AXIOM KAI — Kaizen AI Orchestrator

Hardware Telemetry

CPU 6%

RAM 6.8 / 30.3 GB

GPU VRAM 6.4 / 15.9 GB

DISK STORAGE 481 / 913 GB

Kaizen ANI Evolution Loop

改 KAI (CHANGE)

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善 ZEN (GOOD)

ANI AXIOM KAI

1. Identify Anomalies (Telemetry)
Detect syntax failures, test breakages, or system telemetry alerts to isolate the defect.

Model Self-Training

1. Compile Dataset from Log History COMPLETED

2. Trigger Local QLoRA (Unsloth) RUNNING...

CLOUD GPU (RUNPOD) TRAINING:

3. Deploy RunPod GPU Instance PENDING

4. Rebuild & Activate Local Model PENDING

Kaizen Orchestrator Console

Pending Approvals (Human-in-the-Loop)

改善 KAI is running agentically. No approvals required at this time.

Kaizen Task Backlog

Fix search/replace validation false positives from conversational conflict marker text COMPLETED

Robust Model Response Parsing and Error Handling for SEARCH/REPLACE Blocks IN PROGRESS

The logs show repeated 'Model response contains unbalanced or malformed SEARCH/REPLACE blocks' errors from both 'gemini-default' and 'openai-default' adapters, leading to task failures and critical errors. This indicates a systemic issue in how model outputs are parsed or processed, rather than an isolated model failure.
Proposed Improvements: 1. Enhanced Parsing Logic: Review and strengthen the parsing logic within kai_engine/adapters/openai_generic.py and kai_engine/adapters/gemini.py to gracefully handle malformed blocks. 2. Standardized Error Reporting: Ensure errors are consistently caught. 3. Failure Analysis Integration: Categorize 'malformed blocks' as a distinct failure type. 4. Unit Tests: Add comprehensive parsing unit tests. 5. Configuration for Strictness: Introduce strict/lenient toggle configs.

Implement closed-loop architecture, task public flag, model health check retry extensions COMPLETED

Implement a more robust dead model handling and re-evaluation strategy QUEUED

The logs show multiple 'dead' models being skipped for redundant checks. While skipping is good, there's no clear mechanism for re-evaluating these models after a certain period or under specific conditions.

Live Agent Log Stream • MONITORING