Migrated the VM container to initialize from docker-compose instead of within infant agent

.dockerignore

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+# Git files
+.git
+.gitignore
+.gitattributes
+
+# Python cache
+__pycache__/
+*.py[cod]
+*$py.class
+*.so
+.Python
+*.egg-info/
+dist/
+build/
+*.egg
+
+# Virtual environments
+.venv/
+venv/
+ENV/
+env/
+
+# IDE
+.vscode/
+.idea/
+*.swp
+*.swo
+*~
+
+# OS files
+.DS_Store
+Thumbs.db
+
+# Workspace and cache (will be mounted as volumes)
+workspace/
+cache/
+
+# Documentation and examples
+README.md
+LICENSE
+asset/
+examples/
+evaluation/
+
+# Docker files themselves
+Dockerfile
+docker-compose.yaml
+.dockerignore
+
+# Logs
+*.log
+logs/
+
+# Test files
+tests/
+*.test
+.pytest_cache/
+.coverage
+htmlcov/
+
+# Temporary files
+tmp/
+temp/
+*.tmp

.env.example

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+# InfantAgent Environment Configuration
+# Copy this file to .env and fill in your values
+
+# Required: Anthropic API Key
+# Get your key from: https://console.anthropic.com/
+ANTHROPIC_API_KEY=your_anthropic_api_key_here
+
+# Optional: Hugging Face Token (for downloading UI-TARS model)
+# Get your token from: https://huggingface.co/settings/tokens
+# Required if the model is gated or for faster downloads
+HF_API_KEY=your_huggingface_token_here
+
+# Optional: Hugging Face cache directory
+# HF_HOME=~/.cache/huggingface
+
+# Optional: GPU Configuration
+# Specify which CUDA devices to use (comma-separated list)
+# Default GPU allocation:
+#   - GPU 0: Computer container (display rendering)
+#   - GPU 2,3: vLLM server (UI-TARS model with tensor parallelism)
+#   - InfantAgent server: Runs on CPU (no GPU needed)
+# Note: Adjust based on your available GPUs
+# CUDA_VISIBLE_DEVICES=0,2,3
+
+# Optional: Computer Container Configuration
+# NVIDIA driver type: Tesla, GeForce, or other
+# NVIDIA_DRIVER=Tesla
+# GPU device(s) visible to the computer container
+# NVIDIA_VISIBLE_DEVICES=0
+# Specific GPU device ID(s) for docker deploy (e.g., '0' or '0,1')
+# NVIDIA_DEVICE_ID=0
+# Render type: gpu or software
+# RENDER_TYPE=gpu
+# User account to create in the container: infant or root
+# CREATE_USER_ACCOUNT=infant
+# Workspace mount path on host (default: ./workspace)
+# WORKSPACE_MOUNT_PATH=./workspace
+# Cache directory on host (default: ./cache)
+# CACHE_DIR=./cache
+
+# Optional: Other API Keys (if using different models)
+# OPENAI_API_KEY=your_openai_key_here
+# GOOGLE_API_KEY=your_google_key_here
+
+# Optional: Custom Model Configuration
+# Uncomment and modify if you want to use different models
+# MODEL=claude-sonnet-4-6
+# MODEL_OSS=ByteDance-Seed/UI-TARS-1.5-7B
+
+# Optional: Agent Configuration
+# MAX_ITERATIONS=100
+# MAX_BUDGET_PER_TASK=20
+# DEBUG=false
+
+# Optional: Network Configuration
+# AGENT_PORT=8000
+# GUI_PORT=4443  # Guacamole web interface port (maps to container's 8080)
+# SSH_PORT=58673  # SSH port for computer container (maps to container's 22)
+
+# Optional: Timezone
+# TZ=America/New_York