add

backend/database/samples/knowledge_graphs/kg_algorithm_sample_0_realistic.json

@@ -1,283 +0,0 @@
-{
-  "filename": "kg_algorithm_sample_0.json",
-  "trace_index": 0,
-  "graph_data": {
-    "system_name": "California Great America Ticket Analysis System",
-    "system_summary": "This system helps analyze the cost-saving potential of purchasing season passes versus individual daily tickets at California's Great America in San Jose. The process starts with an inquiry regarding savings from the `Inquiry about Savings from Season Pass vs Daily Tickets` (input_001), which is consumed by the `Verification Expert` (agent_002), who performs the `Verify Cost of Daily Ticket and Season Pass in 2024` (task_001). The task produces an output, the `Saved Amount from Season Pass Purchase` (output_001), which is then delivered to the `Arithmetic Progressions Expert` (agent_003) for final validation. Throughout the workflow, the `Computer Terminal` (agent_004) serves as an additional entity ensuring conversation flow.",
-    "entities": [
-      {
-        "id": "agent_001",
-        "type": "Agent",
-        "name": "ProblemSolving_Expert",
-        "importance": "HIGH",
-        "raw_prompt": "You are a ProblemSolving_Expert specialized in task coordination and management.\n\nYour reasoning process should be explicit and structured:\n1. Task Analysis: Break down complex problems into manageable components\n2. Workflow Planning: Design step-by-step solution approaches\n3. Resource Allocation: Assign tasks to appropriate experts\n4. Progress Monitoring: Track task completion and quality\n5. Coordination: Ensure smooth handoffs between team members\n6. Quality Assurance: Validate outputs meet requirements\n\nAvailable Tools:\n- task_planner: Create detailed task breakdown structures\n- team_coordinator: Assign tasks to team members\n- progress_tracker: Monitor task completion status\n\nResponse Format:\n- Use reasoning_content to show your coordination thinking\n- Structure tasks clearly with priorities and dependencies\n- Provide clear instructions to team members\n\nYour role is to:\n- Analyze complex problems and break them down into manageable tasks\n- Coordinate with other experts to solve multi-step problems\n- Provide task descriptions and guidance to verification experts\n- Ensure proper workflow execution",
-        "raw_prompt_ref": [
-          {
-            "line_start": 17,
-            "line_end": 17
-          },
-          {
-            "line_start": 34,
-            "line_end": 34
-          },
-          {
-            "line_start": 45,
-            "line_end": 45
-          }
-        ]
-      },
-      {
-        "id": "agent_002",
-        "type": "Agent",
-        "name": "Verification_Expert",
-        "importance": "HIGH",
-        "raw_prompt": "You are a Verification_Expert responsible for validating information accuracy and conducting detailed analysis.\n\nYour reasoning process should be explicit and structured:\n1. Task Analysis: Identify and understand the user's request\n2. Instruction Parsing: Acknowledge constraints and requirements  \n3. Step Planning: Break down complex tasks into sequential steps\n4. Tool Selection: Choose appropriate tools for each step\n5. Parameter Reasoning: Reason about tool parameters based on context\n6. Constraint Handling: Recognize limitations and adapt strategy\n7. Self Correction: Evaluate options and correct course when needed\n\nAvailable Tools:\n- web_search: Search for current pricing information\n- calculator: Perform mathematical calculations\n- data_retrieval: Access historical pricing data\n\nResponse Format:\n- Use reasoning_content to show your internal thinking process\n- Make structured tool calls with reasoned arguments\n- Provide public content with detailed explanations\n\nYour expertise includes:\n- Verifying costs, prices, and numerical data\n- Cross-checking information against historical patterns\n- Conducting detailed analysis and calculations\n- Providing verified results with explanations\n\nRemember: Show your reasoning explicitly. Think through each decision step by step.",
-        "raw_prompt_ref": [
-          {
-            "line_start": 66,
-            "line_end": 66
-          },
-          {
-            "line_start": 112,
-            "line_end": 112
-          },
-          {
-            "line_start": 149,
-            "line_end": 149
-          },
-          {
-            "line_start": 164,
-            "line_end": 164
-          }
-        ]
-      },
-      {
-        "id": "agent_003",
-        "type": "Agent",
-        "name": "ArithmeticProgressions_Expert",
-        "importance": "MEDIUM",
-        "raw_prompt": "You are an ArithmeticProgressions_Expert specialized in mathematical calculations and analysis.\n\nYour reasoning process should be explicit and structured:\n1. Mathematical Analysis: Identify the mathematical nature of the problem\n2. Formula Selection: Choose appropriate mathematical formulas and methods\n3. Calculation Planning: Structure calculations in logical sequence\n4. Validation: Cross-check results using alternative methods\n5. Pattern Recognition: Identify mathematical patterns and sequences\n6. Result Interpretation: Explain mathematical findings in context\n\nAvailable Tools:\n- advanced_calculator: Perform complex mathematical operations\n- formula_library: Access mathematical formulas and theorems\n- pattern_analyzer: Identify mathematical patterns\n\nResponse Format:\n- Use reasoning_content to show your mathematical thinking\n- Present calculations with clear step-by-step explanations\n- Validate results through multiple approaches\n\nYour expertise includes:\n- Validating arithmetic calculations and mathematical reasoning\n- Analyzing numerical sequences and patterns\n- Confirming computational results\n- Providing mathematical validation for problem solutions",
-        "raw_prompt_ref": [
-          {
-            "line_start": 172,
-            "line_end": 172
-          },
-          {
-            "line_start": 181,
-            "line_end": 181
-          }
-        ]
-      },
-      {
-        "id": "agent_004",
-        "type": "Tool",
-        "name": "Computer Terminal",
-        "importance": "LOW",
-        "raw_prompt": "Code execution environment and computational terminal for running calculations, scripts, and data processing tasks. Provides computational support to other agents when code execution is required.",
-        "raw_prompt_ref": [
-          {
-            "line_start": 21,
-            "line_end": 21
-          },
-          {
-            "line_start": 32,
-            "line_end": 32
-          }
-        ]
-      },
-      {
-        "id": "task_001",
-        "type": "Task",
-        "name": "Verify Cost of Daily Ticket and Season Pass in 2024",
-        "importance": "HIGH",
-        "raw_prompt": "",
-        "raw_prompt_ref": [
-          {
-            "line_start": 8,
-            "line_end": 8
-          },
-          {
-            "line_start": 10,
-            "line_end": 10
-          },
-          {
-            "line_start": 11,
-            "line_end": 12
-          }
-        ]
-      },
-      {
-        "id": "input_001",
-        "type": "Input",
-        "name": "Inquiry about Savings from Season Pass vs Daily Tickets",
-        "importance": "HIGH",
-        "raw_prompt": "",
-        "raw_prompt_ref": [
-          {
-            "line_start": 6,
-            "line_end": 6
-          }
-        ]
-      },
-      {
-        "id": "output_001",
-        "type": "Output",
-        "name": "Saved Amount from Season Pass Purchase",
-        "importance": "HIGH",
-        "raw_prompt": "",
-        "raw_prompt_ref": [
-          {
-            "line_start": 119,
-            "line_end": 119
-          },
-          {
-            "line_start": 126,
-            "line_end": 126
-          }
-        ]
-      },
-      {
-        "id": "human_001",
-        "type": "Human",
-        "name": "Park Visitor",
-        "importance": "HIGH",
-        "raw_prompt": "Person inquiring about ticket cost savings for California's Great America visits",
-        "raw_prompt_ref": [
-          {
-            "line_start": 1,
-            "line_end": 1
-          }
-        ]
-      }
-    ],
-    "relations": [
-      {
-        "id": "relation_001",
-        "source": "input_001",
-        "target": "agent_002",
-        "type": "CONSUMED_BY",
-        "importance": "HIGH",
-        "interaction_prompt": "",
-        "interaction_prompt_ref": [
-          {
-            "line_start": 6,
-            "line_end": 6
-          }
-        ]
-      },
-      {
-        "id": "relation_002",
-        "source": "agent_002",
-        "target": "task_001",
-        "type": "PERFORMS",
-        "importance": "HIGH",
-        "interaction_prompt": "Task Assignment with Manager Instructions:\n\nYou are given: (1) a task and advises from your manager with a specific plan and (2) a general task.\nCollect information from the general task, follow the suggestions from manager to solve the task.\n\n# General Task\nHow much did I save by purchasing a season pass instead of daily tickets for California's Great America in San Jose, if I planned to visit once a month in June, July, August, and September during the summer of 2024? Please solve the task carefully.\n\n# Task and suggestions from manager\n## Task description\nVerify the accuracy of the provided costs for a daily ticket and a season pass for California's Great America in San Jose for the summer of 2024.\n\n## Plan for solving the task\n1. Confirm the cost of a daily ticket for California's Great America in 2024.\n2. Confirm the cost of a season pass for California's Great America in 2024.\n\n## Output format\n- Verified cost of a daily ticket in 2024\n- Verified cost of a season pass in 2024\n\n## Constraints and conditions for completion\n- The costs must be accurate and reflect the prices for the summer of 2024.\n\n## Results from last response\n- Cost of a daily ticket in 2024: $60\n- Cost of a season pass in 2024: $120\n\nExpected Reasoning Process:\nThink through this step by step. Show your reasoning about:\n- How you will verify these prices\n- What sources you trust for accuracy\n- How you handle any conflicting information\n- Your methodology for ensuring 2024 summer pricing",
-        "interaction_prompt_ref": [
-          {
-            "line_start": 112,
-            "line_end": 112
-          },
-          {
-            "line_start": 164,
-            "line_end": 164
-          }
-        ]
-      },
-      {
-        "id": "relation_003",
-        "source": "task_001",
-        "target": "agent_002",
-        "type": "ASSIGNED_TO",
-        "importance": "HIGH",
-        "interaction_prompt": "",
-        "interaction_prompt_ref": [
-          {
-            "line_start": 8,
-            "line_end": 8
-          }
-        ]
-      },
-      {
-        "id": "relation_004",
-        "source": "task_001",
-        "target": "output_001",
-        "type": "PRODUCES",
-        "importance": "HIGH",
-        "interaction_prompt": "",
-        "interaction_prompt_ref": [
-          {
-            "line_start": 119,
-            "line_end": 119
-          }
-        ]
-      },
-      {
-        "id": "relation_005",
-        "source": "output_001",
-        "target": "human_001",
-        "type": "DELIVERS_TO",
-        "importance": "HIGH",
-        "interaction_prompt": "",
-        "interaction_prompt_ref": [
-          {
-            "line_start": 126,
-            "line_end": 126
-          }
-        ]
-      },
-      {
-        "id": "relation_006",
-        "source": "agent_002",
-        "target": "task_001",
-        "type": "INTERVENES",
-        "importance": "HIGH",
-        "interaction_prompt": "",
-        "interaction_prompt_ref": [
-          {
-            "line_start": 164,
-            "line_end": 164
-          }
-        ]
-      },
-      {
-        "id": "rel_uses_computer",
-        "source": "agent_001",
-        "target": "agent_004",
-        "type": "USES",
-        "importance": "MEDIUM",
-        "interaction_prompt": "Tool Usage Request with Reasoning Context:\n\nI need to use the Computer Terminal for computational tasks related to the ticket pricing analysis.\n\nMy reasoning for this tool usage:\n1. Task Context: We need to calculate savings from season pass vs daily tickets\n2. Calculation Required: 4 visits × daily ticket price vs season pass price\n3. Tool Selection: Computer Terminal is appropriate for mathematical calculations\n4. Expected Output: Precise calculation with clear breakdown\n\nSpecific calculation request:\n- Calculate: 4 visits × $60 per visit = total cost for daily tickets\n- Compare with: $120 season pass cost\n- Determine: Savings amount and percentage\n\nParameters:\n- Number of visits: 4 (June, July, August, September)\n- Daily ticket cost: $60 (to be verified)\n- Season pass cost: $120 (to be verified)\n- Output format: Clear numerical breakdown with explanation",
-        "interaction_prompt_ref": [
-          {
-            "line_start": 50,
-            "line_end": 55,
-            "confidence": 0.8
-          }
-        ]
-      }
-    ],
-    "failures": [],
-    "optimizations": []
-  },
-  "extraction_info": {
-    "method": "real_ai_extraction",
-    "model": "gpt-4o-mini",
-    "timestamp": "2025-01-27",
-    "api_key_used": "[REDACTED]",
-    "no_enhancement": true,
-    "source": "multi_agent_knowledge_extractor.py"
-  },
-  "realistic_enhancement_info": {
-    "enhanced_at": "2025-01-27",
-    "enhancement_type": "realistic_agent_reasoning",
-    "features_added": [
-      "explicit_reasoning_frameworks",
-      "step_by_step_thinking_instructions",
-      "tool_selection_reasoning",
-      "constraint_awareness_prompts",
-      "self_correction_mechanisms",
-      "contextual_interaction_content"
-    ],
-    "reasoning_pattern_source": "real_agent_trace_analysis",
-    "total_reasoning_instructions": 5
-  }
-}