LLM supervisor agent design #36
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Parent: #29
Blocked by: #30, #31, #32, #33
Question
How should the LLM supervisor agent be structured to drive the autonomous training loop?
Key sub-questions:
Depends on: all other decisions (output format, tunable params, delivery mechanism, stall detection strategy).
Out of scope for this map. The training runner is a standalone CLI tool; the LLM supervisor is a separate effort that simply invokes, monitors, and restarts this tool externally.