chore: bump version 0.1.6 → 0.1.7

Reviewed-on: https://gitea.iswearihadsomethingforthis.net/francwa/alfred/pulls/18

.bumpversion.toml

@@ -1,5 +1,5 @@
 [tool.bumpversion]
-current_version = "0.1.6"
+current_version = "0.1.7"
 parse = "(?P<major>\\d+)\\.(?P<minor>\\d+)\\.(?P<patch>\\d+)"
 serialize = ["{major}.{minor}.{patch}"]
 search = "{current_version}"

.dockerignore

@@ -22,8 +22,7 @@ venv
 .venv
 env
 .env
-.env.*
-
+.env-
 # IDE
 .vscode
 .idea
@@ -41,11 +40,8 @@ docs/
 *.md
 !README.md
 
-# Tests
-tests/
-pytest.ini
-
-# Data (will be mounted as volumes)
+# Data
+data/
 memory_data/
 logs/
 *.log

.env.example

@@ -1,69 +1,93 @@
-# Agent Media - Environment Variables
+MAX_HISTORY_MESSAGES=10
+MAX_TOOL_ITERATIONS=10
+REQUEST_TIMEOUT=30
 
-# LibreChat Security Keys
-# Generate secure keys with: openssl rand -base64 32
-JWT_SECRET=your-super-secret-jwt-key-change-this-in-production
-JWT_REFRESH_SECRET=your-super-secret-refresh-key-change-this-too
+# LLM Settings
+LLM_TEMPERATURE=0.2
 
-# Generate with: openssl rand -hex 16 (for CREDS_KEY)
-CREDS_KEY=your-32-character-secret-key-here
+# Persistence
+DATA_STORAGE_DIR=data
 
-# Generate with: openssl rand -hex 8 (for CREDS_IV)
-CREDS_IV=your-16-character-iv-here
+# Network configuration
+HOST=0.0.0.0
+PORT=3080
 
-# LibreChat Configuration
-DOMAIN_CLIENT=http://localhost:3080
-DOMAIN_SERVER=http://localhost:3080
+# Build informations (Synced with pyproject.toml via bootstrap)
+ALFRED_VERSION=
+IMAGE_NAME=
+LIBRECHAT_VERSION=
+PYTHON_VERSION=
+PYTHON_VERSION_SHORT=
+RAG_VERSION=
+RUNNER=
+SERVICE_NAME=
 
-# Session expiry (in milliseconds)
-# Default: 15 minutes
-SESSION_EXPIRY=900000
+# --- SECURITY KEYS (CRITICAL) ---
+# These are used for session tokens and encrypting sensitive data in MongoDB.
+# If you lose these, you lose access to encrypted stored credentials.
+JWT_SECRET=
+JWT_REFRESH_SECRET=
+CREDS_KEY=
+CREDS_IV=
 
-# Refresh token expiry (in milliseconds)
-# Default: 7 days
-REFRESH_TOKEN_EXPIRY=604800000
+# --- DATABASES (AUTO-SECURED) ---
+# Alfred uses MongoDB for application state and PostgreSQL for Vector RAG.
+# Passwords will be generated as 24-character secure tokens if left blank.
 
-# Meilisearch Configuration
-# Master key for Meilisearch (generate with: openssl rand -base64 32)
-MEILI_MASTER_KEY=DrhYf7zENyR6AlUCKmnz0eYASOQdl6zxH7s7MKFSfFU
+# MongoDB (Application Data)
+MONGO_URI=
+MONGO_HOST=mongodb
+MONGO_PORT=27017
+MONGO_USER=alfred
+MONGO_PASSWORD=
+MONGO_DB_NAME=alfred
 
-# PostgreSQL Configuration (for RAG API)
-POSTGRES_DB=librechat_rag
-POSTGRES_USER=postgres
-POSTGRES_PASSWORD=postgres
+# PostgreSQL (Vector Database / RAG)
+POSTGRES_URI=
+POSTGRES_HOST=vectordb
+POSTGRES_PORT=5432
+POSTGRES_USER=alfred
+POSTGRES_PASSWORD=
+POSTGRES_DB_NAME=alfred
 
-# RAG API Configuration (Vector Database)
-RAG_COLLECTION_NAME=testcollection
-RAG_EMBEDDINGS_PROVIDER=openai
-RAG_EMBEDDINGS_MODEL=text-embedding-3-small
+# --- EXTERNAL SERVICES ---
+# Media Metadata (Required)
+# Get your key at https://www.themoviedb.org/
+TMDB_API_KEY=
+TMDB_BASE_URL=https://api.themoviedb.org/3
 
-# API Keys
-# OpenAI API Key (required for RAG embeddings)
-OPENAI_API_KEY=your-openai-api-key-here
-
-# Deepseek API Key (for LLM in agent-brain)
-DEEPSEEK_API_KEY=your-deepseek-api-key-here
-
-# Agent Brain Configuration
-
-# LLM Provider (deepseek or ollama)
-LLM_PROVIDER=deepseek
-
-# Memory storage directory (inside container)
-MEMORY_STORAGE_DIR=/data/memory
-
-# API Key for agent-brain (used by LibreChat custom endpoint)
-AGENT_BRAIN_API_KEY=agent-brain-secret-key
-
-# External Services (Optional)
-# TMDB API Key (for movie metadata)
-TMDB_API_KEY=your-tmdb-key
-
-# qBittorrent Configuration
-QBITTORRENT_URL=http://localhost:8080
+# qBittorrent integration
+QBITTORRENT_URL=http://qbittorrent:16140
 QBITTORRENT_USERNAME=admin
-QBITTORRENT_PASSWORD=adminpass
+QBITTORRENT_PASSWORD=
+QBITTORRENT_PORT=16140
 
-# Debug Options
-DEBUG_LOGGING=false
-DEBUG_CONSOLE=false
+# Meilisearch
+MEILI_ENABLED=FALSE
+MEILI_NO_ANALYTICS=TRUE
+MEILI_HOST=http://meilisearch:7700
+MEILI_MASTER_KEY=
+
+# --- LLM CONFIGURATION ---
+# Providers: 'local', 'openai', 'anthropic', 'deepseek', 'google', 'kimi'
+DEFAULT_LLM_PROVIDER=local
+
+# Local LLM (Ollama)
+OLLAMA_BASE_URL=http://ollama:11434
+OLLAMA_MODEL=llama3.3:latest
+
+# --- API KEYS (OPTIONAL) ---
+# Fill only the ones you intend to use.
+ANTHROPIC_API_KEY=
+DEEPSEEK_API_KEY=
+GOOGLE_API_KEY=
+KIMI_API_KEY=
+OPENAI_API_KEY=
+
+# --- RAG ENGINE ---
+# Enable/Disable the Retrieval Augmented Generation system
+RAG_ENABLED=TRUE
+RAG_API_URL=http://rag_api:8000
+RAG_API_PORT=8000
+EMBEDDINGS_PROVIDER=ollama
+EMBEDDINGS_MODEL=nomic-embed-text

.gitea/workflows/ci.yml

@@ -63,7 +63,6 @@ jobs:
         uses: docker/build-push-action@v5
         with:
           context: .
-          file: ./brain/Dockerfile
           push: true
           tags: ${{ steps.meta.outputs.tags }}
           labels: ${{ steps.meta.outputs.labels }}

.gitignore

@@ -59,3 +59,9 @@ Thumbs.db
 
 # Backup files
 *.backup
+
+# Application data dir
+data/*
+
+# Application logs
+logs/*

Dockerfile

@@ -30,7 +30,7 @@ RUN --mount=type=cache,target=/root/.cache/pip \
 WORKDIR /tmp
 
 # Copy dependency files
-COPY brain/pyproject.toml brain/poetry.lock* brain/uv.lock* Makefile ./
+COPY pyproject.toml poetry.lock* uv.lock* Makefile ./
 
 # Install dependencies as root (to avoid permission issues with system packages)
 RUN --mount=type=cache,target=/root/.cache/pip \
@@ -43,6 +43,9 @@ RUN --mount=type=cache,target=/root/.cache/pip \
         uv pip install --system -r pyproject.toml; \
     fi
 
+COPY scripts/ ./scripts/
+COPY .env.example ./
+
 # ===========================================
 # Stage 2: Testing
 # ===========================================
@@ -59,12 +62,9 @@ RUN --mount=type=cache,target=/root/.cache/pip \
         uv pip install --system -e .[dev]; \
     fi
 
-COPY brain/agent/ ./agent/
-COPY brain/application/ ./application/
-COPY brain/domain/ ./domain/
-COPY brain/infrastructure/ ./infrastructure/
-COPY brain/tests/ ./tests/
-COPY brain/app.py .
+COPY alfred/ ./alfred
+COPY scripts ./scripts
+COPY tests/  ./tests
 
 # ===========================================
 # Stage 3: Runtime
@@ -73,10 +73,11 @@ FROM python:${PYTHON_VERSION}-slim-bookworm AS runtime
 
 ARG PYTHON_VERSION_SHORT
 
+# TODO: A-t-on encore besoin de toutes les clés  ?
 ENV LLM_PROVIDER=deepseek \
     MEMORY_STORAGE_DIR=/data/memory \
     PYTHONDONTWRITEBYTECODE=1 \
-    PYTHONPATH=/home/appuser/app \
+    PYTHONPATH=/home/appuser \
     PYTHONUNBUFFERED=1
 
 # Install runtime dependencies (needs root)
@@ -89,28 +90,27 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
 RUN useradd -m -u 1000 -s /bin/bash appuser
 
 # Create data directories (needs root for /data)
-RUN mkdir -p /data/memory /data/logs \
-    && chown -R appuser:appuser /data
+RUN mkdir -p /data /logs \
+    && chown -R appuser:appuser /data /logs
 
 # Switch to non-root user
 USER appuser
 
 # Set working directory (owned by appuser)
-WORKDIR /home/appuser/app
+WORKDIR /home/appuser
 
 # Copy Python packages from builder stage
 COPY --from=builder /usr/local/lib/python${PYTHON_VERSION_SHORT}/site-packages /usr/local/lib/python${PYTHON_VERSION_SHORT}/site-packages
 COPY --from=builder /usr/local/bin /usr/local/bin
 
 # Copy application code (already owned by appuser)
-COPY --chown=appuser:appuser brain/agent/ ./agent/
-COPY --chown=appuser:appuser brain/application/ ./application/
-COPY --chown=appuser:appuser brain/domain/ ./domain/
-COPY --chown=appuser:appuser brain/infrastructure/ ./infrastructure/
-COPY --chown=appuser:appuser brain/app.py .
+COPY --chown=appuser:appuser alfred/ ./alfred
+COPY --chown=appuser:appuser scripts/ ./scripts
+COPY --chown=appuser:appuser .env.example ./
+COPY --chown=appuser:appuser pyproject.toml ./
 
 # Create volumes for persistent data
-VOLUME ["/data/memory", "/data/logs"]
+VOLUME ["/data", "/logs"]
 
 # Expose port
 EXPOSE 8000
@@ -119,5 +119,4 @@ EXPOSE 8000
 HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
     CMD python -c "import requests; requests.get('http://localhost:8000/health', timeout=5).raise_for_status()" || exit 1
 
-# Run the application
-CMD ["python", "-m", "uvicorn", "app:app", "--host", "0.0.0.0", "--port", "8000"]
+CMD ["python", "-m", "uvicorn", "alfred.app:app", "--host", "0.0.0.0", "--port", "8000"]

Makefile

@@ -1,250 +1,140 @@
-.POSIX:
-.SUFFIXES:
 .DEFAULT_GOAL := help
 
-# --- SETTINGS ---
-CORE_DIR = brain
-IMAGE_NAME = agent_media
-# renovate: datasource=docker depName=python
-PYTHON_VERSION = $(shell grep "python" $(CORE_DIR)/pyproject.toml | head -n 1 | sed -E 's/.*[=<>^~"]+ *([0-9]+\.[0-9]+(\.[0-9]+)?).*/\1/')
-PYTHON_VERSION_SHORT = $(shell echo $(PYTHON_VERSION) | cut -d. -f1,2)
-# Change to 'uv' when ready.
-RUNNER ?= poetry
-SERVICE_NAME = agent_media
+# --- Load Config from pyproject.toml ---
+-include .env.make
 
-export IMAGE_NAME
-export PYTHON_VERSION
-export PYTHON_VERSION_SHORT
-export RUNNER
+# --- Profiles management ---
+# Usage: make up p=rag,meili
+p ?= core
+PROFILES_PARAM	:= COMPOSE_PROFILES=$(p)
 
-# --- ADAPTERS ---
-# UV uses "sync", Poetry uses "install". Both install DEV deps by default.
-INSTALL_CMD = $(if $(filter uv,$(RUNNER)),sync,install)
+# --- Commands ---
+DOCKER_COMPOSE	:= docker compose
+DOCKER_BUILD	:= docker build --no-cache \
+					--build-arg PYTHON_VERSION=$(PYTHON_VERSION) \
+					--build-arg PYTHON_VERSION_SHORT=$(PYTHON_VERSION_SHORT) \
+					--build-arg RUNNER=$(RUNNER)
 
-# --- MACROS ---
-ARGS           = $(filter-out $@,$(MAKECMDGOALS))
-BUMP_CMD       = cd $(CORE_DIR) && $(RUNNER) run bump-my-version bump
-COMPOSE_CMD    = docker-compose
-DOCKER_CMD     = docker build \
- --build-arg PYTHON_VERSION=$(PYTHON_VERSION) \
- --build-arg PYTHON_VERSION_SHORT=$(PYTHON_VERSION_SHORT) \
- --build-arg RUNNER=$(RUNNER) \
- -f $(CORE_DIR)/Dockerfile \
- -t $(IMAGE_NAME):latest .
+# --- Phony ---
+.PHONY: .env up down restart logs ps shell build build-test install update \
+	install-hooks test coverage lint format clean major minor patch help
 
-RUNNER_ADD     = cd $(CORE_DIR) && $(RUNNER) add
-RUNNER_HOOKS   = cd $(CORE_DIR) && $(RUNNER) run pre-commit install -c ../.pre-commit-config.yaml
-RUNNER_INSTALL = cd $(CORE_DIR) && $(RUNNER) $(INSTALL_CMD)
-RUNNER_RUN     = cd $(CORE_DIR) && $(RUNNER) run
-RUNNER_UPDATE  = cd $(CORE_DIR) && $(RUNNER) update
+# --- Setup ---
+.env .env.make:
+	@echo "Initializing environment..."
+	@python scripts/bootstrap.py \
+		&& echo "✓ Environment ready" \
+		|| (echo "✗ Environment setup failed" && exit 1)
 
-# --- STYLES ---
-B = \033[1m
-G = \033[32m
-T = \033[36m
-R = \033[0m
+bootstrap: .env .env.make
 
-# --- TARGETS ---
-.PHONY: add build build-test check-docker check-runner clean coverage down format help init-dotenv install install-hooks lint logs major minor patch prune ps python-version restart run shell test up update _check_branch _ci-dump-config _ci-run-tests _push_tag
+# --- Docker ---
+up: .env
+	@echo "Starting containers with profiles: [$(p)]..."
+	@$(PROFILES_PARAM) $(DOCKER_COMPOSE) up -d --remove-orphans \
+		&& echo "✓ Containers started" \
+		|| (echo "✗ Failed to start containers" && exit 1)
 
-# Catch-all for args
-%:
-	@:
+down:
+	@echo "Stopping containers..."
+	@$(DOCKER_COMPOSE) down \
+		&& echo "✓ Containers stopped" \
+		|| (echo "✗ Failed to stop containers" && exit 1)
 
-add: check-runner
-	@echo "$(T)➕ Adding dependency ($(RUNNER)): $(ARGS)$(R)"
-	$(RUNNER_ADD) $(ARGS)
+restart:
+	@echo "Restarting containers..."
+	@$(PROFILES_PARAM) $(DOCKER_COMPOSE) restart \
+		&& echo "✓ Containers restarted" \
+		|| (echo "✗ Failed to restart containers" && exit 1)
 
-build: check-docker
-	@echo "$(T)🐳 Building Docker image...$(R)"
-	$(DOCKER_CMD)
-	@echo "✅ Image $(IMAGE_NAME):latest ready."
+logs:
+	@echo "Following logs (Ctrl+C to exit)..."
+	@$(PROFILES_PARAM) $(DOCKER_COMPOSE) logs -f
 
-build-test: check-docker
-	@echo "$(T)🐳 Building test image (with dev deps)...$(R)"
-	docker build \
-		--build-arg RUNNER=$(RUNNER) \
-		--build-arg PYTHON_VERSION=$(PYTHON_VERSION) \
-		--build-arg PYTHON_VERSION_SHORT=$(PYTHON_VERSION_SHORT) \
-		-f $(CORE_DIR)/Dockerfile \
-		--target test \
-		-t $(IMAGE_NAME):test .
-	@echo "✅ Test image $(IMAGE_NAME):test ready."
+ps:
+	@echo "Container status:"
+	@$(PROFILES_PARAM) $(DOCKER_COMPOSE) ps
 
-check-docker:
-	@command -v docker >/dev/null 2>&1 || { echo "$(R)❌ Docker not installed$(R)"; exit 1; }
-	@docker info >/dev/null 2>&1 || { echo "$(R)❌ Docker daemon not running$(R)"; exit 1; }
+shell:
+	@echo "Opening shell in $(SERVICE_NAME)..."
+	@$(DOCKER_COMPOSE) exec $(SERVICE_NAME) /bin/bash
 
-check-runner:
-	@command -v $(RUNNER) >/dev/null 2>&1 || { echo "$(R)❌ $(RUNNER) not installed$(R)"; exit 1; }
+# --- Build ---
+build: .env.make
+	@echo "Building image $(IMAGE_NAME):latest ..."
+	@$(DOCKER_BUILD) -t $(IMAGE_NAME):latest . \
+		&& echo "✓ Build complete" \
+		|| (echo "✗ Build failed" && exit 1)
+
+build-test: .env.make
+	@echo "Building test image $(IMAGE_NAME):test..."
+	@$(DOCKER_BUILD) --target test -t $(IMAGE_NAME):test . \
+		&& echo "✓ Test image built" \
+		|| (echo "✗ Build failed" && exit 1)
+
+# --- Dependencies ---
+install:
+	@echo "Installing dependencies with $(RUNNER)..."
+	@$(RUNNER) install \
+		&& echo "✓ Dependencies installed" \
+		|| (echo "✗ Installation failed" && exit 1)
+
+install-hooks:
+	@echo "Installing pre-commit hooks..."
+	@$(RUNNER) run pre-commit install \
+		&& echo "✓ Hooks installed" \
+		|| (echo "✗ Hook installation failed" && exit 1)
+
+update:
+	@echo "Updating dependencies with $(RUNNER)..."
+	@$(RUNNER) update \
+		&& echo "✓ Dependencies updated" \
+		|| (echo "✗ Update failed" && exit 1)
+
+# --- Quality ---
+test:
+	@echo "Running tests..."
+	@$(RUNNER) run pytest \
+		&& echo "✓ Tests passed" \
+		|| (echo "✗ Tests failed" && exit 1)
+
+coverage:
+	@echo "Running tests with coverage..."
+	@$(RUNNER) run pytest --cov=. --cov-report=html --cov-report=term \
+		&& echo "✓ Coverage report generated" \
+		|| (echo "✗ Coverage failed" && exit 1)
+
+lint:
+	@echo "Linting code..."
+	@$(RUNNER) run ruff check --fix . \
+		&& echo "✓ Linting complete" \
+		|| (echo "✗ Linting failed" && exit 1)
+
+format:
+	@echo "Formatting code..."
+	@$(RUNNER) run ruff format . && $(RUNNER) run ruff check --fix . \
+		&& echo "✓ Code formatted" \
+		|| (echo "✗ Formatting failed" && exit 1)
 
 clean:
-	@echo "$(T)🧹 Cleaning caches...$(R)"
-	cd $(CORE_DIR) && rm -rf .ruff_cache __pycache__ .pytest_cache
-	find $(CORE_DIR) -type d -name "__pycache__" -exec rm -rf {} + 2>/dev/null || true
-	find $(CORE_DIR) -type d -name ".pytest_cache" -exec rm -rf {} + 2>/dev/null || true
-	find $(CORE_DIR) -type f -name "*.pyc" -delete 2>/dev/null || true
-	@echo "✅ Caches cleaned."
+	@echo "Cleaning build artifacts..."
+	@rm -rf .ruff_cache __pycache__ .pytest_cache htmlcov .coverage
+	@find . -type d -name "__pycache__" -exec rm -rf {} + 2>/dev/null || true
+	@echo "✓ Cleanup complete"
 
-coverage: check-runner
-	@echo "$(T)📊 Running tests with coverage...$(R)"
-	$(RUNNER_RUN) pytest --cov=. --cov-report=html --cov-report=term $(ARGS)
-	@echo "✅ Report generated in htmlcov/"
+# --- Versioning ---
+major minor patch: _check-main
+	@echo "Bumping $@ version..."
+	@$(RUNNER) run bump-my-version bump $@ \
+		&& echo "✓ Version bumped" \
+		|| (echo "✗ Version bump failed" && exit 1)
 
-down: check-docker
-	@echo "$(T)🛑 Stopping containers...$(R)"
-	$(COMPOSE_CMD) down
-	@echo "✅ System stopped."
-
-format: check-runner
-	@echo "$(T)✨ Formatting with Ruff...$(R)"
-	$(RUNNER_RUN) ruff format .
-	$(RUNNER_RUN) ruff check --fix .
-	@echo "✅ Code cleaned."
-
-help:
-	@echo "$(B)Available commands:$(R)"
-	@echo ""
-	@echo "$(G)Setup:$(R)"
-	@echo "  $(T)check-docker 		$(R)  Verify Docker is installed and running."
-	@echo "  $(T)check-runner 		$(R)  Verify package manager ($(RUNNER))."
-	@echo "  $(T)init-dotenv  		$(R)  Create .env from .env.example with generated secrets."
-	@echo "  $(T)install      		$(R)  Install ALL dependencies (Prod + Dev)."
-	@echo "  $(T)install-hooks		$(R)  Install git pre-commit hooks."
-	@echo ""
-	@echo "$(G)Docker:$(R)"
-	@echo "  $(T)build        		$(R)  Build the docker image (production)."
-	@echo "  $(T)build-test   		$(R)  Build the docker image (with dev deps for testing)."
-	@echo "  $(T)down         		$(R)  Stop and remove containers."
-	@echo "  $(T)logs         		$(R)  Follow logs."
-	@echo "  $(T)prune        		$(R)  Clean Docker system."
-	@echo "  $(T)ps           		$(R)  Show container status."
-	@echo "  $(T)restart      		$(R)  Restart all containers."
-	@echo "  $(T)shell        		$(R)  Open shell in container."
-	@echo "  $(T)up           		$(R)  Start the agent."
-	@echo ""
-	@echo "$(G)Development:$(R)"
-	@echo "  $(T)add ...      		$(R)  Add dependency (use --group dev or --dev if needed)."
-	@echo "  $(T)clean        		$(R)  Clean caches."
-	@echo "  $(T)coverage     		$(R)  Run tests with coverage."
-	@echo "  $(T)format       		$(R)  Format code (Ruff)."
-	@echo "  $(T)lint         		$(R)  Lint code without fixing."
-	@echo "  $(T)test ...     		$(R)  Run tests (local with $(RUNNER))."
-	@echo "  $(T)update       		$(R)  Update dependencies."
-	@echo ""
-	@echo "$(G)Versioning:$(R)"
-	@echo "  $(T)major/minor/patch	$(R)  Bump version and push tag (triggers CI/CD)."
-
-init-dotenv:
-	@echo "$(T)🔑 Initializing .env file...$(R)"
-	@if [ -f .env ]; then \
-		echo "$(R)⚠️  .env already exists. Skipping.$(R)"; \
-		exit 0; \
-	fi
-	@if [ ! -f .env.example ]; then \
-		echo "$(R)❌ .env.example not found$(R)"; \
-		exit 1; \
-	fi
-	@if ! command -v openssl >/dev/null 2>&1; then \
-		echo "$(R)❌ openssl not found. Please install it first.$(R)"; \
-		exit 1; \
-	fi
-	@echo "$(T)  → Copying .env.example...$(R)"
-	@cp .env.example .env
-	@echo "$(T)  → Generating secrets...$(R)"
-	@sed -i.bak "s|JWT_SECRET=.*|JWT_SECRET=$$(openssl rand -base64 32)|" .env
-	@sed -i.bak "s|JWT_REFRESH_SECRET=.*|JWT_REFRESH_SECRET=$$(openssl rand -base64 32)|" .env
-	@sed -i.bak "s|CREDS_KEY=.*|CREDS_KEY=$$(openssl rand -hex 16)|" .env
-	@sed -i.bak "s|CREDS_IV=.*|CREDS_IV=$$(openssl rand -hex 8)|" .env
-	@sed -i.bak "s|MEILI_MASTER_KEY=.*|MEILI_MASTER_KEY=$$(openssl rand -base64 32)|" .env
-	@sed -i.bak "s|AGENT_BRAIN_API_KEY=.*|AGENT_BRAIN_API_KEY=$$(openssl rand -base64 24)|" .env
-	@rm -f .env.bak
-	@echo "$(G)✅ .env created with generated secrets!$(R)"
-	@echo "$(T)⚠️  Don't forget to add your API keys:$(R)"
-	@echo "   - OPENAI_API_KEY"
-	@echo "   - DEEPSEEK_API_KEY"
-	@echo "   - TMDB_API_KEY (optional)"
-
-install: check-runner
-	@echo "$(T)📦 Installing FULL environment ($(RUNNER))...$(R)"
-	$(RUNNER_INSTALL)
-	@echo "✅ Environment ready (Prod + Dev)."
-
-install-hooks: check-runner
-	@echo "$(T)🔧 Installing hooks...$(R)"
-	$(RUNNER_HOOKS)
-	@echo "✅ Hooks ready."
-
-lint: check-runner
-	@echo "$(T)🔍 Linting code...$(R)"
-	$(RUNNER_RUN) ruff check .
-
-logs: check-docker
-	@echo "$(T)📋 Following logs...$(R)"
-	$(COMPOSE_CMD) logs -f
-
-major: _check_branch
-	@echo "$(T)💥 Bumping major...$(R)"
-	SKIP=all $(BUMP_CMD) major
-	@$(MAKE) -s _push_tag
-
-minor: _check_branch
-	@echo "$(T)✨ Bumping minor...$(R)"
-	SKIP=all $(BUMP_CMD) minor
-	@$(MAKE) -s _push_tag
-
-patch: _check_branch
-	@echo "$(T)🚀 Bumping patch...$(R)"
-	SKIP=all $(BUMP_CMD) patch
-	@$(MAKE) -s _push_tag
-
-prune: check-docker
-	@echo "$(T)🗑️  Pruning Docker resources...$(R)"
-	docker system prune -af
-	@echo "✅ Docker cleaned."
-
-ps: check-docker
-	@echo "$(T)📋 Container status:$(R)"
-	@$(COMPOSE_CMD) ps
-
-python-version:
-	@echo "🔍 Reading pyproject.toml..."
-	@echo "✅ Python version : $(PYTHON_VERSION)"
-	@echo "ℹ️  Sera utilisé pour : FROM python:$(PYTHON_VERSION)-slim"
-
-
-restart: check-docker
-	@echo "$(T)🔄 Restarting containers...$(R)"
-	$(COMPOSE_CMD) restart
-	@echo "✅ Containers restarted."
-
-run: check-runner
-	$(RUNNER_RUN) $(ARGS)
-
-shell: check-docker
-	@echo "$(T)🐚 Opening shell in $(SERVICE_NAME)...$(R)"
-	$(COMPOSE_CMD) exec $(SERVICE_NAME) /bin/sh
-
-test: check-runner
-	@echo "$(T)🧪 Running tests...$(R)"
-	$(RUNNER_RUN) pytest $(ARGS)
-
-up: check-docker
-	@echo "$(T)🚀 Starting Agent Media...$(R)"
-	$(COMPOSE_CMD) up -d
-	@echo "✅ System is up."
-
-update: check-runner
-	@echo "$(T)🔄 Updating dependencies...$(R)"
-	$(RUNNER_UPDATE)
-	@echo "✅ All packages up to date."
-
-_check_branch:
-	@curr=$$(git rev-parse --abbrev-ref HEAD); \
-	if [ "$$curr" != "main" ]; then \
-	   echo "❌ Error: not on the main branch"; exit 1; \
-	fi
+	@echo "Pushing tags..."
+	@git push --tags \
+		&& echo "✓ Tags pushed" \
+		|| (echo "✗ Push failed" && exit 1)
 
+# CI/CD helpers
 _ci-dump-config:
 	@echo "image_name=$(IMAGE_NAME)"
 	@echo "python_version=$(PYTHON_VERSION)"
@@ -252,15 +142,41 @@ _ci-dump-config:
 	@echo "runner=$(RUNNER)"
 	@echo "service_name=$(SERVICE_NAME)"
 
-_ci-run-tests: build-test
-	@echo "$(T)🧪 Running tests in Docker...$(R)"
+_ci-run-tests:build-test
+	@echo "Running tests in Docker..."
 	docker run --rm \
 		-e DEEPSEEK_API_KEY \
 		-e TMDB_API_KEY \
+		-e QBITTORRENT_URL \
 		$(IMAGE_NAME):test pytest
-	@echo "✅ Tests passed."
+	@echo "✓ Tests passed."
 
-_push_tag:
-	@echo "$(T)📦 Pushing tag...$(R)"
-	git push --tags
-	@echo "✅ Tag pushed. Check CI for build status."
+_check-main:
+	@test "$$(git rev-parse --abbrev-ref HEAD)" = "main" \
+		|| (echo "✗ ERROR: Not on main branch" && exit 1)
+
+# --- Help ---
+help:
+	@echo "Cleverly Crafted Unawareness - Management Commands"
+	@echo ""
+	@echo "Usage: make [target] [p=profile1,profile2]"
+	@echo ""
+	@echo "Docker:"
+	@echo "  up          Start containers (default profile: core)"
+	@echo "              Example: make up p=rag,meili"
+	@echo "  down        Stop all containers"
+	@echo "  restart     Restart containers (supports p=...)"
+	@echo "  logs        Follow logs (supports p=...)"
+	@echo "  ps          Status of containers"
+	@echo "  shell       Open bash in the core container"
+	@echo "  build       Build the production Docker image"
+	@echo ""
+	@echo "Dev & Quality:"
+	@echo "  setup       Bootstrap .env and security keys"
+	@echo "  install     Install dependencies via $(RUNNER)"
+	@echo "  test        Run pytest suite"
+	@echo "  coverage    Run tests and generate HTML report"
+	@echo "  lint/format Quality and style checks"
+	@echo ""
+	@echo "Release:"
+	@echo "  major|minor|patch  Bump version and push tags (main branch only)"

alfred/agent/__init__.py

@@ -1,6 +1,7 @@
 """Agent module for media library management."""
 
+from alfred.settings import settings
+
 from .agent import Agent
-from .config import settings
 
 __all__ = ["Agent", "settings"]

alfred/agent/agent.py

@@ -5,9 +5,9 @@ import logging
 from collections.abc import AsyncGenerator
 from typing import Any
 
-from infrastructure.persistence import get_memory
+from alfred.infrastructure.persistence import get_memory
+from alfred.settings import settings
 
-from .config import settings
 from .prompts import PromptBuilder
 from .registry import Tool, make_tools
 
@@ -21,17 +21,20 @@ class Agent:
     Uses OpenAI-compatible tool calling API.
     """
 
-    def __init__(self, llm, max_tool_iterations: int = 5):
+    def __init__(self, settings, llm, max_tool_iterations: int = 5):
         """
         Initialize the agent.
 
         Args:
+            settings: Application settings instance
             llm: LLM client with complete() method
             max_tool_iterations: Maximum number of tool execution iterations
         """
+        self.settings = settings
         self.llm = llm
-        self.tools: dict[str, Tool] = make_tools()
+        self.tools: dict[str, Tool] = make_tools(settings)
         self.prompt_builder = PromptBuilder(self.tools)
+        self.settings = settings
         self.max_tool_iterations = max_tool_iterations
 
     def step(self, user_input: str) -> str:
@@ -78,7 +81,7 @@ class Agent:
         tools_spec = self.prompt_builder.build_tools_spec()
 
         # Tool execution loop
-        for _iteration in range(self.max_tool_iterations):
+        for _iteration in range(self.settings.max_tool_iterations):
             # Call LLM with tools
             llm_result = self.llm.complete(messages, tools=tools_spec)
 
@@ -230,7 +233,7 @@ class Agent:
         tools_spec = self.prompt_builder.build_tools_spec()
 
         # Tool execution loop
-        for _iteration in range(self.max_tool_iterations):
+        for _iteration in range(self.settings.max_tool_iterations):
             # Call LLM with tools
             llm_result = self.llm.complete(messages, tools=tools_spec)
 

alfred/agent/llm/deepseek.py

@@ -6,7 +6,8 @@ from typing import Any
 import requests
 from requests.exceptions import HTTPError, RequestException, Timeout
 
-from ..config import settings
+from alfred.settings import Settings, settings
+
 from .exceptions import LLMAPIError, LLMConfigurationError
 
 logger = logging.getLogger(__name__)
@@ -21,6 +22,7 @@ class DeepSeekClient:
         base_url: str | None = None,
         model: str | None = None,
         timeout: int | None = None,
+        settings: Settings | None = None,
     ):
         """
         Initialize DeepSeek client.
@@ -34,10 +36,10 @@ class DeepSeekClient:
         Raises:
             LLMConfigurationError: If API key is missing
         """
-        self.api_key = api_key or settings.deepseek_api_key
-        self.base_url = base_url or settings.deepseek_base_url
-        self.model = model or settings.model
-        self.timeout = timeout or settings.request_timeout
+        self.api_key = api_key or self.settings.deepseek_api_key
+        self.base_url = base_url or self.settings.deepseek_base_url
+        self.model = model or self.settings.deepseek_model
+        self.timeout = timeout or self.settings.request_timeout
 
         if not self.api_key:
             raise LLMConfigurationError(
@@ -94,7 +96,7 @@ class DeepSeekClient:
         payload = {
             "model": self.model,
             "messages": messages,
-            "temperature": settings.temperature,
+            "temperature": settings.llm_temperature,
         }
 
         # Add tools if provided

alfred/agent/llm/ollama.py

@@ -1,13 +1,13 @@
 """Ollama LLM client with robust error handling."""
 
 import logging
-import os
 from typing import Any
 
 import requests
 from requests.exceptions import HTTPError, RequestException, Timeout
 
-from ..config import settings
+from alfred.settings import Settings
+
 from .exceptions import LLMAPIError, LLMConfigurationError
 
 logger = logging.getLogger(__name__)
@@ -32,6 +32,7 @@ class OllamaClient:
         model: str | None = None,
         timeout: int | None = None,
         temperature: float | None = None,
+        settings: Settings | None = None,
     ):
         """
         Initialize Ollama client.
@@ -45,13 +46,11 @@ class OllamaClient:
         Raises:
             LLMConfigurationError: If configuration is invalid
         """
-        self.base_url = base_url or os.getenv(
-            "OLLAMA_BASE_URL", "http://localhost:11434"
-        )
-        self.model = model or os.getenv("OLLAMA_MODEL", "llama3.2")
+        self.base_url = base_url or settings.ollama_base_url
+        self.model = model or settings.ollama_model
         self.timeout = timeout or settings.request_timeout
         self.temperature = (
-            temperature if temperature is not None else settings.temperature
+            temperature if temperature is not None else settings.llm_temperature
         )
 
         if not self.base_url:

alfred/agent/prompts.py

@@ -3,7 +3,7 @@
 import json
 from typing import Any
 
-from infrastructure.persistence import get_memory
+from alfred.infrastructure.persistence import get_memory
 
 from .registry import Tool
 
@@ -52,7 +52,7 @@ class PromptBuilder:
             # Show first 5 results
             for i, result in enumerate(result_list[:5]):
                 name = result.get("name", "Unknown")
-                lines.append(f"  {i+1}. {name}")
+                lines.append(f"  {i + 1}. {name}")
             if len(result_list) > 5:
                 lines.append(f"  ... and {len(result_list) - 5} more")
 

alfred/agent/registry.py

@@ -78,10 +78,13 @@ def _create_tool_from_function(func: Callable) -> Tool:
     )
 
 
-def make_tools() -> dict[str, Tool]:
+def make_tools(settings) -> dict[str, Tool]:
     """
     Create and register all available tools.
 
+    Args:
+        settings: Application settings instance
+
     Returns:
         Dictionary mapping tool names to Tool objects
     """

alfred/agent/tools/api.py

@@ -3,12 +3,12 @@
 import logging
 from typing import Any
 
-from application.movies import SearchMovieUseCase
-from application.torrents import AddTorrentUseCase, SearchTorrentsUseCase
-from infrastructure.api.knaben import knaben_client
-from infrastructure.api.qbittorrent import qbittorrent_client
-from infrastructure.api.tmdb import tmdb_client
-from infrastructure.persistence import get_memory
+from alfred.application.movies import SearchMovieUseCase
+from alfred.application.torrents import AddTorrentUseCase, SearchTorrentsUseCase
+from alfred.infrastructure.api.knaben import knaben_client
+from alfred.infrastructure.api.qbittorrent import qbittorrent_client
+from alfred.infrastructure.api.tmdb import tmdb_client
+from alfred.infrastructure.persistence import get_memory
 
 logger = logging.getLogger(__name__)
 

alfred/agent/tools/filesystem.py

@@ -2,8 +2,8 @@
 
 from typing import Any
 
-from application.filesystem import ListFolderUseCase, SetFolderPathUseCase
-from infrastructure.filesystem import FileManager
+from alfred.application.filesystem import ListFolderUseCase, SetFolderPathUseCase
+from alfred.infrastructure.filesystem import FileManager
 
 
 def set_path_for_folder(folder_name: str, path_value: str) -> dict[str, Any]:

alfred/agent/tools/language.py

@@ -3,7 +3,7 @@
 import logging
 from typing import Any
 
-from infrastructure.persistence import get_memory
+from alfred.infrastructure.persistence import get_memory
 
 logger = logging.getLogger(__name__)
 

alfred/app.py

@@ -2,22 +2,21 @@
 
 import json
 import logging
-import os
 import time
 import uuid
+from pathlib import Path
 from typing import Any
 
 from fastapi import FastAPI, HTTPException
 from fastapi.responses import JSONResponse, StreamingResponse
-from fastapi.staticfiles import StaticFiles
 from pydantic import BaseModel, Field, validator
 
-from agent.agent import Agent
-from agent.config import settings
-from agent.llm.deepseek import DeepSeekClient
-from agent.llm.exceptions import LLMAPIError, LLMConfigurationError
-from agent.llm.ollama import OllamaClient
-from infrastructure.persistence import get_memory, init_memory
+from alfred.agent.agent import Agent
+from alfred.agent.llm.deepseek import DeepSeekClient
+from alfred.agent.llm.exceptions import LLMAPIError, LLMConfigurationError
+from alfred.agent.llm.ollama import OllamaClient
+from alfred.infrastructure.persistence import get_memory, init_memory
+from alfred.settings import settings
 
 logging.basicConfig(
     level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
@@ -30,38 +29,33 @@ app = FastAPI(
     version="0.2.0",
 )
 
-# TODO: Make a variable
-manifests = "manifests"
-# Sécurité : on vérifie que le dossier existe pour ne pas faire planter l'app au démarrage
-if os.path.exists(manifests):
-    app.mount("/manifests", StaticFiles(directory=manifests), name="manifests")
-else:
-    print(
-        f"⚠️ ATTENTION : Le dossier '{manifests}' est introuvable. Le plugin ne marchera pas."
-    )
-
-# Initialize memory context at startup
-# Use /data/memory in Docker, fallback to memory_data for local dev
-storage_dir = os.getenv("MEMORY_STORAGE_DIR", "memory_data")
-init_memory(storage_dir=storage_dir)
-logger.info(f"Memory context initialized (storage: {storage_dir})")
+memory_path = Path(settings.data_storage) / "memory"
+init_memory(storage_dir=str(memory_path))
+logger.info(f"Memory context initialized (path: {memory_path})")
 
 # Initialize LLM based on environment variable
-llm_provider = os.getenv("LLM_PROVIDER", "deepseek").lower()
+llm_provider = settings.default_llm_provider.lower()
+
 
 try:
-    if llm_provider == "ollama":
-        logger.info("Using Ollama LLM")
-        llm = OllamaClient()
-    else:
+    if llm_provider == "local":
+        logger.info("Using local Ollama LLM")
+        llm = OllamaClient(settings=settings)
+    elif llm_provider == "deepseek":
         logger.info("Using DeepSeek LLM")
         llm = DeepSeekClient()
+    elif llm_provider == "claude":
+        raise ValueError(f"LLM provider not fully implemented: {llm_provider}")
+    else:
+        raise ValueError(f"Unknown LLM provider: {llm_provider}")
 except LLMConfigurationError as e:
     logger.error(f"Failed to initialize LLM: {e}")
     raise
 
 # Initialize agent
-agent = Agent(llm=llm, max_tool_iterations=settings.max_tool_iterations)
+agent = Agent(
+    settings=settings, llm=llm, max_tool_iterations=settings.max_tool_iterations
+)
 logger.info("Agent Media API initialized")
 
 
@@ -116,7 +110,7 @@ def extract_last_user_content(messages: list[dict[str, Any]]) -> str:
 @app.get("/health")
 async def health_check():
     """Health check endpoint."""
-    return {"status": "healthy", "version": "0.2.0"}
+    return {"status": "healthy", "version": f"v{settings.alfred_version}"}
 
 
 @app.get("/v1/models")

alfred/application/filesystem/list_folder.py

@@ -2,7 +2,7 @@
 
 import logging
 
-from infrastructure.filesystem import FileManager
+from alfred.infrastructure.filesystem import FileManager
 
 from .dto import ListFolderResponse
 

alfred/application/filesystem/set_folder_path.py

@@ -2,7 +2,7 @@
 
 import logging
 
-from infrastructure.filesystem import FileManager
+from alfred.infrastructure.filesystem import FileManager
 
 from .dto import SetFolderPathResponse
 

alfred/application/movies/search_movie.py

@@ -2,7 +2,7 @@
 
 import logging
 
-from infrastructure.api.tmdb import (
+from alfred.infrastructure.api.tmdb import (
     TMDBAPIError,
     TMDBClient,
     TMDBConfigurationError,

alfred/application/torrents/add_torrent.py

@@ -2,7 +2,7 @@
 
 import logging
 
-from infrastructure.api.qbittorrent import (
+from alfred.infrastructure.api.qbittorrent import (
     QBittorrentAPIError,
     QBittorrentAuthError,
     QBittorrentClient,

alfred/application/torrents/search_torrents.py

@@ -2,7 +2,11 @@
 
 import logging
 
-from infrastructure.api.knaben import KnabenAPIError, KnabenClient, KnabenNotFoundError
+from alfred.infrastructure.api.knaben import (
+    KnabenAPIError,
+    KnabenClient,
+    KnabenNotFoundError,
+)
 
 from .dto import SearchTorrentsResponse
 

alfred/infrastructure/api/knaben/client.py

@@ -6,7 +6,7 @@ from typing import Any
 import requests
 from requests.exceptions import HTTPError, RequestException, Timeout
 
-from agent.config import Settings, settings
+from alfred.settings import Settings, settings
 
 from .dto import TorrentResult
 from .exceptions import KnabenAPIError, KnabenNotFoundError

alfred/infrastructure/api/qbittorrent/client.py

@@ -6,7 +6,7 @@ from typing import Any
 import requests
 from requests.exceptions import HTTPError, RequestException, Timeout
 
-from agent.config import Settings, settings
+from alfred.settings import Settings, settings
 
 from .dto import TorrentInfo
 from .exceptions import QBittorrentAPIError, QBittorrentAuthError

alfred/infrastructure/api/tmdb/client.py

@@ -6,7 +6,7 @@ from typing import Any
 import requests
 from requests.exceptions import HTTPError, RequestException, Timeout
 
-from agent.config import Settings, settings
+from alfred.settings import Settings, settings
 
 from .dto import MediaResult
 from .exceptions import (

alfred/infrastructure/filesystem/file_manager.py

@@ -7,7 +7,7 @@ from enum import Enum
 from pathlib import Path
 from typing import Any
 
-from infrastructure.persistence import get_memory
+from alfred.infrastructure.persistence import get_memory
 
 from .exceptions import PathTraversalError
 

alfred/infrastructure/filesystem/organizer.py

@@ -3,9 +3,9 @@
 import logging
 from pathlib import Path
 
-from domain.movies.entities import Movie
-from domain.tv_shows.entities import Episode, Season, TVShow
-from domain.tv_shows.value_objects import SeasonNumber
+from alfred.domain.movies.entities import Movie
+from alfred.domain.tv_shows.entities import Episode, Season, TVShow
+from alfred.domain.tv_shows.value_objects import SeasonNumber
 
 logger = logging.getLogger(__name__)
 

alfred/infrastructure/persistence/context.py

@@ -6,7 +6,7 @@ without passing it explicitly through all function calls.
 
 Usage:
     # At application startup
-    from infrastructure.persistence import init_memory, get_memory
+    from alfred.infrastructure.persistence import init_memory, get_memory
 
     init_memory("memory_data")
 

alfred/infrastructure/persistence/json/movie_repository.py

@@ -4,11 +4,11 @@ import logging
 from datetime import datetime
 from typing import Any
 
-from domain.movies.entities import Movie
-from domain.movies.repositories import MovieRepository
-from domain.movies.value_objects import MovieTitle, Quality, ReleaseYear
-from domain.shared.value_objects import FilePath, FileSize, ImdbId
-from infrastructure.persistence import get_memory
+from alfred.domain.movies.entities import Movie
+from alfred.domain.movies.repositories import MovieRepository
+from alfred.domain.movies.value_objects import MovieTitle, Quality, ReleaseYear
+from alfred.domain.shared.value_objects import FilePath, FileSize, ImdbId
+from alfred.infrastructure.persistence import get_memory
 
 logger = logging.getLogger(__name__)
 

alfred/infrastructure/persistence/json/subtitle_repository.py

@@ -3,11 +3,11 @@
 import logging
 from typing import Any
 
-from domain.shared.value_objects import FilePath, ImdbId
-from domain.subtitles.entities import Subtitle
-from domain.subtitles.repositories import SubtitleRepository
-from domain.subtitles.value_objects import Language, SubtitleFormat, TimingOffset
-from infrastructure.persistence import get_memory
+from alfred.domain.shared.value_objects import FilePath, ImdbId
+from alfred.domain.subtitles.entities import Subtitle
+from alfred.domain.subtitles.repositories import SubtitleRepository
+from alfred.domain.subtitles.value_objects import Language, SubtitleFormat, TimingOffset
+from alfred.infrastructure.persistence import get_memory
 
 logger = logging.getLogger(__name__)
 

alfred/infrastructure/persistence/json/tvshow_repository.py

@@ -4,11 +4,11 @@ import logging
 from datetime import datetime
 from typing import Any
 
-from domain.shared.value_objects import ImdbId
-from domain.tv_shows.entities import TVShow
-from domain.tv_shows.repositories import TVShowRepository
-from domain.tv_shows.value_objects import ShowStatus
-from infrastructure.persistence import get_memory
+from alfred.domain.shared.value_objects import ImdbId
+from alfred.domain.tv_shows.entities import TVShow
+from alfred.domain.tv_shows.repositories import TVShowRepository
+from alfred.domain.tv_shows.value_objects import ShowStatus
+from alfred.infrastructure.persistence import get_memory
 
 logger = logging.getLogger(__name__)
 

alfred/settings.py

@@ -0,0 +1,209 @@
+import secrets
+from pathlib import Path
+from typing import NamedTuple
+
+import tomllib
+from pydantic import Field, computed_field, field_validator
+from pydantic_settings import BaseSettings, SettingsConfigDict
+
+BASE_DIR = Path(__file__).resolve().parent.parent
+ENV_FILE_PATH = BASE_DIR / ".env"
+toml_path = BASE_DIR / "pyproject.toml"
+
+
+class ConfigurationError(Exception):
+    """Raised when configuration is invalid."""
+
+    pass
+
+
+class ProjectVersions(NamedTuple):
+    """
+    Immutable structure for project versions.
+    Forces explicit naming and prevents accidental swaps.
+    """
+
+    librechat: str
+    rag: str
+    alfred: str
+
+
+def get_versions_from_toml() -> ProjectVersions:
+    """
+    Reads versioning information from pyproject.toml.
+    Returns the default value if the file or key is missing.
+    """
+
+    if not toml_path.exists():
+        raise FileNotFoundError(f"pyproject.toml not found: {toml_path}")
+
+    with open(toml_path, "rb") as f:
+        data = tomllib.load(f)
+        try:
+            return ProjectVersions(
+                librechat=data["tool"]["alfred"]["settings"]["librechat_version"],
+                rag=data["tool"]["alfred"]["settings"]["rag_version"],
+                alfred=data["tool"]["poetry"]["version"],
+            )
+        except KeyError as e:
+            raise KeyError(f"Error: Missing key {e} in pyproject.toml") from e
+
+
+# Load versions once
+VERSIONS: ProjectVersions = get_versions_from_toml()
+
+
+class Settings(BaseSettings):
+    model_config = SettingsConfigDict(
+        env_file=ENV_FILE_PATH,
+        env_file_encoding="utf-8",
+        extra="ignore",
+        case_sensitive=False,
+    )
+    # --- GENERAL SETTINGS ---
+    host: str = "0.0.0.0"
+    port: int = 3080
+    debug_logging: bool = False
+    debug_console: bool = False
+    data_storage: str = "data"
+    librechat_version: str = Field(VERSIONS.librechat, description="Librechat version")
+    rag_version: str = Field(VERSIONS.rag, description="RAG engine version")
+    alfred_version: str = Field(VERSIONS.alfred, description="Alfred version")
+
+    # --- CONTEXT SETTINGS ---
+    max_history_messages: int = 10
+    max_tool_iterations: int = 10
+    request_timeout: int = 30
+
+    # TODO: Finish
+    deepseek_base_url: str = "https://api.deepseek.com"
+    deepseek_model: str = "deepseek-chat"
+
+    # --- API KEYS ---
+    anthropic_api_key: str | None = Field(None, description="Claude API key")
+    deepseek_api_key: str | None = Field(None, description="Deepseek API key")
+    google_api_key: str | None = Field(None, description="Gemini API key")
+    kimi_api_key: str | None = Field(None, description="Kimi API key")
+    openai_api_key: str | None = Field(None, description="ChatGPT API key")
+
+    # --- SECURITY KEYS ---
+    # Generated automatically if not in .env to ensure "Secure by Default"
+    jwt_secret: str = Field(default_factory=lambda: secrets.token_urlsafe(32))
+    jwt_refresh_secret: str = Field(default_factory=lambda: secrets.token_urlsafe(32))
+
+    # We keep these for encryption of keys in MongoDB (AES-256 Hex format)
+    creds_key: str = Field(default_factory=lambda: secrets.token_hex(32))
+    creds_iv: str = Field(default_factory=lambda: secrets.token_hex(16))
+
+    # --- SERVICES ---
+    qbittorrent_url: str = "http://qbittorrent:16140"
+    qbittorrent_username: str = "admin"
+    qbittorrent_password: str = Field(default_factory=lambda: secrets.token_urlsafe(16))
+
+    mongo_host: str = "mongodb"
+    mongo_user: str = "alfred"
+    mongo_password: str = Field(
+        default_factory=lambda: secrets.token_urlsafe(24), repr=False, exclude=True
+    )
+    mongo_port: int = 27017
+    mongo_db_name: str = "alfred"
+
+    @computed_field(repr=False)
+    @property
+    def mongo_uri(self) -> str:
+        return (
+            f"mongodb://{self.mongo_user}:{self.mongo_password}"
+            f"@{self.mongo_host}:{self.mongo_port}/{self.mongo_db_name}"
+            f"?authSource=admin"
+        )
+
+    postgres_host: str = "vectordb"
+    postgres_user: str = "alfred"
+    postgres_password: str = Field(
+        default_factory=lambda: secrets.token_urlsafe(24), repr=False, exclude=True
+    )
+    postgres_port: int = 5432
+    postgres_db_name: str = "alfred"
+
+    @computed_field(repr=False)
+    @property
+    def postgres_uri(self) -> str:
+        return (
+            f"postgresql://{self.postgres_user}:{self.postgres_password}"
+            f"@{self.postgres_host}:{self.postgres_port}/{self.postgres_db_name}"
+        )
+
+    tmdb_api_key: str | None = Field(None, description="The Movie Database API key")
+    tmdb_base_url: str = "https://api.themoviedb.org/3"
+
+    # --- LLM PICKER & CONFIG ---
+    # Providers: 'local', 'deepseek', ...
+    default_llm_provider: str = "local"
+    ollama_base_url: str = "http://ollama:11434"
+    # Models: ...
+    ollama_model: str = "llama3.3:latest"
+    llm_temperature: float = 0.2
+
+    # --- RAG ENGINE ---
+    rag_enabled: bool = True  # TODO: Handle False
+    rag_api_url: str = "http://rag_api:8000"
+    embeddings_provider: str = "ollama"
+    # Models: ...
+    embeddings_model: str = "nomic-embed-text"
+
+    # --- MEILISEARCH ---
+    meili_enabled: bool = Field(True, description="Enable meili")
+    meili_no_analytics: bool = True
+    meili_host: str = "http://meilisearch:7700"
+    meili_master_key: str = Field(
+        default_factory=lambda: secrets.token_urlsafe(32),
+        description="Master key for Meilisearch",
+        repr=False,
+    )
+
+    # --- VALIDATORS ---
+    @field_validator("llm_temperature")
+    @classmethod
+    def validate_temperature(cls, v: float) -> float:
+        if not 0.0 <= v <= 2.0:
+            raise ConfigurationError(
+                f"Temperature must be between 0.0 and 2.0, got {v}"
+            )
+        return v
+
+    @field_validator("max_tool_iterations")
+    @classmethod
+    def validate_max_iterations(cls, v: int) -> int:
+        if not 1 <= v <= 20:
+            raise ConfigurationError(
+                f"max_tool_iterations must be between 1 and 50, got {v}"
+            )
+        return v
+
+    @field_validator("request_timeout")
+    @classmethod
+    def validate_timeout(cls, v: int) -> int:
+        if not 1 <= v <= 300:
+            raise ConfigurationError(
+                f"request_timeout must be between 1 and 300 seconds, got {v}"
+            )
+        return v
+
+    @field_validator("deepseek_base_url", "tmdb_base_url")
+    @classmethod
+    def validate_url(cls, v: str, info) -> str:
+        if not v.startswith(("http://", "https://")):
+            raise ConfigurationError(f"Invalid {info.field_name}")
+        return v
+
+    def is_tmdb_configured(self):
+        return bool(self.tmdb_api_key)
+
+    def is_deepseek_configured(self):
+        return bool(self.deepseek_api_key)
+
+    def dump_safe(self):
+        return self.model_dump(exclude_none=False)
+
+
+settings = Settings()

brain/agent/config.py

@@ -1,115 +0,0 @@
-"""Configuration management with validation."""
-
-import os
-from dataclasses import dataclass, field
-from pathlib import Path
-
-from dotenv import load_dotenv
-
-# Load environment variables from .env file
-load_dotenv()
-
-
-class ConfigurationError(Exception):
-    """Raised when configuration is invalid."""
-
-    pass
-
-
-@dataclass
-class Settings:
-    """Application settings loaded from environment variables."""
-
-    # LLM Configuration
-    deepseek_api_key: str = field(
-        default_factory=lambda: os.getenv("DEEPSEEK_API_KEY", "")
-    )
-    deepseek_base_url: str = field(
-        default_factory=lambda: os.getenv(
-            "DEEPSEEK_BASE_URL", "https://api.deepseek.com"
-        )
-    )
-    model: str = field(
-        default_factory=lambda: os.getenv("DEEPSEEK_MODEL", "deepseek-chat")
-    )
-    temperature: float = field(
-        default_factory=lambda: float(os.getenv("TEMPERATURE", "0.2"))
-    )
-
-    # TMDB Configuration
-    tmdb_api_key: str = field(default_factory=lambda: os.getenv("TMDB_API_KEY", ""))
-    tmdb_base_url: str = field(
-        default_factory=lambda: os.getenv(
-            "TMDB_BASE_URL", "https://api.themoviedb.org/3"
-        )
-    )
-
-    # Storage Configuration
-    memory_file: str = field(
-        default_factory=lambda: os.getenv("MEMORY_FILE", "memory.json")
-    )
-
-    # Security Configuration
-    max_tool_iterations: int = field(
-        default_factory=lambda: int(os.getenv("MAX_TOOL_ITERATIONS", "5"))
-    )
-    request_timeout: int = field(
-        default_factory=lambda: int(os.getenv("REQUEST_TIMEOUT", "30"))
-    )
-
-    # Memory Configuration
-    max_history_messages: int = field(
-        default_factory=lambda: int(os.getenv("MAX_HISTORY_MESSAGES", "10"))
-    )
-
-    def __post_init__(self):
-        """Validate settings after initialization."""
-        self._validate()
-
-    def _validate(self) -> None:
-        """Validate configuration values."""
-        # Validate temperature
-        if not 0.0 <= self.temperature <= 2.0:
-            raise ConfigurationError(
-                f"Temperature must be between 0.0 and 2.0, got {self.temperature}"
-            )
-
-        # Validate max_tool_iterations
-        if self.max_tool_iterations < 1 or self.max_tool_iterations > 20:
-            raise ConfigurationError(
-                f"max_tool_iterations must be between 1 and 20, got {self.max_tool_iterations}"
-            )
-
-        # Validate request_timeout
-        if self.request_timeout < 1 or self.request_timeout > 300:
-            raise ConfigurationError(
-                f"request_timeout must be between 1 and 300 seconds, got {self.request_timeout}"
-            )
-
-        # Validate URLs
-        if not self.deepseek_base_url.startswith(("http://", "https://")):
-            raise ConfigurationError(
-                f"Invalid deepseek_base_url: {self.deepseek_base_url}"
-            )
-
-        if not self.tmdb_base_url.startswith(("http://", "https://")):
-            raise ConfigurationError(f"Invalid tmdb_base_url: {self.tmdb_base_url}")
-
-        # Validate memory file path
-        memory_path = Path(self.memory_file)
-        if memory_path.exists() and not memory_path.is_file():
-            raise ConfigurationError(
-                f"memory_file exists but is not a file: {self.memory_file}"
-            )
-
-    def is_deepseek_configured(self) -> bool:
-        """Check if DeepSeek API is properly configured."""
-        return bool(self.deepseek_api_key and self.deepseek_base_url)
-
-    def is_tmdb_configured(self) -> bool:
-        """Check if TMDB API is properly configured."""
-        return bool(self.tmdb_api_key and self.tmdb_base_url)
-
-
-# Global settings instance
-settings = Settings()

cli.py

@@ -0,0 +1,231 @@
+#!/usr/bin/env python3
+import os
+import secrets
+import shutil
+import subprocess
+import sys
+from datetime import datetime
+from enum import StrEnum
+from pathlib import Path
+from typing import NoReturn
+
+REQUIRED_VARS = ["DEEPSEEK_API_KEY", "TMDB_API_KEY", "QBITTORRENT_URL"]
+
+# Size in bytes
+KEYS_TO_GENERATE = {
+    "JWT_SECRET": 32,
+    "JWT_REFRESH_SECRET": 32,
+    "CREDS_KEY": 32,
+    "CREDS_IV": 16,
+}
+
+
+class Style(StrEnum):
+    """ANSI codes for styling output.
+    Usage: f"{Style.RED}Error{Style.RESET}"
+    """
+
+    RESET = "\033[0m"
+    BOLD = "\033[1m"
+    RED = "\033[31m"
+    GREEN = "\033[32m"
+    YELLOW = "\033[33m"
+    CYAN = "\033[36m"
+    DIM = "\033[2m"
+
+
+# Only for terminals and if not specified otherwise
+USE_COLORS = sys.stdout.isatty() and "NO_COLOR" not in os.environ
+
+
+def styled(text: str, color_code: str) -> str:
+    """Apply color only if supported by the terminal."""
+    if USE_COLORS:
+        return f"{color_code}{text}{Style.RESET}"
+    return text
+
+
+def log(msg: str, color: str | None = None, prefix="") -> None:
+    """Print a formatted message."""
+    formatted_msg = styled(msg, color) if color else msg
+    print(f"{prefix}{formatted_msg}")
+
+
+def error_exit(msg: str) -> NoReturn:
+    """Print an error message in red and exit."""
+    log(f"❌ {msg}", Style.RED)
+    sys.exit(1)
+
+
+def is_docker_running() -> bool:
+    """ "Check if Docker is available and responsive."""
+    if shutil.which("docker") is None:
+        error_exit("Docker is not installed.")
+
+    result = subprocess.run(
+        ["docker", "info"],
+        # Redirect stdout/stderr to keep output clean on success
+        stdout=subprocess.DEVNULL,
+        stderr=subprocess.DEVNULL,
+        # Prevent exception being raised
+        check=False,
+    )
+    return result.returncode == 0
+
+
+def parse_env(content: str) -> dict[str, str]:
+    """Parses existing keys and values into a dict (ignoring comments)."""
+    env_vars = {}
+    for raw_line in content.splitlines():
+        line = raw_line.strip()
+        if line and not line.startswith("#") and "=" in line:
+            key, value = line.split("=", 1)
+            env_vars[key.strip()] = value.strip()
+
+    return env_vars
+
+
+def dump_env(content: str, data: dict[str, str]) -> str:
+    new_content: list[str] = []
+    processed_keys = set()
+
+    for raw_line in content.splitlines():
+        line = raw_line.strip()
+        # Fast line (empty, comment or not an assignation)
+        if len(line) == 0 or line.startswith("#") or "=" not in line:
+            new_content.append(raw_line)
+            continue
+
+        # Slow line (inline comment to be kept)
+        key_chunk, value_chunk = raw_line.split("=", 1)
+        key = key_chunk.strip()
+
+        # Not in the update list
+        if key not in data:
+            new_content.append(raw_line)
+            continue
+
+        processed_keys.add(key)
+        new_value = data[key]
+
+        if " #" not in value_chunk:
+            new_line = f"{key_chunk}={new_value}"
+        else:
+            _, comment = value_chunk.split(" #", 1)
+            new_line = f"{key_chunk}={new_value} #{comment}"
+
+        new_content.append(new_line)
+
+    for key, value in data.items():
+        if key not in processed_keys:
+            new_content.append(f"{key}={value}")
+
+    return "\n".join(new_content) + "\n"
+
+
+def ensure_env() -> None:
+    """Manage .env lifecycle: creation, secret generation, prompts."""
+    env_path = Path(".env")
+    env_example_path = Path(".env.example")
+    updated: bool = False
+
+    # Read .env if exists
+    if env_path.exists():
+        content: str = env_path.read_text(encoding="utf-8")
+    else:
+        content: str = env_example_path.read_text(encoding="utf-8")
+
+    existing_vars: dict[str, str] = parse_env(content)
+
+    # Generate missing secrets
+    for key, length in KEYS_TO_GENERATE.items():
+        if key not in existing_vars or not existing_vars[key]:
+            log(f"Generating {key}...", Style.GREEN, prefix="   ")
+            existing_vars[key] = secrets.token_hex(length)
+            updated = True
+            log("Done", Style.GREEN, prefix="   ")
+
+    # Prompt for missing mandatory keys
+    color = Style.YELLOW if USE_COLORS else ""
+    reset = Style.RESET if USE_COLORS else ""
+    for key in REQUIRED_VARS:
+        if key not in existing_vars or not existing_vars[key]:
+            try:
+                existing_vars[key] = input(
+                    f"   {color}Enter value for {key}: {reset}"
+                ).strip()
+                updated = True
+            except KeyboardInterrupt:
+                print()
+                error_exit("Aborted by user.")
+
+    # Write to disk
+    if updated:
+        # But backup original first
+        if env_path.exists():
+            timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
+            backup_path = Path(f"{env_path}.{timestamp}.bak")
+            shutil.copy(env_path, backup_path)
+            log(f"Backup created: {backup_path}", Style.DIM)
+
+        new_content = dump_env(content, existing_vars)
+        env_path.write_text(new_content, encoding="utf-8")
+        log(".env updated successfully.", Style.GREEN)
+    else:
+        log("Configuration is up to date.", Style.GREEN)
+
+
+def setup() -> None:
+    """Orchestrate initialization."""
+    is_docker_running()
+    ensure_env()
+
+
+def status() -> None:
+    """Display simple dashboard."""
+    # Hardcoded bold style for title if colors are enabled
+    title_style = Style.BOLD if USE_COLORS else ""
+    reset_style = Style.RESET if USE_COLORS else ""
+
+    print(f"\n{title_style}ALFRED STATUS{reset_style}")
+    print(f"{title_style}==============={reset_style}\n")
+
+    # Docker Check
+    if is_docker_running():
+        print(f"   Docker:  {styled('✓ running', Style.GREEN)}")
+    else:
+        print(f"   Docker:  {styled('✗ stopped', Style.RED)}")
+
+    # Env Check
+    if Path(".env").exists():
+        print(f"   .env:    {styled('✓ present', Style.GREEN)}")
+    else:
+        print(f"   .env:    {styled('✗ missing', Style.RED)}")
+
+    print("")
+
+
+def check() -> None:
+    """Silent check for prerequisites (used by 'make up')."""
+    setup()
+
+
+def main() -> None:
+    if len(sys.argv) < 2:
+        print("Usage: python cli.py [setup|check|status]")
+        sys.exit(1)
+
+    cmd = sys.argv[1]
+
+    if cmd == "setup":
+        setup()
+    elif cmd == "check":
+        check()
+    elif cmd == "status":
+        status()
+    else:
+        error_exit(f"Unknown command: {cmd}")
+
+
+if __name__ == "__main__":
+    main()

docker-compose.yaml

@@ -0,0 +1,206 @@
+services:
+  # - CORE SERVICES -
+  # --- .ENV INIT ---
+  alfred-init:
+    container_name: alfred-init
+    build:
+      context: .
+      target: builder
+      args:
+        PYTHON_VERSION: ${PYTHON_VERSION}
+        PYTHON_VERSION_SHORT: ${PYTHON_VERSION_SHORT}
+        RUNNER: ${RUNNER}
+    command: python scripts/bootstrap.py
+    networks:
+      - alfred-net
+
+  # --- MAIN APPLICATION ---
+  alfred:
+    container_name: alfred-core
+    build:
+      context: .
+      args:
+        PYTHON_VERSION: ${PYTHON_VERSION}
+        PYTHON_VERSION_SHORT: ${PYTHON_VERSION_SHORT}
+        RUNNER: ${RUNNER}
+    depends_on:
+      alfred-init:
+        condition: service_completed_successfully
+    restart: unless-stopped
+    env_file:
+      - path: .env
+        required: true
+    volumes:
+      - ./data:/data
+      - ./logs:/logs
+      # TODO: Hot reload (comment out in production)
+      #- ./alfred:/home/appuser/alfred
+    networks:
+      - alfred-net
+
+  # --- FRONTEND LIBRECHAT ---
+  librechat:
+    container_name: alfred-librechat
+    image: ghcr.io/danny-avila/librechat:${LIBRECHAT_VERSION}
+    depends_on:
+      alfred-init:
+        condition: service_completed_successfully
+      mongodb:
+        condition: service_healthy
+    restart: unless-stopped
+    env_file:
+      - path: .env
+        required: true
+    environment:
+      # Remap value name
+      - SEARCH=${MEILI_ENABLED}
+    ports:
+      - "${PORT}:${PORT}"
+    volumes:
+      - ./data/librechat/images:/app/client/public/images
+      - ./data/librechat/uploads:/app/client/uploads
+      - ./logs:/app/api/logs
+      # Mount custom endpoint
+      - ./librechat/manifests:/app/manifests:ro
+      - ./librechat/librechat.yaml:/app/librechat.yaml:ro
+    networks:
+      - alfred-net
+
+  # --- DATABASE #1 - APP STATE ---
+  mongodb:
+    container_name: alfred-mongodb
+    image: mongo:latest
+    restart: unless-stopped
+    depends_on:
+      alfred-init:
+        condition: service_completed_successfully
+    env_file:
+      - path: .env
+        required: true
+    environment:
+      # Remap value name
+      - MONGO_INITDB_ROOT_USERNAME=${MONGO_USER}
+      - MONGO_INITDB_ROOT_PASSWORD=${MONGO_PASSWORD}
+    ports:
+      - "${MONGO_PORT}:${MONGO_PORT}"
+    volumes:
+      - ./data/mongo:/data/db
+    command: mongod --quiet --setParameter logComponentVerbosity='{"network":{"verbosity":0}}'
+    healthcheck:
+      test: |
+        mongosh --quiet --eval "db.adminCommand('ping')" || \
+        mongosh --quiet -u "${MONGO_USER}" -p "${MONGO_PASSWORD}" --authenticationDatabase admin --eval "db.adminCommand('ping')"
+      interval: 10s
+      timeout: 5s
+      retries: 5
+    networks:
+      - alfred-net
+
+  # --- OLLAMA - LOCAL LLM ENGINE ---
+  ollama:
+    image: ollama/ollama:latest
+    container_name: alfred-ollama
+    depends_on:
+      alfred-init:
+        condition: service_completed_successfully
+    restart: unless-stopped
+    env_file:
+      - path: .env
+        required: true
+    volumes:
+      - ./data/ollama:/root/.ollama
+    networks:
+      - alfred-net
+
+  # - OPTIONAL SERVICES -
+  # --- SEARCH ENGINE SUPER FAST (Optional) ---
+  meilisearch:
+    container_name: alfred-meilisearch
+    image: getmeili/meilisearch:v1.12.3
+    depends_on:
+      alfred-init:
+        condition: service_completed_successfully
+    restart: unless-stopped
+    env_file:
+      - path: .env
+        required: true
+    volumes:
+      - ./data/meilisearch:/meili_data
+    profiles: ["meili", "full"]
+    networks:
+      - alfred-net
+
+  # --- RETRIEVAL AUGMENTED GENERATION SYSTEM (Optional) ---
+  rag_api:
+    container_name: alfred-rag
+    image: ghcr.io/danny-avila/librechat-rag-api-dev-lite:${RAG_VERSION}
+    depends_on:
+      alfred-init:
+        condition: service_completed_successfully
+      vectordb:
+        condition: service_healthy
+    restart: unless-stopped
+    env_file:
+      - path: .env
+        required: true
+    ports:
+      - "${RAG_API_PORT}:${RAG_API_PORT}"
+    volumes:
+      - ./data/rag/uploads:/app/uploads
+    profiles: ["rag", "full"]
+    networks:
+      - alfred-net
+
+  # --- DATABASE #2 - Vector RAG (Optional) ---
+  vectordb:
+    container_name: alfred-vectordb
+    image: pgvector/pgvector:0.8.0-pg16-bookworm
+    depends_on:
+      alfred-init:
+        condition: service_completed_successfully
+    restart: unless-stopped
+    env_file:
+      - path: .env
+        required: true
+    ports:
+      - "${POSTGRES_PORT}:${POSTGRES_PORT}"
+    volumes:
+      - ./data/vectordb:/var/lib/postgresql/data
+    profiles: ["rag", "full"]
+    healthcheck:
+      test: [ "CMD-SHELL", "pg_isready -U ${POSTGRES_USER:-alfred} -d ${POSTGRES_DB_NAME:-alfred}" ]
+      interval: 5s
+      timeout: 5s
+      retries: 5
+    networks:
+      - alfred-net
+
+  # --- QBITTORENT (Optional) ---
+  qbittorrent:
+    image: lscr.io/linuxserver/qbittorrent:latest
+    container_name: alfred-qbittorrent
+    depends_on:
+      alfred-init:
+        condition: service_completed_successfully
+    restart: unless-stopped
+    env_file:
+      - path: .env
+        required: true
+    environment:
+      - PUID=1000
+      - PGID=1000
+      - TZ=Europe/Paris
+      - WEBUI_PORT=${QBITTORRENT_PORT}
+    volumes:
+      - ./data/qbittorrent/config:/config
+      - ./data/qbittorrent/downloads:/downloads
+    profiles: ["qbittorrent", "full"]
+    ports:
+      - "${QBITTORRENT_PORT}:${QBITTORRENT_PORT}"
+    networks:
+      - alfred-net
+
+networks:
+  alfred-net:
+    name: alfred-internal
+    driver: bridge

docker-compose.yml

@@ -1,207 +0,0 @@
-version: "3.4"
-
-services:
-  # Da brain
-  agent-brain:
-    build:
-      context: ./brain
-      dockerfile: Dockerfile
-      args:
-        RUNNER: ${RUNNER} # Get it from Makefile
-    container_name: agent-brain
-    restart: unless-stopped
-    env_file: .env
-    ports:
-      - "8000:8000"
-    volumes:
-      # Persistent data volumes (outside container /app)
-      - agent-memory:/data/memory
-      - agent-logs:/data/logs
-      # Development: mount code for hot reload (comment out in production)
-      # - ./brain:/app
-    environment:
-      # LLM Configuration
-      LLM_PROVIDER: ${LLM_PROVIDER:-deepseek}
-      DEEPSEEK_API_KEY: ${DEEPSEEK_API_KEY:-}
-
-      # Memory storage
-      MEMORY_STORAGE_DIR: /data/memory
-
-      # External services
-      TMDB_API_KEY: ${TMDB_API_KEY:-}
-      QBITTORRENT_URL: ${QBITTORRENT_URL:-}
-      QBITTORRENT_USERNAME: ${QBITTORRENT_USERNAME:-}
-      QBITTORRENT_PASSWORD: ${QBITTORRENT_PASSWORD:-}
-    networks:
-      - agent-network
-
-  # Da face (LibreChat)
-  librechat:
-    image: ghcr.io/danny-avila/librechat-dev:latest
-    container_name: librechat-frontend
-    restart: unless-stopped
-    ports:
-      - "3080:3080"
-    depends_on:
-      - mongodb
-      - meilisearch
-      - rag_api
-      - agent-brain
-    env_file: .env
-    environment:
-      # MongoDB connection (no auth, matching LibreChat default)
-      MONGO_URI: mongodb://mongodb:27017/LibreChat
-
-      # App configuration
-      HOST: 0.0.0.0
-      PORT: 3080
-
-      # Security
-      JWT_SECRET: ${JWT_SECRET:-your-super-secret-jwt-key-change-this-in-production}
-      JWT_REFRESH_SECRET: ${JWT_REFRESH_SECRET:-your-super-secret-refresh-key-change-this-too}
-      CREDS_KEY: ${CREDS_KEY:-your-32-character-secret-key-here}
-      CREDS_IV: ${CREDS_IV:-your-16-character-iv-here}
-
-      # Session
-      SESSION_EXPIRY: ${SESSION_EXPIRY:-1000 * 60 * 15}
-      REFRESH_TOKEN_EXPIRY: ${REFRESH_TOKEN_EXPIRY:-1000 * 60 * 60 * 24 * 7}
-
-      # Domain
-      DOMAIN_CLIENT: ${DOMAIN_CLIENT:-http://localhost:3080}
-      DOMAIN_SERVER: ${DOMAIN_SERVER:-http://localhost:3080}
-
-      # Meilisearch
-      MEILI_HOST: http://meilisearch:7700
-      MEILI_MASTER_KEY: ${MEILI_MASTER_KEY:-DrhYf7zENyR6AlUCKmnz0eYASOQdl6zxH7s7MKFSfFU}
-
-      # RAG API
-      RAG_API_URL: http://rag_api:8000
-
-      # Endpoints
-      ENDPOINTS: custom
-
-      # Custom endpoint pointing to agent-brain
-      CUSTOM_API_KEY: ${AGENT_BRAIN_API_KEY:-agent-brain-secret-key}
-
-      # Debug (optional)
-      DEBUG_LOGGING: ${DEBUG_LOGGING:-false}
-      DEBUG_CONSOLE: ${DEBUG_CONSOLE:-false}
-    volumes:
-      - ./librechat/librechat.yaml:/app/librechat.yaml:ro
-      - librechat-images:/app/client/public/images
-      - librechat-logs:/app/api/logs
-    networks:
-      - agent-network
-
-  # MongoDB for LibreChat
-  mongodb:
-    image: mongo:latest
-    container_name: librechat-mongodb
-    restart: unless-stopped
-    volumes:
-      - mongodb-data:/data/db
-    command: mongod --noauth
-    ports:
-      - "27017:27017"
-    networks:
-      - agent-network
-
-  # Meilisearch - Search engine for LibreChat
-  #TODO: Follow currently used version on librechat's github
-  meilisearch:
-    image: getmeili/meilisearch:v1.12.3
-    container_name: librechat-meilisearch
-    restart: unless-stopped
-    volumes:
-      - meilisearch-data:/meili_data
-    environment:
-      MEILI_HOST: http://meilisearch:7700
-      MEILI_HTTP_ADDR: meilisearch:7700
-      MEILI_MASTER_KEY: ${MEILI_MASTER_KEY:-DrhYf7zENyR6AlUCKmnz0eYASOQdl6zxH7s7MKFSfFU}
-    ports:
-      - "7700:7700"
-    networks:
-      - agent-network
-
-  # PostgreSQL with pgvector for RAG API
-  pgvector:
-    image: ankane/pgvector:latest
-    container_name: librechat-pgvector
-    restart: unless-stopped
-    environment:
-      POSTGRES_DB: ${POSTGRES_DB:-librechat_rag}
-      POSTGRES_USER: ${POSTGRES_USER:-postgres}
-      POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-postgres}
-    volumes:
-      - pgvector-data:/var/lib/postgresql/data
-    ports:
-      - "5432:5432"
-    networks:
-      - agent-network
-
-  # RAG API - Vector database for LibreChat
-  rag_api:
-    image: ghcr.io/danny-avila/librechat-rag-api-dev-lite:latest
-    container_name: librechat-rag-api
-    restart: unless-stopped
-    depends_on:
-      - pgvector
-    environment:
-      PORT: 8000
-      HOST: 0.0.0.0
-      # PostgreSQL connection (multiple variable names for compatibility)
-      DB_HOST: pgvector
-      DB_PORT: 5432
-      DB_NAME: ${POSTGRES_DB:-librechat_rag}
-      DB_USER: ${POSTGRES_USER:-postgres}
-      DB_PASSWORD: ${POSTGRES_PASSWORD:-postgres}
-      POSTGRES_DB: ${POSTGRES_DB:-librechat_rag}
-      POSTGRES_USER: ${POSTGRES_USER:-postgres}
-      POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-postgres}
-      # RAG configuration
-      COLLECTION_NAME: ${RAG_COLLECTION_NAME:-testcollection}
-      EMBEDDINGS_PROVIDER: ${RAG_EMBEDDINGS_PROVIDER:-openai}
-      EMBEDDINGS_MODEL: ${RAG_EMBEDDINGS_MODEL:-text-embedding-3-small}
-      OPENAI_API_KEY: ${OPENAI_API_KEY:-}
-      RAG_UPLOAD_DIR: /app/uploads
-    volumes:
-      - rag-uploads:/app/uploads
-    ports:
-      - "8001:8000"
-    networks:
-      - agent-network
-
-# Named volumes for persistent data
-volumes:
-  # MongoDB data
-  mongodb-data:
-    driver: local
-
-  # Meilisearch data
-  meilisearch-data:
-    driver: local
-
-  # PostgreSQL pgvector data
-  pgvector-data:
-    driver: local
-
-  # RAG API uploads
-  rag-uploads:
-    driver: local
-
-  # LibreChat data
-  librechat-images:
-    driver: local
-  librechat-logs:
-    driver: local
-
-  # Agent Brain data
-  agent-memory:
-    driver: local
-  agent-logs:
-    driver: local
-
-# Network for inter-service communication
-networks:
-  agent-network:
-    driver: bridge

generate-keys.sh

@@ -1,27 +0,0 @@
-#!/bin/bash
-
-# Script to generate secure keys for LibreChat
-# Run this script to generate random secure keys for your .env file
-
-echo "==================================="
-echo "LibreChat Security Keys Generator"
-echo "==================================="
-echo ""
-
-echo "# MongoDB Password"
-echo "MONGO_PASSWORD=$(openssl rand -base64 24)"
-echo ""
-
-echo "# JWT Secrets"
-echo "JWT_SECRET=$(openssl rand -base64 32)"
-echo "JWT_REFRESH_SECRET=$(openssl rand -base64 32)"
-echo ""
-
-echo "# Credentials Encryption Keys"
-echo "CREDS_KEY=$(openssl rand -hex 16)"
-echo "CREDS_IV=$(openssl rand -hex 8)"
-echo ""
-
-echo "==================================="
-echo "Copy these values to your .env file"
-echo "==================================="

librechat/librechat.yaml

@@ -4,6 +4,16 @@
 version: 1.2.1
 cache: true
 endpoints:
+  anthropic:
+    apiKey: "${ANTHROPIC_API_KEY}"
+    models:
+      default: ["claude-sonnet-4-5", "claude-haiku-4-5", "claude-opus-4-5"]
+      fetch: false
+    titleConvo: true
+    titleModel: "claude-haiku-4-5"
+    modelDisplayLabel: "Claude AI"
+    streamRate: 1
+
   custom:
     # Deepseek
     - name: "Deepseek"
@@ -22,7 +32,7 @@ endpoints:
           manifest:
             schema:
               type: openapi
-              url: "http://agent-brain:8000/manifests/find_media_imdb_id.json"
+              url: "http://alfred:8000/manifests/find_media_imdb_id.json"
             auth:
               type: none
 
@@ -32,7 +42,7 @@ endpoints:
           manifest:
             schema:
               type: openapi
-              url: "http://agent-brain:8000/manifests/find_torrent.json"
+              url: "http://alfred:8000/manifests/find_torrent.json"
             auth:
               type: none
 
@@ -42,7 +52,7 @@ endpoints:
           manifest:
             schema:
               type: openapi
-              url: "http://agent-brain:8000/manifests/add_torrent_by_index.json"
+              url: "http://alfred:8000/manifests/add_torrent_by_index.json"
             auth:
               type: none
 
@@ -52,7 +62,7 @@ endpoints:
           manifest:
             schema:
               type: openapi
-              url: "http://agent-brain:8000/manifests/set_language.json"
+              url: "http://alfred:8000/manifests/set_language.json"
             auth:
               type: none
 
@@ -60,7 +70,7 @@ endpoints:
     # Backend Local Agent
     - name: "Local Agent"
       apiKey: "dummy_key"
-      baseURL: "http://agent-brain:8000/v1"
+      baseURL: "http://alfred:8000/v1"
       models:
         default: ["local-deepseek-agent"]
         fetch: false
@@ -75,7 +85,7 @@ endpoints:
           manifest:
             schema:
               type: openapi
-              url: "http://agent-brain:8000/manifests/find_media_imdb_id.json"
+              url: "http://alfred:8000/manifests/find_media_imdb_id.json"
             auth:
               type: none
 
@@ -85,7 +95,7 @@ endpoints:
           manifest:
             schema:
               type: openapi
-              url: "http://agent-brain:8000/manifests/find_torrent.json"
+              url: "http://alfred:8000/manifests/find_torrent.json"
             auth:
               type: none
 
@@ -95,7 +105,7 @@ endpoints:
           manifest:
             schema:
               type: openapi
-              url: "http://agent-brain:8000/manifests/add_torrent_by_index.json"
+              url: "http://alfred:8000/manifests/add_torrent_by_index.json"
             auth:
               type: none
 
@@ -105,6 +115,6 @@ endpoints:
           manifest:
             schema:
               type: openapi
-              url: "http://agent-brain:8000/manifests/set_language.json"
+              url: "http://alfred:8000/manifests/set_language.json"
             auth:
               type: none

poetry.lock

@@ -52,17 +52,17 @@ files = [
 
 [[package]]
 name = "bump-my-version"
-version = "1.2.5"
+version = "1.2.6"
 description = "Version bump your Python project"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "bump_my_version-1.2.5-py3-none-any.whl", hash = "sha256:57e5718d9fe7d7b6f5ceb68e70cd3c4bd0570d300b4aade15fd1e355febdd351"},
-    {file = "bump_my_version-1.2.5.tar.gz", hash = "sha256:827af6c7b13111c62b45340f25defd105f566fe0cdbbb70e2c4b2f005b667e1f"},
+    {file = "bump_my_version-1.2.6-py3-none-any.whl", hash = "sha256:a2f567c10574a374b81a9bd6d2bd3cb2ca74befe5c24c3021123773635431659"},
+    {file = "bump_my_version-1.2.6.tar.gz", hash = "sha256:1f2f0daa5d699904e9739be8efb51c4c945461bad83cd4da4c89d324d9a18343"},
 ]
 
 [package.dependencies]
-click = "<8.2.2"
+click = "<8.4"
 httpx = ">=0.28.1"
 pydantic = ">=2.0.0"
 pydantic-settings = "*"
@@ -218,13 +218,13 @@ files = [
 
 [[package]]
 name = "click"
-version = "8.2.1"
+version = "8.3.1"
 description = "Composable command line interface toolkit"
 optional = false
 python-versions = ">=3.10"
 files = [
-    {file = "click-8.2.1-py3-none-any.whl", hash = "sha256:61a3265b914e850b85317d0b3109c7f8cd35a670f963866005d6ef1d5175a12b"},
-    {file = "click-8.2.1.tar.gz", hash = "sha256:27c491cc05d968d271d5a1db13e3b5a184636d9d930f148c50b038f0d0646202"},
+    {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"},
+    {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"},
 ]
 
 [package.dependencies]
@@ -243,103 +243,103 @@ files = [
 
 [[package]]
 name = "coverage"
-version = "7.13.0"
+version = "7.13.1"
 description = "Code coverage measurement for Python"
 optional = false
 python-versions = ">=3.10"
 files = [
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-    {file = "coverage-7.13.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:367449cf07d33dc216c083f2036bb7d976c6e4903ab31be400ad74ad9f85ce98"},
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-    {file = "coverage-7.13.0-cp310-cp310-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:d10fd186aac2316f9bbb46ef91977f9d394ded67050ad6d84d94ed6ea2e8e54e"},
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+    {file = "coverage-7.13.1.tar.gz", hash = "sha256:b7593fe7eb5feaa3fbb461ac79aac9f9fc0387a5ca8080b0c6fe2ca27b091afd"},
 ]
 
 [package.extras]
@@ -372,13 +372,13 @@ testing = ["hatch", "pre-commit", "pytest", "tox"]
 
 [[package]]
 name = "fastapi"
-version = "0.127.0"
+version = "0.127.1"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "fastapi-0.127.0-py3-none-any.whl", hash = "sha256:725aa2bb904e2eff8031557cf4b9b77459bfedd63cae8427634744fd199f6a49"},
-    {file = "fastapi-0.127.0.tar.gz", hash = "sha256:5a9246e03dcd1fdb19f1396db30894867c1d630f5107dc167dcbc5ed1ea7d259"},
+    {file = "fastapi-0.127.1-py3-none-any.whl", hash = "sha256:31d670a4f9373cc6d7994420f98e4dc46ea693145207abc39696746c83a44430"},
+    {file = "fastapi-0.127.1.tar.gz", hash = "sha256:946a87ee5d931883b562b6bada787d6c8178becee2683cb3f9b980d593206359"},
 ]
 
 [package.dependencies]
@@ -1218,4 +1218,4 @@ files = [
 [metadata]
 lock-version = "2.0"
 python-versions = "==3.14.2"
-content-hash = "7046b2edca4660e38f5f14ef0282854a4bb7892af5028c4af9e968f2c65590c5"
+content-hash = "ec920fd78ea55c063bf2e4696c328056b50d8d1694f057c2d455ca2619938aac"

pyproject.toml

@@ -1,20 +1,38 @@
 [tool.poetry]
-name = "agent-media"
-version = "0.1.6"
+name = "alfred"
+version = "0.1.7"
 description = "AI agent for managing a local media library"
 authors = ["Francwa <francois.hodiaumont@gmail.com>"]
 readme = "README.md"
 package-mode = false
 
+[tool.alfred.settings]
+image_name = "alfred_media_organizer"
+librechat_version = "v0.8.1"
+rag_version = "v0.7.0"
+runner = "poetry"
+service_name = "alfred"
+
+[tool.alfred.security]
+jwt_secret = "32:b64"
+jwt_refresh_secret = "32:b64"
+creds_key = "32:b64"
+creds_iv = "16:b64"
+meili_master_key = "32:b64"
+mongo_password = "16:hex"
+postgres_password = "16:hex"
+qbittorrent_password = "16:hex"
+
 [tool.poetry.dependencies]
 python = "==3.14.2"
 python-dotenv = "^1.0.0"
 requests = "^2.32.5"
-fastapi = "^0.127.0"
+fastapi = "^0.127.1"
 pydantic = "^2.12.4"
 uvicorn = "^0.40.0"
 pytest-xdist = "^3.8.0"
 httpx = "^0.28.1"
+pydantic-settings = "^2.12.0"
 
 [tool.poetry.group.dev.dependencies]
 pytest = "^8.0.0"
@@ -31,6 +49,8 @@ build-backend = "poetry.core.masonry.api"
 [tool.pytest.ini_options]
 # Chemins où pytest cherche les tests
 testpaths = ["tests"]
+# Ajouter le répertoire racine au PYTHONPATH pour les imports
+pythonpath = ["."]
 
 # Patterns de fichiers/classes/fonctions à considérer comme tests
 python_files = ["test_*.py"]      # Fichiers commençant par "test_"