.env.example

# =============================================================
# MiroFish-Offline Configuration
# =============================================================
# This fork runs entirely on local models — no cloud APIs needed.
# Copy this file to .env and adjust values for your setup.
# =============================================================

# ===== LLM Configuration (OpenAI-compatible format) =====
# Points to local Ollama server. Any non-empty value for API key works.
# For Docker: use service name "ollama" instead of "localhost"
LLM_API_KEY=ollama
LLM_BASE_URL=http://localhost:11434/v1
LLM_MODEL_NAME=qwen2.5:32b
# Lighter model for development (less VRAM):
# LLM_MODEL_NAME=qwen2.5:14b

# ===== Neo4j Configuration =====
# For Docker: use service name "neo4j" instead of "localhost"
NEO4J_URI=bolt://localhost:7687
NEO4J_USER=neo4j
NEO4J_PASSWORD=mirofish

# ===== Embedding Configuration =====
# Uses Ollama's embedding endpoint
EMBEDDING_MODEL=nomic-embed-text
EMBEDDING_BASE_URL=http://localhost:11434
# For Docker: EMBEDDING_BASE_URL=http://ollama:11434

# ===== OASIS / CAMEL-AI Configuration =====
# CAMEL-AI reads OPENAI_API_KEY and OPENAI_API_BASE_URL
# Points to same local Ollama server
OPENAI_API_KEY=ollama
OPENAI_API_BASE_URL=http://localhost:11434/v1

# ===== Docker-mode overrides =====
# Uncomment these when running ALL services inside Docker
# (backend container talks to neo4j/ollama containers by service name)
# LLM_BASE_URL=http://ollama:11434/v1
# NEO4J_URI=bolt://neo4j:7687
# EMBEDDING_BASE_URL=http://ollama:11434
# OPENAI_API_BASE_URL=http://ollama:11434/v1