# =============================================================
# MiroShark Configuration
# =============================================================
# This fork runs on local Neo4j + Ollama — no cloud APIs required.
# Copy this file to .env and adjust values for your setup.
# =============================================================

# ===== LLM Configuration =====
# LLM_PROVIDER: "openai" (default, any OpenAI-compatible API) or "claude-code" (local CLI)
LLM_PROVIDER=openai

# --- OpenAI-compatible mode (default) ---
# 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
#
# --- OpenRouter mode (recommended cloud option) ---
# LLM_API_KEY=sk-or-v1-your-key
# LLM_BASE_URL=https://openrouter.ai/api/v1
# LLM_MODEL_NAME=qwen/qwen3-235b-a22b-2507

# --- Claude Code mode ---
# Set LLM_PROVIDER=claude-code to route all LLM calls through the local Claude Code CLI.
# Requires `claude` installed and logged in. No API key needed (uses your subscription).
# Optional: override model (default uses your Claude Code default)
# CLAUDE_CODE_MODEL=claude-sonnet-4-20250514

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

# ===== Embedding Configuration =====
# EMBEDDING_PROVIDER: "ollama" (uses /api/embed) or "openai" (uses /v1/embeddings)
# "openai" mode works with OpenRouter, OpenAI, Azure, or any compatible API.
EMBEDDING_PROVIDER=ollama
EMBEDDING_MODEL=nomic-embed-text
EMBEDDING_BASE_URL=http://localhost:11434
EMBEDDING_API_KEY=
EMBEDDING_DIMENSIONS=768
# For Docker: EMBEDDING_BASE_URL=http://ollama:11434
#
# --- Example: OpenRouter embeddings ---
# EMBEDDING_PROVIDER=openai
# EMBEDDING_MODEL=openai/text-embedding-3-small
# EMBEDDING_BASE_URL=https://openrouter.ai/api
# EMBEDDING_API_KEY=sk-or-v1-...
# EMBEDDING_DIMENSIONS=768

# ===== Smart Model (optional) =====
# Use a stronger model for intelligence-sensitive workflows:
# report generation, ontology extraction, graph reasoning.
# When not set, these workflows use the default LLM config above.
#
# --- Example: Claude Code for reports, Ollama for everything else ---
# SMART_PROVIDER=claude-code
# SMART_MODEL_NAME=claude-sonnet-4-20250514
#
# --- Example: OpenRouter premium model for reports ---
# SMART_PROVIDER=openai
# SMART_API_KEY=sk-or-v1-your-key
# SMART_BASE_URL=https://openrouter.ai/api/v1
# SMART_MODEL_NAME=anthropic/claude-sonnet-4
#
# --- Example: same provider, just a bigger model ---
# SMART_MODEL_NAME=qwen/qwen3-235b-a22b-2507

# ===== 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