Docker support and Ollama support (#47)

- Added support for running CLI and Ollama server via Docker
- Introduced tests for local embeddings model and standalone Docker setup
- Enabled conditional Ollama server launch via LLM_PROVIDER

init-ollama.sh

@@ -0,0 +1,78 @@
+#!/bin/bash
+set -e
+
+echo "🚀 Initializing Ollama models..."
+
+# Define required models
+DEEP_THINK_MODEL="qwen3:0.6b"
+EMBEDDING_MODEL="nomic-embed-text"
+
+# Wait for Ollama to be ready
+echo "⏳ Waiting for Ollama service to start..."
+max_attempts=30
+attempt=0
+while [ $attempt -lt $max_attempts ]; do
+    if docker compose --profile ollama exec ollama ollama list > /dev/null 2>&1; then
+        echo "✅ Ollama is ready!"
+        break
+    fi
+    echo "   Waiting for Ollama... (attempt $((attempt + 1))/$max_attempts)"
+    sleep 2
+    attempt=$((attempt + 1))
+done
+
+if [ $attempt -eq $max_attempts ]; then
+    echo "❌ Error: Ollama failed to start within the expected time"
+    exit 1
+fi
+
+# Check cache directory
+if [ -d "./ollama_data" ]; then
+    echo "📁 Found existing ollama_data cache directory"
+    cache_size=$(du -sh ./ollama_data 2>/dev/null | cut -f1 || echo "0")
+    echo "   Cache size: $cache_size"
+else
+    echo "📁 Creating ollama_data cache directory..."
+    mkdir -p ./ollama_data
+fi
+
+# Get list of currently available models
+echo "🔍 Checking for existing models..."
+available_models=$(docker compose --profile ollama exec ollama ollama list 2>/dev/null | tail -n +2 | awk '{print $1}' || echo "")
+
+# Function to check if model exists
+model_exists() {
+    local model_name="$1"
+    echo "$available_models" | grep -q "^$model_name"
+}
+
+# Pull deep thinking model if not present
+if model_exists "$DEEP_THINK_MODEL"; then
+    echo "✅ Deep thinking model '$DEEP_THINK_MODEL' already available"
+else
+    echo "📥 Pulling deep thinking model: $DEEP_THINK_MODEL..."
+    docker compose --profile ollama exec ollama ollama pull "$DEEP_THINK_MODEL"
+    echo "✅ Model $DEEP_THINK_MODEL pulled successfully"
+fi
+
+# Pull embedding model if not present
+if model_exists "$EMBEDDING_MODEL"; then
+    echo "✅ Embedding model '$EMBEDDING_MODEL' already available"
+else
+    echo "📥 Pulling embedding model: $EMBEDDING_MODEL..."
+    docker compose --profile ollama exec ollama ollama pull "$EMBEDDING_MODEL"
+    echo "✅ Model $EMBEDDING_MODEL pulled successfully"
+fi
+
+# List all available models
+echo "📋 Available models:"
+docker compose --profile ollama exec ollama ollama list
+
+# Show cache info
+if [ -d "./ollama_data" ]; then
+    cache_size=$(du -sh ./ollama_data 2>/dev/null | cut -f1 || echo "unknown")
+    echo "💾 Model cache size: $cache_size (stored in ./ollama_data)"
+fi
+
+echo "🎉 Ollama initialization complete!"
+echo "💡 Tip: Models are cached in ./ollama_data and will be reused on subsequent runs"