[model-gateway] Add classification model support infrastructure (#16061)
Co-authored-by: Chang Su <chang.s.su@oracle.com>
This commit is contained in:
@@ -7,6 +7,8 @@
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//!
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//! Inspired by Dynamo's ModelDeploymentCard but simplified for router needs.
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use std::collections::HashMap;
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use serde::{Deserialize, Serialize};
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use super::{
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@@ -168,6 +170,21 @@ pub struct ModelCard {
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/// User-defined metadata (for fields not covered above)
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#[serde(default, skip_serializing_if = "Option::is_none")]
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pub metadata: Option<serde_json::Value>,
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// === Classification Support ===
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/// Classification label mapping (class index -> label name).
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/// Empty if not a classification model.
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/// Example: {0: "negative", 1: "positive"}
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#[serde(default, skip_serializing_if = "HashMap::is_empty")]
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pub id2label: HashMap<u32, String>,
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/// Number of classification labels (0 if not a classifier).
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#[serde(default, skip_serializing_if = "is_zero")]
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pub num_labels: u32,
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}
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fn is_zero(n: &u32) -> bool {
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*n == 0
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}
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fn default_model_type() -> ModelType {
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@@ -193,6 +210,8 @@ impl ModelCard {
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reasoning_parser: None,
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tool_parser: None,
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metadata: None,
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id2label: HashMap::new(),
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num_labels: 0,
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}
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}
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@@ -276,6 +295,19 @@ impl ModelCard {
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self
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}
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/// Set the id2label mapping for classification models
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pub fn with_id2label(mut self, id2label: HashMap<u32, String>) -> Self {
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self.num_labels = id2label.len() as u32;
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self.id2label = id2label;
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self
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}
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/// Set num_labels directly (alternative to with_id2label)
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pub fn with_num_labels(mut self, num_labels: u32) -> Self {
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self.num_labels = num_labels;
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self
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}
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// === Query methods ===
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/// Check if this model matches the given ID (including aliases)
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@@ -334,6 +366,20 @@ impl ModelCard {
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pub fn supports_reasoning(&self) -> bool {
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self.model_type.supports_reasoning()
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}
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/// Check if this is a classification model
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#[inline]
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pub fn is_classifier(&self) -> bool {
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self.num_labels > 0
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}
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/// Get label for a class index, with fallback to generic label (LABEL_N)
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pub fn get_label(&self, class_idx: u32) -> String {
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self.id2label
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.get(&class_idx)
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.cloned()
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.unwrap_or_else(|| format!("LABEL_{}", class_idx))
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}
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}
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impl Default for ModelCard {
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@@ -175,6 +175,40 @@ fn build_model_card(
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}
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}
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// Parse classification model id2label mapping
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// The proto field is id2label_json: JSON string like {"0": "negative", "1": "positive"}
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if let Some(id2label_json) = labels.get("id2label_json") {
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if !id2label_json.is_empty() {
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// Parse JSON: keys are string indices, values are label names
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if let Ok(string_map) = serde_json::from_str::<HashMap<String, String>>(id2label_json) {
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// Convert string keys ("0", "1") to u32 keys (0, 1)
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let id2label: HashMap<u32, String> = string_map
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.into_iter()
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.filter_map(|(k, v)| k.parse::<u32>().ok().map(|idx| (idx, v)))
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.collect();
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if !id2label.is_empty() {
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card = card.with_id2label(id2label);
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debug!("Parsed id2label with {} classes", card.num_labels);
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}
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}
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}
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}
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// Fallback: if num_labels is set but id2label wasn't parsed, create default labels
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// Match logic in serving_classify.py::_get_id2label_mapping
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else if let Some(num_labels_str) = labels.get("num_labels") {
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if let Ok(num_labels) = num_labels_str.parse::<u32>() {
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if num_labels > 0 {
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// Create default mapping: {0: "LABEL_0", 1: "LABEL_1", ...}
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let id2label: HashMap<u32, String> = (0..num_labels)
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.map(|i| (i, format!("LABEL_{}", i)))
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.collect();
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card = card.with_id2label(id2label);
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debug!("Created default id2label with {} classes", num_labels);
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}
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}
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}
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card
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}
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@@ -242,6 +242,40 @@ pub trait Worker: Send + Sync + fmt::Debug {
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self.metadata().provider_for_model(model_id)
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}
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/// Check if a model is a classifier (has id2label mapping).
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fn is_classifier(&self, model_id: &str) -> bool {
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self.metadata()
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.find_model(model_id)
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.map(|m| m.is_classifier())
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.unwrap_or(false)
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}
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/// Get the id2label mapping for a classification model.
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/// Returns None if model is not a classifier or not found.
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fn id2label(&self, model_id: &str) -> Option<&std::collections::HashMap<u32, String>> {
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self.metadata()
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.find_model(model_id)
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.filter(|m| m.is_classifier())
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.map(|m| &m.id2label)
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}
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/// Get the number of classification labels for a model.
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fn num_labels(&self, model_id: &str) -> u32 {
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self.metadata()
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.find_model(model_id)
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.map(|m| m.num_labels)
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.unwrap_or(0)
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}
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/// Get label for a class index from a classification model.
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/// Returns generic label (LABEL_N) if model not found or index not in mapping.
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fn get_label(&self, model_id: &str, class_idx: u32) -> String {
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self.metadata()
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.find_model(model_id)
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.map(|m| m.get_label(class_idx))
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.unwrap_or_else(|| format!("LABEL_{}", class_idx))
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}
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/// Check if this worker supports a specific model.
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/// If models list is empty, worker accepts any model.
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fn supports_model(&self, model_id: &str) -> bool {
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@@ -428,6 +428,12 @@ message GetModelInfoResponse {
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int32 bos_token_id = 13;
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int32 max_req_input_len = 14;
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repeated string architectures = 15;
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// Classification model support (from HuggingFace config.json)
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// id2label maps class indices to label names, e.g., {"0": "negative", "1": "positive"}
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string id2label_json = 16;
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// Number of classification labels (0 if not a classifier)
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int32 num_labels = 17;
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}
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// Get server information
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@@ -105,7 +105,7 @@ impl GrpcClient {
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match self {
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Self::Sglang(client) => {
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let info = client.get_model_info().await?;
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Ok(ModelInfo::Sglang(info))
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Ok(ModelInfo::Sglang(Box::new(info)))
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}
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Self::Vllm(client) => {
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let info = client.get_model_info().await?;
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@@ -151,7 +151,7 @@ impl GrpcClient {
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/// Unified ModelInfo wrapper
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pub enum ModelInfo {
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Sglang(crate::grpc_client::sglang_proto::GetModelInfoResponse),
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Sglang(Box<crate::grpc_client::sglang_proto::GetModelInfoResponse>),
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Vllm(crate::grpc_client::vllm_proto::GetModelInfoResponse),
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}
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