🎬 Add temporal replay support for algorithm_sample_1 with 3 progressive window KGs

backend/database/samples/knowledge_graphs/kg_algorithm_sample_1_window_0.json

@@ -0,0 +1,133 @@
+{
+  "filename": "kg_algorithm_sample_1_window_0.json",
+  "trace_index": 0,
+  "graph_data": {
+    "system_name": "Location-Based Restaurant Discovery System",
+    "system_summary": "Initial stage of the Location-Based Restaurant Discovery System focusing on location identification and geographic analysis. The User Restaurant Query (input_001) is processed by the Location-Based Services Expert (agent_001) who begins Geographic Proximity Analysis (task_001). Computer Terminal (agent_004) provides computational support. This window shows the foundational setup with 3 entities and 3 relationships.",
+    "entities": [
+      {
+        "id": "agent_001",
+        "type": "Agent",
+        "name": "Location-Based Services Expert",
+        "importance": "HIGH",
+        "raw_prompt": "Specialized in geographic information systems, spatial analysis, and location-based queries. Handles mapping services, distance calculations, and proximity analysis.",
+        "raw_prompt_ref": [
+          {
+            "line_start": 15,
+            "line_end": 25,
+            "confidence": 0.95
+          }
+        ]
+      },
+      {
+        "id": "task_001",
+        "type": "Task",
+        "name": "Geographic Proximity Analysis",
+        "importance": "HIGH",
+        "raw_prompt": "Analyze geographic proximity between Harkness Memorial State Park and nearby restaurants. Calculate distances and identify closest establishments.",
+        "raw_prompt_ref": [
+          {
+            "line_start": 5,
+            "line_end": 10,
+            "confidence": 0.98
+          }
+        ]
+      },
+      {
+        "id": "input_001",
+        "type": "Input",
+        "name": "User Restaurant Query",
+        "importance": "HIGH",
+        "raw_prompt": "User request for closest eatery to Harkness Memorial State Park open at 11pm on Wednesdays",
+        "raw_prompt_ref": [
+          {
+            "line_start": 1,
+            "line_end": 3,
+            "confidence": 0.99
+          }
+        ]
+      }
+    ],
+    "relations": [
+      {
+        "id": "rel_001",
+        "source": "input_001",
+        "target": "agent_001",
+        "type": "CONSUMED_BY",
+        "importance": "HIGH",
+        "interaction_prompt": "Location-based query consumed by Location-Based Services Expert",
+        "interaction_prompt_ref": [
+          {
+            "line_start": 5,
+            "line_end": 8,
+            "confidence": 0.95
+          }
+        ]
+      },
+      {
+        "id": "rel_002",
+        "source": "agent_001",
+        "target": "task_001",
+        "type": "PERFORMS",
+        "importance": "HIGH",
+        "interaction_prompt": "Location-Based Services Expert performs geographic proximity analysis",
+        "interaction_prompt_ref": [
+          {
+            "line_start": 15,
+            "line_end": 25,
+            "confidence": 0.92
+          }
+        ]
+      },
+      {
+        "id": "rel_009",
+        "source": "agent_004",
+        "target": "task_001",
+        "type": "REQUIRED_BY",
+        "importance": "MEDIUM",
+        "interaction_prompt": "Computational task requires Computer Terminal for execution",
+        "interaction_prompt_ref": [
+          {
+            "line_start": 20,
+            "line_end": 25,
+            "confidence": 0.8
+          }
+        ]
+      }
+    ],
+    "failures": [],
+    "optimizations": [],
+    "metadata": {
+      "window_info": {
+        "window_index": 0,
+        "window_total": 3,
+        "window_name": "Initial Query Stage",
+        "processing_stage": "初始查询阶段",
+        "trace_id": "algorithm_sample_1",
+        "processing_run_id": "sample_replay_001",
+        "window_start_char": 0,
+        "window_end_char": 8675,
+        "entity_count": 3,
+        "relation_count": 3,
+        "failure_count": 0,
+        "optimization_count": 0,
+        "created_at": "2025-09-01T20:30:56.631864"
+      }
+    }
+  },
+  "extraction_info": {
+    "method": "enhanced_mock_creation",
+    "model": "human_designed",
+    "timestamp": "2025-01-27",
+    "api_key_used": "[REDACTED]",
+    "no_enhancement": false,
+    "source": "manual_design_for_demo"
+  },
+  "window_index": 0,
+  "window_total": 3,
+  "window_start_char": 0,
+  "window_end_char": 8675,
+  "processing_run_id": "sample_replay_001",
+  "trace_id": "algorithm_sample_1",
+  "is_final": false
+}

backend/database/samples/knowledge_graphs/kg_algorithm_sample_1_window_1.json

@@ -0,0 +1,252 @@
+{
+  "filename": "kg_algorithm_sample_1_window_1.json",
+  "trace_index": 0,
+  "graph_data": {
+    "system_name": "Location-Based Restaurant Discovery System",
+    "system_summary": "Data collection stage where the Eateries Expert (agent_002) joins the workflow to perform Restaurant Data Collection (task_002). The system now involves 6 entities working together with 6 relationships established. Computer Terminal support is actively engaged for data processing tasks.",
+    "entities": [
+      {
+        "id": "agent_001",
+        "type": "Agent",
+        "name": "Location-Based Services Expert",
+        "importance": "HIGH",
+        "raw_prompt": "Specialized in geographic information systems, spatial analysis, and location-based queries. Handles mapping services, distance calculations, and proximity analysis.",
+        "raw_prompt_ref": [
+          {
+            "line_start": 15,
+            "line_end": 25,
+            "confidence": 0.95
+          }
+        ]
+      },
+      {
+        "id": "agent_002",
+        "type": "Agent",
+        "name": "Eateries Expert",
+        "importance": "HIGH",
+        "raw_prompt": "Expert in restaurant data, food service information, and dining establishment databases. Collects and analyzes restaurant information including cuisine types, ratings, and amenities.",
+        "raw_prompt_ref": [
+          {
+            "line_start": 35,
+            "line_end": 45,
+            "confidence": 0.92
+          }
+        ]
+      },
+      {
+        "id": "agent_004",
+        "type": "Tool",
+        "name": "Computer Terminal",
+        "importance": "MEDIUM",
+        "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": 75,
+            "line_end": 80,
+            "confidence": 0.85
+          }
+        ]
+      },
+      {
+        "id": "task_001",
+        "type": "Task",
+        "name": "Geographic Proximity Analysis",
+        "importance": "HIGH",
+        "raw_prompt": "Analyze geographic proximity between Harkness Memorial State Park and nearby restaurants. Calculate distances and identify closest establishments.",
+        "raw_prompt_ref": [
+          {
+            "line_start": 5,
+            "line_end": 10,
+            "confidence": 0.98
+          }
+        ]
+      },
+      {
+        "id": "task_002",
+        "type": "Task",
+        "name": "Restaurant Data Collection",
+        "importance": "HIGH",
+        "raw_prompt": "Collect comprehensive restaurant data including operating hours, contact information, cuisine types, and availability information for Wednesday evenings.",
+        "raw_prompt_ref": [
+          {
+            "line_start": 25,
+            "line_end": 35,
+            "confidence": 0.94
+          }
+        ]
+      },
+      {
+        "id": "input_001",
+        "type": "Input",
+        "name": "User Restaurant Query",
+        "importance": "HIGH",
+        "raw_prompt": "User request for closest eatery to Harkness Memorial State Park open at 11pm on Wednesdays",
+        "raw_prompt_ref": [
+          {
+            "line_start": 1,
+            "line_end": 3,
+            "confidence": 0.99
+          }
+        ]
+      }
+    ],
+    "relations": [
+      {
+        "id": "rel_001",
+        "source": "input_001",
+        "target": "agent_001",
+        "type": "CONSUMED_BY",
+        "importance": "HIGH",
+        "interaction_prompt": "Location-based query consumed by Location-Based Services Expert",
+        "interaction_prompt_ref": [
+          {
+            "line_start": 5,
+            "line_end": 8,
+            "confidence": 0.95
+          }
+        ]
+      },
+      {
+        "id": "rel_002",
+        "source": "agent_001",
+        "target": "task_001",
+        "type": "PERFORMS",
+        "importance": "HIGH",
+        "interaction_prompt": "Location-Based Services Expert performs geographic proximity analysis",
+        "interaction_prompt_ref": [
+          {
+            "line_start": 15,
+            "line_end": 25,
+            "confidence": 0.92
+          }
+        ]
+      },
+      {
+        "id": "rel_003",
+        "source": "agent_002",
+        "target": "task_002",
+        "type": "PERFORMS",
+        "importance": "HIGH",
+        "interaction_prompt": "Eateries Expert performs restaurant data collection",
+        "interaction_prompt_ref": [
+          {
+            "line_start": 35,
+            "line_end": 45,
+            "confidence": 0.89
+          }
+        ]
+      },
+      {
+        "id": "rel_005",
+        "source": "task_001",
+        "target": "task_002",
+        "type": "NEXT",
+        "importance": "HIGH",
+        "interaction_prompt": "Geographic analysis leads to restaurant data collection",
+        "interaction_prompt_ref": [
+          {
+            "line_start": 25,
+            "line_end": 30,
+            "confidence": 0.88
+          }
+        ]
+      },
+      {
+        "id": "rel_009",
+        "source": "agent_004",
+        "target": "task_001",
+        "type": "REQUIRED_BY",
+        "importance": "MEDIUM",
+        "interaction_prompt": "Computational task requires Computer Terminal for execution",
+        "interaction_prompt_ref": [
+          {
+            "line_start": 20,
+            "line_end": 25,
+            "confidence": 0.8
+          }
+        ]
+      },
+      {
+        "id": "rel_uses_computer",
+        "source": "agent_001",
+        "target": "agent_004",
+        "type": "USES",
+        "importance": "MEDIUM",
+        "interaction_prompt": "Agent uses Computer Terminal for computational tasks",
+        "interaction_prompt_ref": [
+          {
+            "line_start": 50,
+            "line_end": 55,
+            "confidence": 0.8
+          }
+        ]
+      }
+    ],
+    "failures": [
+      {
+        "id": "failure_001",
+        "description": "Data Verification Expert failed to properly validate restaurant operating hours due to incorrect Python code implementation, leading to inaccurate 11pm availability data",
+        "raw_text": "",
+        "raw_text_ref": [
+          {
+            "line_start": 60,
+            "line_end": 65,
+            "confidence": 0.9
+          }
+        ],
+        "affected_id": "agent_003",
+        "risk_type": "EXECUTION_ERROR"
+      }
+    ],
+    "optimizations": [
+      {
+        "id": "opt_001",
+        "description": "Enhance location-based services with caching mechanisms and fallback data sources to improve reliability and reduce API dependency",
+        "raw_text": "Implement robust location service tools with redundancy",
+        "raw_text_ref": [
+          {
+            "line_start": 15,
+            "line_end": 25,
+            "confidence": 0.88
+          }
+        ],
+        "affected_ids": [
+          "agent_001"
+        ],
+        "recommendation_type": "TOOL_ENHANCEMENT"
+      }
+    ],
+    "metadata": {
+      "window_info": {
+        "window_index": 1,
+        "window_total": 3,
+        "window_name": "Data Collection Stage",
+        "processing_stage": "数据收集阶段",
+        "trace_id": "algorithm_sample_1",
+        "processing_run_id": "sample_replay_001",
+        "window_start_char": 7808,
+        "window_end_char": 16483,
+        "entity_count": 6,
+        "relation_count": 6,
+        "failure_count": 1,
+        "optimization_count": 1,
+        "created_at": "2025-09-01T20:30:56.632296"
+      }
+    }
+  },
+  "extraction_info": {
+    "method": "enhanced_mock_creation",
+    "model": "human_designed",
+    "timestamp": "2025-01-27",
+    "api_key_used": "[REDACTED]",
+    "no_enhancement": false,
+    "source": "manual_design_for_demo"
+  },
+  "window_index": 1,
+  "window_total": 3,
+  "window_start_char": 7808,
+  "window_end_char": 16483,
+  "processing_run_id": "sample_replay_001",
+  "trace_id": "algorithm_sample_1",
+  "is_final": false
+}

backend/database/samples/knowledge_graphs/kg_algorithm_sample_1_window_2.json

@@ -0,0 +1,417 @@
+{
+  "filename": "kg_algorithm_sample_1_window_2.json",
+  "trace_index": 0,
+  "graph_data": {
+    "system_name": "Location-Based Restaurant Discovery System",
+    "system_summary": "This sophisticated system helps users find nearby restaurants based on complex criteria including location proximity, operating hours, and day-specific availability. The process begins with a location-based query from the `User Restaurant Query` (input_001), which is processed by the `Location-Based Services Expert` (agent_001) who performs the `Geographic Proximity Analysis` (task_001). The `Eateries Expert` (agent_002) handles `Restaurant Data Collection` (task_002), while the `Data Verification Expert` (agent_003) performs `Operating Hours Validation` (task_003). The `Computer Terminal` (agent_004) provides computational support throughout the workflow. The system produces comprehensive `Restaurant Recommendations` (output_001) that are delivered to the `End User` (human_001).",
+    "entities": [
+      {
+        "id": "agent_001",
+        "type": "Agent",
+        "name": "Location-Based Services Expert",
+        "importance": "HIGH",
+        "raw_prompt": "Specialized in geographic information systems, spatial analysis, and location-based queries. Handles mapping services, distance calculations, and proximity analysis.",
+        "raw_prompt_ref": [
+          {
+            "line_start": 15,
+            "line_end": 25,
+            "confidence": 0.95
+          }
+        ]
+      },
+      {
+        "id": "agent_002",
+        "type": "Agent",
+        "name": "Eateries Expert",
+        "importance": "HIGH",
+        "raw_prompt": "Expert in restaurant data, food service information, and dining establishment databases. Collects and analyzes restaurant information including cuisine types, ratings, and amenities.",
+        "raw_prompt_ref": [
+          {
+            "line_start": 35,
+            "line_end": 45,
+            "confidence": 0.92
+          }
+        ]
+      },
+      {
+        "id": "agent_003",
+        "type": "Agent",
+        "name": "Data Verification Expert",
+        "importance": "HIGH",
+        "raw_prompt": "Responsible for validating data accuracy, cross-referencing information sources, and ensuring data quality. Specializes in verification of business hours, contact information, and operational status.",
+        "raw_prompt_ref": [
+          {
+            "line_start": 55,
+            "line_end": 65,
+            "confidence": 0.88
+          }
+        ]
+      },
+      {
+        "id": "agent_004",
+        "type": "Tool",
+        "name": "Computer Terminal",
+        "importance": "MEDIUM",
+        "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": 75,
+            "line_end": 80,
+            "confidence": 0.85
+          }
+        ]
+      },
+      {
+        "id": "task_001",
+        "type": "Task",
+        "name": "Geographic Proximity Analysis",
+        "importance": "HIGH",
+        "raw_prompt": "Analyze geographic proximity between Harkness Memorial State Park and nearby restaurants. Calculate distances and identify closest establishments.",
+        "raw_prompt_ref": [
+          {
+            "line_start": 5,
+            "line_end": 10,
+            "confidence": 0.98
+          }
+        ]
+      },
+      {
+        "id": "task_002",
+        "type": "Task",
+        "name": "Restaurant Data Collection",
+        "importance": "HIGH",
+        "raw_prompt": "Collect comprehensive restaurant data including operating hours, contact information, cuisine types, and availability information for Wednesday evenings.",
+        "raw_prompt_ref": [
+          {
+            "line_start": 25,
+            "line_end": 35,
+            "confidence": 0.94
+          }
+        ]
+      },
+      {
+        "id": "task_003",
+        "type": "Task",
+        "name": "Operating Hours Validation",
+        "importance": "HIGH",
+        "raw_prompt": "Verify restaurant operating hours for Wednesday nights, specifically checking 11pm availability and cross-referencing multiple data sources.",
+        "raw_prompt_ref": [
+          {
+            "line_start": 45,
+            "line_end": 55,
+            "confidence": 0.91
+          }
+        ]
+      },
+      {
+        "id": "input_001",
+        "type": "Input",
+        "name": "User Restaurant Query",
+        "importance": "HIGH",
+        "raw_prompt": "User request for closest eatery to Harkness Memorial State Park open at 11pm on Wednesdays",
+        "raw_prompt_ref": [
+          {
+            "line_start": 1,
+            "line_end": 3,
+            "confidence": 0.99
+          }
+        ]
+      },
+      {
+        "id": "output_001",
+        "type": "Output",
+        "name": "Restaurant Recommendations",
+        "importance": "HIGH",
+        "raw_prompt": "Comprehensive restaurant recommendations with verified operating hours and proximity information",
+        "raw_prompt_ref": [
+          {
+            "line_start": 90,
+            "line_end": 95,
+            "confidence": 0.93
+          }
+        ]
+      },
+      {
+        "id": "human_001",
+        "type": "Human",
+        "name": "End User",
+        "importance": "HIGH",
+        "raw_prompt": "User seeking restaurant recommendations near a specific location with time constraints",
+        "raw_prompt_ref": [
+          {
+            "line_start": 1,
+            "line_end": 1,
+            "confidence": 0.95
+          }
+        ]
+      }
+    ],
+    "relations": [
+      {
+        "id": "rel_001",
+        "source": "input_001",
+        "target": "agent_001",
+        "type": "CONSUMED_BY",
+        "importance": "HIGH",
+        "interaction_prompt": "Location-based query consumed by Location-Based Services Expert",
+        "interaction_prompt_ref": [
+          {
+            "line_start": 5,
+            "line_end": 8,
+            "confidence": 0.95
+          }
+        ]
+      },
+      {
+        "id": "rel_002",
+        "source": "agent_001",
+        "target": "task_001",
+        "type": "PERFORMS",
+        "importance": "HIGH",
+        "interaction_prompt": "Location-Based Services Expert performs geographic proximity analysis",
+        "interaction_prompt_ref": [
+          {
+            "line_start": 15,
+            "line_end": 25,
+            "confidence": 0.92
+          }
+        ]
+      },
+      {
+        "id": "rel_003",
+        "source": "agent_002",
+        "target": "task_002",
+        "type": "PERFORMS",
+        "importance": "HIGH",
+        "interaction_prompt": "Eateries Expert performs restaurant data collection",
+        "interaction_prompt_ref": [
+          {
+            "line_start": 35,
+            "line_end": 45,
+            "confidence": 0.89
+          }
+        ]
+      },
+      {
+        "id": "rel_004",
+        "source": "agent_003",
+        "target": "task_003",
+        "type": "PERFORMS",
+        "importance": "HIGH",
+        "interaction_prompt": "Data Verification Expert performs operating hours validation",
+        "interaction_prompt_ref": [
+          {
+            "line_start": 55,
+            "line_end": 65,
+            "confidence": 0.87
+          }
+        ]
+      },
+      {
+        "id": "rel_005",
+        "source": "task_001",
+        "target": "task_002",
+        "type": "NEXT",
+        "importance": "HIGH",
+        "interaction_prompt": "Geographic analysis leads to restaurant data collection",
+        "interaction_prompt_ref": [
+          {
+            "line_start": 25,
+            "line_end": 30,
+            "confidence": 0.88
+          }
+        ]
+      },
+      {
+        "id": "rel_006",
+        "source": "task_002",
+        "target": "task_003",
+        "type": "NEXT",
+        "importance": "HIGH",
+        "interaction_prompt": "Restaurant data collection followed by operating hours validation",
+        "interaction_prompt_ref": [
+          {
+            "line_start": 45,
+            "line_end": 50,
+            "confidence": 0.85
+          }
+        ]
+      },
+      {
+        "id": "rel_007",
+        "source": "task_003",
+        "target": "output_001",
+        "type": "PRODUCES",
+        "importance": "HIGH",
+        "interaction_prompt": "Validation task produces final restaurant recommendations",
+        "interaction_prompt_ref": [
+          {
+            "line_start": 90,
+            "line_end": 95,
+            "confidence": 0.92
+          }
+        ]
+      },
+      {
+        "id": "rel_008",
+        "source": "output_001",
+        "target": "human_001",
+        "type": "DELIVERS_TO",
+        "importance": "HIGH",
+        "interaction_prompt": "Restaurant recommendations delivered to end user",
+        "interaction_prompt_ref": [
+          {
+            "line_start": 95,
+            "line_end": 100,
+            "confidence": 0.93
+          }
+        ]
+      },
+      {
+        "id": "rel_009",
+        "source": "agent_004",
+        "target": "task_001",
+        "type": "REQUIRED_BY",
+        "importance": "MEDIUM",
+        "interaction_prompt": "Computational task requires Computer Terminal for execution",
+        "interaction_prompt_ref": [
+          {
+            "line_start": 20,
+            "line_end": 25,
+            "confidence": 0.8
+          }
+        ]
+      },
+      {
+        "id": "rel_uses_computer",
+        "source": "agent_001",
+        "target": "agent_004",
+        "type": "USES",
+        "importance": "MEDIUM",
+        "interaction_prompt": "Agent uses Computer Terminal for computational tasks",
+        "interaction_prompt_ref": [
+          {
+            "line_start": 50,
+            "line_end": 55,
+            "confidence": 0.8
+          }
+        ]
+      }
+    ],
+    "failures": [
+      {
+        "id": "failure_001",
+        "description": "Data Verification Expert failed to properly validate restaurant operating hours due to incorrect Python code implementation, leading to inaccurate 11pm availability data",
+        "raw_text": "",
+        "raw_text_ref": [
+          {
+            "line_start": 60,
+            "line_end": 65,
+            "confidence": 0.9
+          }
+        ],
+        "affected_id": "agent_003",
+        "risk_type": "EXECUTION_ERROR"
+      },
+      {
+        "id": "failure_002",
+        "description": "Location-Based Services Expert encountered API limitations when accessing real-time restaurant data, resulting in incomplete proximity analysis",
+        "raw_text": "",
+        "raw_text_ref": [
+          {
+            "line_start": 18,
+            "line_end": 22,
+            "confidence": 0.85
+          }
+        ],
+        "affected_id": "agent_001",
+        "risk_type": "RETRIEVAL_ERROR"
+      }
+    ],
+    "optimizations": [
+      {
+        "id": "opt_001",
+        "description": "Enhance location-based services with caching mechanisms and fallback data sources to improve reliability and reduce API dependency",
+        "raw_text": "Implement robust location service tools with redundancy",
+        "raw_text_ref": [
+          {
+            "line_start": 15,
+            "line_end": 25,
+            "confidence": 0.88
+          }
+        ],
+        "affected_ids": [
+          "agent_001"
+        ],
+        "recommendation_type": "TOOL_ENHANCEMENT"
+      },
+      {
+        "id": "opt_002",
+        "description": "Combine restaurant data collection and operating hours validation into a single integrated task to reduce coordination overhead and improve data consistency",
+        "raw_text": "Merge data collection and validation workflows",
+        "raw_text_ref": [
+          {
+            "line_start": 35,
+            "line_end": 65,
+            "confidence": 0.82
+          }
+        ],
+        "affected_ids": [
+          "agent_002",
+          "agent_003",
+          "task_002",
+          "task_003"
+        ],
+        "recommendation_type": "WORKFLOW_SIMPLIFICATION"
+      },
+      {
+        "id": "opt_003",
+        "description": "Refine Data Verification Expert prompts to include specific error handling and validation procedures for time-sensitive restaurant data",
+        "raw_text": "Improve validation prompts with error handling",
+        "raw_text_ref": [
+          {
+            "line_start": 55,
+            "line_end": 65,
+            "confidence": 0.85
+          }
+        ],
+        "affected_ids": [
+          "agent_003"
+        ],
+        "recommendation_type": "PROMPT_REFINEMENT"
+      }
+    ],
+    "metadata": {
+      "window_info": {
+        "window_index": 2,
+        "window_total": 3,
+        "window_name": "Complete Processing Stage",
+        "processing_stage": "完整处理阶段",
+        "trace_id": "algorithm_sample_1",
+        "processing_run_id": "sample_replay_001",
+        "window_start_char": 15616,
+        "window_end_char": 26025,
+        "entity_count": 10,
+        "relation_count": 10,
+        "failure_count": 2,
+        "optimization_count": 3,
+        "created_at": "2025-09-01T20:30:56.632700"
+      }
+    }
+  },
+  "extraction_info": {
+    "method": "enhanced_mock_creation",
+    "model": "human_designed",
+    "timestamp": "2025-01-27",
+    "api_key_used": "[REDACTED]",
+    "no_enhancement": false,
+    "source": "manual_design_for_demo"
+  },
+  "window_index": 2,
+  "window_total": 3,
+  "window_start_char": 15616,
+  "window_end_char": 26025,
+  "processing_run_id": "sample_replay_001",
+  "trace_id": "algorithm_sample_1",
+  "is_final": false
+}

backend/database/samples/samples_config.json

@@ -77,8 +77,31 @@
         "multi_source_validation",
         "real_world_constraints",
         "execution_error_analysis",
-        "tool_enhancement_recommendations"
-      ]
+        "tool_enhancement_recommendations",
+        "temporal_replay",
+        "progressive_knowledge_evolution",
+        "window_based_visualization"
+      ],
+      "supports_replay": true,
+      "window_info": {
+        "window_count": 3,
+        "processing_run_id": "sample_replay_001",
+        "window_files": [
+          "knowledge_graphs/kg_algorithm_sample_1_window_0.json",
+          "knowledge_graphs/kg_algorithm_sample_1_window_1.json",
+          "knowledge_graphs/kg_algorithm_sample_1_window_2.json"
+        ],
+        "progression_stages": [
+          "Location Analysis & Initial Query",
+          "Data Collection & Verification",
+          "Result Processing & Delivery"
+        ],
+        "stage_descriptions": [
+          "用户查询处理和位置识别，位置专家开始地理分析",
+          "餐厅专家加入进行数据收集，计算工具提供支持，开始出现验证问题",
+          "数据验证专家完成最终验证，完整的结果处理和交付流程"
+        ]
+      }
     },
     {
       "id": "algorithm_sample_3",
@@ -172,9 +195,9 @@
     }
   ],
   "metadata": {
-    "version": "2.0.0",
+    "version": "2.1.0",
     "created": "2025-01-27",
     "updated": "2025-01-27",
     "description": "Comprehensive AgentGraph sample data showcasing diverse multi-agent interactions across multiple domains including location services, probability theory, academic research, and ecological data analysis"
   }
-}
+}