add

backend/database/samples/samples_config.json

@@ -24,57 +24,6 @@
         "quality_scoring"
       ]
     },
-    {
-      "id": "algorithm_sample_0",
-      "name": "Multi-Agent Arithmetic Problem Solver",
-      "description": "Real failure case from algorithm-generated dataset showing multi-agent collaboration breakdown. Features ArithmeticProgressions_Expert, Computer_terminal, ProblemSolving_Expert, and Verification_Expert working on season pass savings calculation with verification failures.",
-      "trace_file": "traces/algorithm_sample_0.json",
-      "knowledge_graph_file": "knowledge_graphs/kg_algorithm_sample_0.json",
-      "tags": [
-        "multi_agent",
-        "algorithm_generated",
-        "real_failure",
-        "mathematical_problem_solving",
-        "verification_error",
-        "coordination_failure"
-      ],
-      "complexity": "advanced",
-      "trace_type": "multi_agent_collaboration",
-      "trace_source": "algorithm_generated",
-      "features": [
-        "multi_agent_collaboration",
-        "real_failure_analysis",
-        "complex_reasoning",
-        "agent_coordination",
-        "verification_patterns",
-        "optimization_recommendations",
-        "temporal_replay",
-        "independent_window_analysis",
-        "multi_expert_collaboration"
-      ],
-      "supports_replay": true,
-      "window_info": {
-        "window_count": 3,
-        "processing_run_id": "sample_replay_algo0",
-        "window_files": [
-          "knowledge_graphs/kg_algorithm_sample_0_window_0.json",
-          "knowledge_graphs/kg_algorithm_sample_0_window_1.json",
-          "knowledge_graphs/kg_algorithm_sample_0_window_2.json"
-        ],
-        "progression_stages": [
-          "Problem Intake & Verification Setup",
-          "Expert Analysis & Computation",
-          "Result Generation & Delivery"
-        ],
-        "stage_descriptions": [
-          "用户提交票务查询，验证专家接收并建立验证任务",
-          "问题解决专家和算数专家协作，计算机终端提供技术支持",
-          "任务完成，生成计算结果并交付给公园访客"
-        ],
-        "window_mode": "independent",
-        "window_description": "展示多专家协作的票务成本分析流程，每个窗口代表不同的处理阶段"
-      }
-    },
     {
       "id": "algorithm_sample_1",
       "name": "Location-Based Restaurant Discovery System",
@@ -305,4 +254,4 @@
     "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"
   }
-}
+}