fix(worker): collapse incremental segments

Normalize rolling partial-hypothesis chains before final job persistence so downstream clients receive stable transcript segments instead of echoed continuations.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

src/error.rs

@@ -1,10 +1,10 @@
-use thiserror::Error;
 use axum::{
-    http::{StatusCode, HeaderValue, header},
+    http::{header, HeaderValue, StatusCode},
     response::{IntoResponse, Response},
     Json,
 };
 use serde_json::json;
+use thiserror::Error;
 
 pub type Result<T> = std::result::Result<T, AppError>;
 
@@ -31,7 +31,10 @@ pub enum AppError {
     /// Returned when a job is submitted but the model is not yet loaded.
     /// Carries the current state tag and recommended Retry-After seconds.
     #[error("model not ready: {state}")]
-    ModelNotReady { state: String, retry_after_secs: u64 },
+    ModelNotReady {
+        state: String,
+        retry_after_secs: u64,
+    },
 }
 
 impl AppError {
@@ -59,13 +62,20 @@ impl IntoResponse for AppError {
             }
             AppError::Internal(m) => {
                 tracing::error!(error = %m, "internal error");
-                (StatusCode::INTERNAL_SERVER_ERROR, Json(json!({ "error": m }))).into_response()
+                (
+                    StatusCode::INTERNAL_SERVER_ERROR,
+                    Json(json!({ "error": m })),
+                )
+                    .into_response()
             }
             AppError::OutOfMemory(m) => {
                 tracing::warn!(error = %m, "GPU out of memory during model load");
                 (StatusCode::SERVICE_UNAVAILABLE, Json(json!({ "error": m }))).into_response()
             }
-            AppError::ModelNotReady { state, retry_after_secs } => {
+            AppError::ModelNotReady {
+                state,
+                retry_after_secs,
+            } => {
                 let body = Json(json!({
                     "error":            "model_not_ready",
                     "state":            state,
@@ -117,17 +127,25 @@ mod tests {
 
     #[tokio::test]
     async fn test_model_not_ready_response_has_retry_after_header() {
-        let err = AppError::ModelNotReady { state: "loading".into(), retry_after_secs: 10 };
+        let err = AppError::ModelNotReady {
+            state: "loading".into(),
+            retry_after_secs: 10,
+        };
         let resp = err.into_response();
         assert_eq!(resp.status(), StatusCode::SERVICE_UNAVAILABLE);
-        let retry_after = resp.headers().get(header::RETRY_AFTER)
+        let retry_after = resp
+            .headers()
+            .get(header::RETRY_AFTER)
             .expect("Retry-After header missing");
         assert_eq!(retry_after, "10");
     }
 
     #[tokio::test]
     async fn test_model_not_ready_response_body() {
-        let err = AppError::ModelNotReady { state: "unloaded".into(), retry_after_secs: 30 };
+        let err = AppError::ModelNotReady {
+            state: "unloaded".into(),
+            retry_after_secs: 30,
+        };
         let resp = err.into_response();
         let bytes = to_bytes(resp.into_body(), usize::MAX).await.unwrap();
         let v: serde_json::Value = serde_json::from_slice(&bytes).unwrap();
@@ -138,21 +156,21 @@ mod tests {
 
     #[tokio::test]
     async fn test_model_not_ready_loading_retry_after_10() {
-        let err = AppError::ModelNotReady { state: "loading".into(), retry_after_secs: 10 };
+        let err = AppError::ModelNotReady {
+            state: "loading".into(),
+            retry_after_secs: 10,
+        };
         let resp = err.into_response();
-        assert_eq!(
-            resp.headers().get(header::RETRY_AFTER).unwrap(),
-            "10"
-        );
+        assert_eq!(resp.headers().get(header::RETRY_AFTER).unwrap(), "10");
     }
 
     #[tokio::test]
     async fn test_model_not_ready_unloaded_retry_after_30() {
-        let err = AppError::ModelNotReady { state: "unloaded".into(), retry_after_secs: 30 };
+        let err = AppError::ModelNotReady {
+            state: "unloaded".into(),
+            retry_after_secs: 30,
+        };
         let resp = err.into_response();
-        assert_eq!(
-            resp.headers().get(header::RETRY_AFTER).unwrap(),
-            "30"
-        );
+        assert_eq!(resp.headers().get(header::RETRY_AFTER).unwrap(), "30");
     }
 }

src/main.rs

@@ -97,10 +97,10 @@ async fn main() -> anyhow::Result<()> {
         .with(tracing_subscriber::fmt::layer().json())
         .init();
 
-    let data_dir   = std::env::var("DATA_DIR").unwrap_or_else(|_| "/data".into());
-    let model_path = std::env::var("WHISPER_MODEL_PATH")
-        .unwrap_or_else(|_| "/models/ggml-large-v3.bin".into());
-    let port       = std::env::var("PORT").unwrap_or_else(|_| "8080".into());
+    let data_dir = std::env::var("DATA_DIR").unwrap_or_else(|_| "/data".into());
+    let model_path =
+        std::env::var("WHISPER_MODEL_PATH").unwrap_or_else(|_| "/models/ggml-large-v3.bin".into());
+    let port = std::env::var("PORT").unwrap_or_else(|_| "8080".into());
     let model_name = std::env::var("WHISPER_MODEL").unwrap_or_else(|_| "large-v3".into());
     let gpu_device: u32 = std::env::var("CUDA_DEVICE")
         .ok()
@@ -132,7 +132,9 @@ async fn main() -> anyhow::Result<()> {
     // Model starts unloaded — lazy load on first job or POST /model/load.
     let model_state = Arc::new(RwLock::new(models::ModelState::Unloaded));
     let (model_event_tx, _) = broadcast::channel::<models::ModelEvent>(32);
-    let webhook_registry = Arc::new(std::sync::Mutex::new(std::collections::HashSet::<String>::new()));
+    let webhook_registry = Arc::new(std::sync::Mutex::new(
+        std::collections::HashSet::<String>::new(),
+    ));
 
     // Spawn single GPU worker; get back the SSE broadcast registry and cmd channel.
     let (progress, cmd_tx) = worker::start(
@@ -153,13 +155,13 @@ async fn main() -> anyhow::Result<()> {
         cmd_tx,
         storage: Arc::clone(&storage),
         progress,
-        model_name:        model_name.as_str().into(),
-        queue_depth:       Arc::clone(&queue_depth),
+        model_name: model_name.as_str().into(),
+        queue_depth: Arc::clone(&queue_depth),
         gpu_device,
         model_state,
         model_event_tx,
         webhook_registry,
-        idle_timeout:      std::time::Duration::from_secs(idle_timeout_secs),
+        idle_timeout: std::time::Duration::from_secs(idle_timeout_secs),
         gpu_poll_interval: std::time::Duration::from_secs(gpu_poll_interval_secs),
     };
 

src/models.rs

@@ -48,20 +48,20 @@ impl ModelState {
     /// Suggested `Retry-After` value (seconds) to include in 503 responses.
     pub fn retry_after_secs(&self) -> u64 {
         match self {
-            ModelState::Unloaded             => 30,  // conservative load estimate
-            ModelState::Loading              => 10,
+            ModelState::Unloaded => 30, // conservative load estimate
+            ModelState::Loading => 10,
             ModelState::WaitingForGpu { retry_in_secs, .. } => *retry_in_secs,
-            ModelState::Ready { .. }         => 0,   // shouldn't 503 if ready
+            ModelState::Ready { .. } => 0, // shouldn't 503 if ready
         }
     }
 
     /// String tag for use in error response bodies and log fields.
     pub fn tag(&self) -> &'static str {
         match self {
-            ModelState::Unloaded          => "unloaded",
-            ModelState::Loading           => "loading",
-            ModelState::WaitingForGpu{..} => "waiting_for_gpu",
-            ModelState::Ready{..}         => "ready",
+            ModelState::Unloaded => "unloaded",
+            ModelState::Loading => "loading",
+            ModelState::WaitingForGpu { .. } => "waiting_for_gpu",
+            ModelState::Ready { .. } => "ready",
         }
     }
 }
@@ -77,9 +77,7 @@ impl ModelState {
 #[serde(tag = "type", rename_all = "snake_case")]
 pub enum ModelEvent {
     /// Model finished loading and the GPU warmup completed — ready to accept jobs.
-    ModelReady {
-        loaded_at: DateTime<Utc>,
-    },
+    ModelReady { loaded_at: DateTime<Utc> },
     /// Model was unloaded from GPU memory (idle timeout or manual unload).
     ModelUnloaded,
     /// Model load initiated.
@@ -87,15 +85,18 @@ pub enum ModelEvent {
     /// Load failed due to insufficient VRAM; retrying after `retry_in_secs`.
     ModelWaitingForGpu {
         vram_needed_mb: u64,
-        vram_free_mb:   u64,
-        retry_in_secs:  u64,
+        vram_free_mb: u64,
+        retry_in_secs: u64,
     },
 }
 
 impl ModelEvent {
     /// Returns true if this event should be delivered via webhook.
     pub fn is_webhook_event(&self) -> bool {
-        matches!(self, ModelEvent::ModelReady { .. } | ModelEvent::ModelUnloaded)
+        matches!(
+            self,
+            ModelEvent::ModelReady { .. } | ModelEvent::ModelUnloaded
+        )
     }
 }
 
@@ -132,11 +133,11 @@ pub enum JobStatus {
 #[derive(Debug, Clone, Serialize, Deserialize, ToSchema)]
 pub struct Word {
     /// Word text
-    pub text:        String,
+    pub text: String,
     /// Start time in seconds
-    pub start:       f32,
+    pub start: f32,
     /// End time in seconds
-    pub end:         f32,
+    pub end: f32,
     /// Model confidence (0–1)
     pub probability: f32,
 }
@@ -148,9 +149,9 @@ pub struct Segment {
     /// Start time in seconds
     pub start: f32,
     /// End time in seconds
-    pub end:   f32,
+    pub end: f32,
     /// Transcribed text
-    pub text:  String,
+    pub text: String,
     /// Token-level word timestamps (empty when flash_attn is enabled)
     #[serde(default)]
     pub words: Vec<Word>,
@@ -205,18 +206,23 @@ pub struct Job {
 }
 
 impl Job {
-    pub fn new(id: JobId, task: String, webhook_url: Option<String>, filename: Option<String>) -> Self {
+    pub fn new(
+        id: JobId,
+        task: String,
+        webhook_url: Option<String>,
+        filename: Option<String>,
+    ) -> Self {
         Self {
             id,
-            status:       JobStatus::Queued,
-            language:     None,
+            status: JobStatus::Queued,
+            language: None,
             task,
             duration_secs: None,
-            segments:     vec![],
-            error:        None,
+            segments: vec![],
+            error: None,
             webhook_url,
-            progress:     0,
-            created_at:   Utc::now(),
+            progress: 0,
+            created_at: Utc::now(),
             completed_at: None,
             filename,
         }
@@ -235,13 +241,13 @@ pub struct SubmitResponse {
 /// Response from GET /health.
 #[derive(Debug, Serialize, ToSchema)]
 pub struct HealthResponse {
-    pub status:        String,
-    pub gpu_name:      Option<String>,
+    pub status: String,
+    pub gpu_name: Option<String>,
     pub vram_total_mb: Option<u64>,
-    pub model:         String,
-    pub queue_depth:   usize,
+    pub model: String,
+    pub queue_depth: usize,
     /// Current state of the whisper model.
-    pub model_state:   String,
+    pub model_state: String,
 }
 
 // ── SSE event payload ────────────────────────────────────────────────────────
@@ -257,8 +263,12 @@ pub enum SsePayload {
         /// Total number of silence-split chunks in this job.
         chunks_total: usize,
     },
-    Done  { job: Box<Job> },
-    Error { message: String },
+    Done {
+        job: Box<Job>,
+    },
+    Error {
+        message: String,
+    },
 }
 
 // ── Unit tests ───────────────────────────────────────────────────────────────
@@ -284,7 +294,11 @@ mod tests {
 
     #[test]
     fn test_model_state_waiting_serializes() {
-        let s = ModelState::WaitingForGpu { vram_needed_mb: 3000, vram_free_mb: 500, retry_in_secs: 30 };
+        let s = ModelState::WaitingForGpu {
+            vram_needed_mb: 3000,
+            vram_free_mb: 500,
+            retry_in_secs: 30,
+        };
         let v: Value = serde_json::to_value(&s).unwrap();
         assert_eq!(v["state"], "waiting_for_gpu");
         assert_eq!(v["vram_needed_mb"], 3000);
@@ -305,8 +319,16 @@ mod tests {
     fn test_model_state_is_ready() {
         assert!(!ModelState::Unloaded.is_ready());
         assert!(!ModelState::Loading.is_ready());
-        assert!(!ModelState::WaitingForGpu { vram_needed_mb: 0, vram_free_mb: 0, retry_in_secs: 30 }.is_ready());
-        assert!(ModelState::Ready { loaded_at: Utc::now() }.is_ready());
+        assert!(!ModelState::WaitingForGpu {
+            vram_needed_mb: 0,
+            vram_free_mb: 0,
+            retry_in_secs: 30
+        }
+        .is_ready());
+        assert!(ModelState::Ready {
+            loaded_at: Utc::now()
+        }
+        .is_ready());
     }
 
     #[test]
@@ -321,13 +343,23 @@ mod tests {
 
     #[test]
     fn test_retry_after_waiting_for_gpu() {
-        let s = ModelState::WaitingForGpu { vram_needed_mb: 0, vram_free_mb: 0, retry_in_secs: 45 };
+        let s = ModelState::WaitingForGpu {
+            vram_needed_mb: 0,
+            vram_free_mb: 0,
+            retry_in_secs: 45,
+        };
         assert_eq!(s.retry_after_secs(), 45);
     }
 
     #[test]
     fn test_retry_after_ready_is_zero() {
-        assert_eq!(ModelState::Ready { loaded_at: Utc::now() }.retry_after_secs(), 0);
+        assert_eq!(
+            ModelState::Ready {
+                loaded_at: Utc::now()
+            }
+            .retry_after_secs(),
+            0
+        );
     }
 
     // ── ModelEvent serialization ─────────────────────────────────────────────
@@ -355,7 +387,11 @@ mod tests {
 
     #[test]
     fn test_model_event_waiting_serializes() {
-        let e = ModelEvent::ModelWaitingForGpu { vram_needed_mb: 3000, vram_free_mb: 200, retry_in_secs: 30 };
+        let e = ModelEvent::ModelWaitingForGpu {
+            vram_needed_mb: 3000,
+            vram_free_mb: 200,
+            retry_in_secs: 30,
+        };
         let v: Value = serde_json::to_value(&e).unwrap();
         assert_eq!(v["type"], "model_waiting_for_gpu");
         assert_eq!(v["vram_needed_mb"], 3000);
@@ -363,10 +399,18 @@ mod tests {
 
     #[test]
     fn test_model_event_webhook_filter() {
-        assert!(ModelEvent::ModelReady { loaded_at: Utc::now() }.is_webhook_event());
+        assert!(ModelEvent::ModelReady {
+            loaded_at: Utc::now()
+        }
+        .is_webhook_event());
         assert!(ModelEvent::ModelUnloaded.is_webhook_event());
         assert!(!ModelEvent::ModelLoading.is_webhook_event());
-        assert!(!ModelEvent::ModelWaitingForGpu { vram_needed_mb: 0, vram_free_mb: 0, retry_in_secs: 30 }.is_webhook_event());
+        assert!(!ModelEvent::ModelWaitingForGpu {
+            vram_needed_mb: 0,
+            vram_free_mb: 0,
+            retry_in_secs: 30
+        }
+        .is_webhook_event());
     }
 
     // ── ModelStatusResponse ──────────────────────────────────────────────────
@@ -374,8 +418,10 @@ mod tests {
     #[test]
     fn test_model_status_response_roundtrip() {
         let r = ModelStatusResponse {
-            state:         ModelState::Ready { loaded_at: Utc::now() },
-            vram_used_mb:  Some(4096),
+            state: ModelState::Ready {
+                loaded_at: Utc::now(),
+            },
+            vram_used_mb: Some(4096),
             vram_total_mb: Some(8192),
         };
         let json_str = serde_json::to_string(&r).unwrap();
@@ -387,7 +433,11 @@ mod tests {
 
     #[test]
     fn test_model_status_response_omits_nulls() {
-        let r = ModelStatusResponse { state: ModelState::Loading, vram_used_mb: None, vram_total_mb: None };
+        let r = ModelStatusResponse {
+            state: ModelState::Loading,
+            vram_used_mb: None,
+            vram_total_mb: None,
+        };
         let v: Value = serde_json::to_value(&r).unwrap();
         assert_eq!(v["state"], "loading");
         assert!(v.get("vram_used_mb").is_none());

src/routes/health.rs

@@ -19,12 +19,12 @@ pub async fn health(State(state): State<AppState>) -> Result<Json<HealthResponse
     let model_state_tag = state.model_state.read().await.tag().to_string();
 
     Ok(Json(HealthResponse {
-        status:        "ok".into(),
+        status: "ok".into(),
         gpu_name,
         vram_total_mb,
-        model:         state.model_name.to_string(),
-        queue_depth:   state.queue_depth.load(Ordering::Relaxed),
-        model_state:   model_state_tag,
+        model: state.model_name.to_string(),
+        queue_depth: state.queue_depth.load(Ordering::Relaxed),
+        model_state: model_state_tag,
     }))
 }
 
@@ -50,9 +50,7 @@ fn gpu_info(device: u32) -> (Option<String>, Option<u64>) {
     let mut parts = line.splitn(2, ',');
 
     let name = parts.next().map(|s| s.trim().to_owned());
-    let vram = parts
-        .next()
-        .and_then(|s| s.trim().parse::<u64>().ok());
+    let vram = parts.next().and_then(|s| s.trim().parse::<u64>().ok());
 
     (name, vram)
 }

src/routes/jobs.rs

@@ -23,7 +23,8 @@ use crate::{
     AppError, AppState, Result,
 };
 
-type SseStream = Pin<Box<dyn Stream<Item = std::result::Result<Event, std::convert::Infallible>> + Send>>;
+type SseStream =
+    Pin<Box<dyn Stream<Item = std::result::Result<Event, std::convert::Infallible>> + Send>>;
 
 // ── POST /jobs ───────────────────────────────────────────────────────────────
 
@@ -53,18 +54,20 @@ pub async fn submit_job(
     State(state): State<AppState>,
     mut multipart: Multipart,
 ) -> Result<impl IntoResponse> {
-    let mut language:    Option<String> = None;
-    let mut task:        String         = "transcribe".into();
+    let mut language: Option<String> = None;
+    let mut task: String = "transcribe".into();
     let mut webhook_url: Option<String> = None;
-    let mut filename:    Option<String> = None;
+    let mut filename: Option<String> = None;
     let mut audio_saved = false;
     // Assign ID early so we know where to stream the audio bytes.
     let id = Uuid::new_v4();
     let audio_path = audio_path_for(&id);
 
-    while let Some(field) = multipart.next_field().await.map_err(|e| {
-        AppError::BadRequest(format!("multipart error: {e}"))
-    })? {
+    while let Some(field) = multipart
+        .next_field()
+        .await
+        .map_err(|e| AppError::BadRequest(format!("multipart error: {e}")))?
+    {
         let field_name = field.name().unwrap_or("").to_owned();
 
         match field_name.as_str() {
@@ -77,9 +80,11 @@ pub async fn submit_job(
                 })?;
                 let mut bytes_written: u64 = 0;
                 let mut stream = field;
-                while let Some(chunk) = stream.chunk().await.map_err(|e| {
-                    AppError::BadRequest(format!("failed to read audio field: {e}"))
-                })? {
+                while let Some(chunk) = stream
+                    .chunk()
+                    .await
+                    .map_err(|e| AppError::BadRequest(format!("failed to read audio field: {e}")))?
+                {
                     file.write_all(&chunk).await.map_err(|e| {
                         AppError::Internal(format!("failed to write audio chunk: {e}"))
                     })?;
@@ -90,10 +95,29 @@ pub async fn submit_job(
                 }
                 audio_saved = true;
             }
-            "language"    => language    = Some(field.text().await.map_err(|e| AppError::BadRequest(e.to_string()))?),
-            "task"        => task        = field.text().await.map_err(|e| AppError::BadRequest(e.to_string()))?,
-            "webhook_url" => webhook_url = Some(field.text().await.map_err(|e| AppError::BadRequest(e.to_string()))?),
-            _             => {} // ignore unknown fields
+            "language" => {
+                language = Some(
+                    field
+                        .text()
+                        .await
+                        .map_err(|e| AppError::BadRequest(e.to_string()))?,
+                )
+            }
+            "task" => {
+                task = field
+                    .text()
+                    .await
+                    .map_err(|e| AppError::BadRequest(e.to_string()))?
+            }
+            "webhook_url" => {
+                webhook_url = Some(
+                    field
+                        .text()
+                        .await
+                        .map_err(|e| AppError::BadRequest(e.to_string()))?,
+                )
+            }
+            _ => {} // ignore unknown fields
         }
     }
 
@@ -112,14 +136,16 @@ pub async fn submit_job(
         let ms = state.model_state.read().await;
         let ready = ms.is_ready();
         let retry = ms.retry_after_secs();
-        let tag   = ms.tag().to_string();
+        let tag = ms.tag().to_string();
         (ready, retry, tag)
     };
 
     // Register the webhook URL regardless of model state — so model lifecycle
     // events are delivered even if the job itself is rejected.
     if let Some(url) = &webhook_url {
-        state.webhook_registry.lock()
+        state
+            .webhook_registry
+            .lock()
             .unwrap_or_else(|e| e.into_inner())
             .insert(url.clone());
     }
@@ -143,12 +169,16 @@ pub async fn submit_job(
     state.storage.create(&job).await?;
 
     // Pre-create the broadcast channel so SSE subscribers don't miss events.
-    state.progress.entry(id).or_insert_with(|| broadcast::channel(64).0);
+    state
+        .progress
+        .entry(id)
+        .or_insert_with(|| broadcast::channel(64).0);
 
     state.queue_depth.fetch_add(1, Ordering::Relaxed);
-    state.job_tx.send(id).map_err(|_| {
-        AppError::Internal("worker channel closed".into())
-    })?;
+    state
+        .job_tx
+        .send(id)
+        .map_err(|_| AppError::Internal("worker channel closed".into()))?;
 
     tracing::info!(job_id = %id, "job queued");
 
@@ -168,10 +198,7 @@ pub async fn submit_job(
         (status = 404, description = "Not found"),
     )
 )]
-pub async fn get_job(
-    State(state): State<AppState>,
-    Path(id):     Path<JobId>,
-) -> Result<Json<Job>> {
+pub async fn get_job(State(state): State<AppState>, Path(id): Path<JobId>) -> Result<Json<Job>> {
     let job = state.storage.get(&id).await?;
     Ok(Json(job))
 }
@@ -196,15 +223,15 @@ pub async fn get_job(
 )]
 pub async fn stream_job(
     State(state): State<AppState>,
-    Path(id):     Path<JobId>,
+    Path(id): Path<JobId>,
 ) -> Result<Sse<SseStream>> {
     // If the job is already finished, return a single done event immediately.
     let job = state.storage.get(&id).await?;
     match job.status {
         JobStatus::Done | JobStatus::Failed | JobStatus::Cancelled => {
-            let payload = serde_json::to_string(
-                &crate::models::SsePayload::Done { job: Box::new(job) }
-            ).unwrap_or_default();
+            let payload =
+                serde_json::to_string(&crate::models::SsePayload::Done { job: Box::new(job) })
+                    .unwrap_or_default();
             let s: SseStream = Box::pin(stream::once(async move {
                 Ok(Event::default().event("done").data(payload))
             }));
@@ -222,22 +249,28 @@ pub async fn stream_job(
 
     let sse_stream: SseStream = Box::pin(BroadcastStream::new(rx).filter_map(|msg| async move {
         let event = match msg {
-            Ok(ProgressEvent::Progress { percent, chunk, total }) => {
-                let payload = serde_json::to_string(
-                    &crate::models::SsePayload::Progress { percent, chunk, chunks_total: total }
-                ).ok()?;
+            Ok(ProgressEvent::Progress {
+                percent,
+                chunk,
+                total,
+            }) => {
+                let payload = serde_json::to_string(&crate::models::SsePayload::Progress {
+                    percent,
+                    chunk,
+                    chunks_total: total,
+                })
+                .ok()?;
                 Event::default().event("progress").data(payload)
             }
             Ok(ProgressEvent::Done(job)) => {
-                let payload = serde_json::to_string(
-                    &crate::models::SsePayload::Done { job }
-                ).ok()?;
+                let payload =
+                    serde_json::to_string(&crate::models::SsePayload::Done { job }).ok()?;
                 Event::default().event("done").data(payload)
             }
             Ok(ProgressEvent::Error(msg)) => {
-                let payload = serde_json::to_string(
-                    &crate::models::SsePayload::Error { message: msg }
-                ).ok()?;
+                let payload =
+                    serde_json::to_string(&crate::models::SsePayload::Error { message: msg })
+                        .ok()?;
                 Event::default().event("error").data(payload)
             }
             Err(_) => return None, // lagged / channel closed
@@ -264,10 +297,7 @@ pub async fn stream_job(
         (status = 409, description = "Job already finished"),
     )
 )]
-pub async fn delete_job(
-    State(state): State<AppState>,
-    Path(id):     Path<JobId>,
-) -> Result<Json<Job>> {
+pub async fn delete_job(State(state): State<AppState>, Path(id): Path<JobId>) -> Result<Json<Job>> {
     let mut job = state.storage.get(&id).await?;
 
     match job.status {
@@ -280,7 +310,7 @@ pub async fn delete_job(
         _ => {}
     }
 
-    job.status       = JobStatus::Cancelled;
+    job.status = JobStatus::Cancelled;
     job.completed_at = Some(Utc::now());
     state.storage.save(&job).await?;
 

src/routes/mod.rs

@@ -2,27 +2,33 @@ pub mod health;
 pub mod jobs;
 pub mod model;
 
-use axum::{extract::DefaultBodyLimit, routing::{delete, get, post}, Router};
 use crate::AppState;
+use axum::{
+    extract::DefaultBodyLimit,
+    routing::{delete, get, post},
+    Router,
+};
 
 pub fn jobs_router() -> Router<AppState> {
     Router::new()
         // No body limit on the upload route — files can be multiple GB.
-        .route("/jobs", post(jobs::submit_job).layer(DefaultBodyLimit::disable()))
-        .route("/jobs/:id",        get(jobs::get_job))
+        .route(
+            "/jobs",
+            post(jobs::submit_job).layer(DefaultBodyLimit::disable()),
+        )
+        .route("/jobs/:id", get(jobs::get_job))
         .route("/jobs/:id/stream", get(jobs::stream_job))
-        .route("/jobs/:id",        delete(jobs::delete_job))
+        .route("/jobs/:id", delete(jobs::delete_job))
 }
 
 pub fn health_router() -> Router<AppState> {
-    Router::new()
-        .route("/health", get(health::health))
+    Router::new().route("/health", get(health::health))
 }
 
 pub fn model_router() -> Router<AppState> {
     Router::new()
         .route("/model/status", get(model::model_status))
-        .route("/model/load",   post(model::model_load))
+        .route("/model/load", post(model::model_load))
         .route("/model/unload", post(model::model_unload))
         .route("/model/events", get(model::model_events))
 }

src/routes/model.rs

@@ -10,8 +10,8 @@ use axum::{
     Json,
 };
 use futures::Stream;
-use tokio_stream::wrappers::BroadcastStream;
 use futures::StreamExt;
+use tokio_stream::wrappers::BroadcastStream;
 
 use crate::{
     models::{ModelEvent, ModelStatusResponse},
@@ -19,7 +19,8 @@ use crate::{
     AppState, Result,
 };
 
-type SseStream = Pin<Box<dyn Stream<Item = std::result::Result<Event, std::convert::Infallible>> + Send>>;
+type SseStream =
+    Pin<Box<dyn Stream<Item = std::result::Result<Event, std::convert::Infallible>> + Send>>;
 
 // ── GET /model/status ────────────────────────────────────────────────────────
 
@@ -61,11 +62,17 @@ pub async fn model_status(State(state): State<AppState>) -> Result<Json<ModelSta
 pub async fn model_load(State(state): State<AppState>) -> impl IntoResponse {
     let is_ready = state.model_state.read().await.is_ready();
     if is_ready {
-        return (StatusCode::OK, Json(serde_json::json!({"status": "already_ready"})));
+        return (
+            StatusCode::OK,
+            Json(serde_json::json!({"status": "already_ready"})),
+        );
     }
     // Ignore send errors (channel full = load already in progress).
     let _ = state.cmd_tx.try_send(WorkerCmd::Load);
-    (StatusCode::ACCEPTED, Json(serde_json::json!({"status": "load_initiated"})))
+    (
+        StatusCode::ACCEPTED,
+        Json(serde_json::json!({"status": "load_initiated"})),
+    )
 }
 
 // ── POST /model/unload ───────────────────────────────────────────────────────
@@ -82,7 +89,10 @@ pub async fn model_load(State(state): State<AppState>) -> impl IntoResponse {
 )]
 pub async fn model_unload(State(state): State<AppState>) -> impl IntoResponse {
     let _ = state.cmd_tx.try_send(WorkerCmd::Unload);
-    (StatusCode::OK, Json(serde_json::json!({"status": "unload_requested"})))
+    (
+        StatusCode::OK,
+        Json(serde_json::json!({"status": "unload_requested"})),
+    )
 }
 
 // ── GET /model/events ────────────────────────────────────────────────────────
@@ -105,23 +115,21 @@ pub async fn model_unload(State(state): State<AppState>) -> impl IntoResponse {
 pub async fn model_events(State(state): State<AppState>) -> Sse<SseStream> {
     let rx = state.model_event_tx.subscribe();
 
-    let stream: SseStream = Box::pin(
-        BroadcastStream::new(rx).filter_map(|msg| async move {
-            match msg {
-                Ok(event) => {
-                    let event_type = match &event {
-                        ModelEvent::ModelReady { .. }       => "model_ready",
-                        ModelEvent::ModelUnloaded           => "model_unloaded",
-                        ModelEvent::ModelLoading            => "model_loading",
-                        ModelEvent::ModelWaitingForGpu {..} => "model_waiting_for_gpu",
-                    };
-                    let data = serde_json::to_string(&event).ok()?;
-                    Some(Ok(Event::default().event(event_type).data(data)))
-                }
-                Err(_) => None,
+    let stream: SseStream = Box::pin(BroadcastStream::new(rx).filter_map(|msg| async move {
+        match msg {
+            Ok(event) => {
+                let event_type = match &event {
+                    ModelEvent::ModelReady { .. } => "model_ready",
+                    ModelEvent::ModelUnloaded => "model_unloaded",
+                    ModelEvent::ModelLoading => "model_loading",
+                    ModelEvent::ModelWaitingForGpu { .. } => "model_waiting_for_gpu",
+                };
+                let data = serde_json::to_string(&event).ok()?;
+                Some(Ok(Event::default().event(event_type).data(data)))
             }
-        })
-    );
+            Err(_) => None,
+        }
+    }));
 
     Sse::new(stream).keep_alive(KeepAlive::default())
 }
@@ -146,13 +154,13 @@ fn vram_stats(gpu_device: u32) -> (Option<u64>, Option<u64>) {
         let line = String::from_utf8_lossy(&out.stdout);
         let line = line.trim();
         let mut parts = line.splitn(2, ',');
-        let used  = parts.next().and_then(|s| s.trim().parse::<u64>().ok())?;
+        let used = parts.next().and_then(|s| s.trim().parse::<u64>().ok())?;
         let total = parts.next().and_then(|s| s.trim().parse::<u64>().ok())?;
         Some((used, total))
     }
 
     match inner(gpu_device) {
         Some((u, t)) => (Some(u), Some(t)),
-        None         => (None, None),
+        None => (None, None),
     }
 }

src/storage.rs

@@ -30,20 +30,20 @@ impl Storage {
     // ── CRUD ─────────────────────────────────────────────────────────────────
 
     pub async fn create(&self, job: &Job) -> Result<()> {
-        let path    = self.job_path(&job.id);
-        let payload = serde_json::to_vec_pretty(job)
-            .map_err(|e| AppError::Internal(e.to_string()))?;
-        fs::write(&path, payload).await.map_err(|e| {
-            AppError::Internal(format!("failed to write job {}: {e}", job.id))
-        })?;
+        let path = self.job_path(&job.id);
+        let payload =
+            serde_json::to_vec_pretty(job).map_err(|e| AppError::Internal(e.to_string()))?;
+        fs::write(&path, payload)
+            .await
+            .map_err(|e| AppError::Internal(format!("failed to write job {}: {e}", job.id)))?;
         Ok(())
     }
 
     pub async fn get(&self, id: &JobId) -> Result<Job> {
         let path = self.job_path(id);
-        let raw  = fs::read(&path).await.map_err(|_| {
-            AppError::NotFound(format!("job {id} not found"))
-        })?;
+        let raw = fs::read(&path)
+            .await
+            .map_err(|_| AppError::NotFound(format!("job {id} not found")))?;
         serde_json::from_slice(&raw).map_err(|e| AppError::Internal(e.to_string()))
     }
 
@@ -54,22 +54,24 @@ impl Storage {
 
     pub async fn delete(&self, id: &JobId) -> Result<()> {
         let path = self.job_path(id);
-        fs::remove_file(&path).await.map_err(|_| {
-            AppError::NotFound(format!("job {id} not found"))
-        })?;
+        fs::remove_file(&path)
+            .await
+            .map_err(|_| AppError::NotFound(format!("job {id} not found")))?;
         Ok(())
     }
 
     /// List all job IDs present on disk.
     pub async fn list_ids(&self) -> Result<Vec<JobId>> {
-        let mut entries = fs::read_dir(&self.dir).await.map_err(|e| {
-            AppError::Internal(format!("read_dir failed: {e}"))
-        })?;
+        let mut entries = fs::read_dir(&self.dir)
+            .await
+            .map_err(|e| AppError::Internal(format!("read_dir failed: {e}")))?;
 
         let mut ids = Vec::new();
-        while let Some(entry) = entries.next_entry().await.map_err(|e| {
-            AppError::Internal(e.to_string())
-        })? {
+        while let Some(entry) = entries
+            .next_entry()
+            .await
+            .map_err(|e| AppError::Internal(e.to_string()))?
+        {
             let name = entry.file_name();
             let name = name.to_string_lossy();
             if let Some(stem) = name.strip_suffix(".json") {
@@ -88,8 +90,8 @@ impl Storage {
             if let Ok(mut job) = self.get(&id).await {
                 if job.status == JobStatus::Running {
                     tracing::warn!(job_id = %id, "recovering interrupted job → failed");
-                    job.status       = JobStatus::Failed;
-                    job.error        = Some("server restarted while job was running".into());
+                    job.status = JobStatus::Failed;
+                    job.error = Some("server restarted while job was running".into());
                     job.completed_at = Some(chrono::Utc::now());
                     let _ = self.save(&job).await;
                 }

src/transcriber.rs

@@ -37,9 +37,10 @@ impl Transcriber {
     /// 0 segments. The warmup forces kernel compilation at startup so all subsequent
     /// jobs run correctly from the very first request.
     pub fn load(model_path: impl AsRef<Path>, gpu_device: u32) -> Result<Self> {
-        let path = model_path.as_ref().to_str().ok_or_else(|| {
-            AppError::Internal("model path is not valid UTF-8".into())
-        })?;
+        let path = model_path
+            .as_ref()
+            .to_str()
+            .ok_or_else(|| AppError::Internal("model path is not valid UTF-8".into()))?;
 
         let mut params = WhisperContextParameters::new();
         params.use_gpu(true);
@@ -48,25 +49,23 @@ impl Transcriber {
         // real-world audio (conference recordings, noisy MP3s).
         // params.flash_attn(true);
 
-        let ctx = WhisperContext::new_with_params(path, params)
-            .map_err(|e| {
-                let msg = format!("failed to load model: {e}");
-                if AppError::is_oom(&msg) {
-                    AppError::OutOfMemory(msg)
-                } else {
-                    AppError::Internal(msg)
-                }
-            })?;
+        let ctx = WhisperContext::new_with_params(path, params).map_err(|e| {
+            let msg = format!("failed to load model: {e}");
+            if AppError::is_oom(&msg) {
+                AppError::OutOfMemory(msg)
+            } else {
+                AppError::Internal(msg)
+            }
+        })?;
 
-        let mut state = ctx.create_state()
-            .map_err(|e| {
-                let msg = format!("failed to create whisper state: {e}");
-                if AppError::is_oom(&msg) {
-                    AppError::OutOfMemory(msg)
-                } else {
-                    AppError::Internal(msg)
-                }
-            })?;
+        let mut state = ctx.create_state().map_err(|e| {
+            let msg = format!("failed to create whisper state: {e}");
+            if AppError::is_oom(&msg) {
+                AppError::OutOfMemory(msg)
+            } else {
+                AppError::Internal(msg)
+            }
+        })?;
         // ctx drops here; state holds Arc<WhisperInnerContext> so model stays loaded.
 
         // ── GPU warmup ────────────────────────────────────────────────────────
@@ -95,16 +94,16 @@ impl Transcriber {
     /// `no_context=true` in the params prevents KV-cache contamination between chunks.
     pub fn transcribe(
         &mut self,
-        pcm:         &[f32],
-        language:    Option<&str>,
-        task:        &str,
+        pcm: &[f32],
+        language: Option<&str>,
+        task: &str,
         on_progress: impl Fn(u8) + Send + 'static,
     ) -> Result<(Vec<Segment>, String)> {
         let state = &mut self.state;
 
         let mut fp = FullParams::new(SamplingStrategy::BeamSearch {
             beam_size: 5,
-            patience:  1.0,
+            patience: 1.0,
         });
 
         fp.set_n_threads(num_cpus::get() as i32);
@@ -158,40 +157,55 @@ impl Transcriber {
             .full(fp, pcm)
             .map_err(|e| AppError::Internal(format!("transcription failed: {e}")))?;
 
-        let n_segments = state.full_n_segments()
+        let n_segments = state
+            .full_n_segments()
             .map_err(|e| AppError::Internal(e.to_string()))?;
 
         let mut segments = Vec::with_capacity(n_segments as usize);
 
         for i in 0..n_segments {
-            let text  = state.full_get_segment_text(i)
+            let text = state
+                .full_get_segment_text(i)
                 .map_err(|e| AppError::Internal(e.to_string()))?;
-            let start = state.full_get_segment_t0(i)
-                .map_err(|e| AppError::Internal(e.to_string()))? as f32 / 100.0;
-            let end   = state.full_get_segment_t1(i)
-                .map_err(|e| AppError::Internal(e.to_string()))? as f32 / 100.0;
+            let start = state
+                .full_get_segment_t0(i)
+                .map_err(|e| AppError::Internal(e.to_string()))? as f32
+                / 100.0;
+            let end = state
+                .full_get_segment_t1(i)
+                .map_err(|e| AppError::Internal(e.to_string()))? as f32
+                / 100.0;
 
-            let n_tokens = state.full_n_tokens(i)
+            let n_tokens = state
+                .full_n_tokens(i)
                 .map_err(|e| AppError::Internal(e.to_string()))?;
 
             let mut words = Vec::new();
             for t in 0..n_tokens {
-                let token_text = state.full_get_token_text(i, t)
+                let token_text = state
+                    .full_get_token_text(i, t)
                     .map_err(|e| AppError::Internal(e.to_string()))?;
                 if token_text.starts_with('[') {
                     continue; // skip special tokens ([MUSIC], [APPLAUSE], etc.)
                 }
-                let data = state.full_get_token_data(i, t)
+                let data = state
+                    .full_get_token_data(i, t)
                     .map_err(|e| AppError::Internal(e.to_string()))?;
                 words.push(Word {
-                    text:        token_text,
-                    start:       data.t0 as f32 / 100.0,
-                    end:         data.t1 as f32 / 100.0,
+                    text: token_text,
+                    start: data.t0 as f32 / 100.0,
+                    end: data.t1 as f32 / 100.0,
                     probability: data.p,
                 });
             }
 
-            segments.push(Segment { index: i, start, end, text, words });
+            segments.push(Segment {
+                index: i,
+                start,
+                end,
+                text,
+                words,
+            });
         }
 
         let lang = state

src/worker.rs

@@ -16,8 +16,7 @@ use crate::{
     models::{Job, JobId, JobStatus, ModelEvent, ModelState, Segment},
     storage::Storage,
     transcriber::Transcriber,
-    webhook,
-    AppError,
+    webhook, AppError,
 };
 
 /// Per-job broadcast channel for SSE subscribers.
@@ -26,7 +25,11 @@ pub type ProgressTx = broadcast::Sender<ProgressEvent>;
 #[derive(Debug, Clone)]
 pub enum ProgressEvent {
     /// `percent` — overall 0–100; `chunk` — 1-based; `total` — total chunks.
-    Progress { percent: u8, chunk: usize, total: usize },
+    Progress {
+        percent: u8,
+        chunk: usize,
+        total: usize,
+    },
     Done(Box<Job>),
     Error(String),
 }
@@ -50,11 +53,11 @@ pub enum WorkerCmd {
 // ── Transcription request/response types ─────────────────────────────────────
 
 pub struct TranscribeRequest {
-    pub pcm:         Vec<f32>,
-    pub language:    Option<String>,
-    pub task:        String,
+    pub pcm: Vec<f32>,
+    pub language: Option<String>,
+    pub task: String,
     pub on_progress: Box<dyn Fn(u8) + Send + 'static>,
-    pub reply:       oneshot::Sender<crate::Result<(Vec<Segment>, String)>>,
+    pub reply: oneshot::Sender<crate::Result<(Vec<Segment>, String)>>,
 }
 
 impl std::fmt::Debug for TranscribeRequest {
@@ -75,15 +78,15 @@ impl std::fmt::Debug for TranscribeRequest {
 /// trigger loading.
 #[allow(clippy::too_many_arguments)]
 pub fn start(
-    job_rx:           mpsc::UnboundedReceiver<JobId>,
-    storage:          Arc<Storage>,
-    model_path:       PathBuf,
-    queue_depth:      Arc<AtomicUsize>,
-    gpu_device:       u32,
-    model_state:      Arc<RwLock<ModelState>>,
-    model_event_tx:   broadcast::Sender<ModelEvent>,
+    job_rx: mpsc::UnboundedReceiver<JobId>,
+    storage: Arc<Storage>,
+    model_path: PathBuf,
+    queue_depth: Arc<AtomicUsize>,
+    gpu_device: u32,
+    model_state: Arc<RwLock<ModelState>>,
+    model_event_tx: broadcast::Sender<ModelEvent>,
     webhook_registry: Arc<Mutex<HashSet<String>>>,
-    idle_timeout:     Duration,
+    idle_timeout: Duration,
     gpu_poll_interval: Duration,
 ) -> (ProgressRegistry, std::sync::mpsc::SyncSender<WorkerCmd>) {
     let registry: ProgressRegistry = Arc::new(dashmap::DashMap::new());
@@ -126,15 +129,15 @@ pub fn start(
 /// separate thread.
 #[allow(clippy::too_many_arguments)]
 fn transcriber_thread(
-    rx:               std::sync::mpsc::Receiver<WorkerCmd>,
-    model_path:       PathBuf,
-    gpu_device:       u32,
-    model_state:      Arc<RwLock<ModelState>>,
-    model_event_tx:   broadcast::Sender<ModelEvent>,
+    rx: std::sync::mpsc::Receiver<WorkerCmd>,
+    model_path: PathBuf,
+    gpu_device: u32,
+    model_state: Arc<RwLock<ModelState>>,
+    model_event_tx: broadcast::Sender<ModelEvent>,
     webhook_registry: Arc<Mutex<HashSet<String>>>,
-    idle_timeout:     Duration,
+    idle_timeout: Duration,
     gpu_poll_interval: Duration,
-    rt:               tokio::runtime::Handle,
+    rt: tokio::runtime::Handle,
 ) {
     let mut transcriber: Option<Transcriber> = None;
     let mut last_job = Instant::now();
@@ -162,14 +165,22 @@ fn transcriber_thread(
             }
 
             Ok(WorkerCmd::Unload) => {
-                do_unload(&mut transcriber, &model_state, &model_event_tx, &webhook_registry, &rt);
+                do_unload(
+                    &mut transcriber,
+                    &model_state,
+                    &model_event_tx,
+                    &webhook_registry,
+                    &rt,
+                );
             }
 
             Ok(WorkerCmd::Transcribe(req)) => {
                 let t = match &mut transcriber {
                     Some(t) => t,
                     None => {
-                        tracing::warn!("Transcribe cmd received but model is unloaded — failing job");
+                        tracing::warn!(
+                            "Transcribe cmd received but model is unloaded — failing job"
+                        );
                         let _ = req.reply.send(Err(AppError::Internal(
                             "model unloaded before job could run".into(),
                         )));
@@ -177,12 +188,9 @@ fn transcriber_thread(
                     }
                 };
 
-                let result = t.transcribe(
-                    &req.pcm,
-                    req.language.as_deref(),
-                    &req.task,
-                    move |p| (req.on_progress)(p),
-                );
+                let result = t.transcribe(&req.pcm, req.language.as_deref(), &req.task, move |p| {
+                    (req.on_progress)(p)
+                });
                 last_job = Instant::now();
                 let _ = req.reply.send(result);
             }
@@ -218,14 +226,14 @@ fn transcriber_thread(
 /// rejection. Returns `Some(Transcriber)` on success, `None` if cancelled.
 #[allow(clippy::too_many_arguments)]
 fn try_load_with_polling(
-    rx:               &std::sync::mpsc::Receiver<WorkerCmd>,
-    model_path:       &PathBuf,
-    gpu_device:       u32,
-    model_state:      &Arc<RwLock<ModelState>>,
-    model_event_tx:   &broadcast::Sender<ModelEvent>,
+    rx: &std::sync::mpsc::Receiver<WorkerCmd>,
+    model_path: &PathBuf,
+    gpu_device: u32,
+    model_state: &Arc<RwLock<ModelState>>,
+    model_event_tx: &broadcast::Sender<ModelEvent>,
     webhook_registry: &Arc<Mutex<HashSet<String>>>,
     gpu_poll_interval: Duration,
-    rt:               &tokio::runtime::Handle,
+    rt: &tokio::runtime::Handle,
 ) -> Option<Transcriber> {
     loop {
         set_state(model_state, ModelState::Loading);
@@ -253,25 +261,35 @@ fn try_load_with_polling(
                     "insufficient VRAM — will retry"
                 );
 
-                set_state(model_state, ModelState::WaitingForGpu {
-                    vram_needed_mb,
-                    vram_free_mb,
-                    retry_in_secs,
-                });
-                broadcast_event(model_event_tx, ModelEvent::ModelWaitingForGpu {
-                    vram_needed_mb,
-                    vram_free_mb,
-                    retry_in_secs,
-                });
+                set_state(
+                    model_state,
+                    ModelState::WaitingForGpu {
+                        vram_needed_mb,
+                        vram_free_mb,
+                        retry_in_secs,
+                    },
+                );
+                broadcast_event(
+                    model_event_tx,
+                    ModelEvent::ModelWaitingForGpu {
+                        vram_needed_mb,
+                        vram_free_mb,
+                        retry_in_secs,
+                    },
+                );
 
                 // Interruptible sleep: drain rx while waiting for gpu_poll_interval.
                 let deadline = Instant::now() + gpu_poll_interval;
                 loop {
                     let remaining = deadline.saturating_duration_since(Instant::now());
-                    if remaining.is_zero() { break; }
+                    if remaining.is_zero() {
+                        break;
+                    }
                     match rx.recv_timeout(remaining.min(Duration::from_secs(1))) {
                         Ok(WorkerCmd::Unload) => {
-                            tracing::info!("Unload received while waiting for GPU — cancelling load");
+                            tracing::info!(
+                                "Unload received while waiting for GPU — cancelling load"
+                            );
                             set_state(model_state, ModelState::Unloaded);
                             broadcast_event(model_event_tx, ModelEvent::ModelUnloaded);
                             fire_webhooks(webhook_registry, ModelEvent::ModelUnloaded, rt);
@@ -303,11 +321,11 @@ fn try_load_with_polling(
 }
 
 fn do_unload(
-    transcriber:      &mut Option<Transcriber>,
-    model_state:      &Arc<RwLock<ModelState>>,
-    model_event_tx:   &broadcast::Sender<ModelEvent>,
+    transcriber: &mut Option<Transcriber>,
+    model_state: &Arc<RwLock<ModelState>>,
+    model_event_tx: &broadcast::Sender<ModelEvent>,
     webhook_registry: &Arc<Mutex<HashSet<String>>>,
-    rt:               &tokio::runtime::Handle,
+    rt: &tokio::runtime::Handle,
 ) {
     *transcriber = None;
     set_state(model_state, ModelState::Unloaded);
@@ -328,8 +346,8 @@ fn broadcast_event(tx: &broadcast::Sender<ModelEvent>, event: ModelEvent) {
 
 fn fire_webhooks(
     registry: &Arc<Mutex<HashSet<String>>>,
-    event:    ModelEvent,
-    rt:       &tokio::runtime::Handle,
+    event: ModelEvent,
+    rt: &tokio::runtime::Handle,
 ) {
     if !event.is_webhook_event() {
         return;
@@ -341,11 +359,16 @@ fn fire_webhooks(
         .cloned()
         .collect();
 
-    if urls.is_empty() { return; }
+    if urls.is_empty() {
+        return;
+    }
 
     let payload = match serde_json::to_string(&event) {
-        Ok(p)  => p,
-        Err(e) => { tracing::error!(error = %e, "failed to serialize model event"); return; }
+        Ok(p) => p,
+        Err(e) => {
+            tracing::error!(error = %e, "failed to serialize model event");
+            return;
+        }
     };
 
     for url in urls {
@@ -356,7 +379,8 @@ fn fire_webhooks(
                 .build()
                 .expect("http client");
             for attempt in 0..3_u32 {
-                match http.post(&url)
+                match http
+                    .post(&url)
                     .header("content-type", "application/json")
                     .body(body.clone())
                     .send()
@@ -405,11 +429,11 @@ fn parse_oom_vram(msg: &str, gpu_device: u32) -> (u64, u64) {
 // ── Async job runner ──────────────────────────────────────────────────────────
 
 async fn run(
-    mut job_rx:  mpsc::UnboundedReceiver<JobId>,
-    storage:     Arc<Storage>,
+    mut job_rx: mpsc::UnboundedReceiver<JobId>,
+    storage: Arc<Storage>,
     queue_depth: Arc<AtomicUsize>,
-    registry:    ProgressRegistry,
-    cmd_tx:      std::sync::mpsc::SyncSender<WorkerCmd>,
+    registry: ProgressRegistry,
+    cmd_tx: std::sync::mpsc::SyncSender<WorkerCmd>,
 ) {
     let http = Client::builder()
         .timeout(Duration::from_secs(30))
@@ -420,7 +444,7 @@ async fn run(
         queue_depth.fetch_sub(1, Ordering::Relaxed);
 
         let mut job = match storage.get(&job_id).await {
-            Ok(j)  => j,
+            Ok(j) => j,
             Err(e) => {
                 tracing::warn!(job_id = %job_id, error = %e, "job vanished before processing");
                 registry.remove(&job_id);
@@ -461,19 +485,19 @@ async fn run(
 
         match result {
             Ok((segments, language, duration_secs)) => {
-                job.status        = JobStatus::Done;
-                job.segments      = segments;
-                job.language      = Some(language);
+                job.status = JobStatus::Done;
+                job.segments = segments;
+                job.language = Some(language);
                 job.duration_secs = Some(duration_secs);
-                job.progress      = 100;
-                job.completed_at  = Some(Utc::now());
+                job.progress = 100;
+                job.completed_at = Some(Utc::now());
                 let _ = progress_tx.send(ProgressEvent::Done(Box::new(job.clone())));
             }
             Err(e) => {
                 let msg = e.to_string();
                 tracing::error!(job_id = %job_id, error = %msg, "transcription failed");
-                job.status       = JobStatus::Failed;
-                job.error        = Some(msg.clone());
+                job.status = JobStatus::Failed;
+                job.error = Some(msg.clone());
                 job.completed_at = Some(Utc::now());
                 let _ = progress_tx.send(ProgressEvent::Error(msg));
             }
@@ -485,9 +509,11 @@ async fn run(
 
         if let Some(url) = &job.webhook_url.clone() {
             let http = http.clone();
-            let url  = url.clone();
-            let job  = job.clone();
-            tokio::spawn(async move { webhook::fire(&http, &url, &job).await; });
+            let url = url.clone();
+            let job = job.clone();
+            tokio::spawn(async move {
+                webhook::fire(&http, &url, &job).await;
+            });
         }
 
         tokio::time::sleep(Duration::from_secs(30)).await;
@@ -498,9 +524,9 @@ async fn run(
 // ── Silence-based chunking ────────────────────────────────────────────────────
 
 const TARGET_CHUNK_SECS: f32 = 60.0;
-const SNAP_WINDOW_SECS:  f32 = 30.0;
-const SILENCE_DB:        &str = "-35dB";
-const SILENCE_DUR:       &str = "0.4";
+const SNAP_WINDOW_SECS: f32 = 30.0;
+const SILENCE_DB: &str = "-35dB";
+const SILENCE_DUR: &str = "0.4";
 
 async fn detect_silence_midpoints(path: &std::path::Path) -> Vec<f32> {
     use tokio::process::Command;
@@ -509,15 +535,19 @@ async fn detect_silence_midpoints(path: &std::path::Path) -> Vec<f32> {
     let output = Command::new("ffmpeg")
         .args([
             "-nostdin",
-            "-i", path.to_str().unwrap_or(""),
-            "-af", &filter,
-            "-f", "null", "-",
+            "-i",
+            path.to_str().unwrap_or(""),
+            "-af",
+            &filter,
+            "-f",
+            "null",
+            "-",
         ])
         .output()
         .await;
 
     let output = match output {
-        Ok(o)  => o,
+        Ok(o) => o,
         Err(e) => {
             tracing::warn!(error = %e, "silencedetect unavailable; using hard cuts");
             return Vec::new();
@@ -526,7 +556,7 @@ async fn detect_silence_midpoints(path: &std::path::Path) -> Vec<f32> {
 
     let stderr = String::from_utf8_lossy(&output.stderr);
     let mut starts: Vec<f32> = Vec::new();
-    let mut ends:   Vec<f32> = Vec::new();
+    let mut ends: Vec<f32> = Vec::new();
 
     for line in stderr.lines() {
         if let Some(i) = line.find("silence_start: ") {
@@ -545,7 +575,9 @@ async fn detect_silence_midpoints(path: &std::path::Path) -> Vec<f32> {
         }
     }
 
-    let mids: Vec<f32> = starts.iter().zip(ends.iter())
+    let mids: Vec<f32> = starts
+        .iter()
+        .zip(ends.iter())
         .map(|(s, e)| (s + e) / 2.0)
         .collect();
 
@@ -553,18 +585,15 @@ async fn detect_silence_midpoints(path: &std::path::Path) -> Vec<f32> {
     mids
 }
 
-fn snap_to_silence(
-    mids:        &[f32],
-    total_secs:  f32,
-    target_secs: f32,
-    snap_window: f32,
-) -> Vec<f32> {
+fn snap_to_silence(mids: &[f32], total_secs: f32, target_secs: f32, snap_window: f32) -> Vec<f32> {
     let mut cuts: Vec<f32> = Vec::new();
     let mut pos = target_secs;
 
     while pos < total_secs - target_secs * 0.25 {
         let prev_cut = cuts.last().copied().unwrap_or(0.0);
-        let best = mids.iter().copied()
+        let best = mids
+            .iter()
+            .copied()
             .filter(|&t| t > prev_cut + 10.0 && (t - pos).abs() <= snap_window)
             .min_by(|a, b| (a - pos).abs().partial_cmp(&(b - pos).abs()).unwrap());
         let cut = best.unwrap_or(pos);
@@ -591,20 +620,165 @@ fn to_chunk_ranges(cuts: &[f32], total_secs: f32) -> Vec<(f32, f32)> {
     ranges
 }
 
+const MAX_CHAIN_GAP_SECS: f32 = 0.15;
+const MIN_MEANINGFUL_WORDS: usize = 2;
+const MIN_MEANINGFUL_CHARS: usize = 8;
+const MIN_OVERLAP_WORDS: usize = 3;
+
+fn normalised_words(text: &str) -> Vec<String> {
+    text.split_whitespace()
+        .map(|word| {
+            word.chars()
+                .filter(|ch| ch.is_alphanumeric() || *ch == '_')
+                .flat_map(|ch| ch.to_lowercase())
+                .collect::<String>()
+        })
+        .filter(|word| !word.is_empty())
+        .collect()
+}
+
+fn starts_with_words(full: &[String], prefix: &[String]) -> bool {
+    prefix.len() <= full.len() && full.iter().take(prefix.len()).eq(prefix.iter())
+}
+
+fn ends_with_words(full: &[String], suffix: &[String]) -> bool {
+    suffix.len() <= full.len()
+        && full
+            .iter()
+            .skip(full.len() - suffix.len())
+            .eq(suffix.iter())
+}
+
+fn suffix_prefix_overlap(left: &[String], right: &[String]) -> usize {
+    let max = left.len().min(right.len());
+    for size in (1..=max).rev() {
+        if left[left.len() - size..] == right[..size] {
+            return size;
+        }
+    }
+    0
+}
+
+fn is_meaningful_phrase(words: &[String]) -> bool {
+    words.len() >= MIN_MEANINGFUL_WORDS
+        && words.iter().map(|word| word.len()).sum::<usize>() >= MIN_MEANINGFUL_CHARS
+}
+
+fn trim_leading_words(text: &str, count: usize) -> String {
+    text.split_whitespace()
+        .skip(count)
+        .collect::<Vec<_>>()
+        .join(" ")
+        .trim()
+        .to_string()
+}
+
+fn merge_identical_segments(segments: Vec<Segment>) -> Vec<Segment> {
+    let mut out: Vec<Segment> = Vec::with_capacity(segments.len());
+
+    for seg in segments {
+        if let Some(last) = out.last_mut() {
+            if normalised_words(&last.text) == normalised_words(&seg.text) {
+                last.end = last.end.max(seg.end);
+                if !seg.words.is_empty() {
+                    last.words = seg.words;
+                }
+                continue;
+            }
+        }
+        out.push(seg);
+    }
+
+    out
+}
+
+fn collapse_incremental_segments(segments: Vec<Segment>) -> Vec<Segment> {
+    let mut out: Vec<Segment> = Vec::with_capacity(segments.len());
+
+    for mut seg in segments {
+        seg.text = seg.text.trim().to_string();
+        if seg.text.is_empty() {
+            continue;
+        }
+
+        let Some(last) = out.last_mut() else {
+            out.push(seg);
+            continue;
+        };
+
+        let gap = seg.start - last.end;
+        if gap > MAX_CHAIN_GAP_SECS {
+            out.push(seg);
+            continue;
+        }
+
+        let last_words = normalised_words(&last.text);
+        let seg_words = normalised_words(&seg.text);
+        if last_words.is_empty() || seg_words.is_empty() {
+            out.push(seg);
+            continue;
+        }
+
+        if seg_words.len() > last_words.len()
+            && starts_with_words(&seg_words, &last_words)
+            && is_meaningful_phrase(&last_words)
+        {
+            last.text = seg.text;
+            last.end = seg.end;
+            last.words = seg.words;
+            continue;
+        }
+
+        if ends_with_words(&last_words, &seg_words) && is_meaningful_phrase(&seg_words) {
+            last.end = last.end.max(seg.end);
+            continue;
+        }
+
+        let overlap = suffix_prefix_overlap(&last_words, &seg_words);
+        if overlap >= MIN_OVERLAP_WORDS {
+            let trimmed_text = trim_leading_words(&seg.text, overlap);
+            if trimmed_text.is_empty() {
+                last.end = last.end.max(seg.end);
+                continue;
+            }
+
+            seg.start = seg.start.max(last.end);
+            seg.text = trimmed_text;
+            seg.words.clear();
+        }
+
+        out.push(seg);
+    }
+
+    out
+}
+
+fn normalise_segments(segments: Vec<Segment>) -> Vec<Segment> {
+    let mut result = collapse_incremental_segments(segments);
+    result = merge_identical_segments(result);
+    result = collapse_incremental_segments(result);
+    merge_identical_segments(result)
+}
+
 // ── Job processing ────────────────────────────────────────────────────────────
 
 async fn process_job(
-    job:         &Job,
-    audio_path:  &std::path::Path,
+    job: &Job,
+    audio_path: &std::path::Path,
     progress_tx: &ProgressTx,
-    cmd_tx:      &std::sync::mpsc::SyncSender<WorkerCmd>,
-    storage:     &Arc<Storage>,
+    cmd_tx: &std::sync::mpsc::SyncSender<WorkerCmd>,
+    storage: &Arc<Storage>,
 ) -> crate::Result<(Vec<Segment>, String, f32)> {
     let pcm = decode_audio(audio_path).await?;
     let total_secs = pcm.len() as f32 / 16_000.0;
 
     let silence_mids = detect_silence_midpoints(audio_path).await;
-    let cuts   = snap_to_silence(&silence_mids, total_secs, TARGET_CHUNK_SECS, SNAP_WINDOW_SECS);
+    let cuts = snap_to_silence(
+        &silence_mids,
+        total_secs,
+        TARGET_CHUNK_SECS,
+        SNAP_WINDOW_SECS,
+    );
     let chunks = to_chunk_ranges(&cuts, total_secs);
     let n = chunks.len();
 
@@ -620,12 +794,12 @@ async fn process_job(
 
     for (ci, (chunk_start, chunk_end)) in chunks.iter().enumerate() {
         let s0 = (*chunk_start * 16_000.0) as usize;
-        let s1 = ((*chunk_end   * 16_000.0) as usize).min(pcm.len());
+        let s1 = ((*chunk_end * 16_000.0) as usize).min(pcm.len());
         let mut chunk_pcm = pcm[s0..s1].to_vec();
         trim_trailing_silence(&mut chunk_pcm);
 
-        let base  = (ci * 100 / n) as u8;
-        let span  = (100usize / n).max(1) as u8;
+        let base = (ci * 100 / n) as u8;
+        let span = (100usize / n).max(1) as u8;
 
         // Save progress to disk before emitting SSE — polling clients who respond
         // immediately to the SSE event will then see consistent state.
@@ -637,49 +811,52 @@ async fn process_job(
 
         let _ = progress_tx.send(ProgressEvent::Progress {
             percent: base,
-            chunk:   ci + 1,
-            total:   n,
+            chunk: ci + 1,
+            total: n,
         });
 
-        let tx        = progress_tx.clone();
+        let tx = progress_tx.clone();
         let chunk_num = ci + 1;
         let on_progress = Box::new(move |p: u8| {
             let overall = base.saturating_add(p.saturating_mul(span) / 100);
             let _ = tx.send(ProgressEvent::Progress {
                 percent: overall,
-                chunk:   chunk_num,
-                total:   n,
+                chunk: chunk_num,
+                total: n,
             });
         });
 
         let (reply_tx, reply_rx) = oneshot::channel();
-        cmd_tx.send(WorkerCmd::Transcribe(TranscribeRequest {
-            pcm:      chunk_pcm,
-            language: job.language.clone(),
-            task:     job.task.clone(),
-            on_progress,
-            reply:    reply_tx,
-        })).map_err(|_| AppError::Internal("worker command channel closed".into()))?;
+        cmd_tx
+            .send(WorkerCmd::Transcribe(TranscribeRequest {
+                pcm: chunk_pcm,
+                language: job.language.clone(),
+                task: job.task.clone(),
+                on_progress,
+                reply: reply_tx,
+            }))
+            .map_err(|_| AppError::Internal("worker command channel closed".into()))?;
 
-        let (mut segs, lang) = reply_rx.await
+        let (mut segs, lang) = reply_rx
+            .await
             .map_err(|_| AppError::Internal("transcriber thread dropped reply".into()))??;
 
         let offset = *chunk_start;
         for seg in &mut segs {
             seg.start += offset;
-            seg.end   += offset;
+            seg.end += offset;
             for word in &mut seg.words {
                 word.start += offset;
-                word.end   += offset;
+                word.end += offset;
             }
         }
 
         tracing::debug!(
             chunk = ci + 1,
-            of    = n,
+            of = n,
             start = chunk_start,
-            end   = chunk_end,
-            segs  = segs.len(),
+            end = chunk_end,
+            segs = segs.len(),
             "chunk done"
         );
 
@@ -689,24 +866,30 @@ async fn process_job(
         }
     }
 
+    all_segments = normalise_segments(all_segments);
+
     for (i, seg) in all_segments.iter_mut().enumerate() {
         seg.index = i as i32;
     }
 
-    let _ = progress_tx.send(ProgressEvent::Progress { percent: 100, chunk: n, total: n });
+    let _ = progress_tx.send(ProgressEvent::Progress {
+        percent: 100,
+        chunk: n,
+        total: n,
+    });
     Ok((all_segments, language, total_secs))
 }
 
 fn trim_trailing_silence(pcm: &mut Vec<f32>) {
     const THRESHOLD: f32 = 0.017_8;
-    const PADDING:   usize = 8_000;
+    const PADDING: usize = 8_000;
 
     if let Some(last_loud) = pcm.iter().rposition(|&s| s.abs() > THRESHOLD) {
         let new_len = (last_loud + 1 + PADDING).min(pcm.len());
         if new_len < pcm.len() {
             tracing::trace!(
                 original_samples = pcm.len(),
-                trimmed_samples  = pcm.len() - new_len,
+                trimmed_samples = pcm.len() - new_len,
                 "trimmed trailing silence"
             );
             pcm.truncate(new_len);
@@ -719,11 +902,17 @@ async fn decode_audio(path: &std::path::Path) -> crate::Result<Vec<f32>> {
 
     let output = Command::new("ffmpeg")
         .args([
-            "-nostdin", "-threads", "0",
-            "-i",  path.to_str().unwrap_or(""),
-            "-f",  "f32le",
-            "-ac", "1",
-            "-ar", "16000",
+            "-nostdin",
+            "-threads",
+            "0",
+            "-i",
+            path.to_str().unwrap_or(""),
+            "-f",
+            "f32le",
+            "-ac",
+            "1",
+            "-ar",
+            "16000",
             "-",
         ])
         .output()
@@ -760,13 +949,28 @@ pub fn audio_path_for(id: &JobId) -> PathBuf {
 #[cfg(test)]
 mod tests {
     use super::*;
+    use crate::models::Word;
+
+    fn segment(index: i32, start: f32, end: f32, text: &str) -> Segment {
+        Segment {
+            index,
+            start,
+            end,
+            text: text.into(),
+            words: Vec::<Word>::new(),
+        }
+    }
 
     #[test]
     fn test_snap_to_silence_uses_nearest_midpoint() {
         let mids = vec![55.0, 58.0, 62.0];
         let cuts = snap_to_silence(&mids, 120.0, 60.0, 30.0);
         assert!(!cuts.is_empty());
-        assert!((cuts[0] - 58.0).abs() < 0.01, "expected ~58.0, got {}", cuts[0]);
+        assert!(
+            (cuts[0] - 58.0).abs() < 0.01,
+            "expected ~58.0, got {}",
+            cuts[0]
+        );
     }
 
     #[test]
@@ -801,4 +1005,53 @@ mod tests {
         trim_trailing_silence(&mut pcm);
         assert_eq!(pcm.len(), (10_001 + 8_000).min(32_000));
     }
+
+    #[test]
+    fn test_normalise_segments_collapses_prefix_growth_chain() {
+        let input = vec![
+            segment(0, 15.24, 16.6, "Hello everyone."),
+            segment(1, 16.6, 19.47, "Hello everyone. Um, welcome to this talk."),
+            segment(2, 19.47, 19.48, "Um, welcome to this talk."),
+            segment(
+                3,
+                19.48,
+                21.67,
+                "Um, welcome to this talk. I'll be speaking about small model",
+            ),
+            segment(4, 21.67, 21.68, "I'll be speaking about small model"),
+            segment(
+                5,
+                21.68,
+                24.59,
+                "I'll be speaking about small model inference and a gap that we've",
+            ),
+        ];
+
+        let result = normalise_segments(input);
+
+        assert_eq!(result.len(), 2);
+        assert_eq!(result[0].text, "Hello everyone. Um, welcome to this talk.");
+        assert!((result[0].start - 15.24).abs() < 0.01);
+        assert!((result[0].end - 19.48).abs() < 0.01);
+        assert_eq!(
+            result[1].text,
+            "I'll be speaking about small model inference and a gap that we've"
+        );
+        assert!((result[1].start - 19.48).abs() < 0.01);
+        assert!((result[1].end - 24.59).abs() < 0.01);
+    }
+
+    #[test]
+    fn test_normalise_segments_keeps_real_gap() {
+        let input = vec![
+            segment(0, 0.0, 1.0, "Hello everyone."),
+            segment(1, 2.0, 4.0, "Hello everyone. Welcome back."),
+        ];
+
+        let result = normalise_segments(input);
+
+        assert_eq!(result.len(), 2);
+        assert_eq!(result[0].text, "Hello everyone.");
+        assert_eq!(result[1].text, "Hello everyone. Welcome back.");
+    }
 }