chore: bump sidecar version to 1.0.13 [skip ci]

Files >1 hour are split into 5-minute chunks. Previously each chunk
showed "Starting transcription..." making it look like a restart.
Now shows "Chunk 3/12: Starting transcription..." and
"Chunk 3/12: Transcribing segment 5 (42% of audio)..."

Also skips the "Loading model..." message for chunks after the first
since the model is already loaded.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

package.json

@@ -1,6 +1,6 @@
 {
   "name": "voice-to-notes",
-  "version": "0.2.32",
+  "version": "0.2.35",
   "description": "Desktop app for transcribing audio/video with speaker identification",
   "type": "module",
   "scripts": {

python/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "voice-to-notes"
-version = "1.0.12"
+version = "1.0.13"
 description = "Python sidecar for Voice to Notes — transcription, diarization, and AI services"
 requires-python = ">=3.11"
 license = "MIT"

python/voice_to_notes/services/transcribe.py

@@ -113,17 +113,22 @@ class TranscribeService:
         compute_type: str = "int8",
         language: str | None = None,
         on_segment: Callable[[SegmentResult, int], None] | None = None,
+        chunk_label: str | None = None,
     ) -> TranscriptionResult:
         """Transcribe an audio file with word-level timestamps.
 
         Sends progress messages via IPC during processing.
+        If chunk_label is set (e.g. "chunk 3/12"), messages are prefixed with it.
         """
-        # Stage: loading model
+        prefix = f"{chunk_label}: " if chunk_label else ""
+
+        # Stage: loading model (skip for chunks after the first — model already loaded)
+        if not chunk_label:
             write_message(progress_message(request_id, 0, "loading_model", f"Loading {model_name}..."))
         model = self._ensure_model(model_name, device, compute_type)
 
         # Stage: transcribing
-        write_message(progress_message(request_id, 10, "transcribing", "Starting transcription..."))
+        write_message(progress_message(request_id, 10, "transcribing", f"{prefix}Starting transcription..."))
 
         start_time = time.time()
         segments_iter, info = model.transcribe(
@@ -176,7 +181,7 @@ class TranscribeService:
                     request_id,
                     progress_pct,
                     "transcribing",
-                    f"Transcribing segment {segment_count} ({progress_pct}% of audio)...",
+                    f"{prefix}Transcribing segment {segment_count} ({progress_pct}% of audio)...",
                 )
             )
 
@@ -271,6 +276,7 @@ class TranscribeService:
                 chunk_result = self.transcribe(
                     request_id, tmp.name, model_name, device,
                     compute_type, language, on_segment=chunk_on_segment,
+                    chunk_label=f"Chunk {chunk_idx + 1}/{num_chunks}",
                 )
 
                 # Offset timestamps and merge

src-tauri/Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "voice-to-notes"
-version = "0.2.32"
+version = "0.2.35"
 description = "Voice to Notes — desktop transcription with speaker identification"
 authors = ["Voice to Notes Contributors"]
 license = "MIT"

src-tauri/tauri.conf.json

@@ -1,7 +1,7 @@
 {
   "$schema": "https://schema.tauri.app/config/2",
   "productName": "Voice to Notes",
-  "version": "0.2.32",
+  "version": "0.2.35",
   "identifier": "com.voicetonotes.app",
   "build": {
     "beforeDevCommand": "npm run dev",

src/lib/components/AIChatPanel.svelte

@@ -1,7 +1,7 @@
 <script lang="ts">
   import { invoke } from '@tauri-apps/api/core';
   import { segments, speakers } from '$lib/stores/transcript';
-  import { settings } from '$lib/stores/settings';
+  import { settings, configureAIProvider } from '$lib/stores/settings';
 
   interface ChatMessage {
     role: 'user' | 'assistant';
@@ -45,22 +45,12 @@
       }));
 
       // Ensure the provider is configured with current credentials before chatting
-      const s = $settings;
+      await configureAIProvider($settings);
-      const configMap: Record<string, Record<string, string>> = {
-        openai: { api_key: s.openai_api_key, model: s.openai_model },
-        anthropic: { api_key: s.anthropic_api_key, model: s.anthropic_model },
-        litellm: { api_key: s.litellm_api_key, api_base: s.litellm_api_base, model: s.litellm_model },
-        local: { model: s.local_model_path, base_url: 'http://localhost:8080' },
-      };
-      const config = configMap[s.ai_provider];
-      if (config) {
-        await invoke('ai_configure', { provider: s.ai_provider, config });
-      }
 
       const result = await invoke<{ response: string }>('ai_chat', {
         messages: chatMessages,
         transcriptContext: getTranscriptContext(),
-        provider: s.ai_provider,
+        provider: $settings.ai_provider,
       });
 
       messages = [...messages, { role: 'assistant', content: result.response }];

src/lib/stores/settings.ts

@@ -57,7 +57,7 @@ export async function configureAIProvider(s: AppSettings): Promise<void> {
     openai: { api_key: s.openai_api_key, model: s.openai_model },
     anthropic: { api_key: s.anthropic_api_key, model: s.anthropic_model },
     litellm: { api_key: s.litellm_api_key, api_base: s.litellm_api_base, model: s.litellm_model },
-    local: { model: s.ollama_model, base_url: s.ollama_url + '/v1' },
+    local: { model: s.ollama_model, base_url: s.ollama_url.replace(/\/+$/, '') + '/v1' },
   };
   const config = configMap[s.ai_provider];
   if (config) {