Smoke-testing the first deploy uncovered three default-config issues
that no amount of Quadlet tuning would have caught:
1. DIALECTIC subsystem ignored DERIVER_MODEL_CONFIG__*. Honcho splits
dialectic into five reasoning levels (minimal/low/medium/high/max)
each with its own MODEL_CONFIG that defaults to OpenAI. Without
overrides, every /chat call fails with: ValidationException:
Missing API key for openai model config. Now setting all five
DIALECTIC_LEVELS__<level>__MODEL_CONFIG__* env vars to anthropic.
2. DERIVER batches representation tasks until a token threshold is
reached. For low-volume homelab use (one chatty operator), tasks
can sit unprocessed forever. Add DERIVER_FLUSH_ENABLED knob,
default true.
3. Embeddings default to OpenAI text-embedding-3-small. Anthropic
has no embedding API, so without an OpenAI key the embed step
fails the entire derivation. Default EMBED_MESSAGES=false until
a separate embedding provider is wired up (OpenAI for embeds-only
or a local BGE endpoint on astro-orbiter).
defaults/main.yml documents all three issues and the migration path
back to embeddings when ready.
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