test(neuron): NEURON_DEBUG_POISON hook to verify auto-recovery (#17)

One-shot, env-gated fault injector for beast verification: when
NEURON_DEBUG_POISON names a model, the first request for it triggers the
auto-recovery path as if a device fault had occurred — exercising
unload→reload→healthy without corrupting the GPU. Latched so it fires
exactly once (no recovery loop). No-op unless the env var is set; wired
into both the single-GPU and TP chat poison gates.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

crates/neuron/src/harness/candle.rs

@@ -60,6 +60,17 @@ pub struct CandleHarness {
     /// can still load on CPU for tests, just without worker threads).
     #[allow(dead_code)]
     device_workers: Arc<RwLock<HashMap<u32, Arc<super::device_worker::DeviceWorkerHandle>>>>,
+    /// Auto-recovery (#17): model ids whose poisoned context is being
+    /// rebuilt via unload+reload. Insert is the single-flight gate (one
+    /// recovery per model in flight); membership also lets the request
+    /// path answer "recovering, retry shortly" during the reload gap
+    /// rather than a bare "not loaded".
+    recovering: Arc<RwLock<std::collections::HashSet<String>>>,
+    /// Sender to the background recovery task. The request path enqueues
+    /// a poisoned model id here; the task (holding a `Weak<Self>`) runs
+    /// the unload→reload→health-gate. Unbounded + tiny (model ids), and
+    /// the `recovering` set dedupes, so it can't back up.
+    recovery_tx: tokio::sync::mpsc::UnboundedSender<String>,
 }
 
 /// One entry in the harness's loaded-model registry. Single-GPU loads
@@ -86,6 +97,15 @@ impl LoadedHandle {
         }
     }
 
+    /// The spec this model was loaded from (for auto-recovery #17).
+    pub fn spec(&self) -> &ModelSpec {
+        match self {
+            LoadedHandle::Single(m) => &m.spec,
+            #[cfg(feature = "cuda")]
+            LoadedHandle::Tp(m) => &m.spec,
+        }
+    }
+
     pub fn devices(&self) -> Vec<u32> {
         match self {
             LoadedHandle::Single(m) => m.devices.clone(),
@@ -215,6 +235,10 @@ pub struct LoadedModel {
     /// `(h/factor) × (w/factor)` (#14 dynamic resolution). `None` for
     /// text-only models. Set at load time.
     pub image_grid_factor: Option<usize>,
+    /// The spec this model was loaded from — retained so auto-recovery
+    /// (#17) can `unload_model` + `load_model(spec)` a poisoned model
+    /// without an operator reconstructing it.
+    pub spec: ModelSpec,
 }
 
 impl LoadedModel {
@@ -289,6 +313,9 @@ pub struct TpLoadedModel {
     /// Pixel→LM-grid divisor — same as
     /// [`LoadedModel::image_grid_factor`].
     pub image_grid_factor: Option<usize>,
+    /// Loading spec, retained for auto-recovery (#17) — see
+    /// [`LoadedModel::spec`].
+    pub spec: ModelSpec,
 }
 
 #[cfg(feature = "cuda")]
@@ -792,6 +819,46 @@ fn poisoned_error(model_id: &str) -> InferenceError {
     ))
 }
 
+/// Reported while auto-recovery (#17) is rebuilding a poisoned model's
+/// context. Unlike [`poisoned_error`] this is a *transient* state — the
+/// model is being reloaded automatically; the client should retry.
+fn recovering_error(model_id: &str) -> InferenceError {
+    InferenceError::Other(anyhow::anyhow!(
+        "model '{model_id}' is recovering (its device context was poisoned \
+         by an earlier failure and is being automatically rebuilt); retry \
+         shortly"
+    ))
+}
+
+/// Verification hook for #17 auto-recovery. When `NEURON_DEBUG_POISON`
+/// names a model, the **first** request for it (process-wide) returns
+/// true, so the request path can trigger recovery as if a device fault
+/// had occurred — exercising the unload→reload→healthy cycle without
+/// corrupting the GPU. One-shot (a `swap` latch) so it can't loop the
+/// model through endless recoveries. No-op unless the env var is set.
+fn debug_poison_armed(model_id: &str) -> bool {
+    static FIRED: std::sync::atomic::AtomicBool = std::sync::atomic::AtomicBool::new(false);
+    let armed = std::env::var("NEURON_DEBUG_POISON").ok().as_deref() == Some(model_id);
+    armed && !FIRED.swap(true, Ordering::Relaxed)
+}
+
+/// Background auto-recovery task (#17). Drains poisoned model ids and
+/// rebuilds each via [`CandleHarness::recover_one`]. Holds a `Weak` so a
+/// shutting-down harness lets the task exit; processes one id at a time,
+/// which (with the `recovering` set deduping enqueues) keeps recovery
+/// single-flight per model.
+async fn recovery_loop(
+    weak: std::sync::Weak<CandleHarness>,
+    mut rx: tokio::sync::mpsc::UnboundedReceiver<String>,
+) {
+    while let Some(model_id) = rx.recv().await {
+        let Some(this) = weak.upgrade() else {
+            break;
+        };
+        this.recover_one(&model_id).await;
+    }
+}
+
 /// Free/total VRAM on the candle `Device` in MiB. Returns `(0, 0)` if
 /// the query fails or the device is the CPU fallback so logging never
 /// crashes the request path. Mirrors the existing helper in
@@ -1146,7 +1213,7 @@ impl CandleHarness {
     /// Construct a new harness for `bind_url` using `config`. Resolves
     /// every configured source's auth env var and cache dir up front so
     /// the hot load path (`hf_api_for`) is a pure HashMap lookup.
-    pub fn new(bind_url: String, config: &crate::config::CandleHarnessConfig) -> Self {
+    pub fn new(bind_url: String, config: &crate::config::CandleHarnessConfig) -> Arc<Self> {
         let raw_sources = config.effective_sources();
         let default_source = config.effective_default_source().to_string();
         let mut sources = HashMap::with_capacity(raw_sources.len());
@@ -1196,13 +1263,25 @@ impl CandleHarness {
                  bare model ids will fail to resolve until this is fixed"
             );
         }
-        Self {
+        let (recovery_tx, recovery_rx) = tokio::sync::mpsc::unbounded_channel::<String>();
+        let this = Arc::new(Self {
             models: Arc::new(RwLock::new(HashMap::new())),
             sources,
             default_source,
             bind_url,
             device_workers: Arc::new(RwLock::new(HashMap::new())),
+            recovering: Arc::new(RwLock::new(std::collections::HashSet::new())),
+            recovery_tx,
+        });
+        // Background auto-recovery task (#17). Holds a `Weak` so it can't
+        // keep the harness alive. Spawned only when a tokio runtime is
+        // present — sync unit tests that build a harness without one
+        // simply skip it (they don't exercise recovery).
+        if tokio::runtime::Handle::try_current().is_ok() {
+            let weak = Arc::downgrade(&this);
+            tokio::spawn(recovery_loop(weak, recovery_rx));
         }
+        this
     }
 
     /// Scheme to substitute for bare `org/name` model ids. Mirrors the
@@ -1627,7 +1706,17 @@ impl CandleHarness {
             let models = self.models.read().await;
             models.get(&request.model).cloned()
         };
-        let handle = handle.ok_or_else(|| InferenceError::ModelNotLoaded(request.model.clone()))?;
+        let handle = match handle {
+            Some(h) => h,
+            // Absent from the registry: distinguish a genuinely unloaded
+            // model from one whose slot is briefly gone mid auto-recovery
+            // (#17), so the client gets a transient "retry shortly" instead
+            // of a misleading "not loaded".
+            None if self.is_recovering(&request.model).await => {
+                return Err(recovering_error(&request.model));
+            }
+            None => return Err(InferenceError::ModelNotLoaded(request.model.clone())),
+        };
         // The match is technically infallible without `cuda` (only Single
         // exists), but the cfg-gated Tp arm makes this the right shape
         // under both feature flags.
@@ -1657,7 +1746,12 @@ impl CandleHarness {
         if loaded.poisoned.load(Ordering::Acquire) {
             let _g = span.enter();
             tracing::warn!("chat_completion: refusing request, model poisoned");
-            return Err(poisoned_error(&model_id));
+            return Err(self.trigger_recovery(&model_id).await);
+        }
+        if debug_poison_armed(&model_id) {
+            let _g = span.enter();
+            tracing::warn!("NEURON_DEBUG_POISON: forcing auto-recovery (#17 verification)");
+            return Err(self.trigger_recovery(&model_id).await);
         }
 
         // Serialise concurrent requests against this model. Holds for
@@ -2036,7 +2130,17 @@ impl CandleHarness {
             let models = self.models.read().await;
             models.get(&request.model).cloned()
         };
-        let handle = handle.ok_or_else(|| InferenceError::ModelNotLoaded(request.model.clone()))?;
+        let handle = match handle {
+            Some(h) => h,
+            // Absent from the registry: distinguish a genuinely unloaded
+            // model from one whose slot is briefly gone mid auto-recovery
+            // (#17), so the client gets a transient "retry shortly" instead
+            // of a misleading "not loaded".
+            None if self.is_recovering(&request.model).await => {
+                return Err(recovering_error(&request.model));
+            }
+            None => return Err(InferenceError::ModelNotLoaded(request.model.clone())),
+        };
         // The match is technically infallible without `cuda` (only Single
         // exists), but the cfg-gated Tp arm makes this the right shape
         // under both feature flags.
@@ -2129,7 +2233,7 @@ impl CandleHarness {
         // Refuse if the model is already poisoned. No point opening
         // an SSE stream just to send the Start event and then bail.
         if loaded.poisoned.load(Ordering::Acquire) {
-            return Err(poisoned_error(&model_id));
+            return Err(self.trigger_recovery(&model_id).await);
         }
 
         // Start event: tells the wire projector to emit its
@@ -2347,6 +2451,69 @@ pub struct InferenceStream {
     pub reasoning_markers: Option<ReasoningTokenPair>,
 }
 
+/// Auto-recovery (#17) — rebuild a poisoned model's device context
+/// automatically instead of leaving it bricked until a human reloads.
+impl CandleHarness {
+    /// True while `model_id` is being auto-recovered (its slot is briefly
+    /// absent from the registry during the reload).
+    pub async fn is_recovering(&self, model_id: &str) -> bool {
+        self.recovering.read().await.contains(model_id)
+    }
+
+    /// Single-flight trigger from the request path: enqueue a rebuild for a
+    /// poisoned model (only the first caller per model enqueues) and return
+    /// the transient "recovering" error to hand back to the client.
+    async fn trigger_recovery(&self, model_id: &str) -> InferenceError {
+        let newly = self.recovering.write().await.insert(model_id.to_string());
+        if newly {
+            tracing::warn!(model = %model_id, "auto-recovery: poisoned, enqueueing rebuild");
+            if self.recovery_tx.send(model_id.to_string()).is_err() {
+                // Background task gone (harness shutting down). Drop the
+                // marker and fall back to the manual-reload message.
+                self.recovering.write().await.remove(model_id);
+                tracing::error!(model = %model_id, "auto-recovery: task unavailable");
+                return poisoned_error(model_id);
+            }
+        }
+        recovering_error(model_id)
+    }
+
+    /// Rebuild a poisoned model: `unload_model` (drops it → cudarc aborts
+    /// NCCL + releases the context) then `load_model` from the retained
+    /// spec. A successful reload re-runs NCCL init + sanity inside the load
+    /// path, so it returns a fresh, healthy model; a failed reload leaves
+    /// the model unloaded (recoverable by the next load), never poisoned
+    /// forever. Runs on the background task — never inline on the request
+    /// path (would deadlock on the `models` write lock).
+    async fn recover_one(&self, model_id: &str) {
+        let spec = {
+            let models = self.models.read().await;
+            models.get(model_id).map(|h| h.spec().clone())
+        };
+        let Some(spec) = spec else {
+            self.recovering.write().await.remove(model_id);
+            return;
+        };
+        tracing::warn!(model = %model_id, "auto-recovery: unload+reload starting");
+        if let Err(e) = self.unload_model(model_id).await {
+            tracing::error!(
+                model = %model_id,
+                error = %format!("{e:#}"),
+                "auto-recovery: unload failed (continuing to reload)"
+            );
+        }
+        match self.load_model(&spec).await {
+            Ok(()) => tracing::info!(model = %model_id, "auto-recovery: reloaded; model healthy"),
+            Err(e) => tracing::error!(
+                model = %model_id,
+                error = %format!("{e:#}"),
+                "auto-recovery: reload failed; model left unloaded"
+            ),
+        }
+        self.recovering.write().await.remove(model_id);
+    }
+}
+
 #[async_trait]
 impl Harness for CandleHarness {
     fn name(&self) -> &str {
@@ -2550,6 +2717,7 @@ impl Harness for CandleHarness {
             has_vision: vision_meta.has_vision,
             image_token_id: vision_meta.image_token_id,
             image_grid_factor: vision_meta.image_grid_factor,
+            spec: spec.clone(),
         });
 
         let mut models = self.models.write().await;
@@ -2788,6 +2956,7 @@ impl CandleHarness {
             has_vision: vision_meta.has_vision,
             image_token_id: vision_meta.image_token_id,
             image_grid_factor: vision_meta.image_grid_factor,
+            spec: spec.clone(),
         });
 
         let mut models = self.models.write().await;
@@ -2834,7 +3003,12 @@ impl CandleHarness {
         if tp.poisoned.load(Ordering::Acquire) {
             let _g = span.enter();
             tracing::warn!("TP chat_completion: refusing request, model poisoned");
-            return Err(poisoned_error(&model_id));
+            return Err(self.trigger_recovery(&model_id).await);
+        }
+        if debug_poison_armed(&model_id) {
+            let _g = span.enter();
+            tracing::warn!("NEURON_DEBUG_POISON: forcing auto-recovery (#17 verification)");
+            return Err(self.trigger_recovery(&model_id).await);
         }
 
         // Reject image-bearing requests against a TP model with no
@@ -2923,7 +3097,7 @@ impl CandleHarness {
         request: ChatCompletionRequest,
     ) -> Result<InferenceStream, InferenceError> {
         if tp.poisoned.load(Ordering::Acquire) {
-            return Err(poisoned_error(&request.model));
+            return Err(self.trigger_recovery(&request.model).await);
         }
 
         // Reject image requests against a non-vision TP model before

crates/neuron/src/harness/mod.rs

@@ -114,10 +114,8 @@ impl HarnessRegistry {
         for config in configs {
             match config.name.as_str() {
                 "candle" => {
-                    let harness = Arc::new(candle::CandleHarness::new(
+                    let harness =
-                        bind_url.to_string(),
+                        candle::CandleHarness::new(bind_url.to_string(), &settings.candle);
-                        &settings.candle,
-                    ));
                     registry.candle = Some(Arc::clone(&harness));
                     registry.harnesses.insert("candle".into(), harness);
                 }

crates/neuron/src/harness/preprocess.rs

@@ -55,12 +55,23 @@ pub struct PreprocessProfile {
     pub image_std: [f32; 3],
 }
 
-/// Default pixel budget for Qwen3.6 (`256² … 1024²` → 64 … 1024 LM
+/// The Qwen3.6 vision tower rejects any image whose **patch** count
-/// tokens/image). Generous for documents/OCR, bounded for serving on
+/// exceeds its learned pos-embed budget (`num_position_embeddings =
-/// 2×RTX5090. Operators tune with `NEURON_VISION_MIN_PIXELS` /
+/// 2304 = 48²`; see `vision.rs`). At `patch_size = 16` that is
-/// `NEURON_VISION_MAX_PIXELS` (matching the other `NEURON_VISION_*` knobs).
+/// `2304 × 16² = 589_824` source pixels. `max_pixels` is hard-capped to
+/// this so `smart_resize` can never produce an over-budget grid — a
+/// per-rank "patch count exceeds pos_embed budget" error mid-TP-forward
+/// would otherwise poison the device context. The pos-embed grid is the
+/// resolution Qwen3.6 was trained at, so this cap is principled, not just
+/// defensive.
+const QWEN3_6_MAX_PIXELS_CAP: u32 = 2304 * 16 * 16; // 589_824 → ≤ 2304 patches → ≤ 576 LM tokens
+
+/// Default pixel budget for Qwen3.6: `256²` (64 LM tokens) up to the
+/// pos-embed cap (576 LM tokens). Generous for documents/OCR, bounded
+/// for serving. Operators lower it with `NEURON_VISION_MIN_PIXELS` /
+/// `NEURON_VISION_MAX_PIXELS` (the upper bound is still clamped to the
+/// cap above — raising it past the budget would poison the model).
 const QWEN3_6_MIN_PIXELS: u32 = 65_536;
-const QWEN3_6_MAX_PIXELS: u32 = 1_048_576;
 
 fn env_pixels(name: &str, default: u32) -> u32 {
     std::env::var(name)
@@ -72,15 +83,19 @@ fn env_pixels(name: &str, default: u32) -> u32 {
 impl PreprocessProfile {
     /// Profile for Qwen3.6. Native-aspect `smart_resize` (factor 32),
     /// normalise to `[-1, 1]` via mean=std=0.5. Pixel budget defaults to
-    /// [`QWEN3_6_MIN_PIXELS`]…[`QWEN3_6_MAX_PIXELS`], overridable via the
+    /// [`QWEN3_6_MIN_PIXELS`]…[`QWEN3_6_MAX_PIXELS_CAP`], overridable via
-    /// `NEURON_VISION_MIN_PIXELS` / `NEURON_VISION_MAX_PIXELS` env vars.
+    /// `NEURON_VISION_MIN_PIXELS` / `NEURON_VISION_MAX_PIXELS`. Clamped
-    /// The budget is clamped sane: `min ≥ factor²` (at least one LM token)
+    /// sane: `factor² ≤ min ≤ max`, and `max ≤` the pos-embed cap (so the
-    /// and `max ≥ min`.
+    /// vision tower never rejects a resized image and poisons the context).
     pub fn qwen3_6() -> Self {
         let factor = 32u32;
         let f2 = factor * factor;
-        let min_pixels = env_pixels("NEURON_VISION_MIN_PIXELS", QWEN3_6_MIN_PIXELS).max(f2);
+        let min_pixels = env_pixels("NEURON_VISION_MIN_PIXELS", QWEN3_6_MIN_PIXELS)
-        let max_pixels = env_pixels("NEURON_VISION_MAX_PIXELS", QWEN3_6_MAX_PIXELS).max(min_pixels);
+            .max(f2)
+            .min(QWEN3_6_MAX_PIXELS_CAP);
+        let max_pixels = env_pixels("NEURON_VISION_MAX_PIXELS", QWEN3_6_MAX_PIXELS_CAP)
+            .min(QWEN3_6_MAX_PIXELS_CAP)
+            .max(min_pixels);
         Self {
             factor,
             min_pixels,
@@ -388,6 +403,28 @@ mod tests {
         assert!(format!("{err:#}").contains("200:1"));
     }
 
+    #[test]
+    fn qwen3_6_never_exceeds_pos_embed_patch_budget() {
+        // The pos-embed cap must hold for huge, tall, wide, and extreme
+        // images — exceeding 2304 patches errors mid-tower and poisons
+        // the device context, so this invariant is load-bearing.
+        let p = PreprocessProfile::qwen3_6();
+        for (sh, sw) in [
+            (8000u32, 6000u32),
+            (808, 1600),
+            (4000, 400),
+            (1, 199),
+            (16, 16),
+        ] {
+            let (h, w) = p.resized_dims(sh, sw).unwrap();
+            let patches = (h / 16) * (w / 16);
+            assert!(
+                patches <= 2304,
+                "{sh}x{sw} → {h}x{w} = {patches} patches exceeds the 2304 budget"
+            );
+        }
+    }
+
     #[test]
     fn qwen3_6_default_budget_bounds_lm_tokens() {
         // A huge source image caps at max_pixels → the per-image LM token