swarms

Commit Graph

Author	SHA1	Message	Date
Pavan Kumar	3da7bd6381	fix: resolve MCP server response handling and LiteLLM output issues - Fixed improper LiteLLM output rendering in Super-Calculator agent - Updated `math_server.py`, `calc_server.py`, and `multi_server_test.py` for correct response formatting - Verified request routing and MCP integration with agent structures	2 weeks ago
Pavan Kumar	885a50c985	fix: debug MCP server setup and enhance response handling logic - 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	2 weeks ago
Pavan Kumar	a877cc8a47	style: enhance output formatting in multi-agent architecture - Improved clarity and readability of agent responses in `multi_server_test.py` - Added a dedicated function to format multi-agent outputs consistently	2 weeks ago
Pavan Kumar	9faf83b83b	fix: set model_name='gpt-4o-mini' for all agents to suppress warnings - 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	2 weeks ago
Pavan Kumar	db3746131b	chore: set explicit model configuration for all agents - 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	2 weeks ago
Pavan Kumar	a64dab83f2	feat: implement multi-agent MCP system with multiple server instances - 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	2 weeks ago

6 Commits (f07ca75418394c30e846042cecc0eedb2abd7466)