Replace NodeConfig (static vram_mb, pinned) with NeuronEndpoint.
Hardware discovery and model pinning now come from neuron API and
models.toml catalogue respectively.
- config.rs: nodes -> neurons, add models_config path
- catalogue.rs: ModelProfile with pinned_on, ModelCatalogue
- poller.rs: poll neuron GET /models (ModelInfo format)
- router.rs: resolve inference endpoint via neuron GET /models/{id}/endpoint
- evictor.rs: call neuron POST /models/unload
- node.rs: remove vram_mb, pinned fields (come from discovery/catalogue)
- All 22 gateway tests updated to mock neuron API
- Remove MistralModelsResponse, ModelLifecycleRequest (no longer needed)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
102 lines
3.3 KiB
Rust
102 lines
3.3 KiB
Rust
//! Background poller that periodically queries each neuron's API
|
|
//! to refresh the fleet state.
|
|
|
|
use crate::state::CortexState;
|
|
use chrono::Utc;
|
|
use cortex_core::harness::ModelInfo;
|
|
use cortex_core::node::{ModelEntry, ModelStatus};
|
|
use std::sync::Arc;
|
|
use std::time::Duration;
|
|
|
|
const POLL_INTERVAL: Duration = Duration::from_secs(10);
|
|
|
|
/// Runs forever, polling all neurons on a fixed interval.
|
|
pub async fn poll_loop(fleet: Arc<CortexState>) {
|
|
loop {
|
|
poll_once(&fleet).await;
|
|
tokio::time::sleep(POLL_INTERVAL).await;
|
|
}
|
|
}
|
|
|
|
/// Poll all neurons once. Used by `poll_loop` and available for testing.
|
|
pub async fn poll_once(fleet: &CortexState) {
|
|
for nc in &fleet.neuron_configs {
|
|
poll_neuron(fleet, &nc.name, &nc.endpoint).await;
|
|
}
|
|
}
|
|
|
|
async fn poll_neuron(fleet: &CortexState, name: &str, endpoint: &str) {
|
|
let url = format!("{endpoint}/models");
|
|
|
|
let result = fleet
|
|
.http_client
|
|
.get(&url)
|
|
.timeout(Duration::from_secs(5))
|
|
.send()
|
|
.await;
|
|
|
|
let mut nodes = fleet.nodes.write().await;
|
|
let Some(node) = nodes.get_mut(name) else {
|
|
return;
|
|
};
|
|
|
|
match result {
|
|
Ok(resp) if resp.status().is_success() => {
|
|
match resp.json::<Vec<ModelInfo>>().await {
|
|
Ok(models) => {
|
|
let mut seen = std::collections::HashSet::new();
|
|
for upstream in &models {
|
|
seen.insert(upstream.id.clone());
|
|
let status = parse_status(&upstream.status);
|
|
|
|
node.models
|
|
.entry(upstream.id.clone())
|
|
.and_modify(|e| {
|
|
e.status = status;
|
|
e.vram_estimate_mb = upstream.vram_used_mb;
|
|
})
|
|
.or_insert_with(|| ModelEntry {
|
|
id: upstream.id.clone(),
|
|
status,
|
|
last_accessed: None,
|
|
vram_estimate_mb: upstream.vram_used_mb,
|
|
});
|
|
}
|
|
|
|
// Remove models no longer reported by the neuron.
|
|
node.models.retain(|id, _| seen.contains(id));
|
|
|
|
node.healthy = true;
|
|
node.last_poll = Some(Utc::now());
|
|
tracing::debug!(node = name, models = models.len(), "poll ok");
|
|
}
|
|
Err(e) => {
|
|
tracing::warn!(node = name, error = %e, "failed to parse /models response");
|
|
node.healthy = false;
|
|
}
|
|
}
|
|
}
|
|
Ok(resp) => {
|
|
tracing::warn!(
|
|
node = name,
|
|
status = %resp.status(),
|
|
"neuron returned non-success status"
|
|
);
|
|
node.healthy = false;
|
|
}
|
|
Err(e) => {
|
|
tracing::warn!(node = name, error = %e, "failed to reach neuron");
|
|
node.healthy = false;
|
|
}
|
|
}
|
|
}
|
|
|
|
fn parse_status(s: &str) -> ModelStatus {
|
|
match s {
|
|
"loaded" => ModelStatus::Loaded,
|
|
"unloaded" => ModelStatus::Unloaded,
|
|
"reloading" => ModelStatus::Reloading,
|
|
_ => ModelStatus::Loaded,
|
|
}
|
|
}
|