Files
cortex/crates/neuron/src/harness/mod.rs
rob thijssen 3cccc2c56b refactor(neuron): cut mistralrs/llamacpp, scaffold candle harness
Stage 1 of the candle-native pivot. Replaces the external-process
harness model (mistralrs over HTTP, llamacpp placeholder) with an
in-process Harness trait whose sole implementation is candle. The
trait keeps its shape so future engines slot in additively, but
start/stop default to no-ops and HarnessConfig drops endpoint and
systemd_unit since no harness needs external supervision.

Behaviour is unchanged on the wire: load_model returns a "not
implemented yet (Stage 2)" error and list_models is empty. The
gateway-side proxy, poller, and router are untouched.

CLAUDE.md Phase 11 (llama.cpp) and Phase 12 (mistral.rs COPR) are
marked superseded; the staged plan lives in
~/.claude/plans/create-a-more-aggressive-calm-naur.md.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-18 15:53:04 +03:00

102 lines
3.2 KiB
Rust

//! Harness registry — maps harness names to trait implementations.
pub mod candle;
use anyhow::Result;
use cortex_core::harness::{Harness, HarnessConfig, ModelInfo, ModelSpec};
use std::collections::HashMap;
/// Registry of available harness implementations.
pub struct HarnessRegistry {
harnesses: HashMap<String, Box<dyn Harness>>,
}
impl Default for HarnessRegistry {
fn default() -> Self {
Self::new()
}
}
impl HarnessRegistry {
pub fn new() -> Self {
Self {
harnesses: HashMap::new(),
}
}
pub fn register(&mut self, harness: Box<dyn Harness>) {
self.harnesses.insert(harness.name().to_string(), harness);
}
/// List all registered harness names.
pub fn names(&self) -> Vec<String> {
self.harnesses.keys().cloned().collect()
}
/// List models from all registered harnesses.
pub async fn list_all_models(&self) -> Result<Vec<ModelInfo>> {
let mut all = Vec::new();
for harness in self.harnesses.values() {
match harness.list_models().await {
Ok(models) => all.extend(models),
Err(e) => {
tracing::warn!(harness = harness.name(), error = %e, "failed to list models");
}
}
}
Ok(all)
}
/// Load a model on the specified harness.
pub async fn load_model(&self, spec: &ModelSpec) -> Result<()> {
let harness = self
.harnesses
.get(&spec.harness)
.ok_or_else(|| anyhow::anyhow!("unknown harness: {}", spec.harness))?;
harness.load_model(spec).await
}
/// Unload a model. Tries each harness until one claims it.
pub async fn unload_model(&self, model_id: &str) -> Result<()> {
for harness in self.harnesses.values() {
match harness.list_models().await {
Ok(models) if models.iter().any(|m| m.id == model_id) => {
return harness.unload_model(model_id).await;
}
_ => continue,
}
}
anyhow::bail!("model '{model_id}' not found on any harness")
}
/// Get the inference endpoint for a model.
pub async fn inference_endpoint(&self, model_id: &str) -> Option<String> {
for harness in self.harnesses.values() {
if let Some(url) = harness.inference_endpoint(model_id).await {
return Some(url);
}
}
None
}
/// Build a registry from harness configs.
///
/// `bind_url` is the URL where this neuron serves inference (its own
/// listen address). In-process harnesses (currently the only kind)
/// return this URL from `inference_endpoint`.
pub fn from_configs(configs: &[HarnessConfig], bind_url: &str) -> Self {
let mut registry = Self::new();
for config in configs {
match config.name.as_str() {
"candle" => {
registry.register(Box::new(candle::CandleHarness::new(bind_url.to_string())));
}
other => {
tracing::warn!(harness = other, "unknown harness type, skipping");
}
}
}
registry
}
}