.env.example

# ClawMem Environment Variables
# Copy to .env and customize. All variables are optional — defaults work for local GPU setups.

# GPU inference endpoints (llama-server instances)
# CLAWMEM_EMBED_URL=http://localhost:8088

# Cloud embedding API (OpenAI, Voyage AI, Jina AI, Cohere - any /v1/embeddings compatible provider)
# Set CLAWMEM_EMBED_URL to the provider base URL (e.g. https://api.jina.ai)
# CLAWMEM_EMBED_API_KEY=jina_...
# CLAWMEM_EMBED_MODEL=jina-embeddings-v5-text-small

# Cloud embedding rate limit — tokens per minute for your tier (controls batch pacing)
# Jina: Free=100000 (default), Paid=2000000, Premium=50000000
# CLAWMEM_EMBED_TPM_LIMIT=100000

# Output dimensions for OpenAI text-embedding-3-* Matryoshka models (e.g. 512, 1024)
# CLAWMEM_EMBED_DIMENSIONS=

# CLAWMEM_LLM_URL=http://localhost:8089
# CLAWMEM_RERANK_URL=http://localhost:8090

# Block node-llama-cpp from auto-downloading GGUF models (set true for remote-only GPU)
# CLAWMEM_NO_LOCAL_MODELS=false

# HTTP REST API server token (disabled if unset — open access on localhost)
# CLAWMEM_API_TOKEN=your-secret-token-here