🎬 Complete replay support for all algorithm samples (14 & 16)

backend/database/samples/knowledge_graphs/kg_algorithm_sample_14_window_0.json

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+{
+  "filename": "kg_algorithm_sample_14_window_0.json",
+  "trace_index": 0,
+  "graph_data": {
+    "system_name": "Academic Literature Research System",
+    "system_summary": "This scholarly research system specializes in academic literature analysis combining literary expertise with specialized mythological knowledge. The process begins with an `Academic Research Query` (input_001) about Emily Midkiff's publication, processed by the `Literary Analysis Expert` (agent_001) who performs `Scholarly Article Investigation` (task_001). The `Norse Mythology Expert` (agent_002) contributes specialized knowledge through `Mythological Reference Analysis` (task_002), while the `Verification Expert` (agent_003) handles `Academic Source Validation` (task_003). The `Computer Terminal` (agent_004) provides research tools and database access. The system produces `Comprehensive Literature Analysis` (output_001) delivered to the `Academic Researcher` (human_001), demonstrating interdisciplinary scholarly collaboration.",
+    "entities": [
+      {
+        "id": "input_001",
+        "type": "Input",
+        "name": "Academic Research Query",
+        "importance": "HIGH",
+        "raw_prompt": "Research query about Emily Midkiff's academic publication with Norse mythological connections and journal identification requirements.",
+        "raw_prompt_ref": [
+          {
+            "line_start": 1,
+            "line_end": 5,
+            "confidence": 0.98
+          }
+        ]
+      },
+      {
+        "id": "agent_001",
+        "type": "Agent",
+        "name": "Literary Analysis Expert",
+        "importance": "HIGH",
+        "raw_prompt": "Specialist in literary analysis, academic writing, and scholarly publication research. Expert in analyzing academic papers, identifying key themes, and conducting literature reviews.",
+        "raw_prompt_ref": [
+          {
+            "line_start": 15,
+            "line_end": 30,
+            "confidence": 0.95
+          }
+        ]
+      },
+      {
+        "id": "task_001",
+        "type": "Task",
+        "name": "Scholarly Article Investigation",
+        "importance": "HIGH",
+        "raw_prompt": "Investigate Emily Midkiff's June 2014 article, analyze its content, and identify key academic contributions and methodologies.",
+        "raw_prompt_ref": [
+          {
+            "line_start": 5,
+            "line_end": 15,
+            "confidence": 0.97
+          }
+        ]
+      },
+      {
+        "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": 90,
+            "line_end": 95,
+            "confidence": 0.84
+          }
+        ]
+      }
+    ],
+    "relations": [
+      {
+        "id": "rel_001",
+        "source": "input_001",
+        "target": "agent_001",
+        "type": "CONSUMED_BY",
+        "importance": "HIGH",
+        "interaction_prompt": "Academic research query consumed by Literary Analysis Expert",
+        "interaction_prompt_ref": [
+          {
+            "line_start": 5,
+            "line_end": 10,
+            "confidence": 0.95
+          }
+        ]
+      },
+      {
+        "id": "rel_002",
+        "source": "agent_001",
+        "target": "task_001",
+        "type": "PERFORMS",
+        "importance": "HIGH",
+        "interaction_prompt": "Literary Analysis Expert performs scholarly article investigation",
+        "interaction_prompt_ref": [
+          {
+            "line_start": 15,
+            "line_end": 30,
+            "confidence": 0.92
+          }
+        ]
+      },
+      {
+        "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": [],
+    "optimizations": [],
+    "metadata": {
+      "window_info": {
+        "window_index": 0,
+        "window_total": 3,
+        "window_name": "Literature Investigation",
+        "processing_stage": "文献调研",
+        "trace_id": "algorithm_sample_14",
+        "processing_run_id": "sample_replay_algo14",
+        "entity_count": 4,
+        "relation_count": 3,
+        "failure_count": 0,
+        "optimization_count": 0,
+        "created_at": "2025-09-01T23:03:54.816221",
+        "window_type": "independent_optimized"
+      }
+    }
+  },
+  "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,
+  "processing_run_id": "sample_replay_algo14",
+  "trace_id": "algorithm_sample_14",
+  "is_final": false
+}

backend/database/samples/knowledge_graphs/kg_algorithm_sample_14_window_1.json

@@ -0,0 +1,86 @@
+{
+  "filename": "kg_algorithm_sample_14_window_1.json",
+  "trace_index": 0,
+  "graph_data": {
+    "system_name": "Academic Literature Research System",
+    "system_summary": "This scholarly research system specializes in academic literature analysis combining literary expertise with specialized mythological knowledge. The process begins with an `Academic Research Query` (input_001) about Emily Midkiff's publication, processed by the `Literary Analysis Expert` (agent_001) who performs `Scholarly Article Investigation` (task_001). The `Norse Mythology Expert` (agent_002) contributes specialized knowledge through `Mythological Reference Analysis` (task_002), while the `Verification Expert` (agent_003) handles `Academic Source Validation` (task_003). The `Computer Terminal` (agent_004) provides research tools and database access. The system produces `Comprehensive Literature Analysis` (output_001) delivered to the `Academic Researcher` (human_001), demonstrating interdisciplinary scholarly collaboration.",
+    "entities": [
+      {
+        "id": "agent_002",
+        "type": "Agent",
+        "name": "Norse Mythology Expert",
+        "importance": "HIGH",
+        "raw_prompt": "Expert in Norse mythology, Scandinavian folklore, and mythological references. Specialized knowledge of characters like Hreidmar's sons and mythological narratives.",
+        "raw_prompt_ref": [
+          {
+            "line_start": 40,
+            "line_end": 55,
+            "confidence": 0.92
+          }
+        ]
+      },
+      {
+        "id": "task_002",
+        "type": "Task",
+        "name": "Mythological Reference Analysis",
+        "importance": "HIGH",
+        "raw_prompt": "Analyze Norse mythological references, particularly regarding Hreidmar's sons, and provide cultural and literary context.",
+        "raw_prompt_ref": [
+          {
+            "line_start": 30,
+            "line_end": 45,
+            "confidence": 0.93
+          }
+        ]
+      }
+    ],
+    "relations": [
+      {
+        "id": "rel_003",
+        "source": "agent_002",
+        "target": "task_002",
+        "type": "PERFORMS",
+        "importance": "HIGH",
+        "interaction_prompt": "Norse Mythology Expert performs mythological reference analysis",
+        "interaction_prompt_ref": [
+          {
+            "line_start": 40,
+            "line_end": 55,
+            "confidence": 0.89
+          }
+        ]
+      }
+    ],
+    "failures": [],
+    "optimizations": [],
+    "metadata": {
+      "window_info": {
+        "window_index": 1,
+        "window_total": 3,
+        "window_name": "Mythological Analysis",
+        "processing_stage": "神话学分析",
+        "trace_id": "algorithm_sample_14",
+        "processing_run_id": "sample_replay_algo14",
+        "entity_count": 2,
+        "relation_count": 1,
+        "failure_count": 0,
+        "optimization_count": 0,
+        "created_at": "2025-09-01T23:03:54.816673",
+        "window_type": "independent_optimized"
+      }
+    }
+  },
+  "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,
+  "processing_run_id": "sample_replay_algo14",
+  "trace_id": "algorithm_sample_14",
+  "is_final": false
+}

backend/database/samples/knowledge_graphs/kg_algorithm_sample_14_window_2.json

@@ -0,0 +1,144 @@
+{
+  "filename": "kg_algorithm_sample_14_window_2.json",
+  "trace_index": 0,
+  "graph_data": {
+    "system_name": "Academic Literature Research System",
+    "system_summary": "This scholarly research system specializes in academic literature analysis combining literary expertise with specialized mythological knowledge. The process begins with an `Academic Research Query` (input_001) about Emily Midkiff's publication, processed by the `Literary Analysis Expert` (agent_001) who performs `Scholarly Article Investigation` (task_001). The `Norse Mythology Expert` (agent_002) contributes specialized knowledge through `Mythological Reference Analysis` (task_002), while the `Verification Expert` (agent_003) handles `Academic Source Validation` (task_003). The `Computer Terminal` (agent_004) provides research tools and database access. The system produces `Comprehensive Literature Analysis` (output_001) delivered to the `Academic Researcher` (human_001), demonstrating interdisciplinary scholarly collaboration.",
+    "entities": [
+      {
+        "id": "agent_003",
+        "type": "Agent",
+        "name": "Verification Expert",
+        "importance": "HIGH",
+        "raw_prompt": "Responsible for validating academic sources, cross-referencing citations, and ensuring scholarly accuracy across multiple research domains.",
+        "raw_prompt_ref": [
+          {
+            "line_start": 65,
+            "line_end": 80,
+            "confidence": 0.88
+          }
+        ]
+      },
+      {
+        "id": "task_003",
+        "type": "Task",
+        "name": "Academic Source Validation",
+        "importance": "HIGH",
+        "raw_prompt": "Validate academic sources, verify publication details, and ensure accuracy of scholarly references and citations.",
+        "raw_prompt_ref": [
+          {
+            "line_start": 55,
+            "line_end": 70,
+            "confidence": 0.89
+          }
+        ]
+      },
+      {
+        "id": "output_001",
+        "type": "Output",
+        "name": "Comprehensive Literature Analysis",
+        "importance": "HIGH",
+        "raw_prompt": "Detailed academic analysis combining literary scholarship and mythological expertise with validated sources and cross-references.",
+        "raw_prompt_ref": [
+          {
+            "line_start": 105,
+            "line_end": 110,
+            "confidence": 0.94
+          }
+        ]
+      },
+      {
+        "id": "human_001",
+        "type": "Human",
+        "name": "Academic Researcher",
+        "importance": "HIGH",
+        "raw_prompt": "Scholar seeking detailed information about specific academic publications and their mythological or literary connections.",
+        "raw_prompt_ref": [
+          {
+            "line_start": 1,
+            "line_end": 1,
+            "confidence": 0.96
+          }
+        ]
+      }
+    ],
+    "relations": [
+      {
+        "id": "rel_004",
+        "source": "agent_003",
+        "target": "task_003",
+        "type": "PERFORMS",
+        "importance": "HIGH",
+        "interaction_prompt": "Verification Expert performs academic source validation",
+        "interaction_prompt_ref": [
+          {
+            "line_start": 65,
+            "line_end": 80,
+            "confidence": 0.86
+          }
+        ]
+      },
+      {
+        "id": "rel_007",
+        "source": "task_003",
+        "target": "output_001",
+        "type": "PRODUCES",
+        "importance": "HIGH",
+        "interaction_prompt": "Validation process produces comprehensive literature analysis",
+        "interaction_prompt_ref": [
+          {
+            "line_start": 105,
+            "line_end": 110,
+            "confidence": 0.91
+          }
+        ]
+      },
+      {
+        "id": "rel_008",
+        "source": "output_001",
+        "target": "human_001",
+        "type": "DELIVERS_TO",
+        "importance": "HIGH",
+        "interaction_prompt": "Literature analysis delivered to academic researcher",
+        "interaction_prompt_ref": [
+          {
+            "line_start": 110,
+            "line_end": 115,
+            "confidence": 0.93
+          }
+        ]
+      }
+    ],
+    "failures": [],
+    "optimizations": [],
+    "metadata": {
+      "window_info": {
+        "window_index": 2,
+        "window_total": 3,
+        "window_name": "Academic Validation",
+        "processing_stage": "学术验证",
+        "trace_id": "algorithm_sample_14",
+        "processing_run_id": "sample_replay_algo14",
+        "entity_count": 4,
+        "relation_count": 3,
+        "failure_count": 0,
+        "optimization_count": 0,
+        "created_at": "2025-09-01T23:03:54.816963",
+        "window_type": "independent_optimized"
+      }
+    }
+  },
+  "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,
+  "processing_run_id": "sample_replay_algo14",
+  "trace_id": "algorithm_sample_14",
+  "is_final": false
+}

backend/database/samples/knowledge_graphs/kg_algorithm_sample_16_window_0.json

@@ -0,0 +1,144 @@
+{
+  "filename": "kg_algorithm_sample_16_window_0.json",
+  "trace_index": 0,
+  "graph_data": {
+    "system_name": "Wildlife Data Analysis and Ecological Monitoring System",
+    "system_summary": "This comprehensive ecological data analysis system specializes in processing government wildlife datasets and invasive species monitoring. The workflow begins with an `Invasive Species Data Request` (input_001) regarding Florida crocodile populations, processed by the `Data Analysis Expert` (agent_001) who performs `Government Dataset Processing` (task_001). The `Statistical Analysis Expert` (agent_002) conducts `Population Statistics Calculation` (task_002), while the `Data Verification Expert` (agent_003) handles `Ecological Data Validation` (task_003). The `Computer Terminal` (agent_004) provides data processing and analytical tools. The system produces `Validated Ecological Statistics` (output_001) delivered to the `Wildlife Researcher` (human_001), demonstrating the application of data science in ecological research and conservation efforts.",
+    "entities": [
+      {
+        "id": "input_001",
+        "type": "Input",
+        "name": "Invasive Species Data Request",
+        "importance": "HIGH",
+        "raw_prompt": "Research query about nonindigenous crocodile populations in Florida over a 20-year period requiring government dataset analysis.",
+        "raw_prompt_ref": [
+          {
+            "line_start": 1,
+            "line_end": 5,
+            "confidence": 0.98
+          }
+        ]
+      },
+      {
+        "id": "agent_001",
+        "type": "Agent",
+        "name": "Data Analysis Expert",
+        "importance": "HIGH",
+        "raw_prompt": "Specialist in large-scale data analysis, government dataset processing, and ecological data interpretation. Expert in handling USGS datasets and wildlife monitoring data.",
+        "raw_prompt_ref": [
+          {
+            "line_start": 18,
+            "line_end": 35,
+            "confidence": 0.94
+          }
+        ]
+      },
+      {
+        "id": "task_001",
+        "type": "Task",
+        "name": "Government Dataset Processing",
+        "importance": "HIGH",
+        "raw_prompt": "Process USGS and government wildlife datasets, extract Florida crocodile data from 2000-2020, and prepare data for statistical analysis.",
+        "raw_prompt_ref": [
+          {
+            "line_start": 8,
+            "line_end": 18,
+            "confidence": 0.96
+          }
+        ]
+      },
+      {
+        "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": 95,
+            "line_end": 100,
+            "confidence": 0.83
+          }
+        ]
+      }
+    ],
+    "relations": [
+      {
+        "id": "rel_001",
+        "source": "input_001",
+        "target": "agent_001",
+        "type": "CONSUMED_BY",
+        "importance": "HIGH",
+        "interaction_prompt": "Invasive species data request consumed by Data Analysis Expert",
+        "interaction_prompt_ref": [
+          {
+            "line_start": 5,
+            "line_end": 10,
+            "confidence": 0.94
+          }
+        ]
+      },
+      {
+        "id": "rel_002",
+        "source": "agent_001",
+        "target": "task_001",
+        "type": "PERFORMS",
+        "importance": "HIGH",
+        "interaction_prompt": "Data Analysis Expert performs government dataset processing",
+        "interaction_prompt_ref": [
+          {
+            "line_start": 18,
+            "line_end": 35,
+            "confidence": 0.91
+          }
+        ]
+      },
+      {
+        "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": [],
+    "optimizations": [],
+    "metadata": {
+      "window_info": {
+        "window_index": 0,
+        "window_total": 3,
+        "window_name": "Data Processing",
+        "processing_stage": "数据处理",
+        "trace_id": "algorithm_sample_16",
+        "processing_run_id": "sample_replay_algo16",
+        "entity_count": 4,
+        "relation_count": 3,
+        "failure_count": 0,
+        "optimization_count": 0,
+        "created_at": "2025-09-01T23:03:54.817470",
+        "window_type": "independent_optimized"
+      }
+    }
+  },
+  "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,
+  "processing_run_id": "sample_replay_algo16",
+  "trace_id": "algorithm_sample_16",
+  "is_final": false
+}

backend/database/samples/knowledge_graphs/kg_algorithm_sample_16_window_1.json

@@ -0,0 +1,86 @@
+{
+  "filename": "kg_algorithm_sample_16_window_1.json",
+  "trace_index": 0,
+  "graph_data": {
+    "system_name": "Wildlife Data Analysis and Ecological Monitoring System",
+    "system_summary": "This comprehensive ecological data analysis system specializes in processing government wildlife datasets and invasive species monitoring. The workflow begins with an `Invasive Species Data Request` (input_001) regarding Florida crocodile populations, processed by the `Data Analysis Expert` (agent_001) who performs `Government Dataset Processing` (task_001). The `Statistical Analysis Expert` (agent_002) conducts `Population Statistics Calculation` (task_002), while the `Data Verification Expert` (agent_003) handles `Ecological Data Validation` (task_003). The `Computer Terminal` (agent_004) provides data processing and analytical tools. The system produces `Validated Ecological Statistics` (output_001) delivered to the `Wildlife Researcher` (human_001), demonstrating the application of data science in ecological research and conservation efforts.",
+    "entities": [
+      {
+        "id": "agent_002",
+        "type": "Agent",
+        "name": "Statistical Analysis Expert",
+        "importance": "HIGH",
+        "raw_prompt": "Expert in statistical methods for ecological data, population analysis, and trend detection in wildlife datasets. Specialized in time-series analysis and population dynamics.",
+        "raw_prompt_ref": [
+          {
+            "line_start": 45,
+            "line_end": 60,
+            "confidence": 0.91
+          }
+        ]
+      },
+      {
+        "id": "task_002",
+        "type": "Task",
+        "name": "Population Statistics Calculation",
+        "importance": "HIGH",
+        "raw_prompt": "Calculate population statistics for nonindigenous crocodiles, analyze temporal trends, and generate summary statistics for the specified time period.",
+        "raw_prompt_ref": [
+          {
+            "line_start": 35,
+            "line_end": 50,
+            "confidence": 0.92
+          }
+        ]
+      }
+    ],
+    "relations": [
+      {
+        "id": "rel_003",
+        "source": "agent_002",
+        "target": "task_002",
+        "type": "PERFORMS",
+        "importance": "HIGH",
+        "interaction_prompt": "Statistical Analysis Expert performs population statistics calculation",
+        "interaction_prompt_ref": [
+          {
+            "line_start": 45,
+            "line_end": 60,
+            "confidence": 0.88
+          }
+        ]
+      }
+    ],
+    "failures": [],
+    "optimizations": [],
+    "metadata": {
+      "window_info": {
+        "window_index": 1,
+        "window_total": 3,
+        "window_name": "Statistical Analysis",
+        "processing_stage": "统计分析",
+        "trace_id": "algorithm_sample_16",
+        "processing_run_id": "sample_replay_algo16",
+        "entity_count": 2,
+        "relation_count": 1,
+        "failure_count": 0,
+        "optimization_count": 0,
+        "created_at": "2025-09-01T23:03:54.817836",
+        "window_type": "independent_optimized"
+      }
+    }
+  },
+  "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,
+  "processing_run_id": "sample_replay_algo16",
+  "trace_id": "algorithm_sample_16",
+  "is_final": false
+}

backend/database/samples/knowledge_graphs/kg_algorithm_sample_16_window_2.json

@@ -0,0 +1,144 @@
+{
+  "filename": "kg_algorithm_sample_16_window_2.json",
+  "trace_index": 0,
+  "graph_data": {
+    "system_name": "Wildlife Data Analysis and Ecological Monitoring System",
+    "system_summary": "This comprehensive ecological data analysis system specializes in processing government wildlife datasets and invasive species monitoring. The workflow begins with an `Invasive Species Data Request` (input_001) regarding Florida crocodile populations, processed by the `Data Analysis Expert` (agent_001) who performs `Government Dataset Processing` (task_001). The `Statistical Analysis Expert` (agent_002) conducts `Population Statistics Calculation` (task_002), while the `Data Verification Expert` (agent_003) handles `Ecological Data Validation` (task_003). The `Computer Terminal` (agent_004) provides data processing and analytical tools. The system produces `Validated Ecological Statistics` (output_001) delivered to the `Wildlife Researcher` (human_001), demonstrating the application of data science in ecological research and conservation efforts.",
+    "entities": [
+      {
+        "id": "agent_003",
+        "type": "Agent",
+        "name": "Data Verification Expert",
+        "importance": "HIGH",
+        "raw_prompt": "Responsible for validating ecological datasets, cross-referencing multiple data sources, and ensuring accuracy of wildlife population statistics and temporal data.",
+        "raw_prompt_ref": [
+          {
+            "line_start": 70,
+            "line_end": 85,
+            "confidence": 0.87
+          }
+        ]
+      },
+      {
+        "id": "task_003",
+        "type": "Task",
+        "name": "Ecological Data Validation",
+        "importance": "HIGH",
+        "raw_prompt": "Validate wildlife population data against multiple sources, verify temporal consistency, and ensure accuracy of invasive species counts.",
+        "raw_prompt_ref": [
+          {
+            "line_start": 60,
+            "line_end": 75,
+            "confidence": 0.88
+          }
+        ]
+      },
+      {
+        "id": "output_001",
+        "type": "Output",
+        "name": "Validated Ecological Statistics",
+        "importance": "HIGH",
+        "raw_prompt": "Comprehensive statistical analysis of invasive crocodile populations with validated counts, temporal trends, and data quality assessments.",
+        "raw_prompt_ref": [
+          {
+            "line_start": 110,
+            "line_end": 115,
+            "confidence": 0.93
+          }
+        ]
+      },
+      {
+        "id": "human_001",
+        "type": "Human",
+        "name": "Wildlife Researcher",
+        "importance": "HIGH",
+        "raw_prompt": "Ecological researcher seeking quantitative data on invasive species populations for conservation or research purposes.",
+        "raw_prompt_ref": [
+          {
+            "line_start": 1,
+            "line_end": 1,
+            "confidence": 0.95
+          }
+        ]
+      }
+    ],
+    "relations": [
+      {
+        "id": "rel_004",
+        "source": "agent_003",
+        "target": "task_003",
+        "type": "PERFORMS",
+        "importance": "HIGH",
+        "interaction_prompt": "Data Verification Expert performs ecological data validation",
+        "interaction_prompt_ref": [
+          {
+            "line_start": 70,
+            "line_end": 85,
+            "confidence": 0.85
+          }
+        ]
+      },
+      {
+        "id": "rel_007",
+        "source": "task_003",
+        "target": "output_001",
+        "type": "PRODUCES",
+        "importance": "HIGH",
+        "interaction_prompt": "Validation process produces final ecological statistics",
+        "interaction_prompt_ref": [
+          {
+            "line_start": 110,
+            "line_end": 115,
+            "confidence": 0.9
+          }
+        ]
+      },
+      {
+        "id": "rel_008",
+        "source": "output_001",
+        "target": "human_001",
+        "type": "DELIVERS_TO",
+        "importance": "HIGH",
+        "interaction_prompt": "Validated statistics delivered to wildlife researcher",
+        "interaction_prompt_ref": [
+          {
+            "line_start": 115,
+            "line_end": 120,
+            "confidence": 0.92
+          }
+        ]
+      }
+    ],
+    "failures": [],
+    "optimizations": [],
+    "metadata": {
+      "window_info": {
+        "window_index": 2,
+        "window_total": 3,
+        "window_name": "Ecological Validation",
+        "processing_stage": "生态验证",
+        "trace_id": "algorithm_sample_16",
+        "processing_run_id": "sample_replay_algo16",
+        "entity_count": 4,
+        "relation_count": 3,
+        "failure_count": 0,
+        "optimization_count": 0,
+        "created_at": "2025-09-01T23:03:54.818081",
+        "window_type": "independent_optimized"
+      }
+    }
+  },
+  "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,
+  "processing_run_id": "sample_replay_algo16",
+  "trace_id": "algorithm_sample_16",
+  "is_final": false
+}

backend/database/samples/samples_config.json

@@ -215,8 +215,33 @@
         "interdisciplinary_coordination",
         "retrieval_error_analysis",
         "database_tool_enhancement",
-        "workflow_integration"
-      ]
+        "workflow_integration",
+        "temporal_replay",
+        "independent_window_analysis",
+        "specialized_expert_workflow"
+      ],
+      "supports_replay": true,
+      "window_info": {
+        "window_count": 3,
+        "processing_run_id": "sample_replay_algo14",
+        "window_files": [
+          "knowledge_graphs/kg_algorithm_sample_14_window_0.json",
+          "knowledge_graphs/kg_algorithm_sample_14_window_1.json",
+          "knowledge_graphs/kg_algorithm_sample_14_window_2.json"
+        ],
+        "progression_stages": [
+          "Literature Investigation",
+          "Mythological Analysis",
+          "Academic Validation"
+        ],
+        "stage_descriptions": [
+          "文学分析专家接收查询并进行学术文章调研",
+          "北欧神话专家进行神话参考文献分析",
+          "验证专家进行学术来源验证并交付研究结果"
+        ],
+        "window_mode": "independent",
+        "window_description": "展示学术文献研究的多专业协作流程，每个窗口聚焦不同的研究领域"
+      }
     },
     {
       "id": "algorithm_sample_16",
@@ -245,12 +270,37 @@
         "invasive_species_monitoring",
         "data_retrieval_challenges",
         "pipeline_optimization",
-        "conservation_applications"
-      ]
+        "conservation_applications",
+        "temporal_replay",
+        "independent_window_analysis",
+        "specialized_expert_workflow"
+      ],
+      "supports_replay": true,
+      "window_info": {
+        "window_count": 3,
+        "processing_run_id": "sample_replay_algo16",
+        "window_files": [
+          "knowledge_graphs/kg_algorithm_sample_16_window_0.json",
+          "knowledge_graphs/kg_algorithm_sample_16_window_1.json",
+          "knowledge_graphs/kg_algorithm_sample_16_window_2.json"
+        ],
+        "progression_stages": [
+          "Data Processing",
+          "Statistical Analysis",
+          "Ecological Validation"
+        ],
+        "stage_descriptions": [
+          "数据分析专家接收查询并处理政府数据集",
+          "统计分析专家进行种群统计计算",
+          "数据验证专家进行生态数据验证并交付结果"
+        ],
+        "window_mode": "independent",
+        "window_description": "展示野生动物数据分析的专业化处理流程，每个窗口代表不同的分析阶段"
+      }
     }
   ],
   "metadata": {
-    "version": "2.3.0",
+    "version": "2.4.0",
     "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"