Finished dockerization
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87
.env.example
87
.env.example
@@ -1,34 +1,69 @@
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# LLM Provider Selection
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# Options: "deepseek" or "ollama"
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LLM_PROVIDER=ollama
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# Agent Media - Environment Variables
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# DeepSeek LLM Configuration (if using DeepSeek)
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DEEPSEEK_API_KEY=your_deepseek_api_key
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DEEPSEEK_BASE_URL=https://api.deepseek.com
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DEEPSEEK_MODEL=deepseek-chat
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# LibreChat Security Keys
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# Generate secure keys with: openssl rand -base64 32
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JWT_SECRET=your-super-secret-jwt-key-change-this-in-production
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JWT_REFRESH_SECRET=your-super-secret-refresh-key-change-this-too
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# Ollama LLM Configuration (if using Ollama)
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OLLAMA_BASE_URL=http://localhost:11434
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OLLAMA_MODEL=llama3.2
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# Generate with: openssl rand -hex 16 (for CREDS_KEY)
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CREDS_KEY=your-32-character-secret-key-here
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# LLM Settings
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TEMPERATURE=0.2
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# Generate with: openssl rand -hex 8 (for CREDS_IV)
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CREDS_IV=your-16-character-iv-here
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# TMDB API Configuration
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TMDB_API_KEY=your_tmdb_api_key
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TMDB_BASE_URL=https://api.themoviedb.org/3
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# LibreChat Configuration
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DOMAIN_CLIENT=http://localhost:3080
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DOMAIN_SERVER=http://localhost:3080
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# Storage Configuration
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MEMORY_FILE=memory.json
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# Session expiry (in milliseconds)
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# Default: 15 minutes
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SESSION_EXPIRY=900000
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# Refresh token expiry (in milliseconds)
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# Default: 7 days
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REFRESH_TOKEN_EXPIRY=604800000
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# Meilisearch Configuration
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# Master key for Meilisearch (generate with: openssl rand -base64 32)
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MEILI_MASTER_KEY=DrhYf7zENyR6AlUCKmnz0eYASOQdl6zxH7s7MKFSfFU
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# PostgreSQL Configuration (for RAG API)
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POSTGRES_DB=librechat_rag
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POSTGRES_USER=postgres
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POSTGRES_PASSWORD=postgres
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# RAG API Configuration (Vector Database)
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RAG_COLLECTION_NAME=testcollection
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RAG_EMBEDDINGS_PROVIDER=openai
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RAG_EMBEDDINGS_MODEL=text-embedding-3-small
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# API Keys
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# OpenAI API Key (required for RAG embeddings)
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OPENAI_API_KEY=your-openai-api-key-here
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# Deepseek API Key (for LLM in agent-brain)
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DEEPSEEK_API_KEY=your-deepseek-api-key-here
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# Agent Brain Configuration
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# LLM Provider (deepseek or ollama)
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LLM_PROVIDER=deepseek
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# Memory storage directory (inside container)
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MEMORY_STORAGE_DIR=/data/memory
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# API Key for agent-brain (used by LibreChat custom endpoint)
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AGENT_BRAIN_API_KEY=agent-brain-secret-key
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# External Services (Optional)
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# TMDB API Key (for movie metadata)
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TMDB_API_KEY=your-tmdb-key
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# qBittorrent Configuration
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QBIT_HOST=http://192.168.178.47:30024
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QBIT_USER=admin
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QBIT_PASS=adminadmin
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QBITTORRENT_URL=http://localhost:8080
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QBITTORRENT_USERNAME=admin
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QBITTORRENT_PASSWORD=adminpass
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# Security Configuration
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MAX_TOOL_ITERATIONS=10
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REQUEST_TIMEOUT=30
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# Memory Configuration
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MAX_HISTORY_MESSAGES=10
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# Debug Options
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DEBUG_LOGGING=false
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DEBUG_CONSOLE=false
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17
brain/app.py
17
brain/app.py
@@ -9,6 +9,7 @@ from typing import Any
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from fastapi import FastAPI, HTTPException
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from fastapi.responses import JSONResponse, StreamingResponse
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from fastapi.staticfiles import StaticFiles
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from pydantic import BaseModel, Field, validator
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from agent.agent import Agent
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@@ -29,9 +30,21 @@ app = FastAPI(
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version="0.2.0",
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)
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# TODO: Make a variable
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manifests = "manifests"
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# Sécurité : on vérifie que le dossier existe pour ne pas faire planter l'app au démarrage
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if os.path.exists(manifests):
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app.mount("/manifests", StaticFiles(directory=manifests), name="manifests")
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else:
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print(
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f"⚠️ ATTENTION : Le dossier '{manifests}' est introuvable. Le plugin ne marchera pas."
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)
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# Initialize memory context at startup
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init_memory(storage_dir="memory_data")
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logger.info("Memory context initialized")
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# Use /data/memory in Docker, fallback to memory_data for local dev
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storage_dir = os.getenv("MEMORY_STORAGE_DIR", "memory_data")
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init_memory(storage_dir=storage_dir)
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logger.info(f"Memory context initialized (storage: {storage_dir})")
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# Initialize LLM based on environment variable
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llm_provider = os.getenv("LLM_PROVIDER", "deepseek").lower()
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@@ -6,6 +6,8 @@ services:
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build:
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context: ./brain
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dockerfile: Dockerfile
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container_name: agent-brain
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restart: unless-stopped
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env_file: .env
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ports:
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- "8000:8000"
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@@ -15,20 +17,188 @@ services:
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- agent-logs:/data/logs
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# Development: mount code for hot reload (comment out in production)
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# - ./brain:/app
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environment:
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# LLM Configuration
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LLM_PROVIDER: ${LLM_PROVIDER:-deepseek}
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DEEPSEEK_API_KEY: ${DEEPSEEK_API_KEY:-}
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# Da face
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frontend:
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build:
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context: ./librechat
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dockerfile: Dockerfile
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# Memory storage
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MEMORY_STORAGE_DIR: /data/memory
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# External services
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TMDB_API_KEY: ${TMDB_API_KEY:-}
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QBITTORRENT_URL: ${QBITTORRENT_URL:-}
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QBITTORRENT_USERNAME: ${QBITTORRENT_USERNAME:-}
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QBITTORRENT_PASSWORD: ${QBITTORRENT_PASSWORD:-}
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networks:
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- agent-network
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# Da face (LibreChat)
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librechat:
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image: ghcr.io/danny-avila/librechat-dev:latest
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container_name: librechat-frontend
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restart: unless-stopped
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ports:
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- "3080:3080"
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depends_on:
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- mongodb
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- meilisearch
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- rag_api
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- agent-brain
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env_file: .env
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environment:
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# MongoDB connection (no auth, matching LibreChat default)
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MONGO_URI: mongodb://mongodb:27017/LibreChat
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# App configuration
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HOST: 0.0.0.0
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PORT: 3080
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# Security
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JWT_SECRET: ${JWT_SECRET:-your-super-secret-jwt-key-change-this-in-production}
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JWT_REFRESH_SECRET: ${JWT_REFRESH_SECRET:-your-super-secret-refresh-key-change-this-too}
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CREDS_KEY: ${CREDS_KEY:-your-32-character-secret-key-here}
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CREDS_IV: ${CREDS_IV:-your-16-character-iv-here}
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# Session
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SESSION_EXPIRY: ${SESSION_EXPIRY:-1000 * 60 * 15}
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REFRESH_TOKEN_EXPIRY: ${REFRESH_TOKEN_EXPIRY:-1000 * 60 * 60 * 24 * 7}
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# Domain
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DOMAIN_CLIENT: ${DOMAIN_CLIENT:-http://localhost:3080}
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DOMAIN_SERVER: ${DOMAIN_SERVER:-http://localhost:3080}
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# Meilisearch
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MEILI_HOST: http://meilisearch:7700
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MEILI_MASTER_KEY: ${MEILI_MASTER_KEY:-DrhYf7zENyR6AlUCKmnz0eYASOQdl6zxH7s7MKFSfFU}
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# RAG API
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RAG_API_URL: http://rag_api:8000
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# Endpoints
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ENDPOINTS: custom
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# Custom endpoint pointing to agent-brain
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CUSTOM_API_KEY: ${AGENT_BRAIN_API_KEY:-agent-brain-secret-key}
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# Debug (optional)
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DEBUG_LOGGING: ${DEBUG_LOGGING:-false}
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DEBUG_CONSOLE: ${DEBUG_CONSOLE:-false}
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volumes:
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- ./librechat/librechat.yaml:/app/librechat.yaml:ro
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- librechat-images:/app/client/public/images
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- librechat-logs:/app/api/logs
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networks:
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- agent-network
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# MongoDB for LibreChat
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mongodb:
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image: mongo:latest
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container_name: librechat-mongodb
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restart: unless-stopped
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volumes:
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- mongodb-data:/data/db
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command: mongod --noauth
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ports:
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- "27017:27017"
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networks:
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- agent-network
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# Meilisearch - Search engine for LibreChat
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meilisearch:
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image: getmeili/meilisearch:v1.11.3
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container_name: librechat-meilisearch
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restart: unless-stopped
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volumes:
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- meilisearch-data:/meili_data
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environment:
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MEILI_HOST: http://meilisearch:7700
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MEILI_HTTP_ADDR: meilisearch:7700
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MEILI_MASTER_KEY: ${MEILI_MASTER_KEY:-DrhYf7zENyR6AlUCKmnz0eYASOQdl6zxH7s7MKFSfFU}
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ports:
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- "7700:7700"
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networks:
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- agent-network
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# PostgreSQL with pgvector for RAG API
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pgvector:
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image: ankane/pgvector:latest
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container_name: librechat-pgvector
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restart: unless-stopped
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environment:
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POSTGRES_DB: ${POSTGRES_DB:-librechat_rag}
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POSTGRES_USER: ${POSTGRES_USER:-postgres}
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POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-postgres}
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volumes:
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- pgvector-data:/var/lib/postgresql/data
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ports:
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- "5432:5432"
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networks:
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- agent-network
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# RAG API - Vector database for LibreChat
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rag_api:
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image: ghcr.io/danny-avila/librechat-rag-api-dev-lite:latest
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container_name: librechat-rag-api
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restart: unless-stopped
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depends_on:
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- pgvector
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environment:
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PORT: 8000
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HOST: 0.0.0.0
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# PostgreSQL connection (multiple variable names for compatibility)
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DB_HOST: pgvector
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DB_PORT: 5432
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DB_NAME: ${POSTGRES_DB:-librechat_rag}
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DB_USER: ${POSTGRES_USER:-postgres}
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DB_PASSWORD: ${POSTGRES_PASSWORD:-postgres}
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POSTGRES_DB: ${POSTGRES_DB:-librechat_rag}
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POSTGRES_USER: ${POSTGRES_USER:-postgres}
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POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-postgres}
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# RAG configuration
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COLLECTION_NAME: ${RAG_COLLECTION_NAME:-testcollection}
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EMBEDDINGS_PROVIDER: ${RAG_EMBEDDINGS_PROVIDER:-openai}
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EMBEDDINGS_MODEL: ${RAG_EMBEDDINGS_MODEL:-text-embedding-3-small}
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OPENAI_API_KEY: ${OPENAI_API_KEY:-}
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RAG_UPLOAD_DIR: /app/uploads
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volumes:
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- rag-uploads:/app/uploads
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ports:
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- "8001:8000"
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networks:
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- agent-network
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# Named volumes for persistent data
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volumes:
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# MongoDB data
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mongodb-data:
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driver: local
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# Meilisearch data
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meilisearch-data:
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driver: local
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# PostgreSQL pgvector data
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pgvector-data:
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driver: local
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# RAG API uploads
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rag-uploads:
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driver: local
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# LibreChat data
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librechat-images:
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driver: local
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librechat-logs:
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driver: local
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# Agent Brain data
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agent-memory:
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driver: local
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agent-logs:
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driver: local
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driver: local
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# Network for inter-service communication
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networks:
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agent-network:
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driver: bridge
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27
generate-keys.sh
Executable file
27
generate-keys.sh
Executable file
@@ -0,0 +1,27 @@
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#!/bin/bash
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# Script to generate secure keys for LibreChat
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# Run this script to generate random secure keys for your .env file
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echo "==================================="
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echo "LibreChat Security Keys Generator"
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echo "==================================="
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echo ""
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echo "# MongoDB Password"
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echo "MONGO_PASSWORD=$(openssl rand -base64 24)"
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echo ""
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echo "# JWT Secrets"
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echo "JWT_SECRET=$(openssl rand -base64 32)"
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echo "JWT_REFRESH_SECRET=$(openssl rand -base64 32)"
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echo ""
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echo "# Credentials Encryption Keys"
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echo "CREDS_KEY=$(openssl rand -hex 16)"
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echo "CREDS_IV=$(openssl rand -hex 8)"
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echo ""
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echo "==================================="
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echo "Copy these values to your .env file"
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echo "==================================="
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@@ -1,4 +0,0 @@
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FROM ghcr.io/danny-avila/librechat:latest
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COPY librechat.yaml /app/librechat.yaml
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COPY librechat_providers.js /app/librechat_providers.js
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@@ -1,10 +0,0 @@
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[
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{
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"name": "LocalAgent",
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"type": "openai",
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"baseURL": "http://host.docker.internal:8000",
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"apiKey": "sk-8b00d72c417740ea96efd9c3eeddd148",
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"model": "local-deepseek-agent",
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"custom": true
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}
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]
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Reference in New Issue
Block a user