feat(#70): helexa-router binary skeleton — plaintext axum server

Foundation for epic #69 (public multi-operator ingress proxy). New
`crates/helexa-router` workspace binary: a plaintext axum server that
reuses cortex-core types and serves the two stub endpoints the rest of
#69 builds on.

- `[router] listen` + `[[cortexes]]` config via figment + `HELEXA_ROUTER_`
  env overrides, matching the cortex/neuron convention.
- `GET /health` reports the configured downstream cortex count.
- `GET /v1/models` returns an empty OpenAI list (real cross-operator
  aggregation is #75).
- No inbound TLS listener (edge nginx terminates client TLS per #69's
  posture); no auth layer — the router forwards the client bearer to
  cortex and holds zero entitlement logic (#47 stays additive).
- 3 tests: both endpoints over a real ephemeral-port server, plus
  TOML+env config load.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01F6o3ddqmYNh9kzdwq6eowh

CLAUDE.md

@@ -185,6 +185,32 @@ Run these locally before pushing. `cargo fmt --all` fixes formatting
 automatically. Clippy warnings must be resolved, not suppressed with
 `#[allow(...)]` unless there is a clear rationale.
 
+## Development workflow
+
+Work each change on its own branch; `main` stays releasable.
+
+1. Implement on a feature branch (`fix/<issue>-…`, `feat/<issue>-…`).
+2. Run the CI triad locally (`cargo fmt --check --all`,
+   `cargo clippy --workspace -- -D warnings`, `cargo test --workspace`).
+   Local builds are **CPU-only** — the `#[cfg(feature = "cuda")]` neuron/TP
+   paths do NOT compile locally. The branch CI's **CUDA type-check** job is
+   the only thing that validates them, so for any neuron change the push to
+   Gitea is the real gate, not a rubber stamp.
+3. Push the branch on local-green (no need to ask first), and background-watch
+   its CI run via the gitea-mcp `actions_run_read` tools. Start the next piece
+   of work meanwhile.
+4. Merge to `main` when the four **validation** jobs are green — Format,
+   Clippy, Test, CUDA type-check. The SRPM / COPR / version-bump jobs are the
+   deploy pipeline (they run on `main`), not validation — don't wait on them.
+5. Merging/pushing to `main` triggers the auto-deploy pipeline.
+
+Docs-only changes (no `#[cfg(feature = "cuda")]` impact) can go straight to
+`main` — there's nothing for the CUDA type-check to prove.
+
+SSH note: the gitea remote host offers multiple agent keys and cuts the
+connection before reaching the right one. This repo pins the working key via
+`git config core.sshCommand "ssh -i ~/.ssh/id_grenade -o IdentitiesOnly=yes"`.
+
 ## Environment
 
 - Targets Fedora 43 (systemd, SELinux enforcing)

Cargo.lock

@@ -1922,6 +1922,24 @@ dependencies = [
  "tracing-subscriber",
 ]
 
+[[package]]
+name = "helexa-router"
+version = "0.1.16"
+dependencies = [
+ "anyhow",
+ "axum",
+ "clap",
+ "cortex-core",
+ "figment",
+ "reqwest",
+ "serde",
+ "serde_json",
+ "tokio",
+ "tower-http",
+ "tracing",
+ "tracing-subscriber",
+]
+
 [[package]]
 name = "hermit-abi"
 version = "0.5.2"

Cargo.toml

@@ -7,6 +7,7 @@ members = [
     "crates/neuron",
     "crates/helexa-acp",
     "crates/helexa-bench",
+    "crates/helexa-router",
 ]
 
 [workspace.package]

crates/cortex-core/src/discovery.rs

@@ -68,6 +68,57 @@ pub struct HealthResponse {
     pub devices: Vec<DeviceHealth>,
     #[serde(default)]
     pub activation: ActivationStatus,
+    /// Per-model admission load (#53): how many requests are running vs.
+    /// queued on each loaded model right now. Cortex's load-aware router
+    /// (#55) reads this to spread traffic across replicas and to propagate
+    /// honest backpressure. `#[serde(default)]` keeps older gateways/neurons
+    /// interoperable (absent → empty → treated as no load info).
+    #[serde(default)]
+    pub models: Vec<ModelLoad>,
+}
+
+/// Live admission load for one loaded model (#53).
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct ModelLoad {
+    pub id: String,
+    /// Requests currently running (batch-1 → 0 or 1).
+    pub in_flight: usize,
+    /// Requests waiting in the bounded admission queue.
+    pub queue_depth: usize,
+}
+
+#[cfg(test)]
+mod health_load_tests {
+    use super::*;
+
+    #[test]
+    fn health_response_without_models_field_still_deserializes() {
+        // A pre-#53 neuron's /health payload omits `models`; the gateway
+        // must still parse it (serde default → empty).
+        let json = r#"{"uptime_secs":42,"devices":[]}"#;
+        let resp: HealthResponse = serde_json::from_str(json).expect("back-compat parse");
+        assert_eq!(resp.uptime_secs, 42);
+        assert!(resp.models.is_empty());
+    }
+
+    #[test]
+    fn health_response_round_trips_model_load() {
+        let resp = HealthResponse {
+            uptime_secs: 1,
+            devices: vec![],
+            activation: ActivationStatus::default(),
+            models: vec![ModelLoad {
+                id: "Qwen/Qwen3.6-27B".into(),
+                in_flight: 1,
+                queue_depth: 3,
+            }],
+        };
+        let s = serde_json::to_string(&resp).unwrap();
+        let back: HealthResponse = serde_json::from_str(&s).unwrap();
+        assert_eq!(back.models.len(), 1);
+        assert_eq!(back.models[0].in_flight, 1);
+        assert_eq!(back.models[0].queue_depth, 3);
+    }
 }
 
 /// High-level activation state of the neuron daemon. The HTTP listener

crates/cortex-core/src/harness.rs

@@ -54,10 +54,26 @@ pub struct ModelLimit {
     pub output: usize,
 }
 
-/// Operator-set pricing in USD per 1M tokens.
+/// Operator-set pricing, **USD per 1,000,000 tokens, as JSON numbers**
+/// (`float`) — the models.dev/opencode `cost` convention, which is what
+/// helexa's primary client reads. NOT per-token, NOT decimal strings (that
+/// is OpenRouter's `pricing` shape, which helexa deliberately does not emit
+/// — see #68). A client must not rescale by 10⁶.
 ///
-/// Self-hosted deployments typically leave both at `0.0`.  Cache fields are
-/// optional — set when the backend supports a prefix-cache discount tier.
+/// `cost` is sourced from the operator's `models.toml` catalogue profile and
+/// surfaced verbatim on `/v1/models`. The *absent* vs *zero* distinction is
+/// intentional and load-bearing (#68):
+/// - **`cost` absent** (the whole object omitted) — the model is **not
+///   priced**: the operator has not declared a rate. Clients should treat
+///   spend as unknown, not free.
+/// - **`cost` present with `input`/`output` = `0.0`** — the model is
+///   **intentionally free** (self-hosted, no charge). opencode renders `$0`.
+///
+/// Cache fields are optional — set them only when the backend supports a
+/// prefix-cache discount tier (relevant once cache-token reporting, #64,
+/// lands). The advertised rate here must equal the rate metering (#51) and
+/// reconciliation (#58/#59) bill against; today both read this catalogue
+/// value.
 #[derive(Debug, Clone, Serialize, Deserialize)]
 pub struct ModelCost {
     /// USD per 1M input (prompt) tokens.
@@ -98,7 +114,8 @@ pub struct ModelInfo {
     /// `None` when neither the catalogue nor the loaded model can provide it.
     #[serde(default, skip_serializing_if = "Option::is_none")]
     pub limit: Option<ModelLimit>,
-    /// Operator-set pricing in USD per 1M tokens (0.0 = free/self-hosted).
+    /// Operator-set pricing — see [`ModelCost`] for units and the
+    /// absent (not priced) vs `0.0` (intentionally free) distinction.
     #[serde(default, skip_serializing_if = "Option::is_none")]
     pub cost: Option<ModelCost>,
     /// `true` when the model's tokenizer contains recognised tool-call

crates/cortex-core/src/node.rs

@@ -1,4 +1,4 @@
-use crate::discovery::{ActivationStatus, DiscoveryResponse};
+use crate::discovery::{ActivationStatus, DiscoveryResponse, ModelLoad};
 use crate::harness::{ModelCost, ModelLimit};
 use chrono::{DateTime, Utc};
 use serde::{Deserialize, Serialize};
@@ -27,6 +27,17 @@ pub struct NodeState {
     /// to synthesize `Loading` locations so clients see a catalogued
     /// model that's mid-prewarm as "loading", not "missing".
     pub activation: Option<ActivationStatus>,
+    /// Last-seen per-model admission load from this neuron's `/health`
+    /// (#53), keyed by model id. The router (#55) reads it to pick the
+    /// least-busy replica when a model is loaded on more than one neuron.
+    /// Empty until the first /health poll reports load.
+    pub model_load: HashMap<String, ModelLoad>,
+    /// Consecutive failed `/models` polls. The poller marks a node
+    /// unhealthy only once this crosses a threshold, so a single transient
+    /// miss (e.g. a neuron momentarily slow to answer while busy) doesn't
+    /// yank the node — and all its models — out of routing. Reset to 0 on
+    /// any successful poll.
+    pub consecutive_poll_failures: u32,
 }
 
 /// A model registered on a node, with its runtime status.
@@ -125,7 +136,9 @@ pub struct CortexModelEntry {
     /// at load time. `None` when neither source provides it.
     #[serde(default, skip_serializing_if = "Option::is_none")]
     pub limit: Option<ModelLimit>,
-    /// Operator-set pricing in USD per 1M tokens (0.0 = free/self-hosted).
+    /// Operator-set pricing from the catalogue profile — see
+    /// [`cortex_core::harness::ModelCost`] for units (USD per 1M tokens) and
+    /// the absent (not priced) vs `0.0` (intentionally free) distinction.
     #[serde(default, skip_serializing_if = "Option::is_none")]
     pub cost: Option<ModelCost>,
     /// `true` when any neuron reports this model supports tool calls.

crates/cortex-gateway/src/auth.rs

@@ -83,9 +83,23 @@ pub async fn require_principal(
                 req.extensions_mut().insert(principal);
                 next.run(req).await
             }
-            // A present-but-invalid credential is always an error, even when
-            // anonymous access is otherwise allowed.
-            Err(_) => unauthorized("invalid API key"),
+            // An unrecognized key only hard-fails when auth is *required*.
+            // In allow-anonymous mode (the default) we must IGNORE it and
+            // serve the request unauthenticated — otherwise the placeholder
+            // keys that OpenAI-compatible clients send by default (opencode,
+            // Open WebUI, Agent Zero, litellm) would all break, even though
+            // the operator never opted into auth. Pre-#49 the bearer was
+            // never inspected at all; this preserves that for require_auth=false.
+            Err(_) => {
+                if fleet.require_auth {
+                    unauthorized("invalid API key")
+                } else {
+                    tracing::debug!(
+                        "ignoring unrecognized bearer token (require_auth=false): serving anonymously"
+                    );
+                    next.run(req).await
+                }
+            }
         },
         None => {
             if fleet.require_auth {

crates/cortex-gateway/src/handlers.rs

@@ -761,6 +761,19 @@ async fn proxy_with_metrics(
     body: Bytes,
     model_id: &str,
 ) -> Response {
+    // Fail-fast prompt pre-validation (#56): refuse a prompt that already
+    // exceeds the model's advertised context window *before* dispatching to
+    // neuron — the same `400 context_length_exceeded` neuron would emit on
+    // overflow, just earlier and without burning a cold-load/queue slot.
+    // cortex has no tokenizer, so the estimate under-counts and neuron stays
+    // the exact wall; we only catch gross overages (the A0 failure mode).
+    if let Some(context) = advertised_context(fleet, &route.node_name, model_id).await {
+        let est = estimate_prompt_tokens(&body);
+        if est > context {
+            return context_length_exceeded_response(context, est, &headers);
+        }
+    }
+
     let labels = [
         ("model", model_id.to_string()),
         ("node", route.node_name.clone()),
@@ -844,6 +857,98 @@ async fn advertised_output_limit(
         .map(|l| l.output as u64)
 }
 
+/// The model's advertised hard context window (`limit.context`, #62/#67) on a
+/// node, used for fail-fast prompt pre-validation (#56). `None` when no limit
+/// is known — pre-validation is then skipped and neuron remains the wall.
+async fn advertised_context(fleet: &CortexState, node_name: &str, model_id: &str) -> Option<u64> {
+    let nodes = fleet.nodes.read().await;
+    nodes
+        .get(node_name)?
+        .models
+        .get(model_id)?
+        .limit
+        .as_ref()
+        .map(|l| l.context as u64)
+}
+
+/// Conservative prompt-token estimate (~4 chars/token over message text).
+/// cortex has no tokenizer; under-counting is the safe direction — we only
+/// pre-reject gross overages (#56), and neuron enforces the exact wall.
+fn estimate_prompt_tokens(body: &[u8]) -> u64 {
+    let Ok(v) = serde_json::from_slice::<Value>(body) else {
+        return (body.len() as u64 / 4).max(1);
+    };
+    let mut chars = 0usize;
+    if let Some(messages) = v.get("messages").and_then(Value::as_array) {
+        for m in messages {
+            match m.get("content") {
+                Some(Value::String(s)) => chars += s.len(),
+                Some(Value::Array(parts)) => {
+                    for p in parts {
+                        if let Some(t) = p.get("text").and_then(Value::as_str) {
+                            chars += t.len();
+                        }
+                    }
+                }
+                _ => {}
+            }
+            chars += 8; // rough per-message role/formatting overhead
+        }
+    } else if let Some(prompt) = v.get("prompt").and_then(Value::as_str) {
+        chars += prompt.len(); // legacy /v1/completions
+    } else {
+        return (body.len() as u64 / 4).max(1);
+    }
+    (chars as u64 / 4).max(1)
+}
+
+/// Client-specific, advisory guidance for an over-long prompt (#56),
+/// fingerprinted from `User-Agent`. Strictly advisory: it rides the
+/// `X-Helexa-Advice` header only, never the error envelope, and behaviour
+/// never depends on it. Unknown clients get nothing.
+fn client_advice(headers: &HeaderMap) -> Option<&'static str> {
+    let ua = headers
+        .get(axum::http::header::USER_AGENT)?
+        .to_str()
+        .ok()?
+        .to_ascii_lowercase();
+    if ua.contains("litellm") {
+        Some(
+            "litellm forwards the full context; lower the configured context window or enable client-side compaction",
+        )
+    } else if ua.contains("agent-zero") || ua.contains("agent zero") {
+        Some("reduce the conversation/context size or summarize earlier turns before resending")
+    } else if ua.contains("zed") {
+        Some("reduce the assistant context window in Zed's settings")
+    } else {
+        None
+    }
+}
+
+/// `400 context_length_exceeded` for an over-long prompt caught at the edge
+/// (#56), in the #60 envelope — the same shape neuron emits on overflow, so
+/// clients (opencode auto-compacts) handle it identically. Attaches the
+/// advisory `X-Helexa-Advice` header for fingerprinted clients.
+fn context_length_exceeded_response(
+    context: u64,
+    prompt_est: u64,
+    headers: &HeaderMap,
+) -> Response {
+    let env = OpenAiError::context_length_exceeded(format!(
+        "This model's maximum context length is {context} tokens. Your request is \
+         estimated at ~{prompt_est} tokens. Please reduce the length of the messages."
+    ))
+    .with_extra("max", json!(context))
+    .with_extra("estimated_prompt_tokens", json!(prompt_est));
+    let mut response = crate::error::envelope_response(env);
+    if let Some(advice) = client_advice(headers)
+        && let Ok(value) = axum::http::HeaderValue::from_str(advice)
+    {
+        response.headers_mut().insert("x-helexa-advice", value);
+    }
+    response
+}
+
 /// Update `last_accessed` timestamp for a model on a node (drives LRU eviction).
 async fn touch_model(fleet: &CortexState, node_name: &str, model_id: &str) {
     let mut nodes = fleet.nodes.write().await;

crates/cortex-gateway/src/poller.rs

@@ -5,12 +5,29 @@ use crate::state::CortexState;
 use chrono::Utc;
 use cortex_core::discovery::{DiscoveryResponse, HealthResponse};
 use cortex_core::harness::ModelInfo;
-use cortex_core::node::{ModelEntry, ModelStatus};
+use cortex_core::node::{ModelEntry, ModelStatus, NodeState};
 use std::sync::Arc;
 use std::time::Duration;
 
 const POLL_INTERVAL: Duration = Duration::from_secs(10);
 
+/// Consecutive failed `/models` polls before a node is marked unhealthy.
+/// Debounces transient misses (a busy neuron briefly slow to answer) so a
+/// single blip can't yank a node — and its models — out of routing. At the
+/// 10s poll interval this tolerates ~20s of flapping before evicting.
+const POLL_FAILURE_THRESHOLD: u32 = 3;
+
+/// Record a failed poll for `node`, marking it unhealthy only once failures
+/// reach [`POLL_FAILURE_THRESHOLD`]. Below the threshold the node keeps its
+/// last-known health, riding over transient misses. A successful poll resets
+/// the counter (see the success arm in `poll_once`).
+fn record_poll_failure(node: &mut NodeState) {
+    node.consecutive_poll_failures = node.consecutive_poll_failures.saturating_add(1);
+    if node.consecutive_poll_failures >= POLL_FAILURE_THRESHOLD {
+        node.healthy = false;
+    }
+}
+
 /// Runs forever, polling all neurons on a fixed interval.
 pub async fn poll_loop(fleet: Arc<CortexState>) {
     loop {
@@ -138,13 +155,14 @@ async fn poll_neuron(fleet: &CortexState, name: &str, endpoint: &str) {
                     // Remove models no longer reported by the neuron.
                     node.models.retain(|id, _| seen.contains(id));
 
+                    node.consecutive_poll_failures = 0;
                     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;
+                    record_poll_failure(node);
                 }
             }
         }
@@ -154,11 +172,11 @@ async fn poll_neuron(fleet: &CortexState, name: &str, endpoint: &str) {
                 status = %resp.status(),
                 "neuron returned non-success status"
             );
-            node.healthy = false;
+            record_poll_failure(node);
         }
         Err(e) => {
             tracing::warn!(node = name, error = %e, "failed to reach neuron");
-            node.healthy = false;
+            record_poll_failure(node);
         }
     }
 
@@ -200,6 +218,9 @@ async fn poll_health(fleet: &CortexState, name: &str, endpoint: &str) {
             let mut nodes = fleet.nodes.write().await;
             if let Some(node) = nodes.get_mut(name) {
                 node.activation = Some(h.activation);
+                // Per-model admission load (#53) → keyed by id for the
+                // load-aware router (#55).
+                node.model_load = h.models.into_iter().map(|m| (m.id.clone(), m)).collect();
             }
         }
         Err(e) => {

crates/cortex-gateway/src/router.rs

@@ -50,6 +50,10 @@ pub enum RouteError {
         "model '{model_id}' is in the catalogue but no healthy neuron's topology satisfies its constraints"
     )]
     NoFeasibleNeuron { model_id: String },
+    #[error(
+        "model '{model_id}' is feasible on a neuron that is currently unhealthy — retry shortly"
+    )]
+    FeasibleNodeUnhealthy { model_id: String },
     #[error("cold-load of '{model_id}' on '{node}' failed: {message}")]
     ColdLoadFailed {
         model_id: String,
@@ -68,7 +72,9 @@ impl RouteError {
     /// safe to retry the same request); everything else is 404.
     pub fn http_status(&self) -> u16 {
         match self {
-            RouteError::NoHealthyNodes | RouteError::ModelRecovering { .. } => 503,
+            RouteError::NoHealthyNodes
+            | RouteError::ModelRecovering { .. }
+            | RouteError::FeasibleNodeUnhealthy { .. } => 503,
             _ => 404,
         }
     }
@@ -81,7 +87,8 @@ impl RouteError {
             | RouteError::EndpointResolveFailed(_, _)
             | RouteError::NoFeasibleNeuron { .. }
             | RouteError::ColdLoadFailed { .. }
-            | RouteError::ModelRecovering { .. } => "api_error",
+            | RouteError::ModelRecovering { .. }
+            | RouteError::FeasibleNodeUnhealthy { .. } => "api_error",
         }
     }
 
@@ -94,6 +101,7 @@ impl RouteError {
             RouteError::NoFeasibleNeuron { .. } => "service_unavailable",
             RouteError::ColdLoadFailed { .. } => "service_unavailable",
             RouteError::ModelRecovering { .. } => "service_unavailable",
+            RouteError::FeasibleNodeUnhealthy { .. } => "service_unavailable",
         }
     }
 
@@ -105,6 +113,7 @@ impl RouteError {
     pub fn retry_after_secs(&self) -> Option<u64> {
         match self {
             RouteError::ModelRecovering { .. } => Some(2),
+            RouteError::FeasibleNodeUnhealthy { .. } => Some(3),
             RouteError::NoHealthyNodes => Some(5),
             _ => None,
         }
@@ -132,7 +141,9 @@ pub async fn resolve(
     // Snapshot loaded / unloaded / recovering state from the poller cache.
     let (loaded_route, unloaded_route, recovering_node, any_healthy) = {
         let nodes = fleet.nodes.read().await;
-        let mut loaded_route = None;
+        // All healthy nodes with the model loaded, each with its current
+        // admission load (#53) so we can pick the least-busy replica (#55).
+        let mut loaded_candidates: Vec<(String, String, usize)> = Vec::new();
         let mut unloaded_route = None;
         let mut recovering_node = None;
         let mut any_healthy = false;
@@ -144,8 +155,15 @@ pub async fn resolve(
             if let Some(entry) = node.models.get(model_id) {
                 match entry.status {
                     ModelStatus::Loaded | ModelStatus::Reloading => {
-                        loaded_route = Some((node.name.clone(), node.endpoint.clone(), false));
-                        break;
+                        // Least-busy score: in-flight + queued from the
+                        // neuron's last /health (#53). Unknown load (no poll
+                        // yet) scores 0 so the replica stays eligible.
+                        let score = node
+                            .model_load
+                            .get(model_id)
+                            .map(|l| l.in_flight + l.queue_depth)
+                            .unwrap_or(0);
+                        loaded_candidates.push((node.name.clone(), node.endpoint.clone(), score));
                     }
                     ModelStatus::Unloaded => {
                         if unloaded_route.is_none() {
@@ -175,6 +193,12 @@ pub async fn resolve(
                 }
             }
         }
+        // Pick the least-busy loaded replica; ties break by node name for
+        // deterministic routing. `false` = not a cold start.
+        let loaded_route = loaded_candidates
+            .into_iter()
+            .min_by(|a, b| a.2.cmp(&b.2).then_with(|| a.0.cmp(&b.0)))
+            .map(|(name, endpoint, _score)| (name, endpoint, false));
         (loaded_route, unloaded_route, recovering_node, any_healthy)
     };
 
@@ -237,11 +261,32 @@ async fn pick_feasible_neuron(
         b.2.cmp(&a.2) // pinned first (true > false)
             .then(a.0.cmp(&b.0))
     });
-    let pick = candidates.into_iter().next();
-    pick.map(|(n, e, _)| (n, e))
-        .ok_or_else(|| RouteError::NoFeasibleNeuron {
+    if let Some((n, e, _)) = candidates.into_iter().next() {
+        return Ok((n, e));
+    }
+
+    // No *healthy* feasible neuron. Distinguish a transient outage from a
+    // permanent misconfiguration: if some neuron is topologically feasible
+    // but currently unhealthy (e.g. it briefly missed polls while busy),
+    // this is retryable — return 503 + Retry-After so the client backs off
+    // and retries instead of treating a 404 as a hard failure. Only when no
+    // neuron could *ever* satisfy the topology is it a permanent 404.
+    let feasible_but_unhealthy = nodes.values().any(|node| {
+        !node.healthy
+            && node
+                .discovery
+                .as_ref()
+                .is_some_and(|disc| profile.is_feasible_on(&node.name, &disc.devices))
+    });
+    if feasible_but_unhealthy {
+        Err(RouteError::FeasibleNodeUnhealthy {
             model_id: profile.id.clone(),
         })
+    } else {
+        Err(RouteError::NoFeasibleNeuron {
+            model_id: profile.id.clone(),
+        })
+    }
 }
 
 /// Issue `POST {endpoint}/models/load` for this profile on this neuron,

crates/cortex-gateway/src/state.rs

@@ -37,6 +37,8 @@ impl CortexState {
                     last_poll: None,
                     discovery: None,
                     activation: None,
+                    model_load: HashMap::new(),
+                    consecutive_poll_failures: 0,
                 },
             );
         }

crates/cortex-gateway/tests/auth.rs

@@ -175,11 +175,33 @@ async fn missing_key_when_required_is_401_invalid_api_key() {
 }
 
 #[tokio::test]
-async fn invalid_key_is_401_even_when_auth_not_required() {
+async fn unrecognized_key_is_ignored_when_auth_not_required() {
     let (neuron, seen) = spawn_capturing_neuron().await;
-    // A present-but-wrong credential is always an error.
+    // allow-anonymous mode: a placeholder/unknown bearer (as opencode,
+    // Open WebUI, Agent Zero, litellm all send by default) must NOT be
+    // rejected — it's ignored and the request is served anonymously.
     let gateway = spawn_gateway(&neuron, one_key_config(false)).await;
 
+    let resp = reqwest::Client::new()
+        .post(format!("{gateway}/v1/chat/completions"))
+        .bearer_auth("sk-dummy-placeholder")
+        .json(&chat_body())
+        .send()
+        .await
+        .unwrap();
+
+    assert_eq!(resp.status(), reqwest::StatusCode::OK);
+    let _ = resp.bytes().await.unwrap();
+    // Served, but anonymous — no principal stamped from the bogus key.
+    assert!(seen.lock().unwrap().account_id.is_none());
+}
+
+#[tokio::test]
+async fn invalid_key_is_401_when_auth_required() {
+    let (neuron, seen) = spawn_capturing_neuron().await;
+    // With auth required, a present-but-wrong credential is rejected.
+    let gateway = spawn_gateway(&neuron, one_key_config(true)).await;
+
     let resp = reqwest::Client::new()
         .post(format!("{gateway}/v1/chat/completions"))
         .bearer_auth("sk-wrong")

crates/cortex-gateway/tests/feasibility_routing.rs

@@ -0,0 +1,124 @@
+//! Router: a catalogued model whose only topologically-feasible neuron is
+//! currently unhealthy is a *transient* condition (retryable 503), not a
+//! permanent 404. This is the exact shape of the beast incident: benjy/
+//! quadbrat (1 GPU, healthy) can't host the 27B, and beast (2 GPU) — the
+//! sole feasible node — briefly drops out → clients must back off and retry,
+//! not hard-fail.
+
+use cortex_core::config::{
+    EvictionSettings, EvictionStrategy, GatewayConfig, GatewaySettings, NeuronEndpoint,
+};
+use cortex_core::discovery::{DeviceInfo, DiscoveryResponse};
+use cortex_gateway::router::{self, RouteError};
+use cortex_gateway::state::CortexState;
+use std::sync::Arc;
+
+fn devices(n: usize) -> Vec<DeviceInfo> {
+    (0..n)
+        .map(|i| DeviceInfo {
+            index: i as u32,
+            name: "RTX 5090".into(),
+            vram_total_mb: 32_768,
+            compute_capability: "9.0".into(),
+        })
+        .collect()
+}
+
+fn discovery(host: &str, n_devices: usize) -> DiscoveryResponse {
+    DiscoveryResponse {
+        hostname: host.into(),
+        os: "Linux".into(),
+        kernel: "7.0".into(),
+        cuda_version: Some("13.0".into()),
+        driver_version: Some("999".into()),
+        devices: devices(n_devices),
+        harnesses: vec!["candle".into()],
+        cuda_unavailable_reason: None,
+        max_prompt_tokens: 49_152,
+    }
+}
+
+/// Catalogue with one model needing 2 devices. Returns a temp path.
+fn write_catalogue() -> std::path::PathBuf {
+    let toml = r#"
+[[models]]
+id = "big-model"
+harness = "candle"
+min_devices = 2
+"#;
+    let path = std::env::temp_dir().join("cortex_test_feasibility_models.toml");
+    std::fs::write(&path, toml).unwrap();
+    path
+}
+
+async fn fleet_with(big_healthy: bool, big_devices: usize) -> Arc<CortexState> {
+    let cat = write_catalogue();
+    let config = GatewayConfig {
+        gateway: GatewaySettings {
+            listen: "127.0.0.1:0".into(),
+            metrics_listen: "127.0.0.1:0".into(),
+        },
+        eviction: EvictionSettings {
+            strategy: EvictionStrategy::Lru,
+            defrag_after_cycles: 0,
+        },
+        neurons: vec![
+            NeuronEndpoint {
+                name: "small".into(),
+                endpoint: "http://127.0.0.1:1".into(),
+            },
+            NeuronEndpoint {
+                name: "big".into(),
+                endpoint: "http://127.0.0.1:2".into(),
+            },
+        ],
+        models_config: cat.to_string_lossy().into_owned(),
+        entitlements: Default::default(),
+    };
+    let fleet = Arc::new(CortexState::from_config(&config));
+    {
+        let mut nodes = fleet.nodes.write().await;
+        // "small" is healthy but only has 1 GPU → not feasible for the model.
+        let small = nodes.get_mut("small").unwrap();
+        small.healthy = true;
+        small.discovery = Some(discovery("small", 1));
+        // "big" has enough GPUs but its health is the variable under test.
+        let big = nodes.get_mut("big").unwrap();
+        big.healthy = big_healthy;
+        big.discovery = Some(discovery("big", big_devices));
+    }
+    fleet
+}
+
+#[tokio::test]
+async fn feasible_node_unhealthy_is_transient_503() {
+    // big (2 GPU, the only feasible node) is unhealthy; small (1 GPU) is
+    // healthy but can't host the model → retryable, not a permanent 404.
+    let fleet = fleet_with(false, 2).await;
+    let err = router::resolve(&fleet, "big-model")
+        .await
+        .expect_err("model can't be served right now");
+    assert!(
+        matches!(err, RouteError::FeasibleNodeUnhealthy { .. }),
+        "expected FeasibleNodeUnhealthy, got {err:?}"
+    );
+    assert_eq!(err.http_status(), 503);
+    assert_eq!(err.retry_after_secs(), Some(3));
+    assert_eq!(err.code(), "service_unavailable");
+}
+
+#[tokio::test]
+async fn no_node_can_ever_satisfy_is_permanent_404() {
+    // big is healthy but only has 1 GPU now (e.g. topology genuinely can't
+    // satisfy min_devices=2 anywhere) → permanent, non-retryable 404.
+    let fleet = fleet_with(true, 1).await;
+    let err = router::resolve(&fleet, "big-model")
+        .await
+        .expect_err("no feasible topology");
+    assert!(
+        matches!(err, RouteError::NoFeasibleNeuron { .. }),
+        "expected NoFeasibleNeuron, got {err:?}"
+    );
+    assert_eq!(err.http_status(), 404);
+    assert_eq!(err.retry_after_secs(), None);
+}

crates/cortex-gateway/tests/load_routing.rs

@@ -0,0 +1,189 @@
+//! Load-aware routing across replicas (#55).
+//!
+//! When a model is loaded on more than one healthy neuron, the router picks
+//! the least-busy replica using the per-model admission load each neuron
+//! reports on `GET /health` (#53), rather than always taking the first.
+
+mod common;
+
+use axum::Json;
+use axum::extract::Path;
+use axum::http::{StatusCode, header};
+use axum::response::IntoResponse;
+use axum::routing::{get, post};
+use cortex_core::config::{
+    EvictionSettings, EvictionStrategy, GatewayConfig, GatewaySettings, NeuronEndpoint,
+};
+use cortex_core::discovery::ModelLoad;
+use cortex_core::node::{ModelEntry, ModelStatus};
+use cortex_gateway::state::CortexState;
+use serde_json::{Value, json};
+use std::sync::Arc;
+use tokio::net::TcpListener;
+
+/// Seed a node as healthy with `test-model` loaded and a given admission load.
+async fn seed_loaded(fleet: &CortexState, node: &str, in_flight: usize, queue_depth: usize) {
+    let mut nodes = fleet.nodes.write().await;
+    let n = nodes.get_mut(node).expect("node exists");
+    n.healthy = true;
+    n.models.insert(
+        "test-model".into(),
+        ModelEntry {
+            id: "test-model".into(),
+            status: ModelStatus::Loaded,
+            last_accessed: None,
+            vram_estimate_mb: Some(8000),
+            capabilities: Vec::new(),
+            tool_call: false,
+            reasoning: false,
+            limit: None,
+        },
+    );
+    n.model_load.insert(
+        "test-model".into(),
+        ModelLoad {
+            id: "test-model".into(),
+            in_flight,
+            queue_depth,
+        },
+    );
+}
+
+/// Build a gateway state over two mock neurons (no poller; we seed state).
+async fn two_neuron_fleet(endpoint_a: &str, endpoint_b: &str) -> Arc<CortexState> {
+    let config = GatewayConfig {
+        gateway: GatewaySettings {
+            listen: "127.0.0.1:0".into(),
+            metrics_listen: "127.0.0.1:0".into(),
+        },
+        eviction: EvictionSettings {
+            strategy: EvictionStrategy::Lru,
+            defrag_after_cycles: 0,
+        },
+        neurons: vec![
+            NeuronEndpoint {
+                name: "node-a".into(),
+                endpoint: endpoint_a.to_string(),
+            },
+            NeuronEndpoint {
+                name: "node-b".into(),
+                endpoint: endpoint_b.to_string(),
+            },
+        ],
+        models_config: "/dev/null".into(),
+        entitlements: Default::default(),
+    };
+    Arc::new(CortexState::from_config(&config))
+}
+
+#[tokio::test]
+async fn routes_to_least_busy_replica() {
+    let neuron_a = common::spawn_mock_neuron().await;
+    let neuron_b = common::spawn_mock_neuron().await;
+    let fleet = two_neuron_fleet(&neuron_a, &neuron_b).await;
+
+    // A is busy (1 running + 3 queued), B is idle.
+    seed_loaded(&fleet, "node-a", 1, 3).await;
+    seed_loaded(&fleet, "node-b", 0, 0).await;
+
+    let route = cortex_gateway::router::resolve(&fleet, "test-model")
+        .await
+        .expect("model is loaded on both nodes");
+    assert_eq!(route.node_name, "node-b", "should pick the idle replica");
+
+    // Flip the load: now B is the busy one.
+    seed_loaded(&fleet, "node-a", 0, 0).await;
+    seed_loaded(&fleet, "node-b", 1, 5).await;
+    let route = cortex_gateway::router::resolve(&fleet, "test-model")
+        .await
+        .expect("still loaded");
+    assert_eq!(route.node_name, "node-a", "should follow the lighter load");
+}
+
+/// Mock neuron whose inference endpoint always returns a #63 backpressure
+/// envelope (503 + Retry-After) — simulating a saturated neuron.
+async fn spawn_busy_neuron() -> String {
+    let listener = TcpListener::bind("127.0.0.1:0").await.unwrap();
+    let addr = listener.local_addr().unwrap();
+    let base_url = format!("http://{addr}");
+    let inference_url = base_url.clone();
+    let app = axum::Router::new()
+        .route(
+            "/models/{model_id}/endpoint",
+            get(move |Path(_): Path<String>| {
+                let url = inference_url.clone();
+                async move { Json(json!({ "url": url })) }
+            }),
+        )
+        .route(
+            "/v1/chat/completions",
+            post(|| async {
+                let body = json!({"error": {
+                    "message": "model is busy (admission queue full); retry shortly",
+                    "type": "rate_limit_error",
+                    "code": "rate_limit_exceeded",
+                    "param": null
+                }});
+                (
+                    StatusCode::SERVICE_UNAVAILABLE,
+                    [(header::RETRY_AFTER, "6")],
+                    Json(body),
+                )
+                    .into_response()
+            }),
+        );
+    tokio::spawn(async move {
+        axum::serve(listener, app).await.unwrap();
+    });
+    base_url
+}
+
+#[tokio::test]
+async fn neuron_backpressure_is_propagated_intact() {
+    // A saturated neuron's 503 + Retry-After + envelope must reach the client
+    // verbatim — not unwrapped, remapped, or stripped (#55 / #63).
+    let neuron = spawn_busy_neuron().await;
+    let fleet = two_neuron_fleet(&neuron, &neuron).await;
+    seed_loaded(&fleet, "node-a", 1, 8).await;
+
+    let app = cortex_gateway::build_app(Arc::clone(&fleet));
+    let listener = TcpListener::bind("127.0.0.1:0").await.unwrap();
+    let addr = listener.local_addr().unwrap();
+    tokio::spawn(async move {
+        axum::serve(listener, app).await.unwrap();
+    });
+
+    let resp = reqwest::Client::new()
+        .post(format!("http://{addr}/v1/chat/completions"))
+        .json(&json!({"model": "test-model", "messages": [{"role": "user", "content": "hi"}]}))
+        .send()
+        .await
+        .unwrap();
+
+    assert_eq!(resp.status(), reqwest::StatusCode::SERVICE_UNAVAILABLE);
+    assert_eq!(
+        resp.headers()
+            .get(reqwest::header::RETRY_AFTER)
+            .and_then(|v| v.to_str().ok()),
+        Some("6"),
+        "Retry-After must survive the proxy"
+    );
+    let body: Value = resp.json().await.unwrap();
+    assert_eq!(body["error"]["code"], "rate_limit_exceeded");
+}
+
+#[tokio::test]
+async fn ties_break_deterministically_by_name() {
+    let neuron_a = common::spawn_mock_neuron().await;
+    let neuron_b = common::spawn_mock_neuron().await;
+    let fleet = two_neuron_fleet(&neuron_a, &neuron_b).await;
+
+    // Equal load on both → stable pick (lowest node name).
+    seed_loaded(&fleet, "node-a", 0, 0).await;
+    seed_loaded(&fleet, "node-b", 0, 0).await;
+
+    let route = cortex_gateway::router::resolve(&fleet, "test-model")
+        .await
+        .expect("loaded");
+    assert_eq!(route.node_name, "node-a", "ties break by name");
+}

crates/cortex-gateway/tests/model_cost.rs

@@ -0,0 +1,131 @@
+//! Issue #68: the `cost` wire contract on `GET /v1/models`.
+//!
+//! `cost` is operator-set pricing sourced from the `models.toml` catalogue
+//! profile (the source of truth today; the marketplace clearing house #59
+//! later — both must read the same value metering/#51 bills against). The
+//! shape is the models.dev/opencode convention: **USD per 1,000,000 tokens,
+//! as JSON numbers**, with optional `cache_read`/`cache_write` tiers. This
+//! test pins:
+//!   - the units/shape (per-million floats, not per-token, not strings);
+//!   - that cache fields flow through when present and are omitted otherwise;
+//!   - the load-bearing **absent vs `0.0`** distinction (#68): a model with
+//!     no catalogue `cost` omits the key entirely (price unknown), distinct
+//!     from an explicit `0.0` (intentionally free).
+//!
+//! Catalogue-only models surface via Pass 1 of `list_models` even with no
+//! feasible neuron, so this is hermetic — no nodes or poller needed.
+
+use cortex_core::config::{
+    EvictionSettings, EvictionStrategy, GatewayConfig, GatewaySettings, NeuronEndpoint,
+};
+use cortex_gateway::state::CortexState;
+use std::sync::Arc;
+use tokio::net::TcpListener;
+
+#[tokio::test]
+async fn v1_models_cost_units_shape_and_absent_vs_zero() {
+    // Three catalogue models exercise the whole contract: a priced model
+    // with cache tiers, an intentionally-free model (explicit 0.0), and an
+    // unpriced model (no `cost` block at all).
+    let models_toml = r#"
+[[models]]
+id = "priced-model"
+harness = "candle"
+cost.input = 0.5
+cost.output = 1.5
+cost.cache_read = 0.05
+cost.cache_write = 0.6
+
+[[models]]
+id = "free-model"
+harness = "candle"
+cost.input = 0.0
+cost.output = 0.0
+
+[[models]]
+id = "unpriced-model"
+harness = "candle"
+"#;
+    let cat_path = std::env::temp_dir().join("cortex_test_issue68_models.toml");
+    std::fs::write(&cat_path, models_toml).unwrap();
+
+    let config = GatewayConfig {
+        gateway: GatewaySettings {
+            listen: "127.0.0.1:0".into(),
+            metrics_listen: "127.0.0.1:0".into(),
+        },
+        eviction: EvictionSettings {
+            strategy: EvictionStrategy::Lru,
+            defrag_after_cycles: 0,
+        },
+        // Never contacted: build_app does not spawn the poller, so the
+        // catalogue alone drives /v1/models.
+        neurons: vec![NeuronEndpoint {
+            name: "mock-node".into(),
+            endpoint: "http://127.0.0.1:1".into(),
+        }],
+        models_config: cat_path.to_string_lossy().into_owned(),
+        entitlements: Default::default(),
+    };
+
+    let fleet = Arc::new(CortexState::from_config(&config));
+    let app = cortex_gateway::build_app(Arc::clone(&fleet));
+    let listener = TcpListener::bind("127.0.0.1:0").await.unwrap();
+    let addr = listener.local_addr().unwrap();
+    tokio::spawn(async move {
+        axum::serve(listener, app).await.unwrap();
+    });
+
+    let body: serde_json::Value = reqwest::Client::new()
+        .get(format!("http://{addr}/v1/models"))
+        .send()
+        .await
+        .unwrap()
+        .json()
+        .await
+        .unwrap();
+
+    let data = body["data"].as_array().expect("data is an array");
+    let entry = |id: &str| {
+        data.iter()
+            .find(|m| m["id"] == id)
+            .unwrap_or_else(|| panic!("{id} present in /v1/models"))
+            .clone()
+    };
+
+    // Priced model: exact values flow through as JSON numbers (USD per 1M
+    // tokens). If anything rescaled by 10⁶ or stringified, these fail.
+    let priced = entry("priced-model");
+    assert_eq!(priced["cost"]["input"], 0.5);
+    assert_eq!(priced["cost"]["output"], 1.5);
+    assert_eq!(priced["cost"]["cache_read"], 0.05);
+    assert_eq!(priced["cost"]["cache_write"], 0.6);
+    assert!(
+        priced["cost"]["input"].is_number(),
+        "cost.input must be a JSON number, not a string"
+    );
+
+    // Intentionally free: cost present, rates explicitly 0.0. Unset cache
+    // tiers are omitted (skip_serializing_if), not emitted as null/0.
+    let free = entry("free-model");
+    assert_eq!(free["cost"]["input"], 0.0);
+    assert_eq!(free["cost"]["output"], 0.0);
+    assert!(
+        free["cost"].get("cache_read").is_none(),
+        "absent cache tiers must be omitted, not null"
+    );
+    assert!(free["cost"].get("cache_write").is_none());
+
+    // Unpriced: the whole `cost` object is omitted — "price unknown",
+    // distinct from the free model's explicit 0.0. This is the #68
+    // distinction opencode needs to avoid showing $0 for a model whose
+    // price simply hasn't been declared.
+    let unpriced = entry("unpriced-model");
+    assert!(
+        unpriced.get("cost").is_none(),
+        "a model with no catalogue cost must omit `cost` entirely, got {:?}",
+        unpriced.get("cost")
+    );
+
+    let _ = std::fs::remove_file(&cat_path);
+}

crates/cortex-gateway/tests/poller.rs

@@ -228,10 +228,26 @@ async fn test_poller_marks_unreachable_node_unhealthy() {
         nodes.get_mut("dead-node").unwrap().healthy = true;
     }
 
+    // Debounce (#53 follow-up): a single missed poll must NOT evict a
+    // previously-healthy node — a busy neuron briefly slow to answer
+    // shouldn't yank its models out of routing.
     cortex_gateway::poller::poll_once(&fleet).await;
+    assert!(
+        fleet.nodes.read().await.get("dead-node").unwrap().healthy,
+        "one failed poll should not mark a healthy node unhealthy"
+    );
 
-    let nodes = fleet.nodes.read().await;
-    assert!(!nodes.get("dead-node").unwrap().healthy);
+    // It flips unhealthy only after POLL_FAILURE_THRESHOLD (3) consecutive
+    // failures.
+    cortex_gateway::poller::poll_once(&fleet).await;
+    cortex_gateway::poller::poll_once(&fleet).await;
+    assert!(
+        !fleet.nodes.read().await.get("dead-node").unwrap().healthy,
+        "three consecutive failed polls should mark the node unhealthy"
+    );
+
+    // A subsequent successful poll would reset the counter and restore
+    // health; covered implicitly by the discovery tests above.
 }
 
 #[tokio::test]

crates/cortex-gateway/tests/prompt_prevalidation.rs

@@ -0,0 +1,174 @@
+//! Fail-fast prompt pre-validation + advisory client hints (#56).
+//!
+//! cortex refuses a prompt that already exceeds the model's advertised
+//! context window before dispatching to neuron — the same #60
+//! `context_length_exceeded` envelope neuron would emit, just earlier — and
+//! attaches an advisory `X-Helexa-Advice` header for fingerprinted clients.
+
+use axum::Json;
+use axum::extract::Path;
+use axum::routing::{get, post};
+use cortex_core::config::{
+    EvictionSettings, EvictionStrategy, GatewayConfig, GatewaySettings, NeuronEndpoint,
+};
+use cortex_core::harness::ModelLimit;
+use cortex_core::node::{ModelEntry, ModelStatus};
+use cortex_gateway::state::CortexState;
+use serde_json::{Value, json};
+use std::sync::Arc;
+use std::sync::atomic::{AtomicU64, Ordering};
+use tokio::net::TcpListener;
+
+/// Mock neuron with a hit counter, so a test can prove a request was (or
+/// wasn't) dispatched past the gateway's pre-validation.
+async fn spawn_counting_neuron() -> (String, Arc<AtomicU64>) {
+    let listener = TcpListener::bind("127.0.0.1:0").await.unwrap();
+    let addr = listener.local_addr().unwrap();
+    let base_url = format!("http://{addr}");
+    let inference_url = base_url.clone();
+    let hits = Arc::new(AtomicU64::new(0));
+    let sink = Arc::clone(&hits);
+    let app = axum::Router::new()
+        .route(
+            "/models/{model_id}/endpoint",
+            get(move |Path(_): Path<String>| {
+                let url = inference_url.clone();
+                async move { Json(json!({ "url": url })) }
+            }),
+        )
+        .route(
+            "/v1/chat/completions",
+            post(move || {
+                let sink = Arc::clone(&sink);
+                async move {
+                    sink.fetch_add(1, Ordering::SeqCst);
+                    Json(json!({
+                        "id": "c", "object": "chat.completion", "created": 1_700_000_000_u64,
+                        "model": "test-model",
+                        "choices": [{"index": 0, "message": {"role": "assistant", "content": "ok"}, "finish_reason": "stop"}],
+                        "usage": {"prompt_tokens": 3, "completion_tokens": 1, "total_tokens": 4}
+                    }))
+                }
+            }),
+        );
+    tokio::spawn(async move {
+        axum::serve(listener, app).await.unwrap();
+    });
+    (base_url, hits)
+}
+
+/// Gateway over one neuron with `test-model` loaded and a tiny advertised
+/// context window (so a modest prompt overflows it).
+async fn spawn_gateway(neuron: &str, context: usize) -> String {
+    let config = GatewayConfig {
+        gateway: GatewaySettings {
+            listen: "127.0.0.1:0".into(),
+            metrics_listen: "127.0.0.1:0".into(),
+        },
+        eviction: EvictionSettings {
+            strategy: EvictionStrategy::Lru,
+            defrag_after_cycles: 0,
+        },
+        neurons: vec![NeuronEndpoint {
+            name: "mock-node".into(),
+            endpoint: neuron.to_string(),
+        }],
+        models_config: "/dev/null".into(),
+        entitlements: Default::default(),
+    };
+    let fleet = Arc::new(CortexState::from_config(&config));
+    {
+        let mut nodes = fleet.nodes.write().await;
+        let n = nodes.get_mut("mock-node").unwrap();
+        n.healthy = true;
+        n.models.insert(
+            "test-model".into(),
+            ModelEntry {
+                id: "test-model".into(),
+                status: ModelStatus::Loaded,
+                last_accessed: None,
+                vram_estimate_mb: Some(8000),
+                capabilities: Vec::new(),
+                tool_call: false,
+                reasoning: false,
+                limit: Some(ModelLimit {
+                    context,
+                    input: None,
+                    output: 16,
+                }),
+            },
+        );
+    }
+    let app = cortex_gateway::build_app(Arc::clone(&fleet));
+    let listener = TcpListener::bind("127.0.0.1:0").await.unwrap();
+    let addr = listener.local_addr().unwrap();
+    tokio::spawn(async move {
+        axum::serve(listener, app).await.unwrap();
+    });
+    format!("http://{addr}")
+}
+
+#[tokio::test]
+async fn over_long_prompt_is_rejected_before_dispatch() {
+    let (neuron, hits) = spawn_counting_neuron().await;
+    let gateway = spawn_gateway(&neuron, 50).await; // tiny 50-token window
+
+    // ~1200 chars → ~300 est tokens, well over 50.
+    let big = "word ".repeat(240);
+    let resp = reqwest::Client::new()
+        .post(format!("{gateway}/v1/chat/completions"))
+        .header("user-agent", "litellm/1.0")
+        .json(&json!({"model": "test-model", "messages": [{"role": "user", "content": big}]}))
+        .send()
+        .await
+        .unwrap();
+
+    assert_eq!(resp.status(), reqwest::StatusCode::BAD_REQUEST);
+    // Advisory hint for the fingerprinted client (header only, never body).
+    assert!(
+        resp.headers().get("x-helexa-advice").is_some(),
+        "litellm should get advice"
+    );
+    let body: Value = resp.json().await.unwrap();
+    assert_eq!(body["error"]["code"], "context_length_exceeded");
+    assert_eq!(body["error"]["max"], 50);
+    // Refused at the edge — neuron never saw it.
+    assert_eq!(hits.load(Ordering::SeqCst), 0);
+}
+
+#[tokio::test]
+async fn within_context_passes_through() {
+    let (neuron, hits) = spawn_counting_neuron().await;
+    let gateway = spawn_gateway(&neuron, 4096).await;
+
+    let resp = reqwest::Client::new()
+        .post(format!("{gateway}/v1/chat/completions"))
+        .json(&json!({"model": "test-model", "messages": [{"role": "user", "content": "hi"}]}))
+        .send()
+        .await
+        .unwrap();
+
+    assert_eq!(resp.status(), reqwest::StatusCode::OK);
+    let _ = resp.bytes().await.unwrap();
+    assert_eq!(hits.load(Ordering::SeqCst), 1, "served by neuron");
+}
+
+#[tokio::test]
+async fn unknown_client_gets_no_advice_header() {
+    let (neuron, _hits) = spawn_counting_neuron().await;
+    let gateway = spawn_gateway(&neuron, 50).await;
+
+    let big = "word ".repeat(240);
+    let resp = reqwest::Client::new()
+        .post(format!("{gateway}/v1/chat/completions"))
+        // no/unknown User-Agent → no advice, but still a clean 400
+        .json(&json!({"model": "test-model", "messages": [{"role": "user", "content": big}]}))
+        .send()
+        .await
+        .unwrap();
+
+    assert_eq!(resp.status(), reqwest::StatusCode::BAD_REQUEST);
+    assert!(resp.headers().get("x-helexa-advice").is_none());
+    let body: Value = resp.json().await.unwrap();
+    assert_eq!(body["error"]["code"], "context_length_exceeded");
+}

crates/helexa-router/Cargo.toml

@@ -0,0 +1,33 @@
+[package]
+name = "helexa-router"
+version.workspace = true
+edition.workspace = true
+license.workspace = true
+repository.workspace = true
+
+[[bin]]
+name = "helexa-router"
+path = "src/main.rs"
+
+[lib]
+name = "helexa_router"
+path = "src/lib.rs"
+
+[dependencies]
+cortex-core = { workspace = true }
+
+tokio = { workspace = true }
+axum = { workspace = true }
+tower-http = { workspace = true }
+reqwest = { workspace = true }
+serde = { workspace = true }
+serde_json = { workspace = true }
+figment = { workspace = true }
+anyhow = { workspace = true }
+clap = { workspace = true }
+tracing = { workspace = true }
+tracing-subscriber = { workspace = true }
+
+[dev-dependencies]
+# Jail (isolated cwd + env) for config tests.
+figment = { workspace = true, features = ["test"] }

crates/helexa-router/src/config.rs

@@ -0,0 +1,65 @@
+use figment::{
+    Figment,
+    providers::{Env, Format, Toml},
+};
+use serde::{Deserialize, Serialize};
+use std::path::Path;
+
+/// Top-level `helexa-router` configuration.
+///
+/// Loaded from TOML with `HELEXA_ROUTER_`-prefixed env overrides (using
+/// `__` as the nesting separator), matching the cortex/neuron convention.
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct RouterConfig {
+    pub router: RouterSettings,
+    /// Downstream cortex endpoints the router can dispatch to. The skeleton
+    /// (#70) only loads these; capacity/catalogue polling (#72) and
+    /// capacity-aware dispatch (#73) consume them later.
+    #[serde(default)]
+    pub cortexes: Vec<CortexEndpoint>,
+}
+
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct RouterSettings {
+    /// Address to listen on for the inbound API (e.g. "0.0.0.0:8088").
+    ///
+    /// Plaintext only — operator/edge nginx terminates client TLS in front
+    /// of the router (see #69's TLS posture). The router never owns an
+    /// inbound TLS listener.
+    pub listen: String,
+}
+
+/// One downstream cortex the router may proxy to. The router verifies the
+/// cortex's outbound TLS cert (#74) and routes on capacity (#73); it holds
+/// no entitlement logic of its own and forwards the client bearer verbatim.
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct CortexEndpoint {
+    /// Human-readable label (e.g. "lair-cafe").
+    pub name: String,
+    /// Base URL of the cortex gateway (e.g. "https://cortex.example.com").
+    pub endpoint: String,
+}
+
+impl RouterConfig {
+    /// Load configuration from a TOML file, with environment variable
+    /// overrides prefixed with `HELEXA_ROUTER_` and `__` as the separator
+    /// (e.g. `HELEXA_ROUTER_ROUTER__LISTEN=0.0.0.0:8088`).
+    pub fn load(path: impl AsRef<Path>) -> Result<Self, Box<figment::Error>> {
+        Figment::new()
+            .merge(Toml::file(path))
+            .merge(Env::prefixed("HELEXA_ROUTER_").split("__"))
+            .extract()
+            .map_err(Box::new)
+    }
+}
+
+impl Default for RouterConfig {
+    fn default() -> Self {
+        Self {
+            router: RouterSettings {
+                listen: "0.0.0.0:8088".into(),
+            },
+            cortexes: vec![],
+        }
+    }
+}

crates/helexa-router/src/handlers.rs

@@ -0,0 +1,37 @@
+use crate::state::RouterState;
+use axum::{Json, Router, extract::State, routing::get};
+use cortex_core::openai::ModelsResponse;
+use serde_json::{Value, json};
+use std::sync::Arc;
+
+/// Routes served by the router skeleton. The inference paths
+/// (`/v1/chat/completions`, `/v1/messages`, …) arrive with capacity-aware
+/// dispatch (#73); for now the router only answers `/health` and a stub
+/// `/v1/models`.
+pub fn api_routes() -> Router<Arc<RouterState>> {
+    Router::new()
+        .route("/v1/models", get(list_models))
+        .route("/health", get(health))
+        .route("/", get(health))
+}
+
+/// `GET /health` — liveness plus the configured downstream cortex count.
+/// Real per-cortex reachability lands with the poller (#72).
+async fn health(State(state): State<Arc<RouterState>>) -> Json<Value> {
+    Json(json!({
+        "status": "ok",
+        "cortexes": {
+            "configured": state.cortexes.len(),
+        }
+    }))
+}
+
+/// `GET /v1/models` — empty catalogue stub. The real cross-operator union
+/// (catalogue × topology feasibility, aggregated from each cortex) is the
+/// federation-catalogue issue (#75).
+async fn list_models() -> Json<ModelsResponse> {
+    Json(ModelsResponse {
+        object: "list".into(),
+        data: vec![],
+    })
+}

crates/helexa-router/src/lib.rs

@@ -0,0 +1,49 @@
+//! helexa-router — public multi-operator ingress proxy (router.helexa.ai).
+//!
+//! The router is the data-plane *ingress* tier: a geo-distributed,
+//! capacity-aware, OpenAI/Anthropic-compatible reverse proxy in front of
+//! many operator-run cortexes ("cortex-of-cortexes"). End users configure
+//! one `baseURL` and the router forwards their request to a cortex with
+//! capacity, proxying #63-shaped rejections back verbatim.
+//!
+//! It holds **zero entitlement logic** — auth/budget stays at cortex
+//! (epic #47); the router forwards the client bearer unchanged and routes
+//! on capacity (epic #69). This crate is the binary skeleton (#70):
+//! a plaintext axum server reusing `cortex-core` types, serving `/health`
+//! and a stub `/v1/models`.
+
+pub mod config;
+pub mod handlers;
+pub mod state;
+
+use anyhow::Result;
+use config::RouterConfig;
+use std::sync::Arc;
+use tower_http::cors::CorsLayer;
+use tower_http::trace::TraceLayer;
+
+/// Build the axum application: handlers + CORS + tracing. No auth layer —
+/// the router asserts no identity of its own and forwards the client bearer
+/// to the downstream cortex, which authenticates it (#69).
+pub fn build_app(state: Arc<state::RouterState>) -> axum::Router {
+    axum::Router::new()
+        .merge(handlers::api_routes())
+        .layer(CorsLayer::permissive())
+        .layer(TraceLayer::new_for_http())
+        .with_state(state)
+}
+
+/// Start the router: build state from config and bind the plaintext HTTP
+/// listener. TLS is terminated by edge nginx ahead of this process.
+pub async fn run(config: RouterConfig) -> Result<()> {
+    let state = Arc::new(state::RouterState::from_config(&config));
+    let app = build_app(state);
+
+    let listen_addr = config.router.listen.parse::<std::net::SocketAddr>()?;
+    tracing::info!("helexa-router listening on {listen_addr}");
+
+    let listener = tokio::net::TcpListener::bind(listen_addr).await?;
+    axum::serve(listener, app).await?;
+
+    Ok(())
+}

crates/helexa-router/src/main.rs

@@ -0,0 +1,52 @@
+use anyhow::Result;
+use clap::{Parser, Subcommand};
+use helexa_router::config::RouterConfig;
+use tracing_subscriber::EnvFilter;
+
+#[derive(Parser)]
+#[command(name = "helexa-router")]
+#[command(about = "Public multi-operator ingress proxy for helexa")]
+#[command(version)]
+struct Cli {
+    #[command(subcommand)]
+    command: Commands,
+}
+
+#[derive(Subcommand)]
+enum Commands {
+    /// Start the router server.
+    Serve {
+        /// Path to the router config file.
+        #[arg(short, long, default_value = "helexa-router.toml")]
+        config: String,
+    },
+}
+
+#[tokio::main]
+async fn main() -> Result<()> {
+    tracing_subscriber::fmt()
+        .with_env_filter(
+            EnvFilter::try_from_default_env()
+                .unwrap_or_else(|_| EnvFilter::new("info,helexa_router=debug")),
+        )
+        .init();
+
+    let cli = Cli::parse();
+
+    match cli.command {
+        Commands::Serve { config } => {
+            let cfg = RouterConfig::load(&config)
+                .map_err(|e| anyhow::anyhow!("failed to load config from '{config}': {e}"))?;
+
+            tracing::info!(
+                cortexes = cfg.cortexes.len(),
+                listen = %cfg.router.listen,
+                "starting helexa-router"
+            );
+
+            helexa_router::run(cfg).await?;
+        }
+    }
+
+    Ok(())
+}

crates/helexa-router/src/state.rs

@@ -0,0 +1,21 @@
+use crate::config::{CortexEndpoint, RouterConfig};
+
+/// Shared router state.
+///
+/// The skeleton (#70) holds only the static downstream cortex list from
+/// config. Live multi-operator topology (per-cortex capacity + catalogue)
+/// is added by the poller (#72), at which point this grows an
+/// `Arc<RwLock<...>>` topology map alongside the static endpoints.
+#[derive(Debug)]
+pub struct RouterState {
+    /// Downstream cortex endpoints, as configured.
+    pub cortexes: Vec<CortexEndpoint>,
+}
+
+impl RouterState {
+    pub fn from_config(config: &RouterConfig) -> Self {
+        Self {
+            cortexes: config.cortexes.clone(),
+        }
+    }
+}

crates/helexa-router/tests/skeleton.rs

@@ -0,0 +1,93 @@
+//! Skeleton acceptance tests for #70: the router builds, serves `/health`
+//! and `/v1/models` on a plaintext port, and loads its cortex-endpoint list
+//! from TOML with env overrides.
+
+use helexa_router::config::{CortexEndpoint, RouterConfig};
+use helexa_router::state::RouterState;
+use std::sync::Arc;
+use tokio::net::TcpListener;
+
+/// Bind the router app on an ephemeral port and return its base URL.
+async fn spawn_router(cortexes: Vec<CortexEndpoint>) -> String {
+    let cfg = RouterConfig {
+        cortexes,
+        ..Default::default()
+    };
+    let state = Arc::new(RouterState::from_config(&cfg));
+    let app = helexa_router::build_app(state);
+
+    let listener = TcpListener::bind("127.0.0.1:0").await.unwrap();
+    let addr = listener.local_addr().unwrap();
+    tokio::spawn(async move {
+        axum::serve(listener, app).await.unwrap();
+    });
+
+    format!("http://{addr}")
+}
+
+#[tokio::test]
+async fn health_reports_configured_cortex_count() {
+    let base = spawn_router(vec![
+        CortexEndpoint {
+            name: "a".into(),
+            endpoint: "https://a.example.com".into(),
+        },
+        CortexEndpoint {
+            name: "b".into(),
+            endpoint: "https://b.example.com".into(),
+        },
+    ])
+    .await;
+
+    let body: serde_json::Value = reqwest::get(format!("{base}/health"))
+        .await
+        .unwrap()
+        .json()
+        .await
+        .unwrap();
+
+    assert_eq!(body["status"], "ok");
+    assert_eq!(body["cortexes"]["configured"], 2);
+}
+
+#[tokio::test]
+async fn models_returns_empty_openai_list() {
+    let base = spawn_router(vec![]).await;
+
+    let resp = reqwest::get(format!("{base}/v1/models")).await.unwrap();
+    assert!(resp.status().is_success());
+
+    let body: serde_json::Value = resp.json().await.unwrap();
+    assert_eq!(body["object"], "list");
+    assert_eq!(body["data"].as_array().unwrap().len(), 0);
+}
+
+#[test]
+#[allow(clippy::result_large_err)]
+fn config_loads_from_toml_with_env_override() {
+    figment::Jail::expect_with(|jail| {
+        jail.create_file(
+            "helexa-router.toml",
+            r#"
+[router]
+listen = "127.0.0.1:8088"
+
+[[cortexes]]
+name = "lair-cafe"
+endpoint = "https://cortex.lair.cafe"
+"#,
+        )?;
+
+        // Env override wins over the TOML value.
+        jail.set_env("HELEXA_ROUTER_ROUTER__LISTEN", "0.0.0.0:9099");
+
+        let cfg = RouterConfig::load("helexa-router.toml").expect("load config");
+
+        assert_eq!(cfg.router.listen, "0.0.0.0:9099");
+        assert_eq!(cfg.cortexes.len(), 1);
+        assert_eq!(cfg.cortexes[0].name, "lair-cafe");
+        assert_eq!(cfg.cortexes[0].endpoint, "https://cortex.lair.cafe");
+
+        Ok(())
+    });
+}

crates/neuron/src/api.rs

@@ -13,6 +13,7 @@ use axum::response::sse::{Event, KeepAlive, Sse};
 use axum::response::{IntoResponse, Json};
 use axum::routing::{get, post};
 use cortex_core::discovery::{DiscoveryResponse, HealthResponse};
+use cortex_core::entitlements::{HEADER_ACCOUNT_ID, HEADER_KEY_ID};
 use cortex_core::harness::ModelSpec;
 use cortex_core::openai::{ChatCompletionRequest, MessageContent};
 use cortex_core::responses::{ResponsesRequest, ResponsesUsage};
@@ -71,6 +72,12 @@ async fn health_handler(State(state): State<Arc<NeuronState>>) -> Json<HealthRes
     // know about activation lifecycle.
     let mut snapshot = state.health_cache.snapshot().await;
     snapshot.activation = state.activation.snapshot().await;
+    // Per-model admission load (#53) — read live from the candle harness so
+    // cortex's load-aware router (#55) can spread traffic and propagate
+    // backpressure. Absent when no candle harness is present.
+    if let Some(candle) = &state.candle {
+        snapshot.models = candle.load_snapshot().await;
+    }
     Json(snapshot)
 }
 
@@ -228,6 +235,17 @@ fn default_enable_thinking(req: &mut ChatCompletionRequest, include_thinking: bo
     }
 }
 
+/// The request's principal for fair-share admission (#54), reconstructed
+/// from the internal headers cortex stamps (#49). cortex strips any
+/// client-supplied copy and asserts the authoritative value, so over the
+/// trusted WireGuard link these are safe to key fair-share on. `None` for an
+/// unauthenticated/direct request — exempt from the per-principal cap.
+fn principal_key(headers: &axum::http::HeaderMap) -> Option<String> {
+    let account = headers.get(HEADER_ACCOUNT_ID)?.to_str().ok()?;
+    let key = headers.get(HEADER_KEY_ID)?.to_str().ok()?;
+    Some(format!("{account}/{key}"))
+}
+
 /// OpenAI-compatible chat completions. Dispatches to streaming SSE when
 /// `stream: true` is set on the request; otherwise returns a single
 /// `ChatCompletionResponse`.
@@ -271,8 +289,14 @@ async fn chat_completions(
     // true`) keep reasoning on.
     default_enable_thinking(&mut req, include_thinking);
 
+    // Fair-share admission principal (#54), from cortex's stamped headers.
+    let principal = principal_key(&headers);
+
     if req.stream.unwrap_or(false) {
-        match candle.chat_completion_stream_with(req, chat_config).await {
+        match candle
+            .chat_completion_stream_with(req, chat_config, principal)
+            .await
+        {
             Ok(rx) => {
                 // Each chunk → one SSE `data: {json}` line. After the
                 // channel closes, append the OpenAI [DONE] terminator.
@@ -289,7 +313,7 @@ async fn chat_completions(
             Err(e) => inference_error_response(e),
         }
     } else {
-        match candle.chat_completion(req).await {
+        match candle.chat_completion(req, principal).await {
             Ok(resp) => Json(resp).into_response(),
             Err(e) => inference_error_response(e),
         }
@@ -302,6 +326,7 @@ async fn chat_completions(
 /// event stream into the Responses event family.
 async fn responses(
     State(state): State<Arc<NeuronState>>,
+    headers: axum::http::HeaderMap,
     Json(req): Json<ResponsesRequest>,
 ) -> impl IntoResponse {
     let Some(candle) = state.candle.as_ref().map(Arc::clone) else {
@@ -336,9 +361,12 @@ async fn responses(
     };
     chat_req.stream = Some(stream_requested);
 
+    // Fair-share admission principal (#54), from cortex's stamped headers.
+    let principal = principal_key(&headers);
+
     if stream_requested {
         match candle
-            .responses_stream(chat_req, response_id, message_item_id)
+            .responses_stream(chat_req, response_id, message_item_id, principal)
             .await
         {
             Ok(rx) => {
@@ -362,7 +390,7 @@ async fn responses(
         // and translate the result. We don't currently re-tokenise
         // to compute usage; the harness returns it via the chat
         // response and we pass it through.
-        match candle.chat_completion(chat_req).await {
+        match candle.chat_completion(chat_req, principal).await {
             Ok(chat_resp) => {
                 // Extract the assistant text (chat completions
                 // always emits one choice on the candle path).
@@ -486,8 +514,8 @@ fn inference_error_response(err: InferenceError) -> axum::response::Response {
             "template_render_failed",
             format!("chat template could not render this request: {detail}"),
         ),
-        // Admission control refused (#53): a fast, retryable "busy" signal.
-        // 503 (service busy) + Retry-After; opencode/AI SDK back off.
+        // Admission control refused on load (#53): a fast, retryable "busy"
+        // signal. 503 (service busy) + Retry-After; opencode/AI SDK back off.
         InferenceError::Overloaded { retry_after_secs } => OpenAiError::new(
             503,
             "rate_limit_error",
@@ -495,6 +523,15 @@ fn inference_error_response(err: InferenceError) -> axum::response::Response {
             "model is busy (admission queue full); retry shortly",
         )
         .with_retry_after(retry_after_secs),
+        // Per-principal fair-share cap (#54): 429 rate_limit_exceeded +
+        // Retry-After — the caller is sending too many concurrent requests.
+        InferenceError::PerPrincipalLimit { retry_after_secs } => OpenAiError::new(
+            429,
+            "rate_limit_error",
+            "rate_limit_exceeded",
+            "too many concurrent requests for this key; retry shortly",
+        )
+        .with_retry_after(retry_after_secs),
         InferenceError::Other(e) => OpenAiError::without_code(500, "api_error", format!("{e:#}")),
     };
     envelope_response(env)

crates/neuron/src/config.rs

@@ -113,6 +113,13 @@ pub struct AdmissionConfig {
     /// honest signal).
     #[serde(default = "default_admission_max_wait_secs")]
     pub max_wait_secs: u64,
+    /// Per-principal fair-share cap (#54): max in-flight + queued requests
+    /// for any single principal (resolved from the `x-helexa-*` headers
+    /// cortex stamps), so one client can't monopolize the queue while others
+    /// wait. Over-cap → `429 rate_limit_exceeded` + `Retry-After`. `0`
+    /// disables the cap; anonymous requests are always exempt.
+    #[serde(default = "default_admission_max_per_principal")]
+    pub max_per_principal: usize,
 }
 
 impl Default for AdmissionConfig {
@@ -121,6 +128,7 @@ impl Default for AdmissionConfig {
             max_in_flight: default_admission_max_in_flight(),
             max_queue_depth: default_admission_max_queue_depth(),
             max_wait_secs: default_admission_max_wait_secs(),
+            max_per_principal: default_admission_max_per_principal(),
         }
     }
 }
@@ -137,6 +145,10 @@ fn default_admission_max_wait_secs() -> u64 {
     30
 }
 
+fn default_admission_max_per_principal() -> usize {
+    2
+}
+
 /// `[harness.candle.prefix_cache]` settings.
 #[derive(Debug, Clone, Serialize, Deserialize)]
 pub struct PrefixCacheConfig {

crates/neuron/src/harness/admission.rs

@@ -21,40 +21,56 @@
 //! `/health` can read live load without contending with inference.
 
 use crate::config::AdmissionConfig;
-use std::sync::Arc;
-use std::sync::atomic::{AtomicUsize, Ordering};
+use std::collections::HashMap;
+use std::sync::{Arc, Mutex};
 use std::time::Duration;
 use tokio::sync::{OwnedSemaphorePermit, Semaphore};
 
-/// Why admission was refused. Both map to the #63 backpressure envelope
-/// (`429`/`503` + `rate_limit_exceeded` + `Retry-After`); they differ only
-/// in cause, for logging.
+/// Why admission was refused. All map to the #63 backpressure envelope
+/// (`rate_limit_exceeded` + `Retry-After`); they differ in cause (and HTTP
+/// status — load → `503`, per-principal → `429`).
 #[derive(Debug, Clone, Copy)]
 pub enum AdmissionRejection {
-    /// The bounded wait queue was already full.
+    /// The bounded wait queue was already full (server-side load).
     QueueFull { retry_after_secs: u64 },
     /// A queue slot was taken but the in-flight slot didn't free within
-    /// `max_wait`.
+    /// `max_wait` (server-side load).
     Timeout { retry_after_secs: u64 },
+    /// This principal already has `max_per_principal` requests in flight or
+    /// queued (#54 fair-share) — one principal can't monopolize the model.
+    PrincipalCap { retry_after_secs: u64 },
 }
 
 impl AdmissionRejection {
     pub fn retry_after_secs(&self) -> u64 {
         match self {
             AdmissionRejection::QueueFull { retry_after_secs }
-            | AdmissionRejection::Timeout { retry_after_secs } => *retry_after_secs,
+            | AdmissionRejection::Timeout { retry_after_secs }
+            | AdmissionRejection::PrincipalCap { retry_after_secs } => *retry_after_secs,
         }
     }
 }
 
-/// Bounded batch-1 scheduler for one loaded model.
+/// Admission accounting, mutated under a brief lock (never held across an
+/// await). `pending` is queued + in-flight overall; `per_principal` is the
+/// same count keyed by principal for fair-share (#54).
+#[derive(Default, Debug)]
+struct AdmissionState {
+    pending: usize,
+    per_principal: HashMap<String, usize>,
+}
+
+/// Bounded batch-1 scheduler for one loaded model, with per-principal
+/// fair-share.
 pub struct AdmissionController {
     /// In-flight slots — `max_in_flight` permits (1 for batch-1).
     slots: Arc<Semaphore>,
-    /// Queued + in-flight count, for fast rejection and load reporting.
-    pending: Arc<AtomicUsize>,
-    /// `max_in_flight + max_queue_depth` — the rejection threshold.
+    /// Queued + in-flight accounting (overall + per principal).
+    state: Arc<Mutex<AdmissionState>>,
+    /// `max_in_flight + max_queue_depth` — the overall rejection threshold.
     max_pending: usize,
+    /// Max in-flight + queued for any single principal (#54). `0` disables.
+    max_per_principal: usize,
     max_in_flight: usize,
     max_wait: Duration,
 }
@@ -65,42 +81,69 @@ impl AdmissionController {
         let max_in_flight = cfg.max_in_flight.max(1);
         Self {
             slots: Arc::new(Semaphore::new(max_in_flight)),
-            pending: Arc::new(AtomicUsize::new(0)),
+            state: Arc::new(Mutex::new(AdmissionState::default())),
             max_pending: max_in_flight + cfg.max_queue_depth,
+            max_per_principal: cfg.max_per_principal,
             max_in_flight,
             max_wait: Duration::from_secs(cfg.max_wait_secs),
         }
     }
 
-    /// Admit a request: reserve a queue slot (fast-rejecting if full), then
-    /// wait up to `max_wait` for an in-flight slot. The returned permit must
-    /// be held for the request's lifetime; dropping it frees both slots.
-    pub async fn enter(&self) -> Result<AdmissionPermit, AdmissionRejection> {
-        // Reserve a pending slot up front so concurrent callers can't all
-        // slip past the threshold check. Roll back if we're over capacity.
-        let prev = self.pending.fetch_add(1, Ordering::AcqRel);
-        if prev >= self.max_pending {
-            self.pending.fetch_sub(1, Ordering::AcqRel);
-            return Err(AdmissionRejection::QueueFull {
-                retry_after_secs: self.retry_hint(),
-            });
+    /// Admit a request for `principal` (`None` = anonymous, exempt from the
+    /// per-principal cap). Reserves a queue slot — fast-rejecting if the
+    /// overall queue is full or the principal is over its fair-share cap —
+    /// then waits up to `max_wait` for an in-flight slot. The returned permit
+    /// must be held for the request's lifetime; dropping it frees the slots.
+    pub async fn enter(
+        &self,
+        principal: Option<&str>,
+    ) -> Result<AdmissionPermit, AdmissionRejection> {
+        // Decision + reservation under one brief lock so concurrent callers
+        // can't both slip past the thresholds. No await is held here.
+        {
+            let mut st = self.state.lock().expect("admission state poisoned");
+            if st.pending >= self.max_pending {
+                return Err(AdmissionRejection::QueueFull {
+                    retry_after_secs: self.retry_hint(st.pending),
+                });
+            }
+            if let Some(p) = principal
+                && self.max_per_principal > 0
+                && st.per_principal.get(p).copied().unwrap_or(0) >= self.max_per_principal
+            {
+                return Err(AdmissionRejection::PrincipalCap {
+                    retry_after_secs: self.retry_hint(st.pending),
+                });
+            }
+            st.pending += 1;
+            if let Some(p) = principal {
+                *st.per_principal.entry(p.to_string()).or_insert(0) += 1;
+            }
         }
 
         match tokio::time::timeout(self.max_wait, Arc::clone(&self.slots).acquire_owned()).await {
             Ok(Ok(permit)) => Ok(AdmissionPermit {
                 _permit: permit,
-                pending: Arc::clone(&self.pending),
+                state: Arc::clone(&self.state),
+                principal: principal.map(str::to_string),
             }),
             // Semaphore is never closed; treat a closed/elapsed wait the same.
             Ok(Err(_)) | Err(_) => {
-                self.pending.fetch_sub(1, Ordering::AcqRel);
+                self.release(principal);
                 Err(AdmissionRejection::Timeout {
-                    retry_after_secs: self.retry_hint(),
+                    retry_after_secs: self.retry_hint(self.max_pending),
                 })
             }
         }
     }
 
+    /// Roll back a reserved-but-not-admitted slot (wait timed out).
+    fn release(&self, principal: Option<&str>) {
+        let mut st = self.state.lock().expect("admission state poisoned");
+        st.pending = st.pending.saturating_sub(1);
+        decrement_principal(&mut st.per_principal, principal);
+    }
+
     /// Requests currently running (holding an in-flight slot).
     pub fn in_flight(&self) -> usize {
         self.max_in_flight
@@ -109,29 +152,45 @@ impl AdmissionController {
 
     /// Requests waiting for an in-flight slot.
     pub fn queue_depth(&self) -> usize {
-        self.pending
-            .load(Ordering::Acquire)
-            .saturating_sub(self.in_flight())
+        let pending = self.state.lock().expect("admission state poisoned").pending;
+        pending.saturating_sub(self.in_flight())
     }
 
     /// Rough `Retry-After`: scale with how backed-up the model is, clamped to
     /// a sane band. Without per-request timing this is a heuristic, but it
     /// gives well-behaved clients (opencode/AI SDK) a sensible backoff.
-    fn retry_hint(&self) -> u64 {
-        ((self.queue_depth() as u64 + 1) * 2).clamp(1, 120)
+    fn retry_hint(&self, pending: usize) -> u64 {
+        let queued = pending.saturating_sub(self.max_in_flight) as u64;
+        ((queued + 1) * 2).clamp(1, 120)
     }
 }
 
-/// Held for a request's lifetime; frees the in-flight + queue slot on drop.
+/// Decrement (and prune at zero) a principal's outstanding count.
+fn decrement_principal(map: &mut HashMap<String, usize>, principal: Option<&str>) {
+    if let Some(p) = principal
+        && let Some(count) = map.get_mut(p)
+    {
+        *count -= 1;
+        if *count == 0 {
+            map.remove(p);
+        }
+    }
+}
+
+/// Held for a request's lifetime; frees the in-flight + queue slot (and the
+/// principal's fair-share slot) on drop.
 #[derive(Debug)]
 pub struct AdmissionPermit {
     _permit: OwnedSemaphorePermit,
-    pending: Arc<AtomicUsize>,
+    state: Arc<Mutex<AdmissionState>>,
+    principal: Option<String>,
 }
 
 impl Drop for AdmissionPermit {
     fn drop(&mut self) {
-        self.pending.fetch_sub(1, Ordering::AcqRel);
+        let mut st = self.state.lock().expect("admission state poisoned");
+        st.pending = st.pending.saturating_sub(1);
+        decrement_principal(&mut st.per_principal, self.principal.as_deref());
     }
 }
 
@@ -139,11 +198,14 @@ impl Drop for AdmissionPermit {
 mod tests {
     use super::*;
 
+    /// Config with the per-principal cap disabled (0) — most tests exercise
+    /// the overall queue with anonymous (`None`) callers.
     fn cfg(max_in_flight: usize, max_queue_depth: usize, max_wait_secs: u64) -> AdmissionConfig {
         AdmissionConfig {
             max_in_flight,
             max_queue_depth,
             max_wait_secs,
+            max_per_principal: 0,
         }
     }
 
@@ -151,7 +213,7 @@ mod tests {
     async fn admits_up_to_in_flight_and_reports_load() {
         let ctrl = AdmissionController::new(&cfg(1, 4, 30));
         assert_eq!(ctrl.in_flight(), 0);
-        let p = ctrl.enter().await.expect("first admits");
+        let p = ctrl.enter(None).await.expect("first admits");
         assert_eq!(ctrl.in_flight(), 1);
         assert_eq!(ctrl.queue_depth(), 0);
         drop(p);
@@ -162,17 +224,17 @@ mod tests {
     async fn rejects_when_queue_full() {
         // 1 in-flight + 1 queue slot = capacity 2; the 3rd is refused fast.
         let ctrl = Arc::new(AdmissionController::new(&cfg(1, 1, 30)));
-        let _running = ctrl.enter().await.expect("admit running");
+        let _running = ctrl.enter(None).await.expect("admit running");
 
         // Fill the single queue slot with a waiter that parks on the semaphore.
         let ctrl2 = Arc::clone(&ctrl);
-        let waiter = tokio::spawn(async move { ctrl2.enter().await.map(|p| drop(p)) });
+        let waiter = tokio::spawn(async move { ctrl2.enter(None).await.map(|p| drop(p)) });
         // Give the waiter a moment to occupy the queue slot.
         tokio::time::sleep(Duration::from_millis(50)).await;
         assert_eq!(ctrl.queue_depth(), 1);
 
         // Queue full → immediate QueueFull with a Retry-After hint.
-        match ctrl.enter().await {
+        match ctrl.enter(None).await {
             Err(AdmissionRejection::QueueFull { retry_after_secs }) => {
                 assert!(retry_after_secs >= 1)
             }
@@ -190,13 +252,47 @@ mod tests {
         // request can't even queue, so it's QueueFull, not Timeout. Use a
         // queue of 1 and a tiny max_wait to exercise the timeout path.
         let ctrl = Arc::new(AdmissionController::new(&cfg(1, 1, 0)));
-        let _running = ctrl.enter().await.expect("admit running");
+        let _running = ctrl.enter(None).await.expect("admit running");
         // max_wait 0 → the queued request times out almost immediately.
-        match ctrl.enter().await {
+        match ctrl.enter(None).await {
             Err(AdmissionRejection::Timeout { .. }) => {}
             other => panic!("expected Timeout, got {other:?}"),
         }
         // The timed-out request released its queue slot.
         assert_eq!(ctrl.queue_depth(), 0);
     }
+
+    #[tokio::test]
+    async fn per_principal_cap_protects_other_principals() {
+        // Generous overall queue, but each principal capped at 1 in-flight+
+        // queued. Principal A holds the running slot; A's second request is
+        // refused (PrincipalCap) rather than occupying the queue, so B's
+        // single request still gets a queue slot and proceeds.
+        let cfg = AdmissionConfig {
+            max_in_flight: 1,
+            max_queue_depth: 8,
+            max_wait_secs: 30,
+            max_per_principal: 1,
+        };
+        let ctrl = Arc::new(AdmissionController::new(&cfg));
+
+        let _a1 = ctrl.enter(Some("acct-a/key-a")).await.expect("A admits");
+
+        // A is over its fair-share cap → fast PrincipalCap, no queue slot taken.
+        match ctrl.enter(Some("acct-a/key-a")).await {
+            Err(AdmissionRejection::PrincipalCap { retry_after_secs }) => {
+                assert!(retry_after_secs >= 1)
+            }
+            other => panic!("expected PrincipalCap, got {other:?}"),
+        }
+
+        // B (a different principal) is admitted to the queue and proceeds
+        // once A releases — it was never stuck behind A's backlog.
+        let ctrl2 = Arc::clone(&ctrl);
+        let b = tokio::spawn(async move { ctrl2.enter(Some("acct-b/key-b")).await.map(drop) });
+        tokio::time::sleep(Duration::from_millis(50)).await;
+        assert_eq!(ctrl.queue_depth(), 1, "B is queued, not rejected");
+        drop(_a1);
+        b.await.unwrap().expect("B is served after A releases");
+    }
 }

crates/neuron/src/harness/candle.rs

@@ -33,7 +33,7 @@ use crate::wire::{
 use std::collections::HashMap;
 use std::path::PathBuf;
 use std::sync::Arc;
-use std::sync::atomic::{AtomicBool, AtomicUsize, Ordering};
+use std::sync::atomic::{AtomicBool, AtomicU64, AtomicUsize, Ordering};
 #[cfg(feature = "cuda")]
 use std::time::Duration;
 use std::time::{SystemTime, UNIX_EPOCH};
@@ -149,6 +149,16 @@ impl LoadedHandle {
         }
     }
 
+    /// Current admission load (#53): `(in_flight, queue_depth)`. Lock-free,
+    /// so `/health` can read it without contending with inference.
+    pub fn load(&self) -> (usize, usize) {
+        match self {
+            LoadedHandle::Single(m) => (m.admission.in_flight(), m.admission.queue_depth()),
+            #[cfg(feature = "cuda")]
+            LoadedHandle::Tp(m) => (m.admission.in_flight(), m.admission.queue_depth()),
+        }
+    }
+
     /// Modalities the loaded model supports. Stage B7 (single-GPU) +
     /// TP-vision (#12) — both single-GPU and TP loads advertise
     /// `"vision"` when a replicated vision tower materialised.
@@ -195,23 +205,50 @@ impl LoadedHandle {
     /// `NEURON_MAX_PROMPT_TOKENS`, when explicitly set, is applied as a
     /// clamp-only upper bound on the derived `context` — a backstop, not
     /// the authority. Unset → no clamp; the derivation stands alone.
-    pub async fn derived_limit(
+    /// Refresh the cached free-VRAM reading used by [`Self::derived_limit`]
+    /// (#53). Queries the device worker — so it MUST run off the request
+    /// path (background refresher / load-time seed), never from a control
+    /// endpoint, since the query queues behind inference on the worker.
+    /// Single-GPU caches the device's free VRAM; TP caches the tightest
+    /// free across ranks (the same value `derived_limit` used pre-cache).
+    pub async fn refresh_free_mb(&self) {
+        let free = match self {
+            LoadedHandle::Single(m) => m.query_vram().await.0,
+            #[cfg(feature = "cuda")]
+            LoadedHandle::Tp(m) => m.query_vram_tightest_free_mb().await,
+        };
+        // Don't clobber a good cached value with a transient `0`
+        // (worker gone/poisoned sentinel).
+        if free > 0 {
+            match self {
+                LoadedHandle::Single(m) => m.last_free_mb.store(free, Ordering::Release),
+                #[cfg(feature = "cuda")]
+                LoadedHandle::Tp(m) => m.last_free_mb.store(free, Ordering::Release),
+            }
+        }
+    }
+
+    pub fn derived_limit(
         &self,
         cfg: &crate::config::ContextLimitConfig,
     ) -> Option<cortex_core::harness::ModelLimit> {
         if !cfg.enabled {
             return None;
         }
+        // Read the *cached* free VRAM — never query the device worker here.
+        // This runs on `GET /models`; a live query would queue behind
+        // inference on the worker thread and stall the control plane (#53).
+        // The cache is refreshed off the request path (load + background task).
         let (profile, free_mb, rate) = match self {
             LoadedHandle::Single(m) => (
                 m.context_profile?,
-                m.query_vram().await.0,
+                m.last_free_mb.load(Ordering::Acquire),
                 m.prefill_rate.get(),
             ),
             #[cfg(feature = "cuda")]
             LoadedHandle::Tp(m) => (
                 m.context_profile?,
-                m.query_vram_tightest_free_mb().await,
+                m.last_free_mb.load(Ordering::Acquire),
                 m.prefill_rate.get(),
             ),
         };
@@ -381,6 +418,13 @@ pub struct LoadedModel {
     /// request-path enforcement reads this — `0` means "not derived yet"
     /// → fall back to the static `NEURON_MAX_PROMPT_TOKENS`.
     pub derived_input_cap: AtomicUsize,
+    /// Cached free VRAM (MiB) for the control plane (#53). `derived_limit`
+    /// (served by `GET /models`) reads this instead of querying the device
+    /// worker, which during inference is saturated processing forward jobs —
+    /// a live query would queue behind them and stall `/models`, tripping
+    /// cortex's health poller into marking the node unhealthy. Refreshed off
+    /// the request path: seeded at load, then by a background task.
+    pub last_free_mb: AtomicU64,
 }
 
 impl LoadedModel {
@@ -493,6 +537,10 @@ pub struct TpLoadedModel {
     /// Mint for pool-wide snapshot ids. Plain counter; uniqueness only
     /// needs to hold per model lifetime (snapshots die with the model).
     pub next_snapshot_id: std::sync::atomic::AtomicU64,
+    /// Cached tightest free VRAM (MiB) for the control plane (#53) — see
+    /// [`LoadedModel::last_free_mb`]. Read by `derived_limit` so `GET /models`
+    /// never fans a VRAM query out to the (inference-saturated) TP workers.
+    pub last_free_mb: AtomicU64,
 }
 
 #[cfg(feature = "cuda")]
@@ -1099,6 +1147,32 @@ fn debug_poison_armed(model_id: &str) -> bool {
     armed && !FIRED.swap(true, Ordering::Relaxed)
 }
 
+/// Background control-plane VRAM cache refresher (#53). Every few seconds,
+/// refreshes each loaded model's `last_free_mb` so `derived_limit` (served
+/// by `GET /models`) reads a cached value and never queries the device
+/// worker on the request path — a live query would queue behind inference
+/// forward jobs on the worker thread, stalling `/models` for seconds and
+/// tripping cortex's health poller into evicting the node from routing.
+/// Holds a `Weak` so a shutting-down harness lets the task exit. The query
+/// itself may queue behind inference, but that only delays this background
+/// refresh — no request-path caller is ever blocked.
+async fn vram_cache_refresh_loop(weak: std::sync::Weak<CandleHarness>) {
+    const REFRESH_INTERVAL: std::time::Duration = std::time::Duration::from_secs(5);
+    loop {
+        tokio::time::sleep(REFRESH_INTERVAL).await;
+        let Some(this) = weak.upgrade() else {
+            return; // harness dropped — exit
+        };
+        // Snapshot handles, then release the read lock before awaiting the
+        // (possibly slow) worker queries so we never hold it across an await.
+        let handles: Vec<LoadedHandle> = this.models.read().await.values().cloned().collect();
+        drop(this);
+        for handle in handles {
+            handle.refresh_free_mb().await;
+        }
+    }
+}
+
 /// 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,
@@ -1272,25 +1346,67 @@ fn validate_vision_prefill(prompt_len: usize, vram_free_mb: u64) -> Result<(), I
 /// the caller as `max`), or if free VRAM is below the floor. Enforcing
 /// the *derived* cap means a VRAM-tight host rejects a prompt that
 /// wouldn't fit, instead of accepting it and OOMing mid-prefill.
+///
+/// The third VRAM check — the length-aware backstop (#65) — closes the
+/// poll-vs-request snapshot gap #67 leaves open. `max` is
+/// `effective_prompt_cap()`, the input budget derived at **/models poll
+/// time** from the tightest card's free VRAM *then*. If free VRAM has
+/// since dropped (a co-resident model loaded, a concurrent prefill grew
+/// its KV), a prompt at-or-below that now-stale cap still clears the
+/// static floor yet no longer fits — and OOMs mid-prefill, poisoning the
+/// device context (the 2026-05-26 beast incident the #47 work exists to
+/// eliminate). So we re-run the same length×KV-vs-VRAM physics #67 uses
+/// for the cap, but against **request-time** free VRAM, reusing the
+/// model's [`ContextProfile`] rather than re-deriving the KV cost. This
+/// gives the text path the live-VRAM guard the vision path already has
+/// (`validate_vision_prefill`). `profile`/`kv_bytes_per_token_per_card`
+/// are per-card and `vram_free_mb` is the tightest card's free VRAM, so
+/// the two are commensurable on both single-GPU and TP loads.
 fn validate_request(
     prompt_len: usize,
     vram_free_mb: u64,
     max: usize,
+    profile: Option<&super::context_limit::ContextProfile>,
+    cfg: &crate::config::ContextLimitConfig,
 ) -> Result<(), InferenceError> {
     if prompt_len > max {
         return Err(InferenceError::PromptTooLong { prompt_len, max });
     }
-    // VRAM check is skipped on CPU loads (vram_free_mb == 0 sentinel)
+    // VRAM checks are skipped on CPU loads (vram_free_mb == 0 sentinel)
     // because the (0, 0) reply from `query_vram` is also what a missing
     // worker returns. The CPU path has no per-GPU memory limit anyway —
     // host RAM is bounded by the OOM killer, not this check.
+    if vram_free_mb == 0 {
+        return Ok(());
+    }
     let min = min_free_vram_mb();
-    if vram_free_mb != 0 && vram_free_mb < min {
+    if vram_free_mb < min {
         return Err(InferenceError::InsufficientVram {
             free_mb: vram_free_mb,
             required_mb: min,
         });
     }
+    // Length-aware backstop (#65): KV the whole sequence (prompt +
+    // generation reserve) will occupy, plus the prefill activation
+    // headroom, plus the static floor as an additive cushion — all per
+    // card. A degenerate zero-KV profile (no full-attention layers) or a
+    // model with no captured profile skips this and rides the floor
+    // check above, mirroring `derive_limit`'s VRAM-ceiling fallback.
+    if let Some(profile) = profile
+        && profile.kv_bytes_per_token_per_card > 0
+    {
+        let tokens = (prompt_len as u64).saturating_add(cfg.output_reserve_tokens as u64);
+        let kv_mb = profile.kv_bytes_per_token_per_card.saturating_mul(tokens) / (1024 * 1024);
+        let required_mb = kv_mb
+            .saturating_add(cfg.activation_headroom_mb)
+            .saturating_add(min);
+        if required_mb > vram_free_mb {
+            return Err(InferenceError::InsufficientVram {
+                free_mb: vram_free_mb,
+                required_mb,
+            });
+        }
+    }
     Ok(())
 }
 
@@ -1585,6 +1701,11 @@ impl CandleHarness {
         if tokio::runtime::Handle::try_current().is_ok() {
             let weak = Arc::downgrade(&this);
             tokio::spawn(recovery_loop(weak, recovery_rx));
+            // Control-plane VRAM cache refresher (#53): keeps each loaded
+            // model's `last_free_mb` current off the request path, so
+            // `derived_limit` / `GET /models` never query the device worker
+            // (which is saturated during inference) and never stall.
+            tokio::spawn(vram_cache_refresh_loop(Arc::downgrade(&this)));
         }
         this
     }
@@ -2018,6 +2139,7 @@ impl CandleHarness {
     pub async fn chat_completion(
         &self,
         request: ChatCompletionRequest,
+        principal: Option<String>,
     ) -> Result<ChatCompletionResponse, InferenceError> {
         let handle = {
             let models = self.models.read().await;
@@ -2042,7 +2164,7 @@ impl CandleHarness {
             LoadedHandle::Single(m) => m,
             #[cfg(feature = "cuda")]
             LoadedHandle::Tp(m) => {
-                return self.chat_completion_tp(m, request).await;
+                return self.chat_completion_tp(m, request, principal).await;
             }
         };
 
@@ -2076,7 +2198,7 @@ impl CandleHarness {
         // The permit is held for the whole request (released on drop).
         let _admit = loaded
             .admission
-            .enter()
+            .enter(principal.as_deref())
             .await
             .map_err(InferenceError::from)?;
 
@@ -2170,7 +2292,13 @@ impl CandleHarness {
                 "chat_completion: starting"
             );
 
-            validate_request(prompt_len, vram_free_mb, loaded.effective_prompt_cap())?;
+            validate_request(
+                prompt_len,
+                vram_free_mb,
+                loaded.effective_prompt_cap(),
+                loaded.context_profile.as_ref(),
+                &self.context_limit_cfg,
+            )?;
             if vision_route.is_some() {
                 validate_vision_prefill(prompt_len, vram_free_mb)?;
             }
@@ -2399,9 +2527,14 @@ impl CandleHarness {
     pub async fn chat_completion_stream(
         &self,
         request: ChatCompletionRequest,
+        principal: Option<String>,
     ) -> Result<mpsc::Receiver<ChatCompletionChunk>, InferenceError> {
-        self.chat_completion_stream_with(request, wire_chat::ChatProjectionConfig::default())
-            .await
+        self.chat_completion_stream_with(
+            request,
+            wire_chat::ChatProjectionConfig::default(),
+            principal,
+        )
+        .await
     }
 
     /// Same as [`Self::chat_completion_stream`] but lets the caller
@@ -2412,8 +2545,9 @@ impl CandleHarness {
         &self,
         request: ChatCompletionRequest,
         mut config: wire_chat::ChatProjectionConfig,
+        principal: Option<String>,
     ) -> Result<mpsc::Receiver<ChatCompletionChunk>, InferenceError> {
-        let stream = self.inference_stream(request).await?;
+        let stream = self.inference_stream(request, principal).await?;
         // Fill in the model's reasoning markers if the caller
         // didn't pre-populate them — they're a property of the
         // loaded model (which the HTTP handler doesn't reach into
@@ -2440,9 +2574,10 @@ impl CandleHarness {
         request: ChatCompletionRequest,
         response_id: String,
         message_item_id: String,
+        principal: Option<String>,
     ) -> Result<mpsc::Receiver<crate::wire::openai_responses::ResponseStreamFrame>, InferenceError>
     {
-        let stream = self.inference_stream(request).await?;
+        let stream = self.inference_stream(request, principal).await?;
         let meta = crate::wire::openai_responses::ResponseMeta {
             response_id,
             created_at: stream.created,
@@ -2463,6 +2598,7 @@ impl CandleHarness {
     async fn inference_stream(
         &self,
         request: ChatCompletionRequest,
+        principal: Option<String>,
     ) -> Result<InferenceStream, InferenceError> {
         let handle = {
             let models = self.models.read().await;
@@ -2487,7 +2623,7 @@ impl CandleHarness {
             LoadedHandle::Single(m) => m,
             #[cfg(feature = "cuda")]
             LoadedHandle::Tp(m) => {
-                return self.inference_tp_stream(m, request).await;
+                return self.inference_tp_stream(m, request, principal).await;
             }
         };
 
@@ -2616,7 +2752,13 @@ impl CandleHarness {
             );
         }
 
-        validate_request(prompt_len, vram_free_mb, loaded.effective_prompt_cap())?;
+        validate_request(
+            prompt_len,
+            vram_free_mb,
+            loaded.effective_prompt_cap(),
+            loaded.context_profile.as_ref(),
+            &self.context_limit_cfg,
+        )?;
         if vision_route.is_some() {
             validate_vision_prefill(prompt_len, vram_free_mb)?;
         }
@@ -2636,7 +2778,7 @@ impl CandleHarness {
         // into the inference task and is held until it completes.
         let admit = loaded
             .admission
-            .enter()
+            .enter(principal.as_deref())
             .await
             .map_err(InferenceError::from)?;
 
@@ -2811,6 +2953,24 @@ pub struct InferenceStream {
 /// Auto-recovery (#17) — rebuild a poisoned model's device context
 /// automatically instead of leaving it bricked until a human reloads.
 impl CandleHarness {
+    /// Per-model admission load for `GET /health` (#53): in-flight + queued
+    /// counts for every resident model. Lock-free per-model reads, so this
+    /// only briefly holds the registry read lock to enumerate handles.
+    pub async fn load_snapshot(&self) -> Vec<cortex_core::discovery::ModelLoad> {
+        let models = self.models.read().await;
+        models
+            .values()
+            .map(|handle| {
+                let (in_flight, queue_depth) = handle.load();
+                cortex_core::discovery::ModelLoad {
+                    id: handle.model_id().to_string(),
+                    in_flight,
+                    queue_depth,
+                }
+            })
+            .collect()
+    }
+
     /// 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 {
@@ -2922,7 +3082,7 @@ impl Harness for CandleHarness {
             // physics + live free VRAM + measured prefill rate. `None`
             // for arches without a context profile. `cost` stays
             // operator-set in the catalogue, filled by the gateway.
-            let limit = h.derived_limit(&self.context_limit_cfg).await;
+            let limit = h.derived_limit(&self.context_limit_cfg);
             out.push(ModelInfo {
                 id: h.model_id().into(),
                 harness: "candle".into(),
@@ -3172,6 +3332,7 @@ impl Harness for CandleHarness {
             context_profile,
             prefill_rate: super::context_limit::PrefillRateEma::new(),
             derived_input_cap: AtomicUsize::new(0),
+            last_free_mb: AtomicU64::new(0),
         });
         if loaded.prefix_cache.is_some() {
             tracing::info!(
@@ -3182,6 +3343,14 @@ impl Harness for CandleHarness {
             );
         }
 
+        // Seed the control-plane VRAM cache (#53) while the worker is idle
+        // (load just finished), so `/models` has a value before the
+        // background refresher's first tick and never queries the worker.
+        let (free_mb, _) = loaded.query_vram().await;
+        if free_mb > 0 {
+            loaded.last_free_mb.store(free_mb, Ordering::Release);
+        }
+
         let mut models = self.models.write().await;
         models.insert(spec.model_id.clone(), LoadedHandle::Single(loaded));
         tracing::info!(model = %spec.model_id, "model loaded");
@@ -3432,6 +3601,7 @@ impl CandleHarness {
             ),
             prefill_rate: super::context_limit::PrefillRateEma::new(),
             derived_input_cap: AtomicUsize::new(0),
+            last_free_mb: AtomicU64::new(0),
             next_snapshot_id: std::sync::atomic::AtomicU64::new(1),
         });
         if tp_loaded.prefix_cache.is_some() {
@@ -3443,6 +3613,14 @@ impl CandleHarness {
             );
         }
 
+        // Seed the control-plane VRAM cache (#53) — tightest free across
+        // ranks, while the workers are idle post-load — so `/models` never
+        // fans a query out to the inference-busy TP workers.
+        let free_mb = tp_loaded.query_vram_tightest_free_mb().await;
+        if free_mb > 0 {
+            tp_loaded.last_free_mb.store(free_mb, Ordering::Release);
+        }
+
         let mut models = self.models.write().await;
         models.insert(spec.model_id.clone(), LoadedHandle::Tp(tp_loaded));
         tracing::info!(
@@ -3472,6 +3650,7 @@ impl CandleHarness {
         &self,
         tp: Arc<TpLoadedModel>,
         request: ChatCompletionRequest,
+        principal: Option<String>,
     ) -> Result<ChatCompletionResponse, InferenceError> {
         // Tag every line of this request with a short req_id so a
         // grep over journalctl reconstructs one request even when
@@ -3508,7 +3687,11 @@ impl CandleHarness {
         }
 
         let tp_for_marker = Arc::clone(&tp);
-        let handle = tokio::spawn(chat_completion_tp_inner(tp, request).instrument(span.clone()));
+        let context_limit_cfg = self.context_limit_cfg.clone();
+        let handle = tokio::spawn(
+            chat_completion_tp_inner(tp, request, principal, context_limit_cfg)
+                .instrument(span.clone()),
+        );
         match handle.await {
             Ok(Ok(resp)) => Ok(resp),
             Ok(Err(e)) => {
@@ -3579,6 +3762,7 @@ impl CandleHarness {
         &self,
         tp: Arc<TpLoadedModel>,
         request: ChatCompletionRequest,
+        principal: Option<String>,
     ) -> Result<InferenceStream, InferenceError> {
         if tp.poisoned.load(Ordering::Acquire) {
             return Err(self.trigger_recovery(&request.model).await);
@@ -3719,14 +3903,24 @@ impl CandleHarness {
             "TP chat_completion (stream): starting"
         );
 
-        validate_request(prompt_len, vram_free_mb, tp.effective_prompt_cap())?;
+        validate_request(
+            prompt_len,
+            vram_free_mb,
+            tp.effective_prompt_cap(),
+            tp.context_profile.as_ref(),
+            &self.context_limit_cfg,
+        )?;
         if vision_route.is_some() {
             validate_vision_prefill(prompt_len, vram_free_mb)?;
         }
 
         // Admission control (#53): refuse before opening the stream; the
         // permit moves into the orchestration task and is held for its life.
-        let admit = tp.admission.enter().await.map_err(InferenceError::from)?;
+        let admit = tp
+            .admission
+            .enter(principal.as_deref())
+            .await
+            .map_err(InferenceError::from)?;
 
         let tool_schemas = build_tool_schemas(&request);
         let tp_for_task = Arc::clone(&tp);
@@ -4235,6 +4429,8 @@ impl CandleHarness {
 async fn chat_completion_tp_inner(
     tp: Arc<TpLoadedModel>,
     request: ChatCompletionRequest,
+    principal: Option<String>,
+    context_limit_cfg: crate::config::ContextLimitConfig,
 ) -> Result<ChatCompletionResponse, InferenceError> {
     let req_start = std::time::Instant::now();
     let model_id = request.model.clone();
@@ -4318,14 +4514,24 @@ async fn chat_completion_tp_inner(
         "TP chat_completion: starting"
     );
 
-    validate_request(prompt_len, vram_free_mb, tp.effective_prompt_cap())?;
+    validate_request(
+        prompt_len,
+        vram_free_mb,
+        tp.effective_prompt_cap(),
+        tp.context_profile.as_ref(),
+        &context_limit_cfg,
+    )?;
     if vision_route.is_some() {
         validate_vision_prefill(prompt_len, vram_free_mb)?;
     }
 
     // Admission control (#53): bounded queue + fast reject before joining
     // the pool-lock wait. Held for the whole request (released on drop).
-    let _admit = tp.admission.enter().await.map_err(InferenceError::from)?;
+    let _admit = tp
+        .admission
+        .enter(principal.as_deref())
+        .await
+        .map_err(InferenceError::from)?;
 
     // Acquire the pool lock for the duration of the request. After
     // Phase 3 the leader's TpLeaderModel lives in the device worker
@@ -4869,19 +5075,31 @@ pub enum InferenceError {
     /// failure mode that hid several client-compat bugs. Maps to 422.
     #[error("chat template could not render this request: {detail}")]
     TemplateRenderFailed { detail: String },
-    /// Admission control (#53) refused the request: the model's bounded
-    /// queue is full or the wait elapsed. Maps to `429 rate_limit_exceeded`
-    /// + `Retry-After` — a fast, retryable "busy" signal, not a stall.
+    /// Admission control (#53) refused on load: the model's bounded queue is
+    /// full or the wait elapsed. Maps to `503 rate_limit_exceeded` +
+    /// `Retry-After` — a fast, retryable "busy" signal, not a stall.
     #[error("model is busy; retry after {retry_after_secs}s")]
     Overloaded { retry_after_secs: u64 },
+    /// Per-principal fair-share cap (#54) exceeded: this principal already
+    /// has its max requests in flight/queued. Maps to `429
+    /// rate_limit_exceeded` + `Retry-After`; a well-behaved client self-paces.
+    #[error("per-principal in-flight limit reached; retry after {retry_after_secs}s")]
+    PerPrincipalLimit { retry_after_secs: u64 },
     #[error(transparent)]
     Other(#[from] anyhow::Error),
 }
 
 impl From<super::admission::AdmissionRejection> for InferenceError {
     fn from(rejection: super::admission::AdmissionRejection) -> Self {
-        InferenceError::Overloaded {
-            retry_after_secs: rejection.retry_after_secs(),
+        use super::admission::AdmissionRejection;
+        match rejection {
+            AdmissionRejection::QueueFull { retry_after_secs }
+            | AdmissionRejection::Timeout { retry_after_secs } => {
+                InferenceError::Overloaded { retry_after_secs }
+            }
+            AdmissionRejection::PrincipalCap { retry_after_secs } => {
+                InferenceError::PerPrincipalLimit { retry_after_secs }
+            }
         }
     }
 }
@@ -6619,6 +6837,110 @@ mod tests {
         assert!(validate_vision_prefill(12_960, 12_445).is_ok());
     }
 
+    // ── #65: request-time length-aware VRAM backstop (text prefill) ──
+
+    /// A beast-like profile: 16 full-attn layers, 4 kv heads, head_dim
+    /// 256, f16, TP=2 → 32 KiB/token/card (same numbers as the
+    /// `context_limit` unit tests). At defaults this makes the
+    /// length-aware footprint `(prompt_len + 8192)/32 + 2048 + 1500` MiB
+    /// per card.
+    fn backstop_profile() -> super::super::context_limit::ContextProfile {
+        super::super::context_limit::ContextProfile {
+            max_position_embeddings: 262_144,
+            kv_bytes_per_token_per_card: super::super::context_limit::kv_bytes_per_token(
+                16, 4, 256, 2, 2,
+            ),
+            world_size: 2,
+        }
+    }
+
+    /// A prompt under the cap with ample free VRAM passes; the same
+    /// prompt over the cap is `PromptTooLong` before any VRAM math.
+    #[test]
+    fn validate_request_cap_and_fit() {
+        let cfg = crate::config::ContextLimitConfig::default();
+        let profile = backstop_profile();
+        // Under cap, 40 GB free → fits.
+        assert!(validate_request(8_000, 40_000, 100_000, Some(&profile), &cfg).is_ok());
+        // Over the cap → PromptTooLong, independent of VRAM.
+        assert!(matches!(
+            validate_request(100_001, 40_000, 100_000, Some(&profile), &cfg),
+            Err(InferenceError::PromptTooLong { .. })
+        ));
+    }
+
+    /// The CPU sentinel (`vram_free_mb == 0`) skips every VRAM check,
+    /// including the new length-aware one — host RAM is the OOM killer's
+    /// problem, not this guard's.
+    #[test]
+    fn validate_request_cpu_sentinel_skips_vram() {
+        let cfg = crate::config::ContextLimitConfig::default();
+        let profile = backstop_profile();
+        assert!(validate_request(1_000_000, 0, 2_000_000, Some(&profile), &cfg).is_ok());
+    }
+
+    /// The static floor remains a backstop: free VRAM below
+    /// `min_free_vram_mb()` is rejected before the length-aware estimate
+    /// even runs (so `required_mb` is the floor, not the KV footprint).
+    #[test]
+    fn validate_request_static_floor_still_binds() {
+        let cfg = crate::config::ContextLimitConfig::default();
+        let profile = backstop_profile();
+        assert!(matches!(
+            validate_request(10, 800, 100_000, Some(&profile), &cfg),
+            Err(InferenceError::InsufficientVram {
+                free_mb: 800,
+                required_mb: 1500
+            })
+        ));
+    }
+
+    /// A model with no captured profile (non-qwen3_5 arch) has no
+    /// length-aware physics to apply, so it rides only the static floor —
+    /// a fitting prompt with VRAM above the floor passes.
+    #[test]
+    fn validate_request_no_profile_rides_floor() {
+        let cfg = crate::config::ContextLimitConfig::default();
+        assert!(validate_request(500_000, 5_000, 1_000_000, None, &cfg).is_ok());
+    }
+
+    /// The acceptance test (#65): a cap derived against *ample* free VRAM
+    /// is later applied at request time against *tightened* free VRAM. A
+    /// prompt sized exactly at the now-stale `effective_prompt_cap()`
+    /// clears the cap and the static floor, yet no longer fits — the
+    /// length-aware backstop catches it with a clean `InsufficientVram`
+    /// instead of an OOM-poisoned context. Same prompt with the original
+    /// ample VRAM still passes, proving the guard only bites on staleness.
+    #[test]
+    fn validate_request_catches_poll_vs_request_staleness() {
+        let cfg = crate::config::ContextLimitConfig::default();
+        let profile = backstop_profile();
+
+        // Cap derived at /models poll time with 40 GB free on the tightest
+        // card — throughput binds, giving input = 87040 (the issue's
+        // worked beast figure).
+        let limit = super::super::context_limit::derive_limit(&profile, 40_000, 800.0, None, &cfg);
+        let cap = limit.input.expect("input budget derived");
+        assert_eq!(cap, 87_040);
+
+        // With that same ample VRAM, a prompt at the cap still fits.
+        assert!(validate_request(cap, 40_000, cap, Some(&profile), &cfg).is_ok());
+
+        // Now free VRAM has dropped to 5 GB between the poll and the
+        // request (a co-resident model loaded). The prompt is still ≤ cap
+        // and clears the 1500 MiB floor, but its footprint —
+        // (87040 + 8192)/32 + 2048 + 1500 = 6524 MiB — exceeds 5000 MiB.
+        let err = validate_request(cap, 5_000, cap, Some(&profile), &cfg)
+            .expect_err("stale cap must not let an over-VRAM prompt through");
+        assert!(matches!(
+            err,
+            InferenceError::InsufficientVram {
+                free_mb: 5_000,
+                required_mb: 6_524
+            }
+        ));
+    }
+
     // ── Tool-call body parsing ───────────────────────────────────────
 
     fn weather_schemas() -> ToolSchemas {

crates/neuron/src/harness/context_limit.rs

@@ -100,9 +100,9 @@ pub const KV_CACHE_DTYPE_BYTES: usize = 2;
 /// state, not a growing cache). Sharded across the TP world: per-rank
 /// KV-head count is `n_kv_heads / world_size`.
 ///
-/// `2 ×` accounts for K and V. Shared by the limit derivation here and
-/// the per-rank load-time logging in the TP paths (and, in future, by
-/// #65's length-aware pre-flight guard).
+/// `2 ×` accounts for K and V. Shared by the limit derivation here, the
+/// per-rank load-time logging in the TP paths, and #65's request-time
+/// length-aware pre-flight guard (`candle::validate_request`).
 pub fn kv_bytes_per_token(
     n_full_attn_layers: usize,
     n_kv_heads: usize,

crates/neuron/src/health.rs

@@ -30,6 +30,9 @@ impl HealthCache {
                 // direct read from the cache stays a well-typed
                 // HealthResponse on the wire.
                 activation: Default::default(),
+                // Per-model admission load is overlaid by the api handler
+                // from the candle harness (#53); the cache doesn't own it.
+                models: Vec::new(),
             }),
             has_gpus: RwLock::new(false),
         }

crates/neuron/tests/api.rs

@@ -114,6 +114,12 @@ async fn test_health_endpoint() {
 
     let body: serde_json::Value = resp.json().await.unwrap();
     assert_eq!(body["uptime_secs"], 0);
+    // Per-model admission load (#53) is always present, even with no models
+    // loaded (empty array) — cortex's load-aware router (#55) relies on it.
+    assert!(
+        body["models"].is_array(),
+        "/health must expose a models load array"
+    );
 }
 
 #[tokio::test]

helexa-router.example.toml

@@ -0,0 +1,28 @@
+# helexa-router.example.toml — example configuration
+#
+# Copy to helexa-router.toml and adjust for your environment.
+#
+# Environment variable overrides use the HELEXA_ROUTER_ prefix with __
+# separators:
+#   HELEXA_ROUTER_ROUTER__LISTEN=0.0.0.0:8088
+
+[router]
+# Plaintext listener. Operator/edge nginx terminates client TLS in front of
+# the router — the router never owns an inbound TLS listener.
+listen = "0.0.0.0:8088"
+
+# -- Downstream cortexes -------------------------------------------------
+# Each [[cortexes]] entry is an operator-run cortex the router may dispatch
+# to. The router forwards the client's bearer verbatim (auth stays at
+# cortex) and routes on capacity. Outbound TLS to each cortex is verified.
+#
+# The skeleton only loads this list; capacity/catalogue polling and
+# capacity-aware dispatch arrive in later issues.
+
+# [[cortexes]]
+# name = "lair-cafe"
+# endpoint = "https://cortex.lair.cafe"
+
+# [[cortexes]]
+# name = "example-operator"
+# endpoint = "https://cortex.example.com"

models.example.toml

@@ -26,6 +26,18 @@
 #                        the load to neuron as `scheme:id` so the daemon
 #                        fetches from the right registry. Omit to let
 #                        neuron substitute its own `default_source`.
+#   cost.*             - optional operator-set pricing, surfaced verbatim on
+#                        GET /v1/models for clients (opencode) to display
+#                        spend. USD per 1,000,000 tokens, as numbers:
+#                          cost.input        prompt tokens
+#                          cost.output       completion tokens
+#                          cost.cache_read   cache-hit tokens   (optional tier)
+#                          cost.cache_write  cache-write tokens (optional tier)
+#                        Absent vs zero is intentional (#68): OMIT the whole
+#                        cost block to mean "price not declared / unknown";
+#                        set cost.input/output = 0.0 to mean "intentionally
+#                        free" (self-hosted). The advertised rate must match
+#                        what metering bills against.
 
 # Tensor-parallel target — needs a neuron with at least 2 large GPUs.
 # The example pins to a specific neuron name; adjust or remove the
@@ -41,13 +53,16 @@ pinned_on = ["your-multi-gpu-neuron"]
 limit.context = 32768
 limit.input = 28672
 limit.output = 4096
-# Pricing in USD per 1M tokens — 0.0 for self-hosted.
+# Pricing in USD per 1M tokens. Explicit 0.0 = intentionally free
+# (self-hosted) — distinct from omitting `cost`, which means "not priced".
 cost.input = 0.0
 cost.output = 0.0
 # Static capability hints (unioned with runtime-detected flags).
 capabilities = ["text", "reasoning"]
 
 # Mid-size dense model — fits on any single GPU with ≥16 GB VRAM.
+# No `cost` block here: this model is "not priced" — /v1/models omits the
+# `cost` key for it, so opencode shows spend as unknown rather than $0.
 [[models]]
 id = "Qwen/Qwen3-8B"
 harness = "candle"