Probing the real server (192.168.1.72:11434) after it was opened to the LAN:
/v1/models returns exactly one model, gemma4:e2b. Without pinning it the
bot would request the built-in default llama3.1:8b and every reply would
fail with "model not found", so set it explicitly on both bots.
Also raise CONJURER_AI_TIMEOUT_SECONDS to 240. Self-hosted generation is far
slower than a hosted API, particularly the first request after the model is
evicted from VRAM. It applies to every backend, so it is deliberately not
set higher than needed.
Caveat recorded honestly: at the time of writing, generation on that server
does not complete. /v1/models answers instantly, but both /v1/chat/
completions (180s) and native /api/generate with num_predict=5 (60s) return
nothing, and /api/ps shows no model ever becomes resident - so the model
never finishes loading. Ollama is 0.32.14 and gemma4:e2b is 5.1B Q4_K_M
(~3.5GB) despite the "e2b" name. That is a server-side problem, not a
configuration one; these values are correct and take effect once it loads.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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