Reorganize community environments - Move lean_proof_env, router_env, and philosophical_rlaif_env.py to environments/community/ - Add comprehensive README for community environments - This organizes community-contributed environments into a dedicated community folder for better maintainability and discoverability

environments/community/README.md

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+# Community Environments
+
+This directory contains environments contributed by the community. These environments demonstrate various use cases and extensions of the Atropos framework.
+
+## Available Environments
+
+### 1. Lean Proof Environment (`lean_proof_env/`)
+**Author**: GabinFay  
+**Purpose**: Testing Language Learning Models (LLMs) on Lean theorem proving tasks
+
+A comprehensive environment for evaluating LLMs on formal mathematical reasoning using the Lean theorem prover. Features include:
+- Support for custom problem datasets or MiniF2F benchmark
+- Integration with Lean 4 theorem prover
+- Configurable difficulty levels and problem sets
+- Automated proof validation
+
+**Requirements**: Lean 4 installation, OpenAI API key
+
+### 2. Router Environment (`router_env/`)
+**Author**: GabinFay  
+**Purpose**: Multi-agent routing and coordination system
+
+A sophisticated environment for testing agent routing and coordination capabilities. Includes:
+- Multiple specialized agents (calendar, contact, Gmail, telephony, etc.)
+- Model Contextualized Protocol (MCP) tools integration
+- Spotify, Google Maps, and Perplexity integrations
+- Complex multi-turn conversation handling
+
+**Features**:
+- Telephony agent with inbound/outbound call handling
+- Calendar and contact management
+- Memory and calculation agents
+- Router agent for intelligent task delegation
+
+### 3. Philosophical RLAIF Environment (`philosophical_rlaif_env.py`)
+**Author**: GabinFay  
+**Purpose**: Reinforcement Learning from AI Feedback (RLAIF) for philosophical reasoning
+
+An environment focused on training models for deep philosophical inquiry and reasoning. Features:
+- Deep thinking prompts with systematic reasoning processes
+- Preference learning for philosophical depth and nuance
+- Multi-perspective analysis and assumption questioning
+- Evaluation of response quality for philosophical discussions
+
+**Capabilities**:
+- Generates paired responses for preference comparison
+- Uses judge models to evaluate philosophical depth
+- Tracks preference consistency and reasoning quality
+- Supports WandB logging for training insights
+
+## Contributing
+
+To contribute a new environment to the community collection:
+
+1. **Fork the repository** and create a new branch
+2. **Add your environment** to this `community/` directory
+3. **Include comprehensive documentation**:
+   - README with setup instructions
+   - Requirements file for dependencies
+   - Example usage and configuration
+4. **Follow naming conventions**:
+   - Use descriptive directory names for complex environments
+   - Single file environments should have descriptive names
+5. **Test thoroughly** before submitting
+6. **Submit a pull request** with a clear description
+
+## Environment Standards
+
+Community environments should:
+- Include clear documentation and setup instructions
+- Specify all dependencies in requirements files
+- Provide example configurations and usage
+- Follow the AtroposBaseEnv pattern for consistency
+- Include appropriate error handling and validation
+
+## Support
+
+For questions or issues with community environments:
+- Check the individual environment's README first
+- Open an issue in the main repository
+- Tag the environment author if possible
+
+---
+
+*These environments are community contributions and may have different maintenance levels and support compared to core Atropos environments.*