@mmlotfy/intellicodemcp
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IntelliCodeMCP - Advanced AI Model Context Protocol System for intelligent code management and orchestration
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{
"task_id": "test1",
"task_input": "Test task",
"task_type": "complex",
"priority": "low",
"model": "DeepSeek",
"executions": [
{
"phase": "Inspection",
"output": {
"source": "Skipped",
"message": "Inspection not implemented for DeepSeek"
},
"model": "DeepSeek",
"execution_time_ms": 0.2887000000000626,
"token_usage": 13
},
{
"phase": "Diagnosis",
"output": {
"source": "SmartThink",
"output": {
"problem": "Test task",
"steps": [
{
"agent": "ResearchAgent",
"action": "data_collection",
"output": "Researched Test task. Context: \nSearch Results:\n. Search results: 0 items found."
},
{
"agent": "AnalysisAgent",
"action": "problem_diagnosis",
"output": "Analyzed Test task. Research findings: Researched Test task. Context: \nSearch Results:\n. Search results: 0 items found.. Diagnosis: Feasible with current resources."
},
{
"agent": "SynthesisAgent",
"action": "solution_formulation",
"output": "Solution for Test task: Analyzed Test task. Research findings: Researched Test task. Context: \nSearch Results:\n. Search results: 0 items found.. Diagnosis: Feasible with current resources.. Proposed steps: 1. Implement feature; 2. Test; 3. Deploy."
}
],
"solution": "Solution for Test task: Analyzed Test task. Research findings: Researched Test task. Context: \nSearch Results:\n. Search results: 0 items found.. Diagnosis: Feasible with current resources.. Proposed steps: 1. Implement feature; 2. Test; 3. Deploy.",
"search_results": [],
"timestamp": "2025-06-12T18:46:48.455Z"
},
"context": "Diagnosed with DeepSeek"
},
"model": "DeepSeek",
"execution_time_ms": 14.726999999999862,
"token_usage": 202
},
{
"phase": "Execution",
"output": {
"source": "Generic",
"steps": []
},
"model": "DeepSeek",
"execution_time_ms": 0.4157999999999902,
"token_usage": 6
}
],
"total_time_ms": 29.02279999999996,
"error": null,
"timestamp": "2025-06-12T18:46:48.484Z"
}