MCP Dummy DB Integration

2026-01-25 07:43:43,666 - agents.orchestrator - INFO - Initializing Orchestrator with mock (tinyllama) 2026-01-25 07:43:43,666 - agents.orchestrator - INFO - Processing Query: Fetch employee details where department is AI. 2026-01-25 07:43:43,666 - agents.orchestrator - INFO - [1/3] Planning... 2026-01-25 07:43:43,666 - agents.planner_agent - INFO - Planner analyzing: Fetch employee details where department is AI. 2026-01-25 07:43:43,666 - agents.llm_provider - INFO - Calling Mock Provider (simulating tinyllama)... 2026-01-25 07:43:43,666 - agents.planner_agent - INFO - LLM Response: {"tool": "get_employees_by_department", "parameters": {"department": "AI"}, "reasoning": "User asked for employees in AI department."}... 2026-01-25 07:43:43,666 - agents.planner_agent - INFO - ✅ Plan: {'tool': 'get_employees_by_department', 'parameters': {'department': 'AI'}, 'reasoning': 'User asked for employees in AI department.'} 2026-01-25 07:43:43,666 - agents.orchestrator - INFO - [2/3] Executing... 2026-01-25 07:43:43,666 - agents.executor_agent - INFO - Executing plan: {'tool': 'get_employees_by_department', 'parameters': {'department': 'AI'}, 'reasoning': 'User asked for employees in AI department.'} 2026-01-25 07:43:43,666 - agents.executor_agent - INFO - Tool: get_employees_by_department, Parameters: {'department': 'AI'} 2026-01-25 07:43:43,666 - agents.executor_agent - INFO - Calling tool: get_employees_by_department 2026-01-25 07:43:43,666 - mcp.tools - INFO - Tool called: get_employees_by_department with input=AI 2026-01-25 07:43:43,867 - database.db_executor - INFO - Found 3 employees in AI department 2026-01-25 07:43:43,867 - agents.executor_agent - INFO - ✅ Tool executed successfully, got 3 rows 2026-01-25 07:43:43,867 - agents.orchestrator - INFO - [3/3] 🤔 Reasoning... 2026-01-25 07:43:43,867 - agents.reasoner_agent - INFO - 🤔 Reasoning about results... 2026-01-25 07:43:43,867 - agents.llm_provider - INFO - Calling Mock Provider (simulating tinyllama)... 2026-01-25 07:43:43,867 - agents.reasoner_agent - INFO - ✅ Reasoning complete 2026-01-25 07:43:43,867 - agents.orchestrator - INFO - ✅ Query Processing Complete 2026-01-25 07:43:43,867 - agents.orchestrator - INFO - Processing Query: What are the projects that are in progress? 2026-01-25 07:43:43,867 - agents.orchestrator - INFO - [1/3] Planning... 2026-01-25 07:43:43,867 - agents.planner_agent - INFO - Planner analyzing: What are the projects that are in progress? 2026-01-25 07:43:43,867 - agents.llm_provider - INFO - Calling Mock Provider (simulating tinyllama)... 2026-01-25 07:43:43,867 - agents.planner_agent - INFO - LLM Response: {"tool": "get_projects_by_status", "parameters": {"status": "In Progress"}, "reasoning": "User asked for projects in progress."}... 2026-01-25 07:43:43,875 - agents.planner_agent - INFO - ✅ Plan: {'tool': 'get_projects_by_status', 'parameters': {'status': 'In Progress'}, 'reasoning': 'User asked for projects in progress.'} 2026-01-25 07:43:43,875 - agents.orchestrator - INFO - [2/3] Executing... 2026-01-25 07:43:43,875 - agents.executor_agent - INFO - Executing plan: {'tool': 'get_projects_by_status', 'parameters': {'status': 'In Progress'}, 'reasoning': 'User asked for projects in progress.'} 2026-01-25 07:43:43,875 - agents.executor_agent - INFO - Tool: get_projects_by_status, Parameters: {'status': 'In Progress'} 2026-01-25 07:43:43,876 - agents.executor_agent - INFO - Calling tool: get_projects_by_status 2026-01-25 07:43:43,876 - mcp.tools - INFO - Tool called: get_projects_by_status with input=In Progress 2026-01-25 07:43:43,969 - database.db_executor - INFO - Found 2 projects with status In Progress 2026-01-25 07:43:43,969 - agents.executor_agent - INFO - ✅ Tool executed successfully, got 2 rows 2026-01-25 07:43:43,969 - agents.orchestrator - INFO - [3/3] 🤔 Reasoning... 2026-01-25 07:43:43,969 - agents.reasoner_agent - INFO - 🤔 Reasoning about results... 2026-01-25 07:43:43,969 - agents.llm_provider - INFO - Calling Mock Provider (simulating tinyllama)... 2026-01-25 07:43:43,969 - agents.reasoner_agent - INFO - ✅ Reasoning complete 2026-01-25 07:43:43,969 - agents.orchestrator - INFO - ✅ Query Processing Complete 2026-01-25 07:43:43,969 - agents.orchestrator - INFO - Processing Query: What are the high priority issues? 2026-01-25 07:43:43,969 - agents.orchestrator - INFO - [1/3] Planning... 2026-01-25 07:43:43,969 - agents.planner_agent - INFO - Planner analyzing: What are the high priority issues? 2026-01-25 07:43:43,969 - agents.llm_provider - INFO - Calling Mock Provider (simulating tinyllama)... 2026-01-25 07:43:43,969 - agents.planner_agent - INFO - LLM Response: {"tool": "get_issues_by_priority", "parameters": {"priority": "High"}, "reasoning": "User asked for high priority issues."}... 2026-01-25 07:43:43,969 - agents.planner_agent - INFO - ✅ Plan: {'tool': 'get_issues_by_priority', 'parameters': {'priority': 'High'}, 'reasoning': 'User asked for high priority issues.'} 2026-01-25 07:43:43,969 - agents.orchestrator - INFO - [2/3] Executing... 2026-01-25 07:43:43,969 - agents.executor_agent - INFO - Executing plan: {'tool': 'get_issues_by_priority', 'parameters': {'priority': 'High'}, 'reasoning': 'User asked for high priority issues.'} 2026-01-25 07:43:43,969 - agents.executor_agent - INFO - Tool: get_issues_by_priority, Parameters: {'priority': 'High'} 2026-01-25 07:43:43,969 - agents.executor_agent - INFO - Calling tool: get_issues_by_priority 2026-01-25 07:43:43,969 - mcp.tools - INFO - Tool called: get_issues_by_priority with input=High 2026-01-25 07:43:44,082 - database.db_executor - INFO - Found 2 issues with priority High 2026-01-25 07:43:44,082 - agents.executor_agent - INFO - ✅ Tool executed successfully, got 2 rows 2026-01-25 07:43:44,082 - agents.orchestrator - INFO - [3/3] 🤔 Reasoning... 2026-01-25 07:43:44,082 - agents.reasoner_agent - INFO - 🤔 Reasoning about results... 2026-01-25 07:43:44,082 - agents.llm_provider - INFO - Calling Mock Provider (simulating tinyllama)... 2026-01-25 07:43:44,082 - agents.reasoner_agent - INFO - ✅ Reasoning complete 2026-01-25 07:43:44,082 - agents.orchestrator - INFO - ✅ Query Processing Complete 2026-01-25 07:43:44,082 - agents.orchestrator - INFO - Processing Query: What are the completed projects? 2026-01-25 07:43:44,082 - agents.orchestrator - INFO - [1/3] Planning... 2026-01-25 07:43:44,085 - agents.planner_agent - INFO - Planner analyzing: What are the completed projects? 2026-01-25 07:43:44,085 - agents.llm_provider - INFO - Calling Mock Provider (simulating tinyllama)... 2026-01-25 07:43:44,085 - agents.planner_agent - INFO - LLM Response: {"tool": "get_projects_by_status", "parameters": {"status": "Completed"}, "reasoning": "User asked for completed projects."}... 2026-01-25 07:43:44,085 - agents.planner_agent - INFO - ✅ Plan: {'tool': 'get_projects_by_status', 'parameters': {'status': 'Completed'}, 'reasoning': 'User asked for completed projects.'} 2026-01-25 07:43:44,085 - agents.orchestrator - INFO - [2/3] Executing... 2026-01-25 07:43:44,085 - agents.executor_agent - INFO - Executing plan: {'tool': 'get_projects_by_status', 'parameters': {'status': 'Completed'}, 'reasoning': 'User asked for completed projects.'} 2026-01-25 07:43:44,085 - agents.executor_agent - INFO - Tool: get_projects_by_status, Parameters: {'status': 'Completed'} 2026-01-25 07:43:44,085 - agents.executor_agent - INFO - Calling tool: get_projects_by_status 2026-01-25 07:43:44,085 - mcp.tools - INFO - Tool called: get_projects_by_status with input=Completed 2026-01-25 07:43:44,179 - database.db_executor - INFO - Found 1 projects with status Completed 2026-01-25 07:43:44,179 - agents.executor_agent - INFO - ✅ Tool executed successfully, got 1 rows 2026-01-25 07:43:44,179 - agents.orchestrator - INFO - [3/3] 🤔 Reasoning... 2026-01-25 07:43:44,179 - agents.reasoner_agent - INFO - 🤔 Reasoning about results... 2026-01-25 07:43:44,179 - agents.llm_provider - INFO - Calling Mock Provider (simulating tinyllama)... 2026-01-25 07:43:44,180 - agents.reasoner_agent - INFO - ✅ Reasoning complete 2026-01-25 07:43:44,180 - agents.orchestrator - INFO - ✅ Query Processing Complete 2026-01-25 09:40:03,312 - agents.orchestrator - INFO - Initializing Orchestrator with ollama (mistral) 2026-01-25 09:40:03,313 - agents.orchestrator - INFO - Processing Query: Fetch employee details where department is AI. 2026-01-25 09:40:03,313 - agents.orchestrator - INFO - [1/3] Planning... 2026-01-25 09:40:03,313 - agents.planner_agent - INFO - Planner analyzing: Fetch employee details where department is AI. 2026-01-25 09:40:03,313 - agents.llm_provider - INFO - Calling Ollama (mistral)... 2026-01-25 09:40:06,040 - agents.llm_provider - ERROR - Ollama error: 500 Server Error: Internal Server Error for url: http://localhost:11434/api/generate 2026-01-25 09:40:06,040 - agents.planner_agent - ERROR - Planning failed: 500 Server Error: Internal Server Error for url: http://localhost:11434/api/generate 2026-01-25 09:40:06,040 - agents.orchestrator - ERROR - Planning error: 500 Server Error: Internal Server Error for url: http://localhost:11434/api/generate 2026-01-25 09:40:06,041 - agents.orchestrator - INFO - Processing Query: What are the projects that are in progress? 2026-01-25 09:40:06,041 - agents.orchestrator - INFO - [1/3] Planning... 2026-01-25 09:40:06,041 - agents.planner_agent - INFO - Planner analyzing: What are the projects that are in progress? 2026-01-25 09:40:06,041 - agents.llm_provider - INFO - Calling Ollama (mistral)... 2026-01-25 09:40:08,304 - agents.llm_provider - ERROR - Ollama error: 500 Server Error: Internal Server Error for url: http://localhost:11434/api/generate 2026-01-25 09:40:08,304 - agents.planner_agent - ERROR - Planning failed: 500 Server Error: Internal Server Error for url: http://localhost:11434/api/generate 2026-01-25 09:40:08,304 - agents.orchestrator - ERROR - Planning error: 500 Server Error: Internal Server Error for url: http://localhost:11434/api/generate 2026-01-25 09:40:08,304 - agents.orchestrator - INFO - Processing Query: What are the high priority issues? 2026-01-25 09:40:08,304 - agents.orchestrator - INFO - [1/3] Planning... 2026-01-25 09:40:08,304 - agents.planner_agent - INFO - Planner analyzing: What are the high priority issues? 2026-01-25 09:40:08,305 - agents.llm_provider - INFO - Calling Ollama (mistral)... 2026-01-25 09:40:10,545 - agents.llm_provider - ERROR - Ollama error: 500 Server Error: Internal Server Error for url: http://localhost:11434/api/generate 2026-01-25 09:40:10,545 - agents.planner_agent - ERROR - Planning failed: 500 Server Error: Internal Server Error for url: http://localhost:11434/api/generate 2026-01-25 09:40:10,545 - agents.orchestrator - ERROR - Planning error: 500 Server Error: Internal Server Error for url: http://localhost:11434/api/generate 2026-01-25 09:40:10,548 - agents.orchestrator - INFO - Processing Query: What are the completed projects? 2026-01-25 09:40:10,548 - agents.orchestrator - INFO - [1/3] Planning... 2026-01-25 09:40:10,548 - agents.planner_agent - INFO - Planner analyzing: What are the completed projects? 2026-01-25 09:40:10,548 - agents.llm_provider - INFO - Calling Ollama (mistral)... 2026-01-25 09:40:12,782 - agents.llm_provider - ERROR - Ollama error: 500 Server Error: Internal Server Error for url: http://localhost:11434/api/generate 2026-01-25 09:40:12,782 - agents.planner_agent - ERROR - Planning failed: 500 Server Error: Internal Server Error for url: http://localhost:11434/api/generate 2026-01-25 09:40:12,782 - agents.orchestrator - ERROR - Planning error: 500 Server Error: Internal Server Error for url: http://localhost:11434/api/generate 2026-01-25 09:42:47,065 - agents.orchestrator - INFO - Initializing Orchestrator with ollama (mistral) 2026-01-25 09:42:47,065 - agents.orchestrator - INFO - Processing Query: Fetch employee details where department is AI. 2026-01-25 09:42:47,065 - agents.orchestrator - INFO - [1/3] Planning... 2026-01-25 09:42:47,065 - agents.planner_agent - INFO - Planner analyzing: Fetch employee details where department is AI. 2026-01-25 09:42:47,065 - agents.llm_provider - INFO - Calling Ollama (mistral)... 2026-01-25 09:47:03,527 - agents.orchestrator - INFO - Initializing Orchestrator with ollama (mistral) 2026-01-25 09:47:03,527 - agents.orchestrator - INFO - Processing Query: Fetch employee details where department is AI. 2026-01-25 09:47:03,527 - agents.orchestrator - INFO - [1/3] Planning... 2026-01-25 09:47:03,527 - agents.planner_agent - INFO - Planner analyzing: Fetch employee details where department is AI. 2026-01-25 09:47:03,527 - agents.llm_provider - INFO - Calling Ollama (mistral)... 2026-01-25 09:47:52,254 - agents.orchestrator - INFO - Initializing Orchestrator with mock (tinyllama) 2026-01-25 09:47:52,254 - agents.orchestrator - INFO - Processing Query: Fetch employee details where department is AI. 2026-01-25 09:47:52,255 - agents.orchestrator - INFO - [1/3] Planning... 2026-01-25 09:47:52,255 - agents.planner_agent - INFO - Planner analyzing: Fetch employee details where department is AI. 2026-01-25 09:47:52,255 - agents.llm_provider - INFO - Calling Mock Provider (simulating tinyllama)... 2026-01-25 09:47:52,255 - agents.planner_agent - INFO - LLM Response: {"tool": "get_employees_by_department", "parameters": {"department": "AI"}, "reasoning": "User asked for employees in AI department."}... 2026-01-25 09:47:52,255 - agents.planner_agent - INFO - ✅ Plan: {'tool': 'get_employees_by_department', 'parameters': {'department': 'AI'}, 'reasoning': 'User asked for employees in AI department.'} 2026-01-25 09:47:52,255 - agents.orchestrator - INFO - [2/3] Executing... 2026-01-25 09:47:52,255 - agents.executor_agent - INFO - Executing plan: {'tool': 'get_employees_by_department', 'parameters': {'department': 'AI'}, 'reasoning': 'User asked for employees in AI department.'} 2026-01-25 09:47:52,255 - agents.executor_agent - INFO - Tool: get_employees_by_department, Parameters: {'department': 'AI'} 2026-01-25 09:47:52,255 - agents.executor_agent - INFO - Calling tool: get_employees_by_department 2026-01-25 09:47:52,255 - mcp.tools - INFO - Tool called: get_employees_by_department with input=AI 2026-01-25 09:47:52,596 - database.db_executor - INFO - Found 3 employees in AI department 2026-01-25 09:47:52,597 - agents.executor_agent - INFO - Tool executed successfully, got 3 rows 2026-01-25 09:47:52,597 - agents.orchestrator - INFO - [3/3] 🤔 Reasoning... 2026-01-25 09:47:52,598 - agents.reasoner_agent - INFO - Reasoning about results... 2026-01-25 09:47:52,599 - agents.llm_provider - INFO - Calling Mock Provider (simulating tinyllama)... 2026-01-25 09:47:52,599 - agents.reasoner_agent - INFO - Reasoning complete 2026-01-25 09:47:52,599 - agents.orchestrator - INFO - ✅ Query Processing Complete 2026-01-25 09:47:52,602 - agents.orchestrator - INFO - Processing Query: What are the projects that are in progress? 2026-01-25 09:47:52,602 - agents.orchestrator - INFO - [1/3] Planning... 2026-01-25 09:47:52,603 - agents.planner_agent - INFO - Planner analyzing: What are the projects that are in progress? 2026-01-25 09:47:52,603 - agents.llm_provider - INFO - Calling Mock Provider (simulating tinyllama)... 2026-01-25 09:47:52,603 - agents.planner_agent - INFO - LLM Response: {"tool": "get_projects_by_status", "parameters": {"status": "In Progress"}, "reasoning": "User asked for projects in progress."}... 2026-01-25 09:47:52,604 - agents.planner_agent - INFO - ✅ Plan: {'tool': 'get_projects_by_status', 'parameters': {'status': 'In Progress'}, 'reasoning': 'User asked for projects in progress.'} 2026-01-25 09:47:52,604 - agents.orchestrator - INFO - [2/3] Executing... 2026-01-25 09:47:52,604 - agents.executor_agent - INFO - Executing plan: {'tool': 'get_projects_by_status', 'parameters': {'status': 'In Progress'}, 'reasoning': 'User asked for projects in progress.'} 2026-01-25 09:47:52,604 - agents.executor_agent - INFO - Tool: get_projects_by_status, Parameters: {'status': 'In Progress'} 2026-01-25 09:47:52,604 - agents.executor_agent - INFO - Calling tool: get_projects_by_status 2026-01-25 09:47:52,604 - mcp.tools - INFO - Tool called: get_projects_by_status with input=In Progress 2026-01-25 09:47:52,784 - database.db_executor - INFO - Found 2 projects with status In Progress 2026-01-25 09:47:52,785 - agents.executor_agent - INFO - Tool executed successfully, got 2 rows 2026-01-25 09:47:52,785 - agents.orchestrator - INFO - [3/3] 🤔 Reasoning... 2026-01-25 09:47:52,785 - agents.reasoner_agent - INFO - Reasoning about results... 2026-01-25 09:47:52,786 - agents.llm_provider - INFO - Calling Mock Provider (simulating tinyllama)... 2026-01-25 09:47:52,786 - agents.reasoner_agent - INFO - Reasoning complete 2026-01-25 09:47:52,786 - agents.orchestrator - INFO - ✅ Query Processing Complete 2026-01-25 09:47:52,787 - agents.orchestrator - INFO - Processing Query: What are the high priority issues? 2026-01-25 09:47:52,787 - agents.orchestrator - INFO - [1/3] Planning... 2026-01-25 09:47:52,787 - agents.planner_agent - INFO - Planner analyzing: What are the high priority issues? 2026-01-25 09:47:52,787 - agents.llm_provider - INFO - Calling Mock Provider (simulating tinyllama)... 2026-01-25 09:47:52,787 - agents.planner_agent - INFO - LLM Response: {"tool": "get_issues_by_priority", "parameters": {"priority": "High"}, "reasoning": "User asked for high priority issues."}... 2026-01-25 09:47:52,788 - agents.planner_agent - INFO - ✅ Plan: {'tool': 'get_issues_by_priority', 'parameters': {'priority': 'High'}, 'reasoning': 'User asked for high priority issues.'} 2026-01-25 09:47:52,788 - agents.orchestrator - INFO - [2/3] Executing... 2026-01-25 09:47:52,788 - agents.executor_agent - INFO - Executing plan: {'tool': 'get_issues_by_priority', 'parameters': {'priority': 'High'}, 'reasoning': 'User asked for high priority issues.'} 2026-01-25 09:47:52,788 - agents.executor_agent - INFO - Tool: get_issues_by_priority, Parameters: {'priority': 'High'} 2026-01-25 09:47:52,788 - agents.executor_agent - INFO - Calling tool: get_issues_by_priority 2026-01-25 09:47:52,788 - mcp.tools - INFO - Tool called: get_issues_by_priority with input=High 2026-01-25 09:47:52,968 - database.db_executor - INFO - Found 2 issues with priority High 2026-01-25 09:47:52,968 - agents.executor_agent - INFO - Tool executed successfully, got 2 rows 2026-01-25 09:47:52,969 - agents.orchestrator - INFO - [3/3] 🤔 Reasoning... 2026-01-25 09:47:52,969 - agents.reasoner_agent - INFO - Reasoning about results... 2026-01-25 09:47:52,969 - agents.llm_provider - INFO - Calling Mock Provider (simulating tinyllama)... 2026-01-25 09:47:52,969 - agents.reasoner_agent - INFO - Reasoning complete 2026-01-25 09:47:52,969 - agents.orchestrator - INFO - ✅ Query Processing Complete 2026-01-25 09:47:52,971 - agents.orchestrator - INFO - Processing Query: What are the completed projects? 2026-01-25 09:47:52,971 - agents.orchestrator - INFO - [1/3] Planning... 2026-01-25 09:47:52,971 - agents.planner_agent - INFO - Planner analyzing: What are the completed projects? 2026-01-25 09:47:52,971 - agents.llm_provider - INFO - Calling Mock Provider (simulating tinyllama)... 2026-01-25 09:47:52,971 - agents.planner_agent - INFO - LLM Response: {"tool": "get_projects_by_status", "parameters": {"status": "Completed"}, "reasoning": "User asked for completed projects."}... 2026-01-25 09:47:52,972 - agents.planner_agent - INFO - ✅ Plan: {'tool': 'get_projects_by_status', 'parameters': {'status': 'Completed'}, 'reasoning': 'User asked for completed projects.'} 2026-01-25 09:47:52,972 - agents.orchestrator - INFO - [2/3] Executing... 2026-01-25 09:47:52,972 - agents.executor_agent - INFO - Executing plan: {'tool': 'get_projects_by_status', 'parameters': {'status': 'Completed'}, 'reasoning': 'User asked for completed projects.'} 2026-01-25 09:47:52,972 - agents.executor_agent - INFO - Tool: get_projects_by_status, Parameters: {'status': 'Completed'} 2026-01-25 09:47:52,972 - agents.executor_agent - INFO - Calling tool: get_projects_by_status 2026-01-25 09:47:52,972 - mcp.tools - INFO - Tool called: get_projects_by_status with input=Completed 2026-01-25 09:47:53,171 - database.db_executor - INFO - Found 1 projects with status Completed 2026-01-25 09:47:53,172 - agents.executor_agent - INFO - Tool executed successfully, got 1 rows 2026-01-25 09:47:53,172 - agents.orchestrator - INFO - [3/3] 🤔 Reasoning... 2026-01-25 09:47:53,172 - agents.reasoner_agent - INFO - Reasoning about results... 2026-01-25 09:47:53,173 - agents.llm_provider - INFO - Calling Mock Provider (simulating tinyllama)... 2026-01-25 09:47:53,173 - agents.reasoner_agent - INFO - Reasoning complete 2026-01-25 09:47:53,173 - agents.orchestrator - INFO - ✅ Query Processing Complete 2026-01-25 09:52:43,614 - agents.orchestrator - INFO - Initializing Orchestrator with ollama (tinyllama) 2026-01-25 09:52:43,614 - agents.orchestrator - INFO - Processing Query: Fetch employee details where department is AI. 2026-01-25 09:52:43,617 - agents.orchestrator - INFO - [1/3] Planning... 2026-01-25 09:52:43,617 - agents.planner_agent - INFO - Planner analyzing: Fetch employee details where department is AI. 2026-01-25 09:52:43,617 - agents.llm_provider - INFO - Calling Ollama (tinyllama)... 2026-01-25 09:53:14,749 - agents.llm_provider - INFO - Ollama response received 2026-01-25 09:53:14,749 - agents.planner_agent - INFO - LLM Response: The following query planner tool meets the requirements of your task by providing an exact matching tool. Availability: Available tools are based on real-world use cases and have been tested for the... 2026-01-25 09:53:14,749 - agents.planner_agent - WARNING - No JSON found in response. Attempting fallback strategy. 2026-01-25 09:53:14,749 - agents.planner_agent - INFO - ✅ Fallback Plan: {'tool': 'get_employees_by_department', 'parameters': {'department': 'AI'}, 'reasoning': 'Fallback strategy used due to LLM parsing failure'} 2026-01-25 09:53:14,750 - agents.orchestrator - INFO - [2/3] Executing... 2026-01-25 09:53:14,750 - agents.executor_agent - INFO - Executing plan: {'tool': 'get_employees_by_department', 'parameters': {'department': 'AI'}, 'reasoning': 'Fallback strategy used due to LLM parsing failure'} 2026-01-25 09:53:14,750 - agents.executor_agent - INFO - Tool: get_employees_by_department, Parameters: {'department': 'AI'} 2026-01-25 09:53:14,750 - agents.executor_agent - INFO - Calling tool: get_employees_by_department 2026-01-25 09:53:14,750 - mcp.tools - INFO - Tool called: get_employees_by_department with input=AI 2026-01-25 09:53:14,935 - database.db_executor - INFO - Found 3 employees in AI department 2026-01-25 09:53:14,935 - agents.executor_agent - INFO - Tool executed successfully, got 3 rows 2026-01-25 09:53:14,935 - agents.orchestrator - INFO - [3/3] 🤔 Reasoning... 2026-01-25 09:53:14,936 - agents.reasoner_agent - INFO - Reasoning about results... 2026-01-25 09:53:14,936 - agents.llm_provider - INFO - Calling Ollama (tinyllama)... 2026-01-25 09:55:06,777 - agents.orchestrator - INFO - Initializing Orchestrator with ollama (tinyllama) 2026-01-25 09:55:06,777 - agents.orchestrator - INFO - Processing Query: Fetch employee details where department is AI. 2026-01-25 09:55:06,777 - agents.orchestrator - INFO - [1/3] Planning... 2026-01-25 09:55:06,777 - agents.planner_agent - INFO - Planner analyzing: Fetch employee details where department is AI. 2026-01-25 09:55:06,777 - agents.llm_provider - INFO - Calling Ollama (tinyllama)... 2026-01-25 09:55:46,399 - agents.llm_provider - INFO - Ollama response received 2026-01-25 09:55:46,399 - agents.planner_agent - INFO - LLM Response: To respond to your query, you can use the "get_issues_by_priority" tool and extract the "priority" parameter. Here is an example JSON format: ```json { "tool": "EXACT_TOOL_NAME", "parameters": ... 2026-01-25 09:55:46,399 - agents.planner_agent - INFO - ✅ Plan: {'tool': 'get_employees_by_department', 'parameters': {'priority': 'Medium'}, 'reasoning': "This tool is best suited for requests that match the priority level 'Medium'. The provided parameter 'priority' has a value of 'Medium', which matches the requirement."} 2026-01-25 09:55:46,399 - agents.orchestrator - INFO - [2/3] Executing... 2026-01-25 09:55:46,401 - agents.executor_agent - INFO - Executing plan: {'tool': 'get_employees_by_department', 'parameters': {'priority': 'Medium'}, 'reasoning': "This tool is best suited for requests that match the priority level 'Medium'. The provided parameter 'priority' has a value of 'Medium', which matches the requirement."} 2026-01-25 09:55:46,401 - agents.executor_agent - INFO - Tool: get_employees_by_department, Parameters: {'priority': 'Medium'} 2026-01-25 09:55:46,401 - agents.executor_agent - INFO - Calling tool: get_employees_by_department 2026-01-25 09:55:46,401 - mcp.tools - INFO - Tool called: get_employees_by_department with input=Medium 2026-01-25 09:55:46,659 - database.db_executor - INFO - Found 0 employees in Medium department 2026-01-25 09:55:46,661 - agents.executor_agent - INFO - Tool executed successfully, got 0 rows 2026-01-25 09:55:46,661 - agents.orchestrator - INFO - [3/3] 🤔 Reasoning... 2026-01-25 09:55:46,661 - agents.reasoner_agent - INFO - Reasoning about results... 2026-01-25 09:55:46,662 - agents.llm_provider - INFO - Calling Ollama (tinyllama)... 2026-01-25 09:56:32,798 - agents.llm_provider - INFO - Ollama response received 2026-01-25 09:56:32,799 - agents.reasoner_agent - INFO - Reasoning complete 2026-01-25 09:56:32,799 - agents.orchestrator - INFO - ✅ Query Processing Complete 2026-01-25 09:56:32,800 - agents.orchestrator - INFO - Processing Query: What are the projects that are in progress? 2026-01-25 09:56:32,800 - agents.orchestrator - INFO - [1/3] Planning... 2026-01-25 09:56:32,800 - agents.planner_agent - INFO - Planner analyzing: What are the projects that are in progress? 2026-01-25 09:56:32,800 - agents.llm_provider - INFO - Calling Ollama (tinyllama)... 2026-01-25 09:57:06,809 - agents.llm_provider - INFO - Ollama response received 2026-01-25 09:57:06,810 - agents.planner_agent - INFO - LLM Response: Sure! Here is a sample response to your query with the "get_issues_by_priority" task: { "tool": "FETCH_TOOL", "parameters": { "status": "In Progress", "prority": "Low" }, "reasoning": "The f... 2026-01-25 09:57:06,810 - agents.planner_agent - INFO - ✅ Plan: {'tool': 'get_projects_by_status', 'parameters': {'status': 'In Progress', 'prority': 'Low'}, 'reasoning': 'The following projects are in progress, with priority level Low: '} 2026-01-25 09:57:06,811 - agents.orchestrator - INFO - [2/3] Executing... 2026-01-25 09:57:06,811 - agents.executor_agent - INFO - Executing plan: {'tool': 'get_projects_by_status', 'parameters': {'status': 'In Progress', 'prority': 'Low'}, 'reasoning': 'The following projects are in progress, with priority level Low: '} 2026-01-25 09:57:06,811 - agents.executor_agent - INFO - Tool: get_projects_by_status, Parameters: {'status': 'In Progress', 'prority': 'Low'} 2026-01-25 09:57:06,811 - agents.executor_agent - INFO - Calling tool: get_projects_by_status 2026-01-25 09:57:06,811 - mcp.tools - INFO - Tool called: get_projects_by_status with input=In Progress 2026-01-25 09:57:06,981 - database.db_executor - INFO - Found 2 projects with status In Progress 2026-01-25 09:57:06,981 - agents.executor_agent - INFO - Tool executed successfully, got 2 rows 2026-01-25 09:57:06,981 - agents.orchestrator - INFO - [3/3] 🤔 Reasoning... 2026-01-25 09:57:06,982 - agents.reasoner_agent - INFO - Reasoning about results... 2026-01-25 09:57:06,983 - agents.llm_provider - INFO - Calling Ollama (tinyllama)... 2026-01-25 09:57:42,214 - agents.llm_provider - INFO - Ollama response received 2026-01-25 09:57:42,215 - agents.reasoner_agent - INFO - Reasoning complete 2026-01-25 09:57:42,215 - agents.orchestrator - INFO - ✅ Query Processing Complete 2026-01-25 09:57:42,217 - agents.orchestrator - INFO - Processing Query: What are the high priority issues? 2026-01-25 09:57:42,217 - agents.orchestrator - INFO - [1/3] Planning... 2026-01-25 09:57:42,217 - agents.planner_agent - INFO - Planner analyzing: What are the high priority issues? 2026-01-25 09:57:42,217 - agents.llm_provider - INFO - Calling Ollama (tinyllama)... 2026-01-25 09:58:14,462 - agents.llm_provider - INFO - Ollama response received 2026-01-25 09:58:14,463 - agents.planner_agent - INFO - LLM Response: I do not have a personal query or preference. However, here's an example response to the given query: query plan: available tools: - exact_tool_name parameters: - param: value reasoning: reason re... 2026-01-25 09:58:14,464 - agents.planner_agent - INFO - ✅ Plan: {'param': 'value', 'tool': 'get_issues_by_priority'} 2026-01-25 09:58:14,464 - agents.orchestrator - INFO - [2/3] Executing... 2026-01-25 09:58:14,464 - agents.executor_agent - INFO - Executing plan: {'param': 'value', 'tool': 'get_issues_by_priority'} 2026-01-25 09:58:14,464 - agents.executor_agent - INFO - Tool: get_issues_by_priority, Parameters: {} 2026-01-25 09:58:14,464 - agents.executor_agent - INFO - Calling tool: get_issues_by_priority 2026-01-25 09:58:14,465 - agents.executor_agent - ERROR - No parameter value provided 2026-01-25 09:58:14,465 - agents.orchestrator - ERROR - Execution error: No parameter value in plan 2026-01-25 09:58:14,467 - agents.orchestrator - INFO - Processing Query: What are the completed projects? 2026-01-25 09:58:14,467 - agents.orchestrator - INFO - [1/3] Planning... 2026-01-25 09:58:14,467 - agents.planner_agent - INFO - Planner analyzing: What are the completed projects? 2026-01-25 09:58:14,467 - agents.llm_provider - INFO - Calling Ollama (tinyllama)... 2026-01-25 09:58:28,068 - agents.llm_provider - INFO - Ollama response received 2026-01-25 09:58:28,068 - agents.planner_agent - INFO - LLM Response: Sure! Here's a possible response for the query "What are the completed projects?" using the EXACT_TOOL_NAME tool: Task: Select the tool that best matches the query. Extract the parameter. Respond on... 2026-01-25 09:58:28,068 - agents.planner_agent - INFO - ✅ Plan: {'tool': 'get_projects_by_status', 'parameters': {'param': 'value'}, 'reasoning': 'reason'} 2026-01-25 09:58:28,068 - agents.orchestrator - INFO - [2/3] Executing... 2026-01-25 09:58:28,068 - agents.executor_agent - INFO - Executing plan: {'tool': 'get_projects_by_status', 'parameters': {'param': 'value'}, 'reasoning': 'reason'} 2026-01-25 09:58:28,068 - agents.executor_agent - INFO - Tool: get_projects_by_status, Parameters: {'param': 'value'} 2026-01-25 09:58:28,068 - agents.executor_agent - INFO - Calling tool: get_projects_by_status 2026-01-25 09:58:28,068 - mcp.tools - INFO - Tool called: get_projects_by_status with input=value 2026-01-25 09:58:28,159 - database.db_executor - INFO - Found 0 projects with status value 2026-01-25 09:58:28,160 - agents.executor_agent - INFO - Tool executed successfully, got 0 rows 2026-01-25 09:58:28,160 - agents.orchestrator - INFO - [3/3] 🤔 Reasoning... 2026-01-25 09:58:28,160 - agents.reasoner_agent - INFO - Reasoning about results... 2026-01-25 09:58:28,160 - agents.llm_provider - INFO - Calling Ollama (tinyllama)... 2026-01-25 09:58:42,428 - agents.llm_provider - INFO - Ollama response received 2026-01-25 09:58:42,428 - agents.reasoner_agent - INFO - Reasoning complete 2026-01-25 09:58:42,429 - agents.orchestrator - INFO - ✅ Query Processing Complete 2026-01-25 10:08:25,326 - agents.orchestrator - INFO - Initializing Orchestrator with ollama (llama3:8b) 2026-01-25 10:08:25,327 - agents.orchestrator - INFO - Processing Query: Fetch employee details where department is AI. 2026-01-25 10:08:25,327 - agents.orchestrator - INFO - [1/3] Planning... 2026-01-25 10:08:25,327 - agents.planner_agent - INFO - Planner analyzing: Fetch employee details where department is AI. 2026-01-25 10:08:25,327 - agents.llm_provider - INFO - Calling Ollama (llama3:8b)... 2026-01-25 10:09:57,519 - agents.llm_provider - INFO - Ollama response received 2026-01-25 10:09:57,520 - agents.planner_agent - INFO - LLM Response: { "tool": "get_employees_by_department", "parameters": {"department": "AI"}, "reasoning": "The query explicitly asks for employee details from a specific department, which matches the descriptio... 2026-01-25 10:09:57,520 - agents.planner_agent - INFO - ✅ Plan: {'tool': 'get_employees_by_department', 'parameters': {'department': 'AI'}, 'reasoning': 'The query explicitly asks for employee details from a specific department, which matches the description of the get_employees_by_department tool.'} 2026-01-25 10:09:57,521 - agents.orchestrator - INFO - [2/3] Executing... 2026-01-25 10:09:57,521 - agents.executor_agent - INFO - Executing plan: {'tool': 'get_employees_by_department', 'parameters': {'department': 'AI'}, 'reasoning': 'The query explicitly asks for employee details from a specific department, which matches the description of the get_employees_by_department tool.'} 2026-01-25 10:09:57,521 - agents.executor_agent - INFO - Tool: get_employees_by_department, Parameters: {'department': 'AI'} 2026-01-25 10:09:57,521 - agents.executor_agent - INFO - Calling tool: get_employees_by_department 2026-01-25 10:09:57,521 - mcp.tools - INFO - Tool called: get_employees_by_department with input=AI 2026-01-25 10:09:57,759 - database.db_executor - INFO - Found 3 employees in AI department 2026-01-25 10:09:57,759 - agents.executor_agent - INFO - Tool executed successfully, got 3 rows 2026-01-25 10:09:57,759 - agents.orchestrator - INFO - [3/3] 🤔 Reasoning... 2026-01-25 10:09:57,761 - agents.reasoner_agent - INFO - Reasoning about results... 2026-01-25 10:09:57,761 - agents.llm_provider - INFO - Calling Ollama (llama3:8b)... 2026-01-25 10:11:29,653 - agents.llm_provider - INFO - Ollama response received 2026-01-25 10:11:29,653 - agents.reasoner_agent - INFO - Reasoning complete 2026-01-25 10:11:29,653 - agents.orchestrator - INFO - ✅ Query Processing Complete 2026-01-25 10:11:29,654 - agents.orchestrator - INFO - Processing Query: What are the projects that are in progress? 2026-01-25 10:11:29,654 - agents.orchestrator - INFO - [1/3] Planning... 2026-01-25 10:11:29,654 - agents.planner_agent - INFO - Planner analyzing: What are the projects that are in progress? 2026-01-25 10:11:29,654 - agents.llm_provider - INFO - Calling Ollama (llama3:8b)... 2026-01-25 10:12:45,906 - agents.llm_provider - INFO - Ollama response received 2026-01-25 10:12:45,906 - agents.planner_agent - INFO - LLM Response: { "tool": "get_projects_by_status", "parameters": { "status": "In Progress" }, "reasoning": "The query asks for projects that are in progress, which is a specific status. The get_projects_by_sta... 2026-01-25 10:12:45,906 - agents.planner_agent - INFO - ✅ Plan: {'tool': 'get_projects_by_status', 'parameters': {'status': 'In Progress'}, 'reasoning': 'The query asks for projects that are in progress, which is a specific status. The get_projects_by_status tool matches this requirement.'} 2026-01-25 10:12:45,907 - agents.orchestrator - INFO - [2/3] Executing... 2026-01-25 10:12:45,907 - agents.executor_agent - INFO - Executing plan: {'tool': 'get_projects_by_status', 'parameters': {'status': 'In Progress'}, 'reasoning': 'The query asks for projects that are in progress, which is a specific status. The get_projects_by_status tool matches this requirement.'} 2026-01-25 10:12:45,907 - agents.executor_agent - INFO - Tool: get_projects_by_status, Parameters: {'status': 'In Progress'} 2026-01-25 10:12:45,907 - agents.executor_agent - INFO - Calling tool: get_projects_by_status 2026-01-25 10:12:45,907 - mcp.tools - INFO - Tool called: get_projects_by_status with input=In Progress 2026-01-25 10:12:45,980 - database.db_executor - INFO - Found 2 projects with status In Progress 2026-01-25 10:12:45,981 - agents.executor_agent - INFO - Tool executed successfully, got 2 rows 2026-01-25 10:12:45,981 - agents.orchestrator - INFO - [3/3] 🤔 Reasoning... 2026-01-25 10:12:45,981 - agents.reasoner_agent - INFO - Reasoning about results... 2026-01-25 10:12:45,981 - agents.llm_provider - INFO - Calling Ollama (llama3:8b)... 2026-01-25 10:14:54,786 - agents.llm_provider - INFO - Ollama response received 2026-01-25 10:14:54,786 - agents.reasoner_agent - INFO - Reasoning complete 2026-01-25 10:14:54,788 - agents.orchestrator - INFO - ✅ Query Processing Complete 2026-01-25 10:14:54,788 - agents.orchestrator - INFO - Processing Query: What are the high priority issues? 2026-01-25 10:14:54,788 - agents.orchestrator - INFO - [1/3] Planning... 2026-01-25 10:14:54,788 - agents.planner_agent - INFO - Planner analyzing: What are the high priority issues? 2026-01-25 10:14:54,788 - agents.llm_provider - INFO - Calling Ollama (llama3:8b)... 2026-01-25 10:17:31,178 - agents.orchestrator - INFO - Initializing Orchestrator with ollama (llama3:8b) 2026-01-25 10:17:31,178 - agents.orchestrator - INFO - Processing Query: Fetch employee details where department is AI. 2026-01-25 10:17:31,178 - agents.orchestrator - INFO - [1/3] Planning... 2026-01-25 10:17:31,178 - agents.planner_agent - INFO - Planner analyzing: Fetch employee details where department is AI. 2026-01-25 10:17:31,179 - agents.llm_provider - INFO - Calling Ollama (llama3:8b)... 2026-01-25 10:18:09,608 - agents.llm_provider - INFO - Ollama response received 2026-01-25 10:18:09,609 - agents.planner_agent - INFO - LLM Response: { "tool": "get_employees_by_department", "parameters": { "department": "AI" }, "reasoning": "The query asks to fetch employee details from a specific department, which matches the description of... 2026-01-25 10:18:09,610 - agents.planner_agent - INFO - ✅ Plan: {'tool': 'get_employees_by_department', 'parameters': {'department': 'AI'}, 'reasoning': "The query asks to fetch employee details from a specific department, which matches the description of the 'get_employees_by_department' tool."} 2026-01-25 10:18:09,610 - agents.orchestrator - INFO - [2/3] Executing... 2026-01-25 10:18:09,610 - agents.executor_agent - INFO - Executing plan: {'tool': 'get_employees_by_department', 'parameters': {'department': 'AI'}, 'reasoning': "The query asks to fetch employee details from a specific department, which matches the description of the 'get_employees_by_department' tool."} 2026-01-25 10:18:09,610 - agents.executor_agent - INFO - Tool: get_employees_by_department, Parameters: {'department': 'AI'} 2026-01-25 10:18:09,610 - agents.executor_agent - INFO - Calling tool: get_employees_by_department 2026-01-25 10:18:09,610 - mcp.tools - INFO - Tool called: get_employees_by_department with input=AI 2026-01-25 10:18:09,708 - database.db_executor - INFO - Found 3 employees in AI department 2026-01-25 10:18:09,708 - agents.executor_agent - INFO - Tool executed successfully, got 3 rows 2026-01-25 10:18:09,710 - agents.orchestrator - INFO - [3/3] 🤔 Reasoning... 2026-01-25 10:18:09,710 - agents.reasoner_agent - INFO - Reasoning about results... 2026-01-25 10:18:09,710 - agents.llm_provider - INFO - Calling Ollama (llama3:8b)... 2026-01-25 10:19:49,289 - agents.llm_provider - INFO - Ollama response received 2026-01-25 10:19:49,289 - agents.reasoner_agent - INFO - Reasoning complete 2026-01-25 10:19:49,289 - agents.orchestrator - INFO - ✅ Query Processing Complete 2026-01-25 10:19:49,290 - agents.orchestrator - INFO - Processing Query: What are the projects that are in progress? 2026-01-25 10:19:49,290 - agents.orchestrator - INFO - [1/3] Planning... 2026-01-25 10:19:49,290 - agents.planner_agent - INFO - Planner analyzing: What are the projects that are in progress? 2026-01-25 10:19:49,291 - agents.llm_provider - INFO - Calling Ollama (llama3:8b)... 2026-01-25 10:20:58,468 - agents.llm_provider - INFO - Ollama response received 2026-01-25 10:20:58,472 - agents.planner_agent - INFO - LLM Response: { "tool": "get_projects_by_status", "parameters": {"status": "In Progress"}, "reasoning": "The query is asking for projects with a specific status, which matches the description of the get_proje... 2026-01-25 10:20:58,473 - agents.planner_agent - INFO - ✅ Plan: {'tool': 'get_projects_by_status', 'parameters': {'status': 'In Progress'}, 'reasoning': 'The query is asking for projects with a specific status, which matches the description of the get_projects_by_status tool.'} 2026-01-25 10:20:58,473 - agents.orchestrator - INFO - [2/3] Executing... 2026-01-25 10:20:58,473 - agents.executor_agent - INFO - Executing plan: {'tool': 'get_projects_by_status', 'parameters': {'status': 'In Progress'}, 'reasoning': 'The query is asking for projects with a specific status, which matches the description of the get_projects_by_status tool.'} 2026-01-25 10:20:58,473 - agents.executor_agent - INFO - Tool: get_projects_by_status, Parameters: {'status': 'In Progress'} 2026-01-25 10:20:58,475 - agents.executor_agent - INFO - Calling tool: get_projects_by_status 2026-01-25 10:20:58,475 - mcp.tools - INFO - Tool called: get_projects_by_status with input=In Progress 2026-01-25 10:20:58,572 - database.db_executor - INFO - Found 2 projects with status In Progress 2026-01-25 10:20:58,572 - agents.executor_agent - INFO - Tool executed successfully, got 2 rows 2026-01-25 10:20:58,572 - agents.orchestrator - INFO - [3/3] 🤔 Reasoning... 2026-01-25 10:20:58,572 - agents.reasoner_agent - INFO - Reasoning about results... 2026-01-25 10:20:58,572 - agents.llm_provider - INFO - Calling Ollama (llama3:8b)... 2026-01-25 10:22:33,060 - agents.llm_provider - INFO - Ollama response received 2026-01-25 10:22:33,060 - agents.reasoner_agent - INFO - Reasoning complete 2026-01-25 10:22:33,060 - agents.orchestrator - INFO - ✅ Query Processing Complete 2026-01-25 10:22:33,062 - agents.orchestrator - INFO - Processing Query: What are the high priority issues? 2026-01-25 10:22:33,062 - agents.orchestrator - INFO - [1/3] Planning... 2026-01-25 10:22:33,062 - agents.planner_agent - INFO - Planner analyzing: What are the high priority issues? 2026-01-25 10:22:33,063 - agents.llm_provider - INFO - Calling Ollama (llama3:8b)... 2026-01-25 10:23:45,298 - agents.llm_provider - INFO - Ollama response received 2026-01-25 10:23:45,299 - agents.planner_agent - INFO - LLM Response: { "tool": "get_issues_by_priority", "parameters": {"priority": "High"}, "reasoning": "The query is asking for high priority issues, which matches the description of the get_issues_by_priority to... 2026-01-25 10:23:45,299 - agents.planner_agent - INFO - ✅ Plan: {'tool': 'get_issues_by_priority', 'parameters': {'priority': 'High'}, 'reasoning': 'The query is asking for high priority issues, which matches the description of the get_issues_by_priority tool.'} 2026-01-25 10:23:45,299 - agents.orchestrator - INFO - [2/3] Executing... 2026-01-25 10:23:45,299 - agents.executor_agent - INFO - Executing plan: {'tool': 'get_issues_by_priority', 'parameters': {'priority': 'High'}, 'reasoning': 'The query is asking for high priority issues, which matches the description of the get_issues_by_priority tool.'} 2026-01-25 10:23:45,299 - agents.executor_agent - INFO - Tool: get_issues_by_priority, Parameters: {'priority': 'High'} 2026-01-25 10:23:45,299 - agents.executor_agent - INFO - Calling tool: get_issues_by_priority 2026-01-25 10:23:45,299 - mcp.tools - INFO - Tool called: get_issues_by_priority with input=High 2026-01-25 10:23:45,365 - database.db_executor - INFO - Found 2 issues with priority High 2026-01-25 10:23:45,365 - agents.executor_agent - INFO - Tool executed successfully, got 2 rows 2026-01-25 10:23:45,365 - agents.orchestrator - INFO - [3/3] 🤔 Reasoning... 2026-01-25 10:23:45,365 - agents.reasoner_agent - INFO - Reasoning about results... 2026-01-25 10:23:45,365 - agents.llm_provider - INFO - Calling Ollama (llama3:8b)... 2026-01-25 10:25:12,617 - agents.llm_provider - INFO - Ollama response received 2026-01-25 10:25:12,617 - agents.reasoner_agent - INFO - Reasoning complete 2026-01-25 10:25:12,617 - agents.orchestrator - INFO - ✅ Query Processing Complete 2026-01-25 10:25:12,618 - agents.orchestrator - INFO - Processing Query: What are the completed projects? 2026-01-25 10:25:12,618 - agents.orchestrator - INFO - [1/3] Planning... 2026-01-25 10:25:12,618 - agents.planner_agent - INFO - Planner analyzing: What are the completed projects? 2026-01-25 10:25:12,618 - agents.llm_provider - INFO - Calling Ollama (llama3:8b)... 2026-01-25 10:26:16,803 - agents.llm_provider - INFO - Ollama response received 2026-01-25 10:26:16,803 - agents.planner_agent - INFO - LLM Response: { "tool": "get_projects_by_status", "parameters": { "status": "Completed" }, "reasoning": "The query is asking for completed projects, which aligns with the 'Completed' status in the get_project... 2026-01-25 10:26:16,804 - agents.planner_agent - INFO - ✅ Plan: {'tool': 'get_projects_by_status', 'parameters': {'status': 'Completed'}, 'reasoning': "The query is asking for completed projects, which aligns with the 'Completed' status in the get_projects_by_status tool."} 2026-01-25 10:26:16,804 - agents.orchestrator - INFO - [2/3] Executing... 2026-01-25 10:26:16,804 - agents.executor_agent - INFO - Executing plan: {'tool': 'get_projects_by_status', 'parameters': {'status': 'Completed'}, 'reasoning': "The query is asking for completed projects, which aligns with the 'Completed' status in the get_projects_by_status tool."} 2026-01-25 10:26:16,804 - agents.executor_agent - INFO - Tool: get_projects_by_status, Parameters: {'status': 'Completed'} 2026-01-25 10:26:16,804 - agents.executor_agent - INFO - Calling tool: get_projects_by_status 2026-01-25 10:26:16,804 - mcp.tools - INFO - Tool called: get_projects_by_status with input=Completed 2026-01-25 10:26:16,871 - database.db_executor - INFO - Found 1 projects with status Completed 2026-01-25 10:26:16,871 - agents.executor_agent - INFO - Tool executed successfully, got 1 rows 2026-01-25 10:26:16,871 - agents.orchestrator - INFO - [3/3] 🤔 Reasoning... 2026-01-25 10:26:16,871 - agents.reasoner_agent - INFO - Reasoning about results... 2026-01-25 10:26:16,871 - agents.llm_provider - INFO - Calling Ollama (llama3:8b)... 2026-01-25 10:27:32,254 - agents.llm_provider - INFO - Ollama response received 2026-01-25 10:27:32,255 - agents.reasoner_agent - INFO - Reasoning complete 2026-01-25 10:27:32,255 - agents.orchestrator - INFO - ✅ Query Processing Complete