My-AI-Learning-Notes/.env.example at main · markl-a/My-AI-Learning-Notes · GitHub

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# ============================================================
# Environment Variables Template
# ============================================================
#
# 使用方式：
# 1. 複製此文件: cp .env.example .env
# 2. 填入您的 API 金鑰和配置
# 3. .env 文件已被 .gitignore 忽略，不會被提交到 Git
#
# ============================================================

# ==================== LLM API 金鑰 ====================

# OpenAI API
OPENAI_API_KEY=sk-your-openai-api-key-here
OPENAI_ORG_ID=  # 可選
OPENAI_BASE_URL=https://api.openai.com/v1  # 可自定義

# Anthropic API (Claude)
ANTHROPIC_API_KEY=sk-ant-your-anthropic-api-key-here

# Google Gemini API
GOOGLE_API_KEY=your-google-api-key-here

# Cohere API
COHERE_API_KEY=your-cohere-api-key-here

# Hugging Face
HUGGINGFACE_API_KEY=hf_your-huggingface-token-here

# ==================== 向量數據庫 ====================

# Pinecone
PINECONE_API_KEY=your-pinecone-api-key-here
PINECONE_ENVIRONMENT=your-environment

# Weaviate
WEAVIATE_URL=http://localhost:8080
WEAVIATE_API_KEY=your-weaviate-api-key-here

# Qdrant
QDRANT_URL=http://localhost:6333
QDRANT_API_KEY=your-qdrant-api-key-here

# ==================== 搜尋 API ====================

# SerpAPI (Google Search)
SERPAPI_API_KEY=your-serpapi-key-here

# Tavily Search
TAVILY_API_KEY=your-tavily-key-here

# ==================== 監控與追蹤 ====================

# LangSmith
LANGCHAIN_TRACING_V2=true
LANGCHAIN_API_KEY=your-langsmith-api-key-here
LANGCHAIN_PROJECT=my-ai-learning-project
LANGCHAIN_ENDPOINT=https://api.smith.langchain.com

# Weights & Biases
WANDB_API_KEY=your-wandb-api-key-here
WANDB_PROJECT=my-ai-learning
WANDB_ENTITY=your-wandb-username

# MLflow
MLFLOW_TRACKING_URI=http://localhost:5000

# LangFuse
LANGFUSE_PUBLIC_KEY=your-langfuse-public-key
LANGFUSE_SECRET_KEY=your-langfuse-secret-key
LANGFUSE_HOST=https://cloud.langfuse.com

# ==================== 數據庫 ====================

# PostgreSQL (用於向量存儲)
POSTGRES_HOST=localhost
POSTGRES_PORT=5432
POSTGRES_DB=vectordb
POSTGRES_USER=postgres
POSTGRES_PASSWORD=your-password

# MongoDB
MONGODB_URI=mongodb://localhost:27017/ai_learning

# Redis
REDIS_HOST=localhost
REDIS_PORT=6379
REDIS_PASSWORD=your-redis-password

# ==================== 應用配置 ====================

# 環境類型
ENVIRONMENT=development  # development, staging, production

# 日誌級別
LOG_LEVEL=INFO  # DEBUG, INFO, WARNING, ERROR, CRITICAL

# API 服務配置
API_HOST=0.0.0.0
API_PORT=8000
API_WORKERS=4

# ==================== 模型配置 ====================

# 默認模型
DEFAULT_LLM_MODEL=gpt-4o-mini
DEFAULT_EMBEDDING_MODEL=text-embedding-3-small

# 模型參數
LLM_TEMPERATURE=0.7
LLM_MAX_TOKENS=2000
LLM_TOP_P=0.9

# ==================== RAG 配置 ====================

# 向量數據庫類型
VECTOR_DB=chromadb  # chromadb, faiss, pinecone, qdrant

# 檢索配置
RETRIEVAL_TOP_K=5
CHUNK_SIZE=1000
CHUNK_OVERLAP=200

# ==================== 安全配置 ====================

# JWT 密鑰
JWT_SECRET_KEY=your-super-secret-jwt-key-change-in-production
JWT_ALGORITHM=HS256
JWT_EXPIRATION_HOURS=24

# CORS 設定
ALLOWED_ORIGINS=http://localhost:3000,http://localhost:8501

# ==================== 其他服務 ====================

# Ollama (本地 LLM)
OLLAMA_HOST=http://localhost:11434

# Elasticsearch
ELASTICSEARCH_URL=http://localhost:9200
ELASTICSEARCH_API_KEY=your-elasticsearch-api-key

# ==================== 代理設定 ====================

# HTTP 代理 (如需要)
HTTP_PROXY=
HTTPS_PROXY=
NO_PROXY=localhost,127.0.0.1

# ==================== 開發工具 ====================

# 是否啟用調試模式
DEBUG=true

# 是否啟用熱重載
RELOAD=true

# ==================== 雲端服務 ====================

# AWS
AWS_ACCESS_KEY_ID=your-aws-access-key
AWS_SECRET_ACCESS_KEY=your-aws-secret-key
AWS_REGION=us-east-1
AWS_S3_BUCKET=your-s3-bucket

# Google Cloud
GOOGLE_APPLICATION_CREDENTIALS=/path/to/credentials.json
GCP_PROJECT_ID=your-gcp-project-id

# Azure
AZURE_SUBSCRIPTION_ID=your-azure-subscription-id
AZURE_RESOURCE_GROUP=your-resource-group

# ==================== 提醒 ====================
# 🔒 請確保：
# 1. 不要將 .env 文件提交到版本控制
# 2. 生產環境使用強密碼
# 3. 定期輪換 API 金鑰
# 4. 使用環境變量管理敏感信息
# ============================================================