RyanNg

# Cipher Environment Configuration # Copy this file to .env and fill in your actual values # ==================== # API Configuration # ==================== # At least one API key is required OPENAI_API_KEY=your-openai-api-key-here ANTHROPIC_API_KEY=your-anthropic-api-key-here OPENROUTER_API_KEY=your-openrouter-api-key-here QWEN_API_KEY=your-alibaba-cloud-api-key-here GEMINI_API_KEY=your-gemini-api-key-here VOYAGE_API_KEY=your-voyage-api-key-here DEEPSEEK_API_KEY=your-deepseek-api-key-here # Ollama Configuration (optional - only if using Ollama) # OLLAMA_BASE_URL=http://localhost:11434 # ==================== # Embedding Configuration (optional) # ==================== # Provider priority: OpenAI > Gemini > Ollama > Disabled # If not specified in YAML, uses environment auto-detection # Override embedding model (optional) # EMBEDDING_MODEL=text-embedding-3-small # Disable embeddings entirely (lightweight mode) # DISABLE_EMBEDDINGS=true # Optional: OpenAI base URL (for custom endpoints) # OPENAI_BASE_URL=https://api.openai.com/v1 # ==================== # AWS Bedrock Configuration (optional - only if using AWS provider) # ==================== AWS_ACCESS_KEY_ID=your-aws-access-key-id AWS_SECRET_ACCESS_KEY=your-aws-secret-access-key AWS_DEFAULT_REGION=us-east-1 # Optional: AWS_SESSION_TOKEN=your-session-token # ==================== # Azure OpenAI Configuration (optional - only if using Azure provider) # ==================== AZURE_OPENAI_API_KEY=your-azure-openai-api-key AZURE_OPENAI_ENDPOINT=https://your-resource.openai.azure.com AZURE_OPENAI_API_VERSION=2024-10-01-preview # ==================== # Application Settings # ==================== NODE_ENV=development CIPHER_LOG_LEVEL=info REDACT_SECRETS=true # API prefix for routes # CIPHER_API_PREFIX="" # ==================== # Storage Configuration # ==================== STORAGE_CACHE_TYPE=in-memory # STORAGE_CACHE_HOST=localhost # STORAGE_CACHE_PORT=6379 # STORAGE_CACHE_USERNAME= # STORAGE_CACHE_PASSWORD= # STORAGE_CACHE_DATABASE=0 STORAGE_DATABASE_TYPE=in-memory # STORAGE_DATABASE_NAME=cipher.db # STORAGE_DATABASE_PATH=./data # ==================== # Web Search Configuration # ==================== WEB_SEARCH_ENABLE=true WEB_SEARCH_ENGINE=duckduckgo # From now, cipher only supports duckduckgo engine WEB_SEARCH_SAFETY_MODE=strict # Strict or moderate WEB_SEARCH_MAX_RESULTS=2 # Number of search result at once WEB_SEARCH_RATE_LIMIT=10 # Rate limit per minute CIPHER_MULTI_BACKEND=1 CIPHER_PG_URL=postgres://cipheruser:cipherpass@localhost:5432/cipherdb CIPHER_WAL_FLUSH_INTERVAL=5000 # ==================== # Memory Search Configuration # ==================== # Options: knowledge, reflection, both SEARCH_MEMORY_TYPE=both # ==================== # Vector Store Configuration # ==================== # Available types: in-memory, chromadb, qdrant, milvus, faiss, pgvector, pinecone, weaviate, redis VECTOR_STORE_TYPE=in-memory # Qdrant configuration (only used if VECTOR_STORE_TYPE=qdrant) # VECTOR_STORE_HOST=localhost # VECTOR_STORE_PORT=6333 # VECTOR_STORE_URL=http://localhost:6333 # VECTOR_STORE_API_KEY=your-qdrant-api-key # Milvus configuration (only used if VECTOR_STORE_TYPE=milvus) # VECTOR_STORE_HOST=localhost # VECTOR_STORE_PORT=19530 # VECTOR_STORE_URL=your-milvus-cluster-endpoint # VECTOR_STORE_API_KEY=your-milvus-api-key # VECTOR_STORE_USERNAME=your-milvus-zilliz-cloud-username # VECTOR_STORE_PASSWORD=your-milvus-zilliz-cloud-password # Vector collection settings # NOTE: Naming rules vary by database type (see comments in original file). # The name of the main collection/index for knowledge memory. # # IMPORTANT: Naming rules are specific to your chosen VECTOR_STORE_TYPE: # - ChromaDB, Milvus, pgvector: Alphanumeric and underscores (_). Hyphens (-) are not allowed. # - Pinecone: Lowercase alphanumeric and hyphens (-). Underscores (_) are not allowed. # - Qdrant: Alphanumeric, underscores (_), and hyphens (-) are all supported. # - Weaviate: PascalCase only (e.g., MyNewCollection). No special characters. # - Redis: Flexible; typically uses alphanumeric, _, -, and :. VECTOR_STORE_COLLECTION=knowledge_memory # VECTOR_STORE_COLLECTION_NAME=your_collection_name VECTOR_STORE_DIMENSION=1536 VECTOR_STORE_DISTANCE=Cosine VECTOR_STORE_ON_DISK=false # VECTOR_STORE_MAX_VECTORS=10000 # ==================== # Reflection Memory Configuration # ==================== REFLECTION_VECTOR_STORE_COLLECTION=reflection_memory DISABLE_REFLECTION_MEMORY=true # ==================== # MCP Configuration # ==================== # MCP_GLOBAL_TIMEOUT=30000 # ==================== # Knowledge Graph Configuration (optional) # ==================== # NEO4J LOCAL CONFIGURATION (for local development) # Local Neo4j configuration # KNOWLEDGE_GRAPH_HOST=localhost # KNOWLEDGE_GRAPH_PORT=7687 # KNOWLEDGE_GRAPH_URI=bolt://localhost:7687 # KNOWLEDGE_GRAPH_USERNAME=neo4j # KNOWLEDGE_GRAPH_PASSWORD=your-local-password # KNOWLEDGE_GRAPH_DATABASE=neo4j # NEO4J CLOUD CONFIGURATION (for cloud deployment) # KNOWLEDGE_GRAPH_URI=neo4j+s://your-instance.databases.neo4j.io:7687 # KNOWLEDGE_GRAPH_USERNAME=neo4j # KNOWLEDGE_GRAPH_PASSWORD=your-password # KNOWLEDGE_GRAPH_DATABASE=neo4j # CONFIGURATION FOR EVENT MANAGEMENT # # Enable or disable event filtering (true/false) # EVENT_FILTERING_ENABLED=false # # Comma-separated list of event types to filter out (block) # # Example: tool:executionStarted,tool:executionCompleted,llm:thinking # EVENT_FILTERED_TYPES= # # Enable or disable event persistence (true/false) # EVENT_PERSISTENCE_ENABLED=true # # Path to store event log files (if using file storage) # EVENT_PERSISTENCE_PATH=./data/events # Enable or disable input refinement for better retrieval ENABLE_QUERY_REFINEMENT=true