{"campaigns":[{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_593c7476","directive":"Provision a dedicated GPU (or virtual GPU pool) and implement a hybrid CPU/GPU offload manager. The manager must automatically detect heavyweight models (≥ 30 B parameters such as `gpt-oss:120b`, `qwen3-coder-next:80b`, `qwen3-vl:235b`) and route their inference to an available GPU. Features include lazy loading/unloading of model checkpoints on the GPU, a per‑model GPU‑affinity table, fallback to an 8‑bit CPU‑quantized version when no GPU is free, and integration with the health‑aware router so","ts":1784848687.0842385,"backlog_idx":7},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_451cab9f","directive":"Provision at least one dedicated GPU (or a virtual GPU pool) and implement a hybrid CPU/GPU offload manager. Automatically detect heavyweight models (≥ 30 B parameters such as gpt‑oss:120b, qwen3‑coder‑next:80b, qwen3‑vl:235b) and route their inference to an available GPU. Features must include lazy loading/unloading of model checkpoints on the GPU, a per‑model GPU‑affinity table, fallback to an 8‑bit CPU‑quantized version when no GPU is free, integration with the health‑aware router to boost GP","ts":1784846790.392433,"backlog_idx":0},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_d9fe46a0","directive":"Replace the current round‑robin dispatcher with a health‑aware weighted router. The router must continuously ingest per‑model telemetry (p95 latency, success_rate, error_rate, recent alert count, CPU & memory usage), compute a real‑time health_score, and assign a dynamic weight = health_score × capacity_factor. Implement per‑model circuit‑breakers that trip after three consecutive failures or when health_score < 0.4, automatically setting the model's weight to zero and invoking a deterministic f","ts":1784844944.876166,"backlog_idx":2},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_dab96d5c","directive":"Provision at least one dedicated GPU (or a virtual GPU pool) and implement a hybrid CPU/GPU offload manager. The manager must automatically detect heavyweight models (≥ 30 B parameters such as `gpt-oss:120b`, `qwen3-coder-next:80b`, `qwen3-vl:235b`) and route their inference to an available GPU. Features include lazy loading/unloading of model checkpoints on the GPU, a per‑model GPU‑affinity table, fallback to an 8‑bit CPU‑quantized version when no GPU is free, integration with the health‑aware ","ts":1784843099.6063838,"backlog_idx":0},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_ae287e4f","directive":"Replace the current round‑robin dispatcher with a health‑aware weighted router. Continuously ingest per‑model telemetry (p95 latency, success_rate, error_rate, recent alert count, CPU & memory usage). Compute a real‑time health_score and derive a dynamic weight = health_score × capacity_factor. Add per‑model circuit‑breakers that trip after three consecutive failures or when health_score < 0.4, automatically setting the model's weight to zero and invoking a deterministic fallback hierarchy withi","ts":1784841254.9742389,"backlog_idx":3},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_08b0c9a4","directive":"Provision a dedicated GPU (or virtual GPU pool) and implement a hybrid CPU/GPU offload manager. Detect heavyweight models (≥ 30 B parameters such as `gpt-oss:120b`, `qwen3-coder-next:80b`, `qwen3-vl:235b`) and route their inference to an available GPU. Features must include lazy loading/unloading of model checkpoints on the GPU, a per‑model GPU‑affinity table, fallback to an 8‑bit CPU‑quantized version when no GPU is free, and integration with the health‑aware router so GPU‑capable models receiv","ts":1784839409.0721192,"backlog_idx":2},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_cc0c2bc8","directive":"Provision a dedicated GPU (or virtual GPU pool) and implement a hybrid CPU/GPU offload manager. Automatically detect heavyweight models (≥ 30 B parameters such as `gpt-oss:120b`, `qwen3-coder-next:80b`, `qwen3-vl:235b`) and route their inference to an available GPU. Features must include lazy loading/unloading of model checkpoints on the GPU, a per‑model GPU‑affinity table, fallback to an 8‑bit CPU‑quantized version when no GPU is free, and integration with the health‑aware router so GPU‑capable","ts":1784837564.8779871,"backlog_idx":2},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_e6fe59af","directive":"Deploy an autonomous model‑pruning daemon that runs every 5 minutes. The daemon must: (1) aggregate telemetry per model (total_calls, success_rate, avg_latency_ms, recent_alert_count, memory_usage); (2) compute a health_score = 0.5 × success_rate + 0.3 × (1 − latency_ratio) + 0.2 × (1 − alert_ratio); (3) automatically mark models with health_score < 0.35 **or** success_rate = 0 as *disabled* and unload them from the routing table; (4) keep an 8‑bit quantized fallback version of each disabled mod","ts":1784835720.5309658,"backlog_idx":1},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_4a72899e","directive":"Provision a GPU device (or a virtual GPU pool) and enable a hybrid CPU/GPU offload manager. Detect heavyweight models (≥ 30 B parameters, e.g., `gpt‑oss:120b`, `qwen3‑coder‑next:80b`, `qwen3‑vl:235b`) and automatically route their inference to an available GPU. Maintain a per‑model GPU affinity table, perform lazy loading/unloading of models on the GPU, and fall back to an 8‑bit CPU‑quantized checkpoint when no GPU is free. Expose `/gpu/status` and publish Prometheus metrics (`gpu_model_active`,","ts":1784833875.3101819,"backlog_idx":16},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_d5b567fd","directive":"Upgrade the router to include a per‑model circuit‑breaker with automatic fallback hierarchy. For each functional role (e.g., `boardroom_vote|cfo_finance`) maintain a ranked list of candidate models sorted by a real‑time health_score (success_rate, p95 latency, recent alert count, CPU/memory pressure). When a selected model exceeds a configurable failure threshold (3 consecutive errors or health_score < 0.4) or its latency exceeds the SLA, the circuit‑breaker trips, the model’s weight is set to z","ts":1784832029.6971638,"backlog_idx":3},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_9d7c184d","directive":"Provision a dedicated GPU (or a virtual GPU pool) and enable a hybrid CPU/GPU offload manager. The manager must automatically detect heavyweight models (≥ 30 B parameters such as `gpt-oss:120b`, `qwen3-coder-next:80b`, `qwen3-vl:235b`) and route their inference to an available GPU. Implement lazy loading/unloading of model checkpoints on the GPU, maintain a per‑model GPU‑affinity table, and fall back to an 8‑bit CPU‑quantized version when no GPU is free. Integrate with the health‑aware router so","ts":1784830197.4124708,"backlog_idx":6},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_f8506d1c","directive":"Provision at least one dedicated GPU (or a virtual GPU pool) and enable a hybrid CPU/GPU offload manager. The manager must automatically detect heavyweight models (≥ 30 B parameters such as `gpt-oss:120b`, `qwen3-coder-next:80b`, `qwen3-vl:235b`) and route their inference to an available GPU. Implement lazy loading/unloading of model checkpoints on the GPU, maintain a per‑model GPU‑affinity table, and fall back to an 8‑bit CPU‑quantized version when no GPU is free. Integrate with the health‑awar","ts":1784828350.7155974,"backlog_idx":2},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_5ff27423","directive":"Provision a dedicated GPU (or virtual GPU pool) and enable a hybrid CPU/GPU offload manager. The manager must automatically detect heavyweight models (≥ 30 B parameters such as `gpt-oss:120b`, `qwen3-coder-next:80b`, `qwen3-vl:235b`) and route their inference to an available GPU. Implement lazy loading/unloading of model checkpoints on the GPU, maintain a per‑model GPU‑affinity table, and fall back to an 8‑bit CPU‑quantized version when no GPU is free. Integrate with the health‑aware router so G","ts":1784826430.340452,"backlog_idx":1},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_78e7c9b5","directive":"Introduce a hybrid CPU/GPU offload manager. Detect heavyweight models (≥ 30 B parameters, e.g., `gpt‑oss:120b`, `qwen3‑coder‑next:80b`, `qwen3‑vl:235b`) and automatically route their inference to any available GPU device. Maintain a per‑model GPU‑affinity table, perform lazy loading/unloading of models on the GPU, and fall back to an 8‑bit CPU‑quantized checkpoint when no GPU is free. Expose a health‑check endpoint `/gpu/status` and Prometheus metrics (`gpu_model_active`, `gpu_memory_used_bytes`","ts":1784824561.8955615,"backlog_idx":11},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_ca138227","directive":"Provision at least one GPU (or a virtual GPU pool) and enable a hybrid CPU/GPU offload manager. The manager must automatically detect heavyweight models (≥ 30 B parameters such as `gpt-oss:120b`, `qwen3-coder-next:80b`, `qwen3-vl:235b`) and route their inference to an available GPU. Implement lazy loading/unloading of model checkpoints on the GPU, maintain a per‑model GPU‑affinity table, and fall back to an 8‑bit CPU‑quantized version when no GPU is free. Integrate with the health‑aware router s","ts":1784822717.8549154,"backlog_idx":1},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_8d7c2ba7","directive":"Replace the current round‑robin dispatcher with a health‑aware, priority‑aware weighted router that (a) continuously ingests per‑model telemetry (p95 latency, success_rate, error_rate, recent alert count, CPU & memory usage) to compute a health_score, (b) derives a dynamic weight = health_score × capacity_factor (model size, max concurrency, cgroup quota), (c) performs weighted round‑robin selection, (d) automatically excludes any model whose weight falls below 0.2, (e) attaches a per‑model circ","ts":1784820885.3631864,"backlog_idx":8},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_379c1562","directive":"Provision at least one GPU (or a virtual GPU pool) and enable a hybrid CPU/GPU offload manager. Detect heavyweight models (≥ 30 B parameters such as `gpt-oss:120b`, `qwen3-coder-next:80b`, `qwen3-vl:235b`) and automatically route their inference to an available GPU. Maintain a per‑model GPU‑affinity table, perform lazy loading/unloading of models on the GPU, and fall back to an 8‑bit CPU‑quantized checkpoint when no GPU is free. Expose `/gpu/status` and publish Prometheus metrics (`gpu_model_act","ts":1784819039.805331,"backlog_idx":4},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_e2b942ce","directive":"Provision a GPU (or virtual GPU pool) and enable a hybrid CPU/GPU offload manager. Detect heavyweight models (≥ 30 B parameters such as `gpt-oss:120b`, `qwen3-coder-next:80b`, `qwen3-vl:235b`) and automatically route their inference to any available GPU. Maintain a per‑model GPU‑affinity table, perform lazy loading/unloading of models on the GPU, and fall back to an 8‑bit CPU‑quantized checkpoint when no GPU is free. Expose `/gpu/status` and publish Prometheus metrics (`gpu_model_active`, `gpu_m","ts":1784817195.0480907,"backlog_idx":1},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_4c04dfb2","directive":"Implement adaptive micro‑batching for CPU‑only inference. When a model receives > 5 requests/s, group incoming requests for the same model into micro‑batches (max 8‑16 tokens per request), execute a single forward pass, then split the combined output back to individual responses. Provide a fast‑path bypass for latency‑critical boardroom_vote calls when the observed p95 latency approaches the SLA (5 ms). Expose `/batch/status` and emit Prometheus metrics (`batch_enabled`, `batch_size_avg`, `batch","ts":1784815348.8094735,"backlog_idx":0},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_6cf4186d","directive":"Deploy an autonomous model‑pruning daemon that runs every 5 minutes. The daemon reads per‑model telemetry (total_calls, success_rate, avg_latency_ms, recent_alert_count, memory_usage) and computes a health_score = 0.5·success_rate + 0.3·(1‑latency_ratio) + 0.2·(1‑alert_ratio). Models with health_score < 0.35 **or** success_rate = 0 are automatically marked *disabled* and removed from the routing table. For each disabled model keep an 8‑bit quantized fallback in memory for instant hot‑swap if nee","ts":1784813504.2789757,"backlog_idx":1},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_e7e5d3a9","directive":"Introduce a hybrid CPU/GPU offload manager. Detect heavyweight models (≥ 30 B parameters such as `gpt-oss:120b`, `qwen3-coder-next:80b`, `qwen3-vl:235b`) and automatically route their inference to any available GPU device. Maintain a per‑model GPU‑affinity table, perform lazy loading/unloading of models on the GPU, and fall back to an 8‑bit CPU‑quantized checkpoint when no GPU is free. Expose a health‑check endpoint `/gpu/status` and Prometheus metrics (`gpu_model_active`, `gpu_memory_used_bytes","ts":1784811659.317135,"backlog_idx":0},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_a500ef43","directive":"Deploy an autonomous model‑pruning daemon that runs every 5 minutes. It reads per‑model telemetry (total_calls, success_rate, avg_latency_ms, recent_alert_count, memory_usage) and computes a health_score = 0.5·success_rate + 0.3·(1‑latency_ratio) + 0.2·(1‑alert_ratio). Models with health_score < 0.35 **or** success_rate = 0 are automatically marked *disabled* and removed from the routing table. For each disabled model keep an 8‑bit quantized fallback in memory for instant hot‑swap. Expose an adm","ts":1784809825.6586344,"backlog_idx":1},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_02677d87","directive":"Introduce a hybrid CPU/GPU offload manager that automatically routes heavyweight models (≥ 30 B parameters, e.g., `gpt-oss:120b`, `qwen3-coder-next:80b`, `qwen3-vl:235b`) to any available GPU device. Maintain a per‑model GPU affinity table, handle lazy loading/unloading of models on the GPU, and fall back to an 8‑bit CPU‑quantized checkpoint when no GPU is free. Expose a health‑check endpoint `/gpu/status` and Prometheus metrics (`gpu_model_active`, `gpu_memory_used_bytes`, `gpu_offload_latency_","ts":1784807976.4420252,"backlog_idx":0},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_81c40d62","directive":"Deploy a predictive, multi‑tiered model lifecycle manager that (1) tracks per‑model QPS, p95 latency, error_rate, recent alert count and computes a composite health_score, (2) unloads any model whose QPS falls below a configurable low‑traffic threshold **or** health_score < 0.3, releasing its cgroup memory and CPU quota, (3) retains a quantized (8‑bit or 4‑bit) checkpoint for every heavyweight model (≥30 B parameters) so that a cold‑start reload completes within ≤200 ms, (4) predicts daily board","ts":1784806091.5287943,"backlog_idx":6},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_fedc8595","directive":"Introduce a GPU offload manager that automatically routes heavyweight models (≥ 30 B parameters, e.g., `gpt-oss:120b`, `qwen3-coder-next:80b`, `qwen3-vl:235b`) to available GPU devices. The manager must maintain a per‑model GPU affinity table, handle model loading/unloading on the GPU, and fall back to a CPU‑only quantized checkpoint if no GPU is free. Provide health‑check endpoint (`/gpu/status`) and metrics (`gpu_model_active`, `gpu_memory_used_bytes`, `gpu_offload_latency_ms`). [target: syste","ts":1784800351.6804712,"backlog_idx":2},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_43503856","directive":"Add an autonomous model‑pruning service that runs every 5 minutes. It ingests the per‑model telemetry (total_calls, success_rate, avg_latency_ms, recent_alert_count, memory_usage) and computes a health_score = 0.5·success_rate + 0.3·(1‑latency_ratio) + 0.2·(1‑alert_ratio). Any model with health_score < 0.35 **or** success_rate = 0 is automatically marked *disabled* and removed from the routing table; a lightweight quantized fallback (8‑bit) is kept in memory for instant hot‑swap. Disabled models","ts":1784798486.0775087,"backlog_idx":0},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_dd1daf2c","directive":"Deploy a predictive, multi‑tiered model lifecycle manager. It must (a) track per‑model QPS, p95 latency, error_rate, recent alert count and compute a composite health score; (b) unload any model whose QPS falls below a configurable low‑traffic threshold **or** health_score < 0.3, releasing its cgroup memory and CPU quota; (c) keep a quantized (8‑bit or 4‑bit) checkpoint for every heavyweight model (≥30 B parameters) resident in memory so that a cold‑start reload completes within ≤200 ms; (d) pre","ts":1784796638.5687265,"backlog_idx":8},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_1c2ee00a","directive":"Replace the current round‑robin dispatcher with a health‑aware, priority‑aware weighted router. Continuously ingest telemetry (p95 latency, success/error rates, recent alert count, CPU & memory usage) to compute a per‑model health score. Compute a dynamic weight = health_score × capacity_factor (model size, max concurrency, cgroup quota). Perform weighted round‑robin selection, automatically exclude models whose weight < 0.2, and attach a per‑model circuit‑breaker that trips after three consecut","ts":1784794806.4462168,"backlog_idx":7},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_a5a0b4f8","directive":"Replace the existing round‑robin dispatcher with a health‑aware, priority‑aware weighted router. Continuously ingest per‑model telemetry (p95 latency, success_rate, error_rate, recent alert count, CPU & memory usage) to compute a health_score. Compute a dynamic weight = health_score × capacity_factor (model size, max concurrency, cgroup quota). Perform weighted round‑robin selection, automatically exclude any model whose weight < 0.2, and attach a per‑model circuit‑breaker that trips after three","ts":1784792973.443821,"backlog_idx":4},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_188d80a5","directive":"Deploy a predictive, multi‑tiered model lifecycle manager. Continuously track per‑model QPS, p95 latency, error_rate, recent alert count and compute a composite health_score. Unload any model whose QPS falls below a configurable low‑traffic threshold **or** health_score < 0.3, releasing its cgroup memory and CPU quota. Keep a quantized (8‑bit or 4‑bit) checkpoint for every heavyweight model (≥30 B parameters) resident in memory so that a cold‑start reload completes within ≤200 ms. Predict daily ","ts":1784791141.4961348,"backlog_idx":3},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_c0c36655","directive":"Replace the current round‑robin dispatcher with a health‑aware, priority‑aware weighted router. Continuously ingest per‑model telemetry (p95 latency, success_rate, error_rate, recent alert count, CPU & memory usage) to compute a health_score. Derive a dynamic weight = health_score × capacity_factor (model size, max concurrency, cgroup quota). Perform weighted round‑robin selection, automatically exclude any model whose weight falls below 0.2, and attach a per‑model circuit‑breaker that trips aft","ts":1784789309.6951334,"backlog_idx":2},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_784dc58d","directive":"Deploy a predictive, multi‑tiered model lifecycle manager with quantized fallbacks. Continuously track per‑model QPS, p95 latency, error_rate, recent alert count and compute a composite health_score. Unload any model whose QPS falls below a configurable low‑traffic threshold **or** health_score < 0.3, releasing its cgroup memory and CPU quota. Keep an 8‑bit (or 4‑bit) quantized checkpoint for every heavyweight model (≥30 B parameters) resident in memory so that a cold‑start reload completes with","ts":1784787477.861845,"backlog_idx":0},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_e573f051","directive":"Introduce a predictive, multi‑tiered lifecycle manager that continuously tracks per‑model QPS, p95 latency, error‑rate, recent alert count, and a composite health score. It should (a) unload any model whose QPS falls below a configurable low‑traffic threshold **or** health_score < 0.3, releasing its cgroup memory and CPU quota; (b) keep a quantized (8‑bit or 4‑bit) checkpoint for every heavyweight model (≥30 B parameters) in memory so that a cold‑start reload can be satisfied within ≤200 ms; (c)","ts":1784785578.7150104,"backlog_idx":3},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_995e1d9e","directive":"Replace the current round‑robin dispatcher with a health‑aware, priority‑aware weighted router. The router must (a) ingest real‑time telemetry (p95 latency, success/error rates, recent alert count, CPU & memory usage) to compute a per‑model health score; (b) calculate a dynamic weight = health_score × capacity_factor (model size, max concurrency, cgroup quota); (c) perform weighted round‑robin selection; (d) automatically exclude any model whose weight falls below 0.2 and trip a per‑model circui","ts":1784783746.6392496,"backlog_idx":2},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_2e92a507","directive":"Deploy a predictive, multi‑tiered lifecycle manager that (a) continuously tracks per‑model QPS, p95 latency, error‑rate, recent alert count, and a composite health score; (b) unloads any model whose QPS falls below a configurable low‑traffic threshold **or** health_score < 0.3, releasing its cgroup memory and CPU quota; (c) keeps a quantized (8‑bit or 4‑bit) checkpoint for every heavyweight model (≥30 B parameters) resident in memory so that a cold‑start reload completes within ≤200 ms; (d) pred","ts":1784781914.498611,"backlog_idx":1},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_bbef1602","directive":"Replace the current round‑robin dispatcher with a health‑aware, priority‑aware weighted router. Continuously compute a per‑model health score from telemetry (p95 latency, error‑rate, recent alert count, CPU & memory usage). Derive a dynamic weight = health_score × capacity_factor (model size, max concurrency, cgroup quota). Perform weighted round‑robin selection, automatically exclude any model whose weight falls below 0.2, and embed per‑model circuit‑breakers that trip after three consecutive f","ts":1784780081.8445094,"backlog_idx":1},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_8cdba0da","directive":"Deploy an autonomous lifecycle manager that (a) monitors per‑model request volume, recent p95 latency, error‑rate, and a composite health score; (b) unloads models from RAM when average QPS falls below a configurable threshold **or** health_score drops below 0.3, releasing their cgroup resources; (c) maintains a warm‑up cache of model checkpoints so that a request targeting an unloaded model triggers a hot‑reload within ≤200 ms; (d) predicts daily usage patterns (e.g., boardroom_vote peaks) and ","ts":1784778212.3376524,"backlog_idx":0},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_8ad835ff","directive":"Replace the current round‑robin dispatcher with a health‑aware weighted router that (a) computes a per‑model health score from telemetry (p95 latency, error‑rate, recent alert count, CPU & memory usage), (b) derives a dynamic weight = health_score × capacity_factor (model size, max concurrency, cgroup quota), (c) performs weighted round‑robin selection, (d) automatically excludes models whose weight falls below 0.2, (e) adds per‑model circuit‑breakers that trip after three consecutive failures o","ts":1784776363.5474744,"backlog_idx":7},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_9f80b57c","directive":"Replace the existing round‑robin dispatcher with a health‑aware weighted router. Continuously compute a per‑model health score from telemetry (p95 latency, error‑rate, recent alert count, CPU & memory usage). Derive a dynamic weight = health_score × capacity_factor (model size, max concurrency, cgroup quota). Perform weighted round‑robin selection, automatically exclude any model whose weight falls below 0.2, and add a per‑model circuit‑breaker that trips after three consecutive failures or when","ts":1784774522.8678648,"backlog_idx":2},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_82cd254f","directive":"Replace the current round‑robin dispatcher with a health‑aware weighted router. Continuously compute a health score for each model from telemetry (p95 latency, error‑rate, recent alert count, CPU & memory usage). Derive a dynamic weight = health_score × capacity_factor (model size, max concurrency, cgroup quota). Use weighted round‑robin for request distribution, automatically excluding any model whose weight falls below 0.2. Add a per‑model circuit‑breaker that trips after three consecutive fai","ts":1784772689.3226206,"backlog_idx":5},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_3c7a2640","directive":"Replace the current round‑robin dispatcher with a health‑aware weighted router that (a) continuously computes a per‑model health score from telemetry (p95 latency, error‑rate, recent alert count, CPU & memory usage), (b) derives a dynamic weight = health_score × capacity_factor (model size, max concurrency, cgroup quota), (c) performs weighted round‑robin selection, (d) automatically excludes any model whose weight falls below 0.2, (e) adds a per‑model circuit‑breaker that trips after three cons","ts":1784770843.8717136,"backlog_idx":2},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_2a78223d","directive":"Replace the existing round‑robin dispatcher with a health‑aware weighted router. Continuously compute a health score per model from telemetry (p95 latency, error‑rate, recent alert count, CPU & memory usage). Derive a dynamic weight = health_score × capacity_factor (model size, max concurrency, cgroup quota). Perform weighted round‑robin selection, automatically excluding any model whose weight falls below 0.2. Add a per‑model circuit‑breaker that trips after three consecutive failures or when h","ts":1784769011.9154112,"backlog_idx":4},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_d2034cff","directive":"Introduce adaptive micro‑batching for CPU‑only inference. When a model receives >5 req/s, group incoming requests for the same model into micro‑batches (max 8‑16 tokens per request) and execute a single forward pass, then split the combined output back to individual responses. Provide a fast‑path bypass for latency‑critical boardroom_vote calls when the observed p95 latency approaches the SLA (5 ms). Expose `/batch/status` and emit Prometheus metrics (`batch_size_avg`, `batch_latency_ms`, `batch","ts":1784767164.36176,"backlog_idx":1},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_9b6aafd6","directive":"Replace the current round‑robin dispatcher with a health‑aware weighted router. Continuously compute a per‑model health score from telemetry (p95 latency, error‑rate, CPU & memory usage, recent alert count). Derive a dynamic weight = health_score × capacity_factor (model size, max concurrency, cgroup quota). Perform weighted round‑robin selection, automatically excluding any model whose weight falls below 0.2. Add a per‑model circuit‑breaker that trips after three consecutive failures or when he","ts":1784765332.4685476,"backlog_idx":1},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_c1f28613","directive":"Deploy an autonomous lifecycle manager that monitors per‑model request volume, recent p95 latency, error‑rate, and a composite health score. When usage falls below a configurable threshold **or** health_score drops below 0.3, automatically unload the model from RAM and release its cgroup resources. On a request targeting an unloaded model, hot‑reload it on‑demand using a warm‑up cache. Provide `/model/lifecycle/status` and emit Prometheus metrics (`model_unload_total`, `model_reload_total`, `mod","ts":1784763487.0702057,"backlog_idx":0},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_26f4e762","directive":"Deploy an autonomous lifecycle manager that monitors per‑model request volume, recent p95 latency, error‑rate, and health score. When a model's usage falls below a configurable threshold **or** its health score drops below 0.3, automatically unload the model from RAM and release its cgroup resources. On a request targeting an unloaded model, hot‑reload it on‑demand using a warm‑up cache. Provide `/model/lifecycle/status` and emit Prometheus metrics (`model_unload_total`, `model_reload_total`, `m","ts":1784761633.9246452,"backlog_idx":1},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_1a81dae6","directive":"Introduce adaptive micro‑batching for CPU‑only inference. When a model's request rate exceeds a low‑latency threshold (e.g., >5 req/s), group incoming requests for the same model into micro‑batches (max 8‑16 tokens per request) and execute a single forward pass, then split the combined output back to individual responses. Provide a fast‑path bypass for latency‑critical boardroom_vote calls when the observed p95 latency approaches the SLA (5 ms). Expose `/batch/status` and emit Prometheus metrics","ts":1784759788.3120947,"backlog_idx":0},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_49c3bf8d","directive":"Replace the current round‑robin dispatcher with a health‑aware weighted router. For each registered model compute a real‑time health score from telemetry (p95 latency, error‑rate, CPU & memory usage). Derive a dynamic weight = health_score × capacity_factor (model size, max concurrency, cgroup quota). Perform weighted round‑robin selection, automatically excluding models whose weight < 0.2. Add a per‑model circuit‑breaker that trips after three consecutive failures or when health_score < 0.4, se","ts":1784757915.4863055,"backlog_idx":6},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_0b487c1f","directive":"Replace the current round‑robin dispatcher with a health‑aware weighted router. Continuously compute a health score per model from telemetry (p95 latency, error‑rate, CPU & memory usage). Derive a dynamic weight = health_score × capacity_factor (model size, max concurrency, cgroup quota). Perform weighted round‑robin selection and automatically exclude any model whose weight falls below 0.2. Add a per‑model circuit‑breaker that trips after three consecutive failures or when health_score < 0.4, s","ts":1784756079.964466,"backlog_idx":5},{"overall_campaign_status":"FAILED","final_bdi_message":"BDI run FAILED_RECOVERY. Reason: Action 'PROPOSE_TOOL_STRATEGY' failed: Tool strategy LLM error: 'MastermindAgent' object has no attribute 'logger'","run_id":"mastermind_run_c8813dbb","directive":"Replace the current round‑robin dispatcher with a health‑aware weighted router. For every registered model compute a real‑time health score from telemetry (p95 latency, error‑rate, CPU & memory usage). Derive a dynamic weight = health_score × capacity_factor (model size, max concurrency, cgroup quota). Perform weighted round‑robin selection, automatically excluding models whose weight falls below 0.2. Add a per‑model circuit‑breaker that trips after three consecutive failures or when health_scor","ts":1784754202.092506,"backlog_idx":3}],"count":50}