rob thijssen
6779b7526a
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Stage 5 of the candle-native pivot. Adds first-class support for auto-loading a configured set of models when the neuron service activates. Config: - NeuronConfig.default_models: Vec<ModelSpec> (defaults to []). - neuron.example.toml ships a commented [[default_models]] example. Activation flow (crates/neuron/src/startup.rs::load_default_models): - Sequential — VRAM contention makes parallel loads risky. - Per-entry timing logged at info level on success. - Failures logged as warnings; the next entry is still attempted. - An empty list short-circuits without log noise. Called from main.rs after the registry is built and before the axum listener binds, so /models reflects the loaded state from the very first request. data/neuron.service gains TimeoutStartSec=1800s. With activation blocked on potentially slow first-time HF downloads + GGUF materialisation, systemd's default 90s would kill larger model loads mid-flight. Two non-gated tests in tests/activation.rs cover the continues-past-failure and empty-list paths using a synthetically unknown harness name to fail loads fast without touching the network. The cuda-integration test from earlier stages still exercises the real load/unload lifecycle. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
21 lines
586 B
Desktop File
21 lines
586 B
Desktop File
[Unit]
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Description=Neuron — per-node GPU discovery and harness daemon for cortex
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After=network-online.target
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Wants=network-online.target
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[Service]
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Type=simple
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ExecStart=/usr/bin/neuron --config /etc/neuron/neuron.toml
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Restart=on-failure
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RestartSec=5
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User=neuron
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Group=neuron
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# Loading default_models from neuron.toml happens before the HTTP
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# listener binds; large models can take many minutes to download and
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# materialise on first activation. systemd's default TimeoutStartSec
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# (90s) is far too short; allow 30 minutes.
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TimeoutStartSec=1800s
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[Install]
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WantedBy=multi-user.target
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