feat: add Docker support for offline deployment with qwen3:14b

Major additions:
- All-in-One Docker image with Ollama + models bundled
- Separate deployment option for existing Ollama installations
- Changed default model from qwen3:8b to qwen3:14b
- Comprehensive deployment documentation

Files added:
- Dockerfile: Basic app-only image
- Dockerfile.allinone: Complete image with Ollama + models
- docker-compose.yml: Easy deployment configuration
- docker-entrypoint.sh: Startup script for all-in-one image
- requirements.txt: Python dependencies
- .dockerignore: Exclude unnecessary files from image

Scripts:
- export-ollama-models.sh: Export models from local Ollama
- build-allinone.sh: Build complete offline-deployable image
- build-and-export.sh: Build and export basic image

Documentation:
- DEPLOYMENT.md: Comprehensive deployment guide
- QUICK_START.md: Quick reference for common tasks

Configuration:
- Updated config.py: DEFAULT_CHAT_MODEL = qwen3:14b
- Updated frontend/opro.html: Page title to 系统提示词优化

export-ollama-models.sh

@@ -0,0 +1,105 @@
+#!/bin/bash
+
+# Export Ollama models for offline deployment
+# This script copies Ollama models from your local machine
+# so they can be bundled into the Docker image
+#
+# Required models:
+# - qwen3:14b (main chat model)
+# - qwen3-embedding:4b (embedding model)
+
+set -e
+
+MODELS_DIR="ollama-models"
+OLLAMA_MODELS_PATH="$HOME/.ollama"
+
+echo "=========================================="
+echo "Exporting Ollama models for offline deployment"
+echo "=========================================="
+
+# Check if Ollama is installed
+if ! command -v ollama &> /dev/null; then
+    echo "ERROR: Ollama is not installed or not in PATH"
+    exit 1
+fi
+
+# Check if required models are available
+echo ""
+echo "Checking for required models..."
+MISSING_MODELS=0
+
+if ! ollama list | grep -q "qwen3:14b"; then
+    echo "ERROR: qwen3:14b model not found!"
+    echo "Please run: ollama pull qwen3:14b"
+    MISSING_MODELS=1
+fi
+
+if ! ollama list | grep -q "qwen3-embedding:4b"; then
+    echo "ERROR: qwen3-embedding:4b model not found!"
+    echo "Please run: ollama pull qwen3-embedding:4b"
+    MISSING_MODELS=1
+fi
+
+if [ $MISSING_MODELS -eq 1 ]; then
+    echo ""
+    echo "Please download the required models first:"
+    echo "  ollama pull qwen3:14b"
+    echo "  ollama pull qwen3-embedding:4b"
+    exit 1
+fi
+
+echo "✓ All required models found"
+
+# Check if Ollama directory exists
+if [ ! -d "$OLLAMA_MODELS_PATH" ]; then
+    echo "ERROR: Ollama directory not found at $OLLAMA_MODELS_PATH"
+    exit 1
+fi
+
+# Create export directory
+echo ""
+echo "Creating export directory: $MODELS_DIR"
+rm -rf "$MODELS_DIR"
+mkdir -p "$MODELS_DIR"
+
+echo ""
+echo "Copying Ollama data from $OLLAMA_MODELS_PATH to $MODELS_DIR..."
+echo "This may take several minutes (models are large)..."
+
+# Copy the entire .ollama directory structure
+cp -r "$OLLAMA_MODELS_PATH"/* "$MODELS_DIR/"
+
+echo ""
+echo "=========================================="
+echo "Models exported successfully!"
+echo "=========================================="
+du -sh "$MODELS_DIR"
+
+echo ""
+echo "Directory structure:"
+ls -lh "$MODELS_DIR/"
+
+echo ""
+echo "Models included:"
+if [ -d "$MODELS_DIR/models/manifests/registry.ollama.ai/library" ]; then
+    ls -lh "$MODELS_DIR/models/manifests/registry.ollama.ai/library/"
+fi
+
+echo ""
+echo "=========================================="
+echo "Next steps:"
+echo "=========================================="
+echo "1. Build the all-in-one Docker image:"
+echo "   ./build-allinone.sh"
+echo ""
+echo "2. Or manually:"
+echo "   docker build -f Dockerfile.allinone -t system-prompt-optimizer:allinone ."
+echo ""
+echo "3. Export the image:"
+echo "   docker save -o system-prompt-optimizer-allinone.tar system-prompt-optimizer:allinone"
+echo ""
+echo "4. Transfer to target server:"
+echo "   scp system-prompt-optimizer-allinone.tar user@server:/path/"
+echo ""
+echo "Note: The final Docker image will be very large (10-20GB) due to the models."
+