add return_full_text support

router/src/lib.rs

@@ -47,8 +47,8 @@ pub(crate) struct GenerateParameters {
     #[schema(exclusive_minimum = 0, exclusive_maximum = 512, default = "20")]
     pub max_new_tokens: u32,
     #[serde(default)]
-    #[schema(default = "false", example = false)]
-    pub return_full_text: bool,
+    #[schema(default = "None", example = false)]
+    pub return_full_text: Option<bool>,
     #[serde(default)]
     #[schema(inline, max_items = 4, example = json ! (["photographer"]))]
     pub stop: Vec<String>,
@@ -71,7 +71,7 @@ fn default_parameters() -> GenerateParameters {
         top_p: None,
         do_sample: false,
         max_new_tokens: default_max_new_tokens(),
-        return_full_text: false,
+        return_full_text: None,
         stop: vec![],
         details: false,
         seed: None,

router/src/server.rs

@@ -29,31 +29,27 @@ use utoipa_swagger_ui::SwaggerUi;
 /// Compatibility route with api-inference and AzureML
 #[instrument(skip(infer))]
 async fn compat_generate(
-    return_full_text: Extension<bool>,
+    default_return_full_text: Extension<bool>,
     infer: Extension<Infer>,
     req: Json<CompatGenerateRequest>,
 ) -> Result<impl IntoResponse, (StatusCode, Json<ErrorResponse>)> {
     // switch on stream
-    let req = req.0;
-    if req.stream {
-        Ok(generate_stream(infer, Json(req.into()))
-            .await
-            .into_response())
-    } else {
-        let mut add_prompt = None;
-        if return_full_text.0 {
-            add_prompt = Some(req.inputs.clone());
+    let mut req = req.0;
+    if req.parameters.return_full_text.is_none() {
+        req.parameters.return_full_text = Some(default_return_full_text.0)
     }
 
-        let (headers, generation) = generate(infer, Json(req.into())).await?;
-
-        let mut generation = generation.0;
-        if let Some(prompt) = add_prompt {
-            generation.generated_text = prompt + &generation.generated_text;
-        };
-
+    if req.stream {
+        Ok(
+            generate_stream(infer, Json(req.into()))
+                .await
+                .into_response(),
+        )
+    } else {
+        let (headers, generation) =
+            generate(infer, Json(req.into())).await?;
         // wrap generation inside a Vec to match api-inference
-        Ok((headers, Json(vec![generation])).into_response())
+        Ok((headers, Json(vec![generation.0])).into_response())
     }
 }
 
@@ -75,7 +71,7 @@ async fn health(infer: Extension<Infer>) -> Result<(), (StatusCode, Json<ErrorRe
                 top_p: None,
                 do_sample: false,
                 max_new_tokens: 1,
-                return_full_text: false,
+                return_full_text: None,
                 stop: Vec::new(),
                 details: false,
                 seed: None,
@@ -87,32 +83,32 @@ async fn health(infer: Extension<Infer>) -> Result<(), (StatusCode, Json<ErrorRe
 
 /// Generate tokens
 #[utoipa::path(
-    post,
-    tag = "Text Generation Inference",
-    path = "/generate",
-    request_body = GenerateRequest,
-    responses(
-        (status = 200, description = "Generated Text", body = GenerateResponse),
-        (status = 424, description = "Generation Error", body = ErrorResponse,
-            example = json!({"error": "Request failed during generation"})),
-        (status = 429, description = "Model is overloaded", body = ErrorResponse,
-            example = json!({"error": "Model is overloaded"})),
-        (status = 422, description = "Input validation error", body = ErrorResponse,
-            example = json!({"error": "Input validation error"})),
-        (status = 500, description = "Incomplete generation", body = ErrorResponse,
-            example = json!({"error": "Incomplete generation"})),
-    )
+post,
+tag = "Text Generation Inference",
+path = "/generate",
+request_body = GenerateRequest,
+responses(
+(status = 200, description = "Generated Text", body = GenerateResponse),
+(status = 424, description = "Generation Error", body = ErrorResponse,
+example = json ! ({"error": "Request failed during generation"})),
+(status = 429, description = "Model is overloaded", body = ErrorResponse,
+example = json ! ({"error": "Model is overloaded"})),
+(status = 422, description = "Input validation error", body = ErrorResponse,
+example = json ! ({"error": "Input validation error"})),
+(status = 500, description = "Incomplete generation", body = ErrorResponse,
+example = json ! ({"error": "Incomplete generation"})),
+)
 )]
 #[instrument(
-    skip(infer),
-    fields(
-        total_time,
-        validation_time,
-        queue_time,
-        inference_time,
-        time_per_token,
-        seed,
-    )
+skip(infer),
+fields(
+total_time,
+validation_time,
+queue_time,
+inference_time,
+time_per_token,
+seed,
+)
 )]
 async fn generate(
     infer: Extension<Infer>,
@@ -122,7 +118,12 @@ async fn generate(
     let start_time = Instant::now();
 
     let mut add_prompt = None;
-    if req.0.parameters.return_full_text {
+    if req
+        .0
+        .parameters
+        .return_full_text
+        .unwrap_or(false)
+    {
         add_prompt = Some(req.0.inputs.clone());
     }
 
@@ -209,42 +210,42 @@ async fn generate(
 
 /// Generate a stream of token using Server-Sent Events
 #[utoipa::path(
-    post,
-    tag = "Text Generation Inference",
-    path = "/generate_stream",
-    request_body = GenerateRequest,
-    responses(
-        (status = 200, description = "Generated Text", body = StreamResponse,
-            content_type="text/event-stream"),
-        (status = 424, description = "Generation Error", body = ErrorResponse,
-            example = json!({"error": "Request failed during generation"}),
-            content_type="text/event-stream"),
-        (status = 429, description = "Model is overloaded", body = ErrorResponse,
-            example = json!({"error": "Model is overloaded"}),
-            content_type="text/event-stream"),
-        (status = 422, description = "Input validation error", body = ErrorResponse,
-            example = json!({"error": "Input validation error"}),
-            content_type="text/event-stream"),
-        (status = 500, description = "Incomplete generation", body = ErrorResponse,
-            example = json!({"error": "Incomplete generation"}),
-            content_type="text/event-stream"),
-    )
+post,
+tag = "Text Generation Inference",
+path = "/generate_stream",
+request_body = GenerateRequest,
+responses(
+(status = 200, description = "Generated Text", body = StreamResponse,
+content_type = "text/event-stream"),
+(status = 424, description = "Generation Error", body = ErrorResponse,
+example = json ! ({"error": "Request failed during generation"}),
+content_type = "text/event-stream"),
+(status = 429, description = "Model is overloaded", body = ErrorResponse,
+example = json ! ({"error": "Model is overloaded"}),
+content_type = "text/event-stream"),
+(status = 422, description = "Input validation error", body = ErrorResponse,
+example = json ! ({"error": "Input validation error"}),
+content_type = "text/event-stream"),
+(status = 500, description = "Incomplete generation", body = ErrorResponse,
+example = json ! ({"error": "Incomplete generation"}),
+content_type = "text/event-stream"),
+)
 )]
 #[instrument(
-    skip(infer),
-    fields(
-        total_time,
-        validation_time,
-        queue_time,
-        inference_time,
-        time_per_token,
-        seed,
-    )
+skip(infer),
+fields(
+total_time,
+validation_time,
+queue_time,
+inference_time,
+time_per_token,
+seed,
+)
 )]
 async fn generate_stream(
     infer: Extension<Infer>,
     req: Json<GenerateRequest>,
-) -> Sse<impl Stream<Item = Result<Event, Infallible>>> {
+) -> Sse<impl Stream<Item=Result<Event, Infallible>>> {
     let span = tracing::Span::current();
     let start_time = Instant::now();
 
@@ -254,7 +255,7 @@ async fn generate_stream(
         let mut error = false;
 
         let mut add_prompt = None;
-        if req.0.parameters.return_full_text {
+        if req.0.parameters.return_full_text.unwrap_or(false) {
             add_prompt = Some(req.0.inputs.clone());
         }
         let details = req.0.parameters.details;
@@ -370,10 +371,10 @@ async fn generate_stream(
 
 /// Prometheus metrics scrape endpoint
 #[utoipa::path(
-    get,
-    tag = "Text Generation Inference",
-    path = "/metrics",
-    responses((status = 200, description = "Prometheus Metrics", body = String))
+get,
+tag = "Text Generation Inference",
+path = "/metrics",
+responses((status = 200, description = "Prometheus Metrics", body = String))
 )]
 async fn metrics(prom_handle: Extension<PrometheusHandle>) -> String {
     prom_handle.render()