swarms

Commit Graph

Author	SHA1	Message	Date
Pavan Kumar	50a11f3fd6	fix: correct MathAgent initialization by removing extra argument - Resolved TypeError due to passing 4 arguments to a 3-parameter constructor - Updated instantiation logic in `mock_multi_agent.py` to restore runtime functionality	2 days ago
Pavan Kumar	0f787debaa	feat: add stock market analysis agent and corresponding server - Implemented `mock_stock_server.py` to handle stock-related computations - Added a stock analysis agent in `mock_multi_agent.py` to process financial queries - Updated `.replit` configuration to support new server integration	2 days ago
DP37	80146d875c	docs: refine math agent system prompt to clarify capabilities and limitations - Updated `system_prompt` in `mock_multi_agent.py` to guide user expectations - Clearly stated supported operations and how agent should respond to capability questions	2 days ago
Pavan Kumar	40cd5248d8	fix: align math server tools and agent prompt with available capabilities - Updated system prompt in `mock_multi_agent.py` to reflect only supported tools - Added error handling in `mock_math_server.py` to reject unsupported operations - Ensured agent behavior stays within defined context and MCP protocol limits	2 days ago
Pavan Kumar	94363755db	fix: update mock multi-agent system to route requests to single calculator agent - Modified `mock_multi_agent.py` to avoid duplicate responses from multiple calculators - Integrated logic using `agent.py` and `mcp_integration.py` for proper agent-tool mapping - Updated output formatting and response control for clearer user experience	2 days ago
Pavan Kumar	3899a22c97	fix: correct MCP agent response handling and model configuration - Set `gpt-4o-mini` explicitly as model to ensure consistent responses - Fixed agent configuration and response parsing in `mock_multi_agent.py` - Updated `mock_math_server.py` and `.replit` config for accurate debugging and logging	2 days ago
Pavan Kumar	a8ad884d27	feat: implement mock MCP server and multi-agent system with full integration flow - Created `mock_math_server.py` to simulate MCP server behavior - Developed `mock_multi_agent.py` to orchestrate agent–server interaction - Added `mock_integration_test.py` to validate end-to-end data flow - Ensured user input → server request → agent processing → user output pipeline	2 days ago

7 Commits (50a11f3fd6fb802a45af3dd4c36600825e70acf9)