- Corrected initialization issues in `math_server.py` and `calc_server.py`
- Improved response formatting and delivery in `multi_server_test.py`
- Resolved issue where agent output showed raw stream wrapper instead of actual response
- Improved clarity and readability of agent responses in `multi_server_test.py`
- Added a dedicated function to format multi-agent outputs consistently
- Updated all agents in `multi_server_test.py` to explicitly define model name
- Eliminated LiteLLM fallback warnings during runtime
- Ensured proper agent responses in multi-agent MCP test environment
- Resolved model selection warnings by specifying 'gpt-4o-mini'
- Ensured agents explicitly define model name to avoid default fallbacks
- Improves clarity and consistency in agent–MCP server communication
- Created `multi_server_test.py` to test coordination across agents and servers
- Added `calc_server.py` for handling computation requests
- Referenced swarms-rs Rust architecture for Python-based design structure
Pavan Kumar