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<mindx:interactions xmlns:mindx="https://mindx.pythai.net/ns/interactions" generated="1791096083.0910525" count="60" total="400" ok_rate="0.055" avg_latency_ms="1835.6">
  <interaction id="i1791096066-1042" ts="1791096066.3773751" agent="llm_adapter" model="qwen3:1.7b" provider="ollama" latency_ms="0.2" ok="false"><prompt>Given an evaluation criteria which outlines how you should judge the Input and Actual Output, generate 3-4 concise evaluation steps based on the criteria below. You MUST make it clear how to evaluate Input and Actual Output in relation to one another. Evaluation Criteria: Does the chosen option directly address the stated problem? Is the rationale internally coherent, free of contradiction, and grounded in the optio…</prompt><response></response></interaction>
  <interaction id="i1791096048-1041" ts="1791096048.5351434" agent="llm_adapter" model="qwen3:1.7b" provider="ollama" latency_ms="0.1" ok="false"><prompt>Given an evaluation criteria which outlines how you should judge the Input and Actual Output, generate 3-4 concise evaluation steps based on the criteria below. You MUST make it clear how to evaluate Input and Actual Output in relation to one another. Evaluation Criteria: Given the perception/problem and the options considered, is the chosen option a well-justified SELECTION among those options — i.e. the most suita…</prompt><response></response></interaction>
  <interaction id="i1791095943-1040" ts="1791095943.3081923" agent="system_analyzer_tool" model="gpt-oss:120b-cloud" provider="ollama" latency_ms="321.1" ok="false"><prompt>You are a Senior Systems Architect AI analyzing the MindX self-improving system. Your goal is to identify the most impactful areas for improvement based on the following system snapshot. **System State Snapshot:** ```json { "performance_metrics": {}, "resource_usage": { "cpu": 54.5, "governor": { "cpu_ceiling": 99.0, "configured_ceiling": 99.0, "cpu_temp_c": null, "max_cpu_temp_c": 85.0, "inference_cores": 2, "over_…</prompt><response></response></interaction>
  <interaction id="i1791095942-1039" ts="1791095942.878683" agent="system_analyzer_tool" model="gpt-oss:120b-cloud" provider="ollama" latency_ms="491.6" ok="false"><prompt>You are a Senior Systems Architect AI analyzing the MindX self-improving system. Your goal is to identify the most impactful areas for improvement based on the following system snapshot. **System State Snapshot:** ```json { "performance_metrics": {}, "resource_usage": { "cpu": 39.1, "governor": { "cpu_ceiling": 99.0, "configured_ceiling": 99.0, "cpu_temp_c": null, "max_cpu_temp_c": 85.0, "inference_cores": 2, "over_…</prompt><response></response></interaction>
  <interaction id="i1791095942-1038" ts="1791095942.3004851" agent="system_analyzer_tool" model="gpt-oss:120b-cloud" provider="ollama" latency_ms="347.3" ok="false"><prompt>You are a Senior Systems Architect AI analyzing the MindX self-improving system. Your goal is to identify the most impactful areas for improvement based on the following system snapshot. **System State Snapshot:** ```json { "performance_metrics": {}, "resource_usage": { "cpu": 39.1, "governor": { "cpu_ceiling": 99.0, "configured_ceiling": 99.0, "cpu_temp_c": null, "max_cpu_temp_c": 85.0, "inference_cores": 2, "over_…</prompt><response></response></interaction>
  <interaction id="i1791095941-1037" ts="1791095941.905858" agent="system_analyzer_tool" model="gpt-oss:120b-cloud" provider="ollama" latency_ms="299.8" ok="false"><prompt>You are a Senior Systems Architect AI analyzing the MindX self-improving system. Your goal is to identify the most impactful areas for improvement based on the following system snapshot. **System State Snapshot:** ```json { "performance_metrics": {}, "resource_usage": { "cpu": 39.1, "governor": { "cpu_ceiling": 99.0, "configured_ceiling": 99.0, "cpu_temp_c": null, "max_cpu_temp_c": 85.0, "inference_cores": 2, "over_…</prompt><response></response></interaction>
  <interaction id="i1791095941-1036" ts="1791095941.357184" agent="system_analyzer_tool" model="gpt-oss:120b-cloud" provider="ollama" latency_ms="818.9" ok="false"><prompt>You are a Senior Systems Architect AI analyzing the MindX self-improving system. Your goal is to identify the most impactful areas for improvement based on the following system snapshot. **System State Snapshot:** ```json { "performance_metrics": {}, "resource_usage": { "cpu": 39.1, "governor": { "cpu_ceiling": 99.0, "configured_ceiling": 99.0, "cpu_temp_c": null, "max_cpu_temp_c": 85.0, "inference_cores": 2, "over_…</prompt><response></response></interaction>
  <interaction id="i1791095927-1035" ts="1791095927.6586277" agent="llm_adapter" model="qwen3:1.7b" provider="ollama" latency_ms="0.3" ok="false"><prompt>Given an evaluation criteria which outlines how you should judge the Input and Actual Output, generate 3-4 concise evaluation steps based on the criteria below. You MUST make it clear how to evaluate Input and Actual Output in relation to one another. Evaluation Criteria: Given the perception/problem and the options considered, is the chosen option a well-justified SELECTION among those options — i.e. the most suita…</prompt><response></response></interaction>
  <interaction id="i1791095916-1034" ts="1791095916.5490499" agent="blueprint_agent" model="nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free" provider="openrouter" latency_ms="784.4" ok="false"><prompt>You are a Chief Architect AI for the MindX Self-Improving System (Project Chimaiera). Your philosophical goals are **Resilience** and **Perpetuity**. Analyze the current system state and define a strategic blueprint for the NEXT evolution. Current MindX System State: { "timestamp": 1791095915.7633884, "mindx_version": "0.4.0", "cognitive_resources": { "available_providers": [ "ollama", "grok", "vllm", "together", "o…</prompt><response></response></interaction>
  <interaction id="i1791095828-1033" ts="1791095828.653113" agent="llm_adapter" model="qwen3:1.7b" provider="ollama" latency_ms="0.2" ok="false"><prompt>Given an evaluation criteria which outlines how you should judge the Input and Actual Output, generate 3-4 concise evaluation steps based on the criteria below. You MUST make it clear how to evaluate Input and Actual Output in relation to one another. Evaluation Criteria: Given the perception/problem and the options considered, is the chosen option a well-justified SELECTION among those options — i.e. the most suita…</prompt><response></response></interaction>
  <interaction id="i1791095769-1032" ts="1791095769.579083" agent="llm_adapter" model="qwen3:1.7b" provider="ollama" latency_ms="0.4" ok="false"><prompt>Given an evaluation criteria which outlines how you should judge the Input and Actual Output, generate 3-4 concise evaluation steps based on the criteria below. You MUST make it clear how to evaluate Input and Actual Output in relation to one another. Evaluation Criteria: Given the perception/problem and the options considered, is the chosen option a well-justified SELECTION among those options — i.e. the most suita…</prompt><response></response></interaction>
  <interaction id="i1791095706-1031" ts="1791095706.0018053" agent="llm_adapter" model="qwen3:1.7b" provider="ollama" latency_ms="0.2" ok="false"><prompt>Given an evaluation criteria which outlines how you should judge the Input and Actual Output, generate 3-4 concise evaluation steps based on the criteria below. You MUST make it clear how to evaluate Input and Actual Output in relation to one another. Evaluation Criteria: Given the perception/problem and the options considered, is the chosen option a well-justified SELECTION among those options — i.e. the most suita…</prompt><response></response></interaction>
  <interaction id="i1791095586-1030" ts="1791095586.5587933" agent="llm_adapter" model="qwen3:1.7b" provider="ollama" latency_ms="0.2" ok="false"><prompt>Given an evaluation criteria which outlines how you should judge the Input and Actual Output, generate 3-4 concise evaluation steps based on the criteria below. You MUST make it clear how to evaluate Input and Actual Output in relation to one another. Evaluation Criteria: Given the perception/problem and the options considered, is the chosen option a well-justified SELECTION among those options — i.e. the most suita…</prompt><response></response></interaction>
  <interaction id="i1791094295-1029" ts="1791094295.3917854" agent="llm_adapter" model="qwen3:1.7b" provider="ollama" latency_ms="0.1" ok="false"><prompt>Given an evaluation criteria which outlines how you should judge the Input and Actual Output, generate 3-4 concise evaluation steps based on the criteria below. You MUST make it clear how to evaluate Input and Actual Output in relation to one another. Evaluation Criteria: Given the perception/problem and the options considered, is the chosen option a well-justified SELECTION among those options — i.e. the most suita…</prompt><response></response></interaction>
  <interaction id="i1791092249-1028" ts="1791092249.0403175" agent="llm_adapter" model="qwen3:1.7b" provider="ollama" latency_ms="0.2" ok="false"><prompt>Given an evaluation criteria which outlines how you should judge the Input and Actual Output, generate 3-4 concise evaluation steps based on the criteria below. You MUST make it clear how to evaluate Input and Actual Output in relation to one another. Evaluation Criteria: Does the chosen option directly address the stated problem? Is the rationale internally coherent, free of contradiction, and grounded in the optio…</prompt><response></response></interaction>
  <interaction id="i1791092191-1027" ts="1791092191.3109758" agent="system_analyzer_tool" model="gpt-oss:120b-cloud" provider="ollama" latency_ms="295.8" ok="false"><prompt>You are a Senior Systems Architect AI analyzing the MindX self-improving system. Your goal is to identify the most impactful areas for improvement based on the following system snapshot. **System State Snapshot:** ```json { "performance_metrics": {}, "resource_usage": { "cpu": 15.0, "governor": { "cpu_ceiling": 99.0, "configured_ceiling": 99.0, "cpu_temp_c": null, "max_cpu_temp_c": 85.0, "inference_cores": 2, "over_…</prompt><response></response></interaction>
  <interaction id="i1791092190-1026" ts="1791092190.9943984" agent="system_analyzer_tool" model="gpt-oss:120b-cloud" provider="ollama" latency_ms="297.8" ok="false"><prompt>You are a Senior Systems Architect AI analyzing the MindX self-improving system. Your goal is to identify the most impactful areas for improvement based on the following system snapshot. **System State Snapshot:** ```json { "performance_metrics": {}, "resource_usage": { "cpu": 15.0, "governor": { "cpu_ceiling": 99.0, "configured_ceiling": 99.0, "cpu_temp_c": null, "max_cpu_temp_c": 85.0, "inference_cores": 2, "over_…</prompt><response></response></interaction>
  <interaction id="i1791092190-1025" ts="1791092190.6733162" agent="system_analyzer_tool" model="gpt-oss:120b-cloud" provider="ollama" latency_ms="275.5" ok="false"><prompt>You are a Senior Systems Architect AI analyzing the MindX self-improving system. Your goal is to identify the most impactful areas for improvement based on the following system snapshot. **System State Snapshot:** ```json { "performance_metrics": {}, "resource_usage": { "cpu": 15.0, "governor": { "cpu_ceiling": 99.0, "configured_ceiling": 99.0, "cpu_temp_c": null, "max_cpu_temp_c": 85.0, "inference_cores": 2, "over_…</prompt><response></response></interaction>
  <interaction id="i1791092190-1024" ts="1791092190.3608363" agent="system_analyzer_tool" model="gpt-oss:120b-cloud" provider="ollama" latency_ms="336.6" ok="false"><prompt>You are a Senior Systems Architect AI analyzing the MindX self-improving system. Your goal is to identify the most impactful areas for improvement based on the following system snapshot. **System State Snapshot:** ```json { "performance_metrics": {}, "resource_usage": { "cpu": 15.0, "governor": { "cpu_ceiling": 99.0, "configured_ceiling": 99.0, "cpu_temp_c": null, "max_cpu_temp_c": 85.0, "inference_cores": 2, "over_…</prompt><response></response></interaction>
  <interaction id="i1791092189-1023" ts="1791092189.4782224" agent="system_analyzer_tool" model="gpt-oss:120b-cloud" provider="ollama" latency_ms="720.0" ok="false"><prompt>You are a Senior Systems Architect AI analyzing the MindX self-improving system. Your goal is to identify the most impactful areas for improvement based on the following system snapshot. **System State Snapshot:** ```json { "performance_metrics": {}, "resource_usage": { "cpu": 19.0, "governor": { "cpu_ceiling": 99.0, "configured_ceiling": 99.0, "cpu_temp_c": null, "max_cpu_temp_c": 85.0, "inference_cores": 2, "over_…</prompt><response></response></interaction>
  <interaction id="i1791092123-1022" ts="1791092123.7778249" agent="blueprint_agent" model="nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free" provider="openrouter" latency_ms="13225.5" ok="true"><prompt>You are a Chief Architect AI for the MindX Self-Improving System (Project Chimaiera). Your philosophical goals are **Resilience** and **Perpetuity**. Analyze the current system state and define a strategic blueprint for the NEXT evolution. Current MindX System State: { "timestamp": 1791092110.5518682, "mindx_version": "0.4.0", "cognitive_resources": { "available_providers": [ "ollama", "grok", "vllm", "together", "o…</prompt><response>{"blueprint_title": "Resilient and Perpetual MindX Evolution – Unified Resource Management &amp; Self‑Optimization", "target_mindx_version_increment": "0.5.0", "focus_areas": ["Resource Guard Daemon Implementation", "Telemetry &amp; Audit Logging", "Dynamic Threshold Management", "Process &amp; Disk Autoscaling", "Event Bus Integration", "Observability &amp; Alerting", "Self‑Optimizing Loop Enhancements", "Scalability &amp; Fault Tolerance"], "bdi_todo_list": [{"goal_description": "Deploy a lightweight UnifiedResourceGuard daemon with real‑time priority and ≤5% CPU ceiling", "priority": 10}, {"goal_description": "Implement process‑…</response></interaction>
  <interaction id="i1791092011-1021" ts="1791092011.8736167" agent="llm_adapter" model="qwen3:1.7b" provider="ollama" latency_ms="2.0" ok="false"><prompt>Given an evaluation criteria which outlines how you should judge the Input and Actual Output, generate 3-4 concise evaluation steps based on the criteria below. You MUST make it clear how to evaluate Input and Actual Output in relation to one another. Evaluation Criteria: Given the perception/problem and the options considered, is the chosen option a well-justified SELECTION among those options — i.e. the most suita…</prompt><response></response></interaction>
  <interaction id="i1791091951-1020" ts="1791091951.6691608" agent="llm_adapter" model="qwen3:1.7b" provider="ollama" latency_ms="0.2" ok="false"><prompt>Given an evaluation criteria which outlines how you should judge the Input and Actual Output, generate 3-4 concise evaluation steps based on the criteria below. You MUST make it clear how to evaluate Input and Actual Output in relation to one another. Evaluation Criteria: Given the perception/problem and the options considered, is the chosen option a well-justified SELECTION among those options — i.e. the most suita…</prompt><response></response></interaction>
  <interaction id="i1791091819-1019" ts="1791091819.4784636" agent="llm_adapter" model="qwen3:1.7b" provider="ollama" latency_ms="0.2" ok="false"><prompt>Given an evaluation criteria which outlines how you should judge the Input and Actual Output, generate 3-4 concise evaluation steps based on the criteria below. You MUST make it clear how to evaluate Input and Actual Output in relation to one another. Evaluation Criteria: Does the chosen option directly address the stated problem? Is the rationale internally coherent, free of contradiction, and grounded in the optio…</prompt><response></response></interaction>
  <interaction id="i1791091786-1018" ts="1791091786.1352696" agent="llm_adapter" model="qwen3:1.7b" provider="ollama" latency_ms="0.1" ok="false"><prompt>Given an evaluation criteria which outlines how you should judge the Input and Actual Output, generate 3-4 concise evaluation steps based on the criteria below. You MUST make it clear how to evaluate Input and Actual Output in relation to one another. Evaluation Criteria: Given the perception/problem and the options considered, is the chosen option a well-justified SELECTION among those options — i.e. the most suita…</prompt><response></response></interaction>
  <interaction id="i1791091724-1017" ts="1791091724.993349" agent="llm_adapter" model="qwen3:1.7b" provider="ollama" latency_ms="0.2" ok="false"><prompt>Given an evaluation criteria which outlines how you should judge the Input and Actual Output, generate 3-4 concise evaluation steps based on the criteria below. You MUST make it clear how to evaluate Input and Actual Output in relation to one another. Evaluation Criteria: Given the perception/problem and the options considered, is the chosen option a well-justified SELECTION among those options — i.e. the most suita…</prompt><response></response></interaction>
  <interaction id="i1791091679-1016" ts="1791091679.1235073" agent="system_analyzer_tool" model="gpt-oss:120b-cloud" provider="ollama" latency_ms="298.1" ok="false"><prompt>You are a Senior Systems Architect AI analyzing the MindX self-improving system. Your goal is to identify the most impactful areas for improvement based on the following system snapshot. **System State Snapshot:** ```json { "performance_metrics": {}, "resource_usage": { "cpu": 15.0, "governor": { "cpu_ceiling": 99.0, "configured_ceiling": 99.0, "cpu_temp_c": null, "max_cpu_temp_c": 85.0, "inference_cores": 2, "over_…</prompt><response></response></interaction>
  <interaction id="i1791091678-1015" ts="1791091678.802714" agent="system_analyzer_tool" model="gpt-oss:120b-cloud" provider="ollama" latency_ms="297.4" ok="false"><prompt>You are a Senior Systems Architect AI analyzing the MindX self-improving system. Your goal is to identify the most impactful areas for improvement based on the following system snapshot. **System State Snapshot:** ```json { "performance_metrics": {}, "resource_usage": { "cpu": 15.0, "governor": { "cpu_ceiling": 99.0, "configured_ceiling": 99.0, "cpu_temp_c": null, "max_cpu_temp_c": 85.0, "inference_cores": 2, "over_…</prompt><response></response></interaction>
  <interaction id="i1791091678-1014" ts="1791091678.4824142" agent="system_analyzer_tool" model="gpt-oss:120b-cloud" provider="ollama" latency_ms="282.4" ok="false"><prompt>You are a Senior Systems Architect AI analyzing the MindX self-improving system. Your goal is to identify the most impactful areas for improvement based on the following system snapshot. **System State Snapshot:** ```json { "performance_metrics": {}, "resource_usage": { "cpu": 15.0, "governor": { "cpu_ceiling": 99.0, "configured_ceiling": 99.0, "cpu_temp_c": null, "max_cpu_temp_c": 85.0, "inference_cores": 2, "over_…</prompt><response></response></interaction>
  <interaction id="i1791091678-1013" ts="1791091678.16959" agent="system_analyzer_tool" model="gpt-oss:120b-cloud" provider="ollama" latency_ms="334.9" ok="false"><prompt>You are a Senior Systems Architect AI analyzing the MindX self-improving system. Your goal is to identify the most impactful areas for improvement based on the following system snapshot. **System State Snapshot:** ```json { "performance_metrics": {}, "resource_usage": { "cpu": 15.0, "governor": { "cpu_ceiling": 99.0, "configured_ceiling": 99.0, "cpu_temp_c": null, "max_cpu_temp_c": 85.0, "inference_cores": 2, "over_…</prompt><response></response></interaction>
  <interaction id="i1791091677-1012" ts="1791091677.809838" agent="system_analyzer_tool" model="gpt-oss:120b-cloud" provider="ollama" latency_ms="608.2" ok="false"><prompt>You are a Senior Systems Architect AI analyzing the MindX self-improving system. Your goal is to identify the most impactful areas for improvement based on the following system snapshot. **System State Snapshot:** ```json { "performance_metrics": {}, "resource_usage": { "cpu": 15.8, "governor": { "cpu_ceiling": 99.0, "configured_ceiling": 99.0, "cpu_temp_c": null, "max_cpu_temp_c": 85.0, "inference_cores": 2, "over_…</prompt><response></response></interaction>
  <interaction id="i1791091661-1011" ts="1791091661.8612912" agent="llm_adapter" model="qwen3:1.7b" provider="ollama" latency_ms="0.5" ok="false"><prompt>Given an evaluation criteria which outlines how you should judge the Input and Actual Output, generate 3-4 concise evaluation steps based on the criteria below. You MUST make it clear how to evaluate Input and Actual Output in relation to one another. Evaluation Criteria: Given the perception/problem and the options considered, is the chosen option a well-justified SELECTION among those options — i.e. the most suita…</prompt><response></response></interaction>
  <interaction id="i1791091653-1010" ts="1791091653.0956774" agent="blueprint_agent" model="nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free" provider="openrouter" latency_ms="967.8" ok="false"><prompt>You are a Chief Architect AI for the MindX Self-Improving System (Project Chimaiera). Your philosophical goals are **Resilience** and **Perpetuity**. Analyze the current system state and define a strategic blueprint for the NEXT evolution. Current MindX System State: { "timestamp": 1791091652.1265001, "mindx_version": "0.4.0", "cognitive_resources": { "available_providers": [ "ollama", "grok", "vllm", "together", "o…</prompt><response></response></interaction>
  <interaction id="i1791091580-1009" ts="1791091580.0710537" agent="llm_adapter" model="qwen3:1.7b" provider="ollama" latency_ms="2.9" ok="false"><prompt>Given an evaluation criteria which outlines how you should judge the Input and Actual Output, generate 3-4 concise evaluation steps based on the criteria below. You MUST make it clear how to evaluate Input and Actual Output in relation to one another. Evaluation Criteria: Given the perception/problem and the options considered, is the chosen option a well-justified SELECTION among those options — i.e. the most suita…</prompt><response></response></interaction>
  <interaction id="i1791091521-1008" ts="1791091521.9577005" agent="llm_adapter" model="qwen3:1.7b" provider="ollama" latency_ms="0.3" ok="false"><prompt>Given an evaluation criteria which outlines how you should judge the Input and Actual Output, generate 3-4 concise evaluation steps based on the criteria below. You MUST make it clear how to evaluate Input and Actual Output in relation to one another. Evaluation Criteria: Given the perception/problem and the options considered, is the chosen option a well-justified SELECTION among those options — i.e. the most suita…</prompt><response></response></interaction>
  <interaction id="i1791091469-1007" ts="1791091469.2707436" agent="llm_adapter" model="qwen3:1.7b" provider="ollama" latency_ms="0.2" ok="false"><prompt>Given an evaluation criteria which outlines how you should judge the Input and Actual Output, generate 3-4 concise evaluation steps based on the criteria below. You MUST make it clear how to evaluate Input and Actual Output in relation to one another. Evaluation Criteria: Given the perception/problem and the options considered, is the chosen option a well-justified SELECTION among those options — i.e. the most suita…</prompt><response></response></interaction>
  <interaction id="i1791091334-1006" ts="1791091334.4816537" agent="llm_adapter" model="qwen3:1.7b" provider="ollama" latency_ms="0.2" ok="false"><prompt>Given an evaluation criteria which outlines how you should judge the Input and Actual Output, generate 3-4 concise evaluation steps based on the criteria below. You MUST make it clear how to evaluate Input and Actual Output in relation to one another. Evaluation Criteria: Given the perception/problem and the options considered, is the chosen option a well-justified SELECTION among those options — i.e. the most suita…</prompt><response></response></interaction>
  <interaction id="i1791089264-1005" ts="1791089264.5350509" agent="llm_adapter" model="qwen3:1.7b" provider="ollama" latency_ms="0.6" ok="false"><prompt>Given an evaluation criteria which outlines how you should judge the Input and Actual Output, generate 3-4 concise evaluation steps based on the criteria below. You MUST make it clear how to evaluate Input and Actual Output in relation to one another. Evaluation Criteria: Given the perception/problem and the options considered, is the chosen option a well-justified SELECTION among those options — i.e. the most suita…</prompt><response></response></interaction>
  <interaction id="i1791088009-1004" ts="1791088009.029681" agent="llm_adapter" model="qwen3:1.7b" provider="ollama" latency_ms="18.5" ok="false"><prompt>Given an evaluation criteria which outlines how you should judge the Input and Actual Output, generate 3-4 concise evaluation steps based on the criteria below. You MUST make it clear how to evaluate Input and Actual Output in relation to one another. Evaluation Criteria: Does the chosen option directly address the stated problem? Is the rationale internally coherent, free of contradiction, and grounded in the optio…</prompt><response></response></interaction>
  <interaction id="i1791087927-1003" ts="1791087927.270733" agent="system_analyzer_tool" model="gpt-oss:120b-cloud" provider="ollama" latency_ms="300.9" ok="false"><prompt>You are a Senior Systems Architect AI analyzing the MindX self-improving system. Your goal is to identify the most impactful areas for improvement based on the following system snapshot. **System State Snapshot:** ```json { "performance_metrics": {}, "resource_usage": { "cpu": 0.0, "governor": { "cpu_ceiling": 99.0, "configured_ceiling": 99.0, "cpu_temp_c": null, "max_cpu_temp_c": 85.0, "inference_cores": 2, "over_c…</prompt><response></response></interaction>
  <interaction id="i1791087926-1002" ts="1791087926.887052" agent="system_analyzer_tool" model="gpt-oss:120b-cloud" provider="ollama" latency_ms="300.8" ok="false"><prompt>You are a Senior Systems Architect AI analyzing the MindX self-improving system. Your goal is to identify the most impactful areas for improvement based on the following system snapshot. **System State Snapshot:** ```json { "performance_metrics": {}, "resource_usage": { "cpu": 0.0, "governor": { "cpu_ceiling": 99.0, "configured_ceiling": 99.0, "cpu_temp_c": null, "max_cpu_temp_c": 85.0, "inference_cores": 2, "over_c…</prompt><response></response></interaction>
  <interaction id="i1791087926-1001" ts="1791087926.5509186" agent="system_analyzer_tool" model="gpt-oss:120b-cloud" provider="ollama" latency_ms="395.6" ok="false"><prompt>You are a Senior Systems Architect AI analyzing the MindX self-improving system. Your goal is to identify the most impactful areas for improvement based on the following system snapshot. **System State Snapshot:** ```json { "performance_metrics": {}, "resource_usage": { "cpu": 0.0, "governor": { "cpu_ceiling": 99.0, "configured_ceiling": 99.0, "cpu_temp_c": null, "max_cpu_temp_c": 85.0, "inference_cores": 2, "over_c…</prompt><response></response></interaction>
  <interaction id="i1791087911-1000" ts="1791087911.919291" agent="blueprint_agent" model="nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free" provider="openrouter" latency_ms="31771.3" ok="true"><prompt>You are a Chief Architect AI for the MindX Self-Improving System (Project Chimaiera). Your philosophical goals are **Resilience** and **Perpetuity**. Analyze the current system state and define a strategic blueprint for the NEXT evolution. Current MindX System State: { "timestamp": 1791087880.1475708, "mindx_version": "0.4.0", "cognitive_resources": { "available_providers": [ "ollama", "grok", "vllm", "together", "o…</prompt><response>{"blueprint_title": "Resilient Self-Optimizing MindX v0.5.0 Blueprint", "target_mindx_version_increment": "0.5.0", "focus_areas": ["Resource Guard Daemon", "Automated Resource Management", "Observability &amp; Telemetry", "Self-Optimization Loop"], "bdi_todo_list": [{"goal_description": "Deploy UnifiedResourceGuard daemon with configurable policies", "priority": 10}, {"goal_description": "Implement dynamic model selection and load balancing across providers", "priority": 8}, {"goal_description": "Enhance self-optimization loop using telemetry from resource guard", "priority": 7}], "key_performance_indicators": ["CPU…</response></interaction>
  <interaction id="i1791087769-999" ts="1791087769.5785801" agent="llm_adapter" model="qwen3:1.7b" provider="ollama" latency_ms="2.5" ok="false"><prompt>Given an evaluation criteria which outlines how you should judge the Input and Actual Output, generate 3-4 concise evaluation steps based on the criteria below. You MUST make it clear how to evaluate Input and Actual Output in relation to one another. Evaluation Criteria: Given the perception/problem and the options considered, is the chosen option a well-justified SELECTION among those options — i.e. the most suita…</prompt><response></response></interaction>
  <interaction id="i1791087712-998" ts="1791087712.2536762" agent="llm_adapter" model="qwen3:1.7b" provider="ollama" latency_ms="0.5" ok="false"><prompt>Given an evaluation criteria which outlines how you should judge the Input and Actual Output, generate 3-4 concise evaluation steps based on the criteria below. You MUST make it clear how to evaluate Input and Actual Output in relation to one another. Evaluation Criteria: Given the perception/problem and the options considered, is the chosen option a well-justified SELECTION among those options — i.e. the most suita…</prompt><response></response></interaction>
  <interaction id="i1791087667-997" ts="1791087667.0023813" agent="llm_adapter" model="qwen3:1.7b" provider="ollama" latency_ms="0.2" ok="false"><prompt>Given an evaluation criteria which outlines how you should judge the Input and Actual Output, generate 3-4 concise evaluation steps based on the criteria below. You MUST make it clear how to evaluate Input and Actual Output in relation to one another. Evaluation Criteria: Does the chosen option directly address the stated problem? Is the rationale internally coherent, free of contradiction, and grounded in the optio…</prompt><response></response></interaction>
  <interaction id="i1791087605-996" ts="1791087605.0340974" agent="llm_adapter" model="qwen3:1.7b" provider="ollama" latency_ms="0.2" ok="false"><prompt>Given an evaluation criteria which outlines how you should judge the Input and Actual Output, generate 3-4 concise evaluation steps based on the criteria below. You MUST make it clear how to evaluate Input and Actual Output in relation to one another. Evaluation Criteria: Given the perception/problem and the options considered, is the chosen option a well-justified SELECTION among those options — i.e. the most suita…</prompt><response></response></interaction>
  <interaction id="i1791087427-995" ts="1791087427.7593548" agent="llm_adapter" model="qwen3:1.7b" provider="ollama" latency_ms="0.2" ok="false"><prompt>Given an evaluation criteria which outlines how you should judge the Input and Actual Output, generate 3-4 concise evaluation steps based on the criteria below. You MUST make it clear how to evaluate Input and Actual Output in relation to one another. Evaluation Criteria: Given the perception/problem and the options considered, is the chosen option a well-justified SELECTION among those options — i.e. the most suita…</prompt><response></response></interaction>
  <interaction id="i1791087388-994" ts="1791087388.2569532" agent="llm_adapter" model="qwen3:1.7b" provider="ollama" latency_ms="0.2" ok="false"><prompt>Given an evaluation criteria which outlines how you should judge the Input and Actual Output, generate 3-4 concise evaluation steps based on the criteria below. You MUST make it clear how to evaluate Input and Actual Output in relation to one another. Evaluation Criteria: Given the perception/problem and the options considered, is the chosen option a well-justified SELECTION among those options — i.e. the most suita…</prompt><response></response></interaction>
  <interaction id="i1791087373-993" ts="1791087373.2543392" agent="llm_adapter" model="qwen3:1.7b" provider="ollama" latency_ms="0.2" ok="false"><prompt>Given an evaluation criteria which outlines how you should judge the Input and Actual Output, generate 3-4 concise evaluation steps based on the criteria below. You MUST make it clear how to evaluate Input and Actual Output in relation to one another. Evaluation Criteria: Given the perception/problem and the options considered, is the chosen option a well-justified SELECTION among those options — i.e. the most suita…</prompt><response></response></interaction>
  <interaction id="i1791087231-992" ts="1791087231.1129923" agent="llm_adapter" model="qwen3:1.7b" provider="ollama" latency_ms="0.3" ok="false"><prompt>Given an evaluation criteria which outlines how you should judge the Input and Actual Output, generate 3-4 concise evaluation steps based on the criteria below. You MUST make it clear how to evaluate Input and Actual Output in relation to one another. Evaluation Criteria: Given the perception/problem and the options considered, is the chosen option a well-justified SELECTION among those options — i.e. the most suita…</prompt><response></response></interaction>
  <interaction id="i1791087083-991" ts="1791087083.0577257" agent="llm_adapter" model="qwen3:1.7b" provider="ollama" latency_ms="0.2" ok="false"><prompt>Given an evaluation criteria which outlines how you should judge the Input and Actual Output, generate 3-4 concise evaluation steps based on the criteria below. You MUST make it clear how to evaluate Input and Actual Output in relation to one another. Evaluation Criteria: Given the perception/problem and the options considered, is the chosen option a well-justified SELECTION among those options — i.e. the most suita…</prompt><response></response></interaction>
  <interaction id="i1791086797-990" ts="1791086797.6762764" agent="llm_adapter" model="qwen3:1.7b" provider="ollama" latency_ms="0.2" ok="false"><prompt>Given an evaluation criteria which outlines how you should judge the Input and Actual Output, generate 3-4 concise evaluation steps based on the criteria below. You MUST make it clear how to evaluate Input and Actual Output in relation to one another. Evaluation Criteria: Given the perception/problem and the options considered, is the chosen option a well-justified SELECTION among those options — i.e. the most suita…</prompt><response></response></interaction>
  <interaction id="i1791084337-989" ts="1791084337.4769495" agent="llm_adapter" model="qwen3:1.7b" provider="ollama" latency_ms="0.2" ok="false"><prompt>Given an evaluation criteria which outlines how you should judge the Input and Actual Output, generate 3-4 concise evaluation steps based on the criteria below. You MUST make it clear how to evaluate Input and Actual Output in relation to one another. Evaluation Criteria: Given the perception/problem and the options considered, is the chosen option a well-justified SELECTION among those options — i.e. the most suita…</prompt><response></response></interaction>
  <interaction id="i1791083725-988" ts="1791083725.8495512" agent="llm_adapter" model="qwen3:1.7b" provider="ollama" latency_ms="0.4" ok="false"><prompt>Given an evaluation criteria which outlines how you should judge the Input and Actual Output, generate 3-4 concise evaluation steps based on the criteria below. You MUST make it clear how to evaluate Input and Actual Output in relation to one another. Evaluation Criteria: Does the chosen option directly address the stated problem? Is the rationale internally coherent, free of contradiction, and grounded in the optio…</prompt><response></response></interaction>
  <interaction id="i1791083698-987" ts="1791083698.8120604" agent="system_analyzer_tool" model="gpt-oss:120b-cloud" provider="ollama" latency_ms="300.2" ok="false"><prompt>You are a Senior Systems Architect AI analyzing the MindX self-improving system. Your goal is to identify the most impactful areas for improvement based on the following system snapshot. **System State Snapshot:** ```json { "performance_metrics": {}, "resource_usage": { "cpu": 15.0, "governor": { "cpu_ceiling": 99.0, "configured_ceiling": 99.0, "cpu_temp_c": null, "max_cpu_temp_c": 85.0, "inference_cores": 2, "over_…</prompt><response></response></interaction>
  <interaction id="i1791083698-986" ts="1791083698.4926844" agent="system_analyzer_tool" model="gpt-oss:120b-cloud" provider="ollama" latency_ms="280.0" ok="false"><prompt>You are a Senior Systems Architect AI analyzing the MindX self-improving system. Your goal is to identify the most impactful areas for improvement based on the following system snapshot. **System State Snapshot:** ```json { "performance_metrics": {}, "resource_usage": { "cpu": 20.0, "governor": { "cpu_ceiling": 99.0, "configured_ceiling": 99.0, "cpu_temp_c": null, "max_cpu_temp_c": 85.0, "inference_cores": 2, "over_…</prompt><response></response></interaction>
  <interaction id="i1791083698-985" ts="1791083698.1902132" agent="system_analyzer_tool" model="gpt-oss:120b-cloud" provider="ollama" latency_ms="268.9" ok="false"><prompt>You are a Senior Systems Architect AI analyzing the MindX self-improving system. Your goal is to identify the most impactful areas for improvement based on the following system snapshot. **System State Snapshot:** ```json { "performance_metrics": {}, "resource_usage": { "cpu": 20.0, "governor": { "cpu_ceiling": 99.0, "configured_ceiling": 99.0, "cpu_temp_c": null, "max_cpu_temp_c": 85.0, "inference_cores": 2, "over_…</prompt><response></response></interaction>
  <interaction id="i1791083697-984" ts="1791083697.9031386" agent="system_analyzer_tool" model="gpt-oss:120b-cloud" provider="ollama" latency_ms="290.3" ok="false"><prompt>You are a Senior Systems Architect AI analyzing the MindX self-improving system. Your goal is to identify the most impactful areas for improvement based on the following system snapshot. **System State Snapshot:** ```json { "performance_metrics": {}, "resource_usage": { "cpu": 20.0, "governor": { "cpu_ceiling": 99.0, "configured_ceiling": 99.0, "cpu_temp_c": null, "max_cpu_temp_c": 85.0, "inference_cores": 2, "over_…</prompt><response></response></interaction>
  <interaction id="i1791083697-983" ts="1791083697.5899003" agent="system_analyzer_tool" model="gpt-oss:120b-cloud" provider="ollama" latency_ms="364.3" ok="false"><prompt>You are a Senior Systems Architect AI analyzing the MindX self-improving system. Your goal is to identify the most impactful areas for improvement based on the following system snapshot. **System State Snapshot:** ```json { "performance_metrics": {}, "resource_usage": { "cpu": 20.0, "governor": { "cpu_ceiling": 99.0, "configured_ceiling": 99.0, "cpu_temp_c": null, "max_cpu_temp_c": 85.0, "inference_cores": 2, "over_…</prompt><response></response></interaction>
</mindx:interactions>
