Files
cortex/crates/cortex-cli/src/main.rs
rob thijssen 729317d1ef feat(neuron): OpenAI-compatible non-streaming chat completion
Stage 3 of the candle-native pivot. neuron now serves
POST /v1/chat/completions backed by candle's quantized_qwen3 forward
pass on a per-model serialised generation loop, returning the standard
OpenAI ChatCompletionResponse envelope.

Pipeline per request:
- Look up the LoadedModel by request.model (404 if absent).
- Apply the Qwen3 chat template across all messages.
- Tokenize, then spawn_blocking onto tokio's blocking pool to acquire
  the per-model arch lock and run prefill + greedy/temperature/top-p
  sampling via LogitsProcessor.
- Stop on <|im_end|>/<|endoftext|> EOS or max_tokens (finish_reason
  "stop" vs "length").
- Decode with skip_special_tokens=true, build OpenAI response with
  prompt/completion/total usage counts.

Supporting changes:
- HarnessRegistry now stores Arc<dyn Harness> and caches a typed
  Arc<CandleHarness> so inference routes bypass dyn-Trait dispatch.
- LoadedModel.arch becomes Arc<Mutex<ModelArch>> so the lock guard
  can be moved into spawn_blocking.
- NeuronState gains an Option<Arc<CandleHarness>> field for the new
  inference route.
- Typed InferenceError lets the handler map ModelNotLoaded → 404 and
  other failures → 500 without string-matching anyhow messages.
- stream=true returns 501 until Stage 4 wires up SSE.
- Two leftover mistral.rs string references in proxy.rs and cortex-cli
  (missed during the Stage 1 sweep) are corrected here.

Three new default-feature tests cover the no-candle 503, model-not-
loaded 404, and stream=true 501 paths. The cuda-integration test from
Stage 2 still covers real load/unload; a streaming-feature gated test
exercising actual generation will arrive with Stage 4.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-18 16:47:58 +03:00

112 lines
3.1 KiB
Rust

use anyhow::Result;
use clap::{Parser, Subcommand};
use cortex_core::config::GatewayConfig;
use tracing_subscriber::EnvFilter;
#[derive(Parser)]
#[command(name = "cortex")]
#[command(about = "Unified inference gateway for multi-node GPU clusters")]
#[command(version)]
struct Cli {
#[command(subcommand)]
command: Commands,
}
#[derive(Subcommand)]
enum Commands {
/// Start the gateway server.
Serve {
/// Path to the gateway config file.
#[arg(short, long, default_value = "cortex.toml")]
config: String,
},
/// Print the fleet status (models, nodes, health).
Status {
/// Gateway API endpoint to query.
#[arg(short, long, default_value = "http://localhost:31313")]
endpoint: String,
},
}
#[tokio::main]
async fn main() -> Result<()> {
// Initialize tracing with env filter (e.g. RUST_LOG=cortex_gateway=debug).
tracing_subscriber::fmt()
.with_env_filter(
EnvFilter::try_from_default_env()
.unwrap_or_else(|_| EnvFilter::new("info,cortex_gateway=debug")),
)
.init();
let cli = Cli::parse();
match cli.command {
Commands::Serve { config } => {
let cfg = GatewayConfig::load(&config)
.map_err(|e| anyhow::anyhow!("failed to load config from '{config}': {e}"))?;
tracing::info!(
neurons = cfg.neurons.len(),
listen = %cfg.gateway.listen,
"starting cortex"
);
// Install Prometheus metrics exporter on a separate port.
cortex_gateway::metrics::install(&cfg.gateway.metrics_listen)?;
cortex_gateway::run(cfg).await?;
}
Commands::Status { endpoint } => {
print_status(&endpoint).await?;
}
}
Ok(())
}
async fn print_status(endpoint: &str) -> Result<()> {
let client = reqwest::Client::new();
// Fetch health.
let health: serde_json::Value = client
.get(format!("{endpoint}/health"))
.send()
.await?
.json()
.await?;
println!("Fleet health: {}", serde_json::to_string_pretty(&health)?);
// Fetch models.
let models: serde_json::Value = client
.get(format!("{endpoint}/v1/models"))
.send()
.await?
.json()
.await?;
println!("\nModels:");
if let Some(data) = models.get("data").and_then(|d| d.as_array()) {
for model in data {
let id = model.get("id").and_then(|v| v.as_str()).unwrap_or("?");
let locations = model
.get("locations")
.and_then(|v| v.as_array())
.map(|arr| {
arr.iter()
.filter_map(|l| {
let node = l.get("node")?.as_str()?;
let status = l.get("status")?.as_str()?;
Some(format!("{node}({status})"))
})
.collect::<Vec<_>>()
.join(", ")
})
.unwrap_or_default();
println!(" {id:40} {locations}");
}
}
Ok(())
}