feat: Extract hardcoded configs to environment variables

- Add environment variable configuration for backend and frontend
- Backend: DB_POOL_SIZE, JWT_EXPIRE_HOURS, timeout configs, directory paths
- Frontend: VITE_API_BASE_URL, VITE_UPLOAD_TIMEOUT, Whisper configs
- Create deployment script (scripts/deploy-backend.sh)
- Create 1Panel deployment guide (docs/1panel-deployment.md)
- Update DEPLOYMENT.md with env var documentation
- Create README.md with project overview
- Remove obsolete PRD.md, SDD.md, TDD.md (replaced by OpenSpec)
- Keep CORS allow_origins=["*"] for Electron EXE distribution

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

backend/app/routers/ai.py

@@ -13,10 +13,6 @@ from ..config import settings
 from ..models import SummarizeRequest, SummarizeResponse, ActionItemCreate, TokenPayload
 from .auth import get_current_user
 
-# Supported audio formats
-SUPPORTED_AUDIO_FORMATS = {".mp3", ".wav", ".m4a", ".webm", ".ogg", ".flac", ".aac"}
-MAX_FILE_SIZE = 500 * 1024 * 1024  # 500MB
-
 router = APIRouter()
 
 
@@ -45,7 +41,7 @@ async def summarize_transcript(
                     "response_mode": "blocking",
                     "user": current_user.email,
                 },
-                timeout=120.0,  # Long timeout for LLM processing
+                timeout=settings.llm_timeout_seconds,
             )
 
             if response.status_code != 200:
@@ -135,10 +131,10 @@ async def transcribe_audio(
 
     # Validate file extension
     file_ext = os.path.splitext(file.filename or "")[1].lower()
-    if file_ext not in SUPPORTED_AUDIO_FORMATS:
+    if file_ext not in settings.supported_audio_formats_set:
         raise HTTPException(
             status_code=400,
-            detail=f"Unsupported audio format. Supported: {', '.join(SUPPORTED_AUDIO_FORMATS)}"
+            detail=f"Unsupported audio format. Supported: {settings.SUPPORTED_AUDIO_FORMATS}"
         )
 
     # Create temp directory for processing
@@ -151,10 +147,10 @@ async def transcribe_audio(
         with open(temp_file_path, "wb") as f:
             while chunk := await file.read(1024 * 1024):  # 1MB chunks
                 file_size += len(chunk)
-                if file_size > MAX_FILE_SIZE:
+                if file_size > settings.MAX_FILE_SIZE:
                     raise HTTPException(
                         status_code=413,
-                        detail=f"File too large. Maximum size: {MAX_FILE_SIZE // (1024*1024)}MB"
+                        detail=f"File too large. Maximum size: {settings.MAX_FILE_SIZE // (1024*1024)}MB"
                     )
                 f.write(chunk)
 
@@ -245,18 +241,18 @@ async def transcribe_audio_stream(
 
     # Validate file extension
     file_ext = os.path.splitext(file.filename or "")[1].lower()
-    if file_ext not in SUPPORTED_AUDIO_FORMATS:
+    if file_ext not in settings.supported_audio_formats_set:
         raise HTTPException(
             status_code=400,
-            detail=f"Unsupported audio format. Supported: {', '.join(SUPPORTED_AUDIO_FORMATS)}"
+            detail=f"Unsupported audio format. Supported: {settings.SUPPORTED_AUDIO_FORMATS}"
         )
 
     # Read file into memory for streaming
     file_content = await file.read()
-    if len(file_content) > MAX_FILE_SIZE:
+    if len(file_content) > settings.MAX_FILE_SIZE:
         raise HTTPException(
             status_code=413,
-            detail=f"File too large. Maximum size: {MAX_FILE_SIZE // (1024*1024)}MB"
+            detail=f"File too large. Maximum size: {settings.MAX_FILE_SIZE // (1024*1024)}MB"
         )
 
     async def generate_progress() -> AsyncGenerator[str, None]:
@@ -366,7 +362,7 @@ async def segment_audio_with_sidecar(audio_path: str, output_dir: str) -> dict:
         # Send command and wait for response
         stdout, stderr = await asyncio.wait_for(
             process.communicate(input=f"{cmd_input}\n{{\"action\": \"quit\"}}\n".encode()),
-            timeout=600  # 10 minutes timeout for large files
+            timeout=settings.upload_timeout_seconds
         )
 
         # Parse response (skip status messages, find the segment result)
@@ -490,7 +486,7 @@ async def transcribe_chunk_with_dify(
                         }
                     ]
                 },
-                timeout=300.0,  # 5 minutes per chunk (increased for longer segments)
+                timeout=settings.dify_stt_timeout_seconds,
             )
 
             print(f"[Dify] Chat response: {response.status_code}")