# ── Application ──────────────────────────────────────────────────────────────
ENV=dev

# ── Database ──────────────────────────────────────────────────────────────────
DATABASE_URL=postgresql+asyncpg://postgres:postgres@localhost:5432/adiuvai

# ── Auth ──────────────────────────────────────────────────────────────────────
JWT_SECRET=replace-with-a-long-random-secret
JWT_ALGORITHM=HS256
JWT_ACCESS_TOKEN_EXPIRE_MINUTES=30
JWT_REFRESH_TOKEN_EXPIRE_DAYS=30

# ── LLM ───────────────────────────────────────────────────────────────────────
# LiteLLM model identifiers — change to swap providers without code changes.
# Examples: gpt-4o, anthropic/claude-sonnet-4-20250514, gemini/gemini-pro, ollama/llama3
#
# API keys — only the key(s) matching your chosen provider(s) are required.
# The correct key is picked automatically from the model prefix (e.g.
# "anthropic/..." → ANTHROPIC_API_KEY, "gemini/..." → GOOGLE_API_KEY).
OPENAI_API_KEY=
ANTHROPIC_API_KEY=
GOOGLE_API_KEY=
CEREBRAS_API_KEY=
GROQ_API_KEY=
DEEPSEEK_API_KEY=

# Default model used by any agent that does not have a specific override below.
LLM_MODEL=gpt-5-mini
LLM_EMBED_MODEL=text-embedding-3-small

# GitHub Copilot — leave empty to use the LiteLLM default token directory.
# In Docker, point this to a named-volume path so tokens survive restarts.
# GITHUB_COPILOT_TOKEN_DIR=

# ── Per-agent model overrides ─────────────────────────────────────────────────
# Leave a value empty to fall back to LLM_MODEL.
# Each agent resolves its API key from the model prefix automatically.
#
# Intent classifier — routes user messages to the right domain agent.
# A small/fast model (e.g. gpt-4o-mini) is usually sufficient here.
LLM_MODEL_CLASSIFIER=

# Home-agent — handles chat from the home screen (all tools available).
LLM_MODEL_HOME_AGENT=

# Floating-agent — handles contextual chat triggered from a task/project/note.
LLM_MODEL_FLOATING_AGENT=

# Unified-processor — processes local directory files (local agent runner).
LLM_MODEL_UNIFIED_PROCESSOR=

# Cloud-processor — fetches and processes data from cloud connectors.
LLM_MODEL_CLOUD_PROCESSOR=

# Brief-agent — produces home and project text briefs.
# A small model (e.g. gpt-4o-mini) is sufficient.
# LLM_MODEL_BRIEF_AGENT=

# Setup-agent — guided journey to build an AgentConfig via WebSocket chat.
LLM_MODEL_SETUP_AGENT=

# Memory-extractor — Mem0-style extract/decide pipeline (Phase 2).
# Defaults to gpt-4o-mini when empty (fast + cheap, temperature=0).
LLM_MODEL_MEMORY_EXTRACTOR=

# Memory-miner — proactive pattern mining from episodic history (Phase 5, Power+ only).
# Defaults to gpt-4o-mini when empty.
LLM_MODEL_MEMORY_MINER=

# Memory-auditor — weekly contradiction scan + relation label canonicalization (Phase 7).
# Defaults to LLM_MODEL when empty (a reasoning-capable model is recommended).
LLM_MODEL_MEMORY_AUDITOR=

# Scheduler — set to false to disable memory cron jobs (automatically false in tests).
SCHEDULER_ENABLED=true

# ── Stripe (leave empty to stub billing) ──────────────────────────────────────
STRIPE_SECRET_KEY=
STRIPE_WEBHOOK_SECRET=


# ── Langfuse (leave empty to disable observability) ───────────────────────────
LANGFUSE_SECRET_KEY=
LANGFUSE_PUBLIC_KEY=
# LANGFUSE_BASE_URL=https://cloud.langfuse.com        # EU (default)
# LANGFUSE_BASE_URL=https://us.cloud.langfuse.com     # US
# LANGFUSE_BASE_URL=http://localhost:3000             # Self-hosted

# ── CORS ──────────────────────────────────────────────────────────────────────
# Comma-separated list parsed by Settings (override default if needed)
# CORS_ORIGINS=["app://.","http://localhost:3000"]