Otel: thread request context through streaming chat path (#129 review)
The legacy SSE streaming path (chat_turn_stream -> run_streaming_turn -> run_bootstrap/continuation_streaming) built its LLM spans from Context::current(), which is always the empty root context here: the codebase threads OTel contexts explicitly and never attaches one, there is no context-aware tokio layer, and the turn runs on a tokio::spawn. So every llm.request span on that path was an orphaned root span, uncorrelated with the HTTP request. Thread the handler's extracted request context down through chat_turn_stream -> chat_turn_stream_inner -> run_streaming_turn -> run_bootstrap_streaming / run_continuation_streaming, and use it for the describe_image and agentic-loop calls. Mirrors the non-streaming path, which already threads parent_cx -> loop_cx. Also rename the block-scoped db 'cx' in run_streaming_turn to db_cx so it no longer shadows the new parameter.
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@@ -1667,10 +1667,12 @@ pub struct ChatSwitchBranchRequest {
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/// Returns `text/event-stream` with one event per chat stream event.
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#[post("/insights/chat/stream")]
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pub async fn chat_stream_handler(
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http_request: HttpRequest,
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claims: Claims,
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request: web::Json<ChatTurnHttpRequest>,
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app_state: web::Data<AppState>,
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) -> HttpResponse {
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let parent_context = extract_context_from_request(&http_request);
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let mut request = request.0;
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// Stored owner defaults fill what the client omitted (request → pref →
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// hard default; the hard default still applies downstream).
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@@ -1716,7 +1718,7 @@ pub async fn chat_stream_handler(
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};
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let service = app_state.insight_chat.clone();
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let events = service.chat_turn_stream(chat_req);
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let events = service.chat_turn_stream(chat_req, parent_context);
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// Map ChatStreamEvent → SSE frame bytes.
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let sse_stream = futures::stream::StreamExt::map(events, |ev| {
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+14
-13
@@ -782,10 +782,11 @@ impl InsightChatService {
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pub fn chat_turn_stream(
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self: Arc<Self>,
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req: ChatTurnRequest,
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cx: opentelemetry::Context,
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) -> BoxStream<'static, ChatStreamEvent> {
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let svc = self;
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let s = async_stream::stream! {
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match svc.chat_turn_stream_inner(req, Ok).await {
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match svc.chat_turn_stream_inner(req, cx, Ok).await {
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Ok(mut rx) => {
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while let Some(ev) = rx.recv().await {
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yield ev;
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@@ -807,6 +808,7 @@ impl InsightChatService {
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async fn chat_turn_stream_inner<F>(
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self: Arc<Self>,
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req: ChatTurnRequest,
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cx: opentelemetry::Context,
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_ev_mapper: F,
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) -> Result<tokio::sync::mpsc::Receiver<ChatStreamEvent>>
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where
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@@ -815,7 +817,7 @@ impl InsightChatService {
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let (tx, rx) = tokio::sync::mpsc::channel::<ChatStreamEvent>(64);
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let svc = self.clone();
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tokio::spawn(async move {
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let result = svc.run_streaming_turn(req, tx.clone()).await;
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let result = svc.run_streaming_turn(req, cx, tx.clone()).await;
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if let Err(e) = result {
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let _ = tx.send(ChatStreamEvent::Error(format!("{}", e))).await;
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}
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@@ -1371,6 +1373,7 @@ impl InsightChatService {
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async fn run_streaming_turn(
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self: Arc<Self>,
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req: ChatTurnRequest,
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cx: opentelemetry::Context,
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tx: tokio::sync::mpsc::Sender<ChatStreamEvent>,
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) -> Result<()> {
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if req.user_message.trim().is_empty() {
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@@ -1400,17 +1403,17 @@ impl InsightChatService {
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// library bootstraps cleanly, even when another library has
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// an insight for the same rel_path.
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let existing_insight = {
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let cx = opentelemetry::Context::new();
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let db_cx = opentelemetry::Context::new();
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let mut dao = self.insight_dao.lock().expect("Unable to lock InsightDao");
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dao.get_current_insight_for_library(&cx, req.library_id, &normalized)
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dao.get_current_insight_for_library(&db_cx, req.library_id, &normalized)
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.map_err(|e| anyhow!("failed to load insight: {:?}", e))?
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};
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if req.regenerate || existing_insight.is_none() {
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return self.run_bootstrap_streaming(req, normalized, tx).await;
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return self.run_bootstrap_streaming(req, normalized, cx, tx).await;
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}
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let insight = existing_insight.expect("just checked Some above");
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self.run_continuation_streaming(req, normalized, insight, tx)
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self.run_continuation_streaming(req, normalized, cx, insight, tx)
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.await
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}
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@@ -1422,6 +1425,7 @@ impl InsightChatService {
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&self,
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req: ChatTurnRequest,
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normalized: String,
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cx: opentelemetry::Context,
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insight: crate::database::models::PhotoInsight,
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tx: tokio::sync::mpsc::Sender<ChatStreamEvent>,
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) -> Result<()> {
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@@ -1519,7 +1523,7 @@ impl InsightChatService {
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&active_persona,
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max_iterations,
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&tx,
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&opentelemetry::Context::current(),
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&cx,
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)
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.await?;
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let AgenticLoopOutcome {
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@@ -1631,6 +1635,7 @@ impl InsightChatService {
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&self,
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req: ChatTurnRequest,
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normalized: String,
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cx: opentelemetry::Context,
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tx: tokio::sync::mpsc::Sender<ChatStreamEvent>,
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) -> Result<()> {
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let active_persona = req
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@@ -1687,11 +1692,7 @@ impl InsightChatService {
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// images_inline backends send images directly to the chat model.
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let visual_block = if !backend.images_inline {
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match image_base64.as_deref() {
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Some(b64) => match backend
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.local()
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.describe_image(&opentelemetry::Context::current(), b64)
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.await
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{
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Some(b64) => match backend.local().describe_image(&cx, b64).await {
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Ok(desc) => {
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format!("Visual description (from local vision model):\n{}\n", desc)
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}
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@@ -1758,7 +1759,7 @@ impl InsightChatService {
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&active_persona,
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max_iterations,
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&tx,
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&opentelemetry::Context::current(),
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&cx,
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)
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.await?;
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let AgenticLoopOutcome {
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