current_url}")         # Current page URL
+```
+
+## Configuration
+
+Environment variables:
+
+### Common Settings
+- `BROWSERGYM_BENCHMARK`: Benchmark to use (`miniwob`, `webarena`, `visualwebarena`, `workarena`)
+- `BROWSERGYM_TASK_NAME`: Specific task name (optional, will use first available if not set)
+- `BROWSERGYM_HEADLESS`: Run browser in headless mode (default: `true`)
+- `BROWSERGYM_VIEWPORT_WIDTH`: Browser viewport width (default: `1280`)
+- `BROWSERGYM_VIEWPORT_HEIGHT`: Browser viewport height (default: `720`)
+- `BROWSERGYM_TIMEOUT`: Action timeout in milliseconds (default: `10000`)
+
+### WebArena-Specific (only needed for WebArena benchmark)
+- `SHOPPING`: Shopping website URL
+- `SHOPPING_ADMIN`: Shopping admin panel URL
+- `REDDIT`: Reddit-like forum URL
+- `GITLAB`: GitLab instance URL
+- `MAP`: Map service URL
+- `WIKIPEDIA`: Wikipedia instance URL
+- `HOMEPAGE`: Homepage URL
+
+## Supported Benchmarks
+
+### 1. MiniWoB++ (Training) ✅ Recommended for Training
+
+- **100+ tasks** ranging from simple (click buttons) to complex (form filling, navigation)
+- **Fast**: Instant resets, quick episodes
+- **Randomized**: Task variations for generalization
+- **No setup**: Works out-of-the-box
+- **Dense rewards**: Immediate feedback for learning
+
+**Use Case**: Train agents on fundamental web navigation skills
+
+### 2. WebArena (Evaluation) 📊 Benchmark
+
+- **812 realistic tasks** across 6 websites
+- **Complex**: Multi-step reasoning, real web interfaces
+- **Requires setup**: Need to run 7 backend services
+- **Sparse rewards**: Binary success/failure
+- **Evaluation-focused**: Test real-world performance
+
+**Use Case**: Evaluate agents on realistic web tasks
+
+### 3. VisualWebArena (Evaluation) 👁️ Visual Benchmark
+
+- **910 tasks** requiring visual understanding
+- **Multimodal**: Both text and visual observations
+- **Requires setup**: Similar to WebArena
+- **Challenging**: Requires visual reasoning
+
+**Use Case**: Test visual web navigation capabilities
+
+### 4. WorkArena (Evaluation) 💼 Enterprise Benchmark
+
+- **Enterprise tasks**: CRM, project management, etc.
+- **Realistic workflows**: Real enterprise software
+- **Requires setup**: Enterprise software instances
+
+**Use Case**: Evaluate on business automation tasks
+
+## Typical Training Pipeline
+
+```python
+from envs.browsergym_env import BrowserGymEnv, BrowserGymAction
+
+# Stage 1: Train on MiniWoB (simple tasks, fast)
+train_env = BrowserGymEnv.from_docker_image(
+    "browsergym-env:latest",
+    environment={
+        "BROWSERGYM_BENCHMARK": "miniwob",
+        "BROWSERGYM_TASK_NAME": "click-button",
+    }
+)
+
+# Train your agent (RL, imitation learning, etc.)
+agent.train(train_env, num_episodes=10000)
+train_env.close()
+
+# Stage 2: Evaluate on WebArena (complex tasks, realistic)
+eval_env = BrowserGymEnv.from_docker_image(
+    "browsergym-env:latest",
+    environment={
+        "BROWSERGYM_BENCHMARK": "webarena",
+        "BROWSERGYM_TASK_NAME": "0",
+        # ... WebArena URLs
+    }
+)
+
+# Test performance
+success_rate = agent.evaluate(eval_env, num_tasks=812)
+print(f"WebArena Success Rate: {success_rate:.2%}")
+eval_env.close()
+```
+
+## Development & Testing
+
+### Running Tests
+
+```bash
+# From the OpenEnv repository root
+pytest tests/envs/test_browsergym_env.py
+```
+
+### Local Development
+
+```bash
+# Install in development mode
+cd /path/to/OpenEnv
+pip install -e .
+
+# Install BrowserGym
+pip install browsergym browsergym-miniwob browsergym-webarena
+
+# Run the server locally
+cd src/envs/browsergym_env/server
+export BROWSERGYM_BENCHMARK=miniwob
+export BROWSERGYM_TASK_NAME=click-test
+python app.py
+```
+
+## Project Structure
+
+```
+browsergym_env/
+├── __init__.py              # Module exports
+├── models.py                # Action, Observation, State dataclasses
+├── client.py                # HTTPEnvClient implementation
+├── README.md                # This file
+└── server/
+    ├── __init__.py
+    ├── app.py               # FastAPI application
+    ├── browsergym_environment.py  # Environment implementation
+    ├── Dockerfile           # Container specification
+    └── requirements.txt     # Python dependencies
+```
+
+## References
+
+- [BrowserGym GitHub](https://github.com/ServiceNow/BrowserGym)
+- [MiniWoB++ Paper](https://arxiv.org/abs/1802.08802)
+- [WebArena Paper](https://arxiv.org/abs/2307.13854)
+- [WebArena Website](https://webarena.dev/)
+- [VisualWebArena Paper](https://jykoh.com/vwa)
+- [OpenEnv Documentation](https://github.com/openenv/openenv)

src/envs/browsergym_env/__init__.py

@@ -0,0 +1,72 @@
+"""BrowserGym Environment for OpenEnv.
+
+BrowserGym is a unified framework for web-based agent tasks that provides
+access to multiple benchmarks under a single Gymnasium-compatible API.
+
+Included Benchmarks:
+- **MiniWoB++**: 100+ simple web tasks for training (no external infrastructure!)
+- **WebArena**: 812 realistic evaluation tasks (requires backend setup)
+- **VisualWebArena**: Visual web navigation tasks
+- **WorkArena**: Enterprise task automation
+
+Key Features:
+- Unified API across all benchmarks
+- Gymnasium-compatible interface
+- Support for multiple observation types (text, visual, DOM)
+- Action spaces for natural language commands
+- Perfect for training (MiniWoB) and evaluation (WebArena)
+
+Training Example (MiniWoB - works immediately):
+    ```python
+    from envs.browsergym_env import BrowserGymEnv, BrowserGymAction
+
+    # Create training environment - no backend setup needed!
+    env = BrowserGymEnv.from_docker_image(
+        "browsergym-env:latest",
+        environment={
+            "BROWSERGYM_BENCHMARK": "miniwob",
+            "BROWSERGYM_TASK_NAME": "click-test",
+        }
+    )
+
+    # Train your agent
+    for episode in range(1000):
+        result = env.reset()
+        while not result.done:
+            action = agent.get_action(result.observation)
+            result = env.step(action)
+
+    env.close()
+    ```
+
+Evaluation Example (WebArena - requires backend):
+    ```python
+    from envs.browsergym_env import BrowserGymEnv, BrowserGymAction
+
+    # Create evaluation environment
+    env = BrowserGymEnv.from_docker_image(
+        "browsergym-env:latest",
+        environment={
+            "BROWSERGYM_BENCHMARK": "webarena",
+            "BROWSERGYM_TASK_NAME": "0",
+            "SHOPPING": "http://your-server:7770",
+            # ... other backend URLs
+        }
+    )
+
+    # Evaluate your trained agent
+    result = env.reset()
+    # ... run evaluation
+    env.close()
+    ```
+"""
+
+from .client import BrowserGymEnv
+from .models import BrowserGymAction, BrowserGymObservation, BrowserGymState
+
+__all__ = [
+    "BrowserGymEnv",
+    "BrowserGymAction",
+    "BrowserGymObservation",
+    "BrowserGymState",
+]

src/envs/browsergym_env/client.py

@@ -0,0 +1,123 @@
+"""HTTP client for the BrowserGym environment."""
+
+from typing import Any, Dict
+
+from core.http_env_client import HTTPEnvClient, StepResult
+from envs.browsergym_env.models import (
+    BrowserGymAction,
+    BrowserGymObservation,
+    BrowserGymState,
+)
+
+
+class BrowserGymEnv(HTTPEnvClient[BrowserGymAction, BrowserGymObservation]):
+    """Client for interacting with the BrowserGym environment over HTTP.
+
+    BrowserGym provides unified access to multiple web navigation benchmarks:
+    - MiniWoB++: 100+ training tasks (no external infrastructure needed!)
+    - WebArena: 812 evaluation tasks (requires backend setup)
+    - VisualWebArena: Visual navigation tasks
+    - WorkArena: Enterprise automation tasks
+
+    Example usage for TRAINING (MiniWoB - works out of the box):
+        ```python
+        from envs.browsergym_env import BrowserGymEnv, BrowserGymAction
+
+        # Create environment for MiniWoB training task
+        env = BrowserGymEnv.from_docker_image(
+            "browsergym-env:latest",
+            environment={
+                "BROWSERGYM_BENCHMARK": "miniwob",
+                "BROWSERGYM_TASK_NAME": "click-test",
+            }
+        )
+
+        # Reset and get initial observation
+        result = env.reset()
+        print(f"Task: {result.observation.goal}")
+        print(f"Page: {result.observation.text[:200]}")
+
+        # Take actions
+        action = BrowserGymAction(action_str="click('Submit button')")
+        result = env.step(action)
+        print(f"Reward: {result.reward}")
+        print(f"Done: {result.done}")
+
+        env.close()
+        ```
+
+    Example usage for EVALUATION (WebArena - requires backend):
+        ```python
+        from envs.browsergym_env import BrowserGymEnv, BrowserGymAction
+
+        # Create environment for WebArena evaluation
+        env = BrowserGymEnv.from_docker_image(
+            "browsergym-env:latest",
+            environment={
+                "BROWSERGYM_BENCHMARK": "webarena",
+                "BROWSERGYM_TASK_NAME": "0",  # Task 0
+                # WebArena backend URLs
+                "SHOPPING": "http://your-server:7770",
+                "GITLAB": "http://your-server:8023",
+                # ... other URLs
+            }
+        )
+
+        result = env.reset()
+        # ... interact with environment
+        env.close()
+        ```
+
+    Available benchmarks:
+        - miniwob: MiniWoB++ tasks (training, no setup required)
+        - webarena: WebArena tasks (evaluation, requires backend)
+        - visualwebarena: Visual WebArena tasks (evaluation, requires backend)
+        - workarena: WorkArena tasks (evaluation, requires backend)
+    """
+
+    def _step_payload(self, action: BrowserGymAction) -> Dict[str, Any]:
+        """Convert a BrowserGymAction to the JSON payload for the server."""
+        return {
+            "action_str": action.action_str,
+            "metadata": action.metadata,
+        }
+
+    def _parse_result(
+        self, payload: Dict[str, Any]
+    ) -> StepResult[BrowserGymObservation]:
+        """Parse the server response into a StepResult."""
+        obs_data = payload.get("observation", {})
+
+        observation = BrowserGymObservation(
+            text=obs_data.get("text", ""),
+            url=obs_data.get("url", ""),
+            screenshot=obs_data.get("screenshot"),
+            goal=obs_data.get("goal", ""),
+            axtree_txt=obs_data.get("axtree_txt", ""),
+            pruned_html=obs_data.get("pruned_html", ""),
+            error=obs_data.get("error", ""),
+            last_action_error=obs_data.get("last_action_error", False),
+            done=payload.get("done", False),
+            reward=payload.get("reward"),
+            metadata=obs_data.get("metadata", {}),
+        )
+
+        return StepResult(
+            observation=observation,
+            reward=payload.get("reward"),
+            done=payload.get("done", False),
+        )
+
+    def _parse_state(self, payload: Dict[str, Any]) -> BrowserGymState:
+        """Parse the server state response into a BrowserGymState object."""
+        return BrowserGymState(
+            episode_id=payload.get("episode_id"),
+            step_count=payload.get("step_count", 0),
+            benchmark=payload.get("benchmark", ""),
+            task_name=payload.get("task_name", ""),
+            task_id=payload.get("task_id"),
+            goal=payload.get("goal", ""),
+            current_url=payload.get("current_url", ""),
+            max_steps=payload.get("max_steps"),
+            cum_reward=payload.get("cum_reward", 0.0),
+        )

src/envs/browsergym_env/models.py

@@ -0,0 +1,92 @@
+"""Data models for the BrowserGym environment.
+
+BrowserGym is a unified framework for web-based agent tasks, combining multiple
+benchmarks including MiniWoB (training), WebArena (evaluation), VisualWebArena,
+and more under a single Gymnasium-compatible API.
+"""
+
+from dataclasses import dataclass
+from typing import List, Optional
+
+from core.env_server.types import Action, Observation, State
+
+
+@dataclass(kw_only=True)
+class BrowserGymAction(Action):
+    """Action to be executed in the BrowserGym environment.
+
+    BrowserGym supports high-level natural language actions that can be parsed
+    into browser operations.
+
+    Example actions:
+    - "click('Submit button')"
+    - "fill('username', '[email protected]')"
+    - "goto('https://example.com')"
+    - "scroll(down)"
+    - "send_keys('Enter')"
+    """
+
+    action_str: str
+    """Natural language action string (e.g., "click('Submit')")"""
+
+
+@dataclass(kw_only=True)
+class BrowserGymObservation(Observation):
+    """Observation returned from the BrowserGym environment.
+
+    Contains multiple observation modalities including text (accessibility tree
+    or DOM), visual (screenshot), and page metadata.
+    """
+
+    text: str = ""
+    """Text representation of the page (accessibility tree or DOM)"""
+
+    url: str = ""
+    """Current URL of the page"""
+
+    screenshot: Optional[List[List[List[int]]]] = None
+    """Screenshot as numpy array [height, width, channels] (if visual observation enabled)"""
+
+    goal: str = ""
+    """Task goal/instruction for the current episode"""
+
+    axtree_txt: str = ""
+    """Full accessibility tree as text"""
+
+    pruned_html: str = ""
+    """Pruned HTML content (interactive elements only)"""
+
+    error: str = ""
+    """Error message if action execution failed"""
+
+    last_action_error: bool = False
+    """Whether the last action resulted in an error"""
+
+
+@dataclass
+class BrowserGymState(State):
+    """State of the BrowserGym environment.
+
+    Tracks the current benchmark, task, and progress through an episode.
+    """
+
+    benchmark: str = ""
+    """Benchmark name (e.g., 'miniwob', 'webarena', 'visualwebarena')"""
+
+    task_name: str = ""
+    """Specific task within the benchmark (e.g., 'click-test', 'click-button')"""
+
+    task_id: Optional[str] = None
+    """Task ID for evaluation benchmarks (e.g., WebArena task number)"""
+
+    goal: str = ""
+    """Task goal/instruction"""
+
+    current_url: str = ""
+    """Current URL of the active page"""
+
+    max_steps: Optional[int] = None
+    """Maximum steps allowed for this task"""
+
+    cum_reward: float = 0.0
+    """Cumulative reward for the current episode"""

src/envs/browsergym_env/server/Dockerfile

@@ -0,0 +1,69 @@
+ARG BASE_IMAGE=openenv-base:latest
+FROM ${BASE_IMAGE}
+
+# Install system dependencies for Playwright and browsers
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    # Playwright browser dependencies
+    libnss3 \
+    libnspr4 \
+    libatk1.0-0 \
+    libatk-bridge2.0-0 \
+    libcups2 \
+    libdrm2 \
+    libdbus-1-3 \
+    libxkbcommon0 \
+    libatspi2.0-0 \
+    libxcomposite1 \
+    libxdamage1 \
+    libxfixes3 \
+    libxrandr2 \
+    libgbm1 \
+    libpango-1.0-0 \
+    libcairo2 \
+    libasound2 \
+    libxshmfence1 \
+    # Additional dependencies
+    git \
+    wget \
+    && rm -rf /var/lib/apt/lists/*
+
+# Install BrowserGym and related packages
+COPY src/envs/browsergym_env/server/requirements.txt /tmp/browsergym_requirements.txt
+RUN pip install --no-cache-dir -r /tmp/browsergym_requirements.txt && \
+    rm /tmp/browsergym_requirements.txt
+
+# Install Playwright browsers (Chromium by default)
+RUN playwright install chromium && \
+    playwright install-deps chromium
+
+# Copy OpenEnv core and browsergym_env code
+WORKDIR /app
+COPY src/core/ /app/src/core/
+COPY src/envs/browsergym_env/ /app/src/envs/browsergym_env/
+COPY src/envs/browsergym_env/README.md /app/README.md
+
+# Set environment variables
+ENV PYTHONPATH=/app/src
+ENV PYTHONUNBUFFERED=1
+ENV BROWSERGYM_BENCHMARK=miniwob
+ENV BROWSERGYM_TASK_NAME=""
+ENV BROWSERGYM_HEADLESS=true
+ENV BROWSERGYM_VIEWPORT_WIDTH=1280
+ENV BROWSERGYM_VIEWPORT_HEIGHT=720
+ENV BROWSERGYM_TIMEOUT=10000
+
+# For WebArena tasks, these should be set by the user when running the container:
+# ENV SHOPPING=
+# ENV SHOPPING_ADMIN=
+# ENV REDDIT=
+# ENV GITLAB=
+# ENV MAP=
+# ENV WIKIPEDIA=
+# ENV HOMEPAGE=
+
+EXPOSE 8000
+
+HEALTHCHECK --interval=30s --timeout=3s --start-period=10s --retries=3 \
+    CMD curl -f http://localhost:8000/health || exit 1
+
+CMD ["uvicorn", "envs.browsergym_env.server.app:app", "--host", "0.0.0.0", "--port", "8000"]

src/envs/browsergym_env/server/__init__.py

@@ -0,0 +1 @@
+"""BrowserGym environment server module."""

src/envs/browsergym_env/server/app.py

@@ -0,0 +1,41 @@
+"""FastAPI server for the BrowserGym environment."""
+
+import os
+
+from core.env_server.http_server import create_app
+from envs.browsergym_env.models import (
+    BrowserGymAction,
+    BrowserGymObservation,
+)
+from envs.browsergym_env.server.browsergym_environment import BrowserGymEnvironment
+
+# Get configuration from environment variables
+benchmark = os.environ.get("BROWSERGYM_BENCHMARK", "miniwob")
+task_name = os.environ.get("BROWSERGYM_TASK_NAME")  # Optional, can be None
+headless = os.environ.get("BROWSERGYM_HEADLESS", "true").lower() == "true"
+viewport_width = int(os.environ.get("BROWSERGYM_VIEWPORT_WIDTH", "1280"))
+viewport_height = int(os.environ.get("BROWSERGYM_VIEWPORT_HEIGHT", "720"))
+timeout = float(os.environ.get("BROWSERGYM_TIMEOUT", "10000"))
+
+# Create the environment instance
+env = BrowserGymEnvironment(
+    benchmark=benchmark,
+    task_name=task_name,
+    headless=headless,
+    viewport_width=viewport_width,
+    viewport_height=viewport_height,
+    timeout=timeout,
+)
+
+# Create the FastAPI app
+app = create_app(
+    env,
+    BrowserGymAction,
+    BrowserGymObservation,
+    env_name="browsergym_env",
+)
+
+if __name__ == "__main__":
+    import uvicorn
+
+    uvicorn.run(app, host="0.0.0.0", port=8000)

src/envs/browsergym_env/server/browsergym_environment.py

@@ -0,0 +1,251 @@
+"""BrowserGym Environment implementation for OpenEnv.
+
+This module wraps the BrowserGym framework to provide a compatible interface
+with OpenEnv's Environment ABC. BrowserGym includes multiple benchmarks:
+- MiniWoB++: Training environment with 100+ simple web tasks
+- WebArena: Realistic evaluation with 812 complex tasks
+- VisualWebArena: Visual web navigation tasks
+- WorkArena: Enterprise task automation
+"""
+
+from typing import Any, Dict, Optional
+from uuid import uuid4
+
+import gymnasium as gym
+
+from core.env_server.interfaces import Environment
+from envs.browsergym_env.models import (
+    BrowserGymAction,
+    BrowserGymObservation,
+    BrowserGymState,
+)
+
+
+class BrowserGymEnvironment(Environment):
+    """BrowserGym environment wrapper for OpenEnv.
+
+    This environment wraps BrowserGym's Gymnasium-compatible environments to
+    provide unified access to multiple web navigation benchmarks.
+    """
+
+    def __init__(
+        self,
+        benchmark: str = "miniwob",
+        task_name: Optional[str] = None,
+        headless: bool = True,
+        viewport_width: int = 1280,
+        viewport_height: int = 720,
+        timeout: float = 10000.0,
+        **gym_kwargs: Any,
+    ):
+        """Initialize the BrowserGym environment.
+
+        Args:
+            benchmark: Benchmark to use ('miniwob', 'webarena', 'visualwebarena', etc.)
+            task_name: Specific task within the benchmark (e.g., 'click-test', 'click-button')
+                      If None, will use first available task
+            headless: Whether to run browser in headless mode
+            viewport_width: Browser viewport width
+            viewport_height: Browser viewport height
+            timeout: Action timeout in milliseconds
+            **gym_kwargs: Additional arguments passed to gym.make()
+        """
+        super().__init__()
+
+        self.benchmark = benchmark
+        self.task_name = task_name
+        self.headless = headless
+        self.viewport_width = viewport_width
+        self.viewport_height = viewport_height
+        self.timeout = timeout
+        self.gym_kwargs = gym_kwargs
+
+        # Build environment ID
+        if task_name:
+            self.env_id = f"browsergym/{benchmark}.{task_name}"
+        else:
+            self.env_id = f"browsergym/{benchmark}"
+
+        # Create the BrowserGym environment
+        try:
+            self.gym_env = gym.make(
+                self.env_id,
+                headless=headless,
+                viewport={"width": viewport_width, "height": viewport_height},
+                timeout=timeout,
+                **gym_kwargs,
+            )
+        except Exception as e:
+            raise ValueError(
+                f"Failed to create BrowserGym environment '{self.env_id}': {e}\n"
+                f"Make sure the benchmark is installed (e.g., pip install browsergym-{benchmark})"
+            )
+
+        # State tracking
+        self._state = BrowserGymState(
+            episode_id=str(uuid4()),
+            step_count=0,
+            benchmark=benchmark,
+            task_name=task_name or "",
+        )
+
+        self._last_obs: Optional[Dict[str, Any]] = None
+        self._last_info: Optional[Dict[str, Any]] = None
+
+    def reset(
+        self,
+        seed: Optional[int] = None,
+        task_name: Optional[str] = None,
+    ) -> BrowserGymObservation:
+        """Reset the environment with a specific task.
+
+        Args:
+            seed: Random seed for reproducibility
+            task_name: Override task name for this episode
+
+        Returns:
+            Initial observation for the task
+        """
+        # Generate new episode ID
+        self._state = BrowserGymState(
+            episode_id=str(uuid4()),
+            step_count=0,
+            benchmark=self.benchmark,
+            task_name=task_name or self.task_name or "",
+        )
+
+        # Reset options
+        reset_options = {}
+        if seed is not None:
+            reset_options["seed"] = seed
+
+        # Reset the gym environment
+        obs, info = self.gym_env.reset(**reset_options)
+
+        self._last_obs = obs
+        self._last_info = info
+
+        # Extract observation details
+        return self._create_observation(obs, info, done=False, reward=0.0)
+
+    def step(self, action: BrowserGymAction) -> BrowserGymObservation:
+        """Execute an action in the environment.
+
+        Args:
+            action: The action to execute
+
+        Returns:
+            Observation after executing the action
+        """
+        self._state.step_count += 1
+
+        # Execute action in gym environment
+        try:
+            obs, reward, terminated, truncated, info = self.gym_env.step(
+                action.action_str
+            )
+
+            self._last_obs = obs
+            self._last_info = info
+
+            # Update state
+            done = terminated or truncated
+            self._state.cum_reward += float(reward)
+
+            # Extract goal from info if available
+            if "goal" in info:
+                self._state.goal = str(info["goal"])
+
+            return self._create_observation(obs, info, done=done, reward=float(reward))
+
+        except Exception as e:
+            # Handle action execution errors
+            error_msg = str(e)
+            return BrowserGymObservation(
+                text=self._last_obs.get("text", "") if self._last_obs else "",
+                url=self._last_obs.get("url", "") if self._last_obs else "",
+                goal=self._state.goal,
+                error=error_msg,
+                last_action_error=True,
+                done=False,
+                reward=0.0,
+            )
+
+    def _create_observation(
+        self,
+        obs: Dict[str, Any],
+        info: Dict[str, Any],
+        done: bool,
+        reward: float,
+    ) -> BrowserGymObservation:
+        """Convert BrowserGym observation to OpenEnv format.
+
+        Args:
+            obs: BrowserGym observation dict
+            info: BrowserGym info dict
+            done: Whether episode is done
+            reward: Reward for the step
+
+        Returns:
+            BrowserGymObservation
+        """
+        # Extract text observation (could be AXTree, DOM, or other)
+        text = ""
+        if "axtree_txt" in obs:
+            text = obs["axtree_txt"]
+        elif "pruned_html" in obs:
+            text = obs["pruned_html"]
+        elif "dom_txt" in obs:
+            text = obs["dom_txt"]
+        elif isinstance(obs, str):
+            text = obs
+
+        # Extract URL
+        url = info.get("url", "")
+        if not url and "page" in info:
+            url = info["page"].get("url", "")
+
+        # Extract goal/instruction
+        goal = info.get("goal", "")
+        if not goal and "task" in info:
+            goal = info["task"].get("goal", "")
+
+        # Update state
+        self._state.current_url = url
+        self._state.goal = goal
+
+        # Extract additional observation modalities
+        screenshot = obs.get("screenshot") if isinstance(obs, dict) else None
+        axtree_txt = obs.get("axtree_txt", "") if isinstance(obs, dict) else ""
+        pruned_html = obs.get("pruned_html", "") if isinstance(obs, dict) else ""
+
+        # Store full BrowserGym observation and info in metadata
+        # This preserves timestamps, additional fields, and any future extensions
+        browsergym_metadata = {
+            "browsergym_obs": obs if isinstance(obs, dict) else {},
+            "browsergym_info": info,
+        }
+
+        return BrowserGymObservation(
+            text=text,
+            url=url,
+            screenshot=screenshot,
+            goal=goal,
+            axtree_txt=axtree_txt,
+            pruned_html=pruned_html,
+            error="",
+            last_action_error=False,
+            done=done,
+            reward=reward,
+            metadata=browsergym_metadata,
+        )
+
+    @property
+    def state(self) -> BrowserGymState:
+        """Get the current environment state."""
+        return self._state
+
+    def close(self) -> None:
+        """Clean up environment resources."""
+        if hasattr(self, "gym_env"):
+            self.gym_env.close()

src/envs/browsergym_env/server/requirements.txt

@@ -0,0 +1,7 @@
+browsergym>=0.2.0
+browsergym-core>=0.2.0
+browsergym-miniwob>=0.2.0
+browsergym-webarena>=0.2.0
+gymnasium>=0.29.0
+playwright>=1.40.0
+Pillow>=10.0.0